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BS, Levy G (2009) Comparison of density of stainless steel 316L parts produced with selective laser melting using different powder grades. In Solid Free. Fabr. Proc., University of Texas at Austin. p 342–353. URL https:\u002F\u002Fwww.research-collection.ethz.ch:443\u002Fhandle\u002F20.500.11850\u002F22167\nVanessa S, Dirk H, Claus E (2017) Relationship between powder characteristics and part properties in laser beam melting of Ti-6Al-4V, and implications on quality. J. Laser Appl., 29(2):022311. ISSN 1042-346X. 10.2351\u002F1.4983240\nJun HT, Wai LEW, Kenneth WD (2017) An overview of powder granulometry on feedstock and part performance in the selective laser melting process. Addit Manuf 18:228–255. ISSN 22148604. 10.1016\u002Fj.addma.2017.10.011\nSlotwinski JA, Stutzman PE, Ferraris CF, Watson SS, Peltz MA, Garboczi EJ (2014) Physical and chemical characterization techniques for metallic powders. AIP Conf Proc 1581(33):1178–1183. ISSN 15517616. 10.1063\u002F1.4864954\nAustin TS, Caitlin SK, Ming CL, Joseph WN (2017) Powder characterisation techniques and effects of powder characteristics on part properties in powder-bed fusion processes. Virtual Phys Prototyp 12(1):3–29. ISSN 17452767. 10.1080\u002F17452759.2016.1250605\nWilhelm M (1999) Direktes Selektives Laser Sintern Einkomponentiger Metallischer Werkstoffe. PhD thesis, RWTH Aachen University\nBochuan L, Ricky W, Christopher T, Ian A, Richard H (2011) Investigaztion the effect of particle size distribution on processing parameters optimisation in selective laser melting process. 22nd Annu Int Solid Free. Fabr. Symp. - An Addit. Manuf. Conf. SFF 2011, p 227–238,\nVanessa S (2018) Werkstoff- und Prozessverhalten von Metallpulvern in der laseradditiven Fertigung. PhD thesis, Hamburg University of Technology. URL http:\u002F\u002Flink.springer.com\u002F10.1007\u002F978-3-662-58233-6\nLutter-Günther M, Horn M, Seidel C, Reinhart G (2017) Influence of particle size distribution on powder flowability and part properties in laser beam melting: Einfluss der Korngrößenverteilung auf Fließfähigkeit und Bauteilqualität beim Laserstrahlschmelzen. Rapid. Tech-International Trade Show Conf. Addit. Manuf. Proc. 14th Rapid. Tech Conf. Erfurt, Ger., p 20–22\nBalbaa MA, Ghasemi A, Fereiduni E, Elbestawi MA, Jadhav SD, Kruth JP (2021) Role of powder particle size on laser powder bed fusion processability of AlSi10mg alloy. Addit Manuf, 37:101630. ISSN 22148604. 10.1016\u002Fj.addma.2020.101630\nChristopher P, Sathiskumar J (2018) Influence of powder characteristics and additive manufacturing process parameters on the microstructure and mechanical behaviour of Inconel 625 fabricated by selective laser melting. Addit Manuf, 24:419–431. ISSN 22148604. 10.1016\u002Fj.addma.2018.09.023\nGürtler FJ, Karg M, Dobler M, Kohl S, Tzivilsky I, Schmidt M (2014) Influence of powder distribution on process stability in laser beam melting: Analysis of melt pool dynamics by numerical simulations. 25th Annu. Int. Solid Free. Fabr. Symp. An Addit. Manuf. Conf. SFF 2014, 1099–1117\nMichael JH, Lisa AD, Jeff MR, Josh RK, Dan JT, David JS, Bradley HJ (2019) Evolution of 316L stainless steel feedstock due to laser powder bed fusion process. Addit Manuf, 25:84–103. ISSN 22148604. 10.1016\u002Fj.addma.2018.10.019\nSilvia V, Burghardt K, Alexander K, Thomas W, Bernd K (2019) Powders for powder bed fusion: a review. Prog Addit Manuf, 4(4):383–397. ISSN 2363-9512. 10.1007\u002Fs40964-019-00078-6\nDebRoy T, Wei HT, Zuback JS, Mukherjee T, Elmer JW, Milewski JO, Beese AM, Wilson-Heid A, Zhang W (2018) Additive manufacturing of metallic components – Process, structure and properties. Prog Mater Sci, 92:112–224. ISSN 00796425. 10.1016\u002Fj.pmatsci.2017.10.001\nKirstin R, Nikolaj A, Stefan Z, Robert R, Lukas H, Adriaan BS, Gerhard JL (2020) Influence of particle size distribution and morphology on the properties of the powder feedstock as well as of AlSi10Mg parts produced by laser powder bed fusion (LPBF). Addit Manuf 34:101286. ISSN 22148604. 10.1016\u002Fj.addma.2020.101286\nGustavo WM, Daniel OT, Julio CC, Aulio CG (2004) Effect of porosity on the tensile properties of low ductility aluminum alloys. Mater Res 7(2):221–229. ISSN 1516-1439. 10.1590\u002FS1516-14392004000200002\nAnneke MB, Jaap CB, Pieter V, Wesselingh JA, Henderik WF (2004) Which shape factor(s) best describe granules? Powder Technol 146(1-2):66–72 . ISSN 00325910. 10.1016\u002Fj.powtec.2004.04.044\nHenk GM (2009) Particle size measurements fundamentals, practice, quality. Springer, London. ISBN 9781402090158 1402090153\nAntonio FAB (2016) Characterization and prediction of SLS processability of polymer powders with respect to powder flow and part warpage. PhD thesis, ETH Zurich. http:\u002F\u002Fhdl.handle.net\u002F20.500.11850\u002F116949\nSpierings AB, Voegtlin M, Bauer T, Wegener K (2016) Powder flowability characterisation methodology for powder-bed-based metal additive manufacturing. Prog Addit Manuf, 1(1-2):9–20. ISSN 2363-9512. 10.1007\u002Fs40964-015-0001-4\nHenry HH (1981) Powder characteristics and their effect on powder processing. Powder Technol 30(1):3–8. ISSN 0032-5910. https:\u002F\u002Fdoi.org\u002F10.1016\u002F0032-5910(81)85021-8. http:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002F0032591081850218\nAmerican Society for Testing and Materials (ASTM) (2018) ASTM B417 - standard test method for apparent density of non-Free-flowing metal powders using the Carney Funnel. ASTM B. Stand., p 7–9. 10.1520\u002FB0417-18.2\nAmerican Society for Testing and Materials (ASTM) (2015) ASTM B527 - standard test method for tap density of metal powders and compounds. ASTM B Stand, p 15–18. 10.1520\u002FB0527-15.2\nSpierings AB, Schneider M, Eggenberger M (2011) Comparison of density measurement techniques for additive manufactured metallic parts. Rapid Prototyp J 17(5):380–386. ISSN 13552546. 10.1108\u002F13552541111156504\nLukas H, Livia H, Adriaan S, Konrad W, Kirstin R, Stefan Z, Gerhard JL (2021) The influence of particle shape, powder flowability, and powder layer density on part density in laser powder bed fusion. Metals (Basel) 11(3):1–15. ISSN 20754701. 10.3390\u002Fmet11030418\nMatthew K, Hui Z, Jesse Z (2009) Characterization of powder flow: static and dynamic testing. Powder Technol 194(3):239–245. ISSN 00325910. 10.1016\u002Fj.powtec.2009.05.001\nAbele HS, Fischer J, Siedelhofer C (2011) Selective laser melting of porous structures. Proc 22th Int Solid Free Fabr Symp, 19(4):680–695, 2011. 10.3724\u002FSP.J.1042.2011.00580\nGalina K, Jan H, Joachim G, Guillermo R (2016) Correlation between porosity and processing parameters in tial6v4 produced by selective laser melting. Mater Design 105:160 – 170. ISSN 0264-1275. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.matdes.2016.05.070. http:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS0264127516306761\nDilip JSJ, Shanshan Z, Chong T, Kai Z, Chris R, Deepankar P, Brent S (2017) Influence of processing parameters on the evolution of melt pool, porosity, and microstructures in Ti-6Al-4V alloy parts fabricated by selective laser melting. Prog Addi. Manuf 2(3):157–167. ISSN 23639520. 10.1007\u002Fs40964-017-0030-2\nQilin G, Cang Z, Minglei Q, Lianghua X, Mohammad S, Hojjatzadeh H, Luis IE, Niranjan DP, Kamel F, Tao S, Lianyi C (2020) In-situ full-field mapping of melt flow dynamics in laser metal additive manufacturing. Addit Manuf, 31:100939. ISSN 22148604. 10.1016\u002Fj.addma.2019.100939\nMukherjee T, Zuback JS, De A, DebRoy T (2016) Printability of alloys for additive manufacturing. Sci Rep 6:1–8. ISSN 20452322. 10.1038\u002Fsrep19717\nYousub L, Zhang W (2015) Mesoscopic simulation of heat transfer and fluid flow in laser powder bed additive manufacturing. In Solid Free Fabr Proc, p 1154–1165. University of Texas at Austin\nGusarov AV, Smurov I (2010) Modeling the interaction of laser radiation with powder bed at selective laser melting. Phys Procedia, 5:381–394. ISSN 18753892. 10.1016\u002Fj.phpro.2010.08.065",{"EN":222},"Powder bed fusion (PBF) is the most commonly adopted additive manufacturing process for fabricating complex metal parts via the layer-wise melting of a powder bed using a laser beam. However, the qualification of PBF-manufactured parts remains challenging and expensive, thereby limiting the broader industrialization of the technology. Powder characteristics significantly influence part properties, and understanding the influencing factors contributes to effective quality standards for PBF. In this study, the influence of the particle size distribution (PSD) median and width on powder flowability and part properties is investigated. Seven gas-atomized SS316L powders with monomodal PSDs, a median particle size ranging from 10 μm to 60 μm, and a distribution width of 15 μm and 30 μm were analyzed and subsequently processed. The PBF-manufactured parts were analyzed in terms of density and melt pool dimensions. Although powder flowability was inversely related to the median particle size, it was unrelated to the distribution width. An inverse relationship between the median particle size and the part density was observed; however, no link was found to the distribution width. Likely, the melt pool depth and width fluctuation significantly influence the part density. 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In: Sim-AM 2019: II international conference on simulation for additive manufacturing, CIMNE. pp 297– 308\nKrüger T, Kusumaatmaja H, Kuzmin A, Shardt O, Silva G, Viggen EM (2017) The lattice Boltzmann method, vol 10, no 978–3. Springer International Publishing. pp 4–15\nWittmann M, Zeiser T, Hager G, Wellein G (2013) Comparison of different propagation steps for lattice Boltzmann methods. Comput Math Appl 65(6):924–935\nNguyen A, Satish N, Chhugani J, Kim C, Dubey P (2010) 3.5-D blocking optimization for stencil computations on modern CPUs and GPUs. In: SC’10: Proceedings of the 2010 ACM\u002FIEEE international conference for high performance computing, networking, storage and analysis, IEEE. pp 1– 13\nWellein G, Hager G, Zeiser T, Wittmann M, Fehske H ( 2009) Efficient temporal blocking for stencil computations by multicore-aware wavefront parallelization. In: 2009 33rd Annual IEEE international computer software and applications conference, vol 1. IEEE, pp 579– 586\nKiSSAM Simulation Software for Additive Manufacturing. www.kissam.cloud. Accessed May 2023\nLi C, Fu CH, Guo YB, Fang FZ (2015) Fast prediction and validation of part distortion in selective laser melting. Procedia Manuf 1:355–365. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.promfg.2015.09.042 (43rd North American Manufacturing Research Conference, NAMRC 43, 8–12 (June2015) UNC Charlotte. North Carolina, United States)\nZhang XX, Wang D, Xiao BL, Andrä H, Gan WM, Hofmann M, Ma ZY (2017) Enhanced multiscale modeling of macroscopic and microscopic residual stresses evolution during multi-thermo-mechanical processes. Mater Des 115:364–378. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.matdes.2016.11.070\nDenlinger ER, Gouge M, Irwin J, Michaleris P (2017) Thermomechanical model development and in situ experimental validation of the laser powder-bed fusion process. Addit Manuf 16:73–80. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.addma.2017.05.001\nZeng K, Pal D, Gong HJ, Patil N, Stucker B (2015) Comparison of 3dsim thermal modelling of selective laser melting using new dynamic meshing method to ANSYS. Mater Sci Technol 31(8):945–956. https:\u002F\u002Fdoi.org\u002F10.1179\u002F1743284714Y.0000000703\nThurey N (2007) Physically based animation of free surface flows with the lattice Boltzmann method. PhD thesis\nMuseth K (2013) VDB: high-resolution sparse volumes with dynamic topology. ACM Trans Graph (TOG) 32(3):1–22\nThies M (2005) Lattice Boltzmann modeling with free surfaces applied to in-situ gas generated foam formation. PhD thesis, University of Erlangen-Nuremberg, Erlangen\nBogner S (2017) Direct numerical simulation of liquid–gas–solid flows based on the lattice Boltzmann method. PhD thesis, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen\nMarangoni C (1865) Sull’espansione delle Goccie D’un Liquido Galleggianti Sulla Superfice di Altro Liquido. Fratelli Fusi, Pavia, Italy\nDantzig JA, Rappaz M (2016) Solidification: revised & expanded. EPFL Press, Lausanne\nChatterjee D, Chakraborty S (2006) A hybrid lattice Boltzmann model for solid–liquid phase transition in presence of fluid flow. Phys Lett A 351(4–5):359–367\nSukop MC, Thorne DT (2010) Lattice Boltzmann modeling: an introduction for geoscientists and engineers, 1st edn. Springer, New York\nKnight CJ (1979) Theoretical modeling of rapid surface vaporization with back pressure. AIAA J 17(5):519–523\nKlassen A (2018) Simulation of evaporation phenomena in selective electron beam melting. FAU University Press, Erlangen\nJoy DC (1991) An introduction to Monte Carlo simulations. Scan Microsc 5(2):4\nMurata K, Matsukawa T, Shimizu R (1971) Monte Carlo calculations on electron scattering in a solid target. Jpn J Appl Phys 10(6):678\nJones BD, Williams JR (2017) Fast computation of accurate sphere-cube intersection volume. Eng Comput 34(4):1204–1216\nJoy D, Luo S (1989) An empirical stopping power relationship for low-energy electrons. Scanning 11(4):176–180\nNVIDIA Corporation (2023) NVIDIA CUDA C programming guide. Version 12.2. https:\u002F\u002Fdocs.nvidia.com\u002Fcuda\u002Fcuda-c-programming-guide\u002Findex.html\nWilliams S, Waterman A, Patterson D (2009) Roofline: an insightful visual performance model for multicore architectures. Commun ACM 52(4):65–76\nAvila LS, Kitware I (2010) The VTK user’s guide. Kitware, New York. https:\u002F\u002Fbooks.google.ru\u002Fbooks?id=6IxSewAACAAJ\nVerlet L (1967) Computer experiments on classical fluids. I. Thermodynamical properties of Lennard–Jones molecules. Phys Rev 159(1):98\nGovender N, Wilke DN, Kok S (2015) Collision detection of convex polyhedra on the NVIDIA GPU architecture for the discrete element method. Appl Math Comput 267:810–829\nGovender N, Wilke DN, Kok S (2016) Blaze-DEMGPU: modular high performance DEM framework for the GPU architecture. SoftwareX 5:62–66\nKorneev B, Zakirov A, Bogdanova M, Belousov S, Perepelkina A, Iskandarova I, Potapkin B (2023) A numerical study of powder wetting influence on the morphology of laser powder bed fusion manufactured thin walls. Addit Manuf 74:103705. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.addma.2023.103705\nSchroeder WJ, Zarge JA, Lorensen WE (1992) Decimation of triangle meshes. In: Proceedings of the 19th annual conference on computer graphics and interactive techniques, pp 65– 70\nKhairallah SA, Anderson A (2014) Mesoscopic simulation model of selective laser melting of stainless steel powder. J Mater Process Technol 214(11):2627–2636\nMegahed M, Mindt H-W, Shula B, Peralta A, Neumann J (2016) Powder bed models—numerical assessment of as-built. Quality. https:\u002F\u002Fdoi.org\u002F10.2514\u002F6.2016-1657\nLee Y, Zhang W (2015) Mesoscopic simulation of heat transfer and fluid flow in laser powder bed additive manufacturing. In: 2015 International solid freeform fabrication symposium. University of Texas at Austin\nJamshidinia M, Kong F, Kovacevic R (2013) The coupled CFD-FEM model of electron beam melting® (EBM). https:\u002F\u002Fdoi.org\u002F10.13140\u002F2.1.4136.2245\nMarkl M (2015) Numerical modeling and simulation of selective electron beam melting using a coupled lattice Boltzmann and discrete element method. PhD thesis, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen\nZöller C, Adams NA, Adami S (2023) Numerical investigation of balling defects in laser-based powder bed fusion of metals with Inconel 718. Addit Manuf 73:103658. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.addma.2023.103658\nAfrasiabi M, Lüthi C, Bambach M, Wegener K (2021) Multi-resolution SPH simulation of a laser powder bed fusion additive manufacturing process. Appl Sci 11(7):2962\nBlender Online Community (2018) Blender—a 3D modelling and rendering package. Blender Foundation, Stichting Blender Foundation, Amsterdam. http:\u002F\u002Fwww.blender.org. Accessed Mar 2023\nZhang B, Liu S, Shin YC (2019) In-process monitoring of porosity during laser additive manufacturing process. Addit Manuf 28:497–505. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.addma.2019.05.030\nRenner J, Breuning C, Markl M, Körner C (2022) Surface topographies from electron optical images in electron beam powder bed fusion for process monitoring and control. Addit Manuf 60:103172. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.addma.2022.103172\nTaherkhani K, Sheydaeian E, Eischer C, Otto M, Toyserkani E (2021) Development of a defect-detection platform using photodiode signals collected from the melt pool of laser powder-bed fusion. Addit Manuf 46:102152. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.addma.2021.102152\nMarkl M, Ammer R, Rüde U, Körner C (2015) Numerical investigations on hatching process strategies for powder-bed-based additive manufacturing using an electron beam. Int J Adv Manuf Technol 78:239–247\nBreuning C, Markl M, Körner C (2023) A return time compensation scheme for complex geometries in electron beam powder bed fusion. Addit Manuf 76:103767\nCriales LE, Arısoy YM, Lane B, Moylan S, Donmez A, Özel T (2017) Predictive modeling and optimization of multi-track processing for laser powder bed fusion of nickel alloy 625. Addit Manuf 13:14–36\nWu C, Zafar MQ, Zhao H, Wang Y, Schöler C, Heinigk C, Nießen M, Schulz W (2021) Multi-physics modeling of side roughness generation mechanisms in powder bed fusion. Addit Manuf 47:102274\nSu X, Yang Y, Xiao D, Luo Z (2013) An investigation into direct fabrication of fine-structured components by selective laser melting. Int J Adv Manuf Technol 64(9):1231–1238\nSchwalbach EJ, Chapman MG, Groeber MA (2021) AFRL additive manufacturing modeling series: challenge 2, microscale process-to-structure data description. Integr Mater Manuf Innov 10(3):319–337\nFotovvati B, Chou K (2022) Multi-layer thermo-fluid modeling of powder bed fusion (PBF) process. J Manuf Process 83:203–211\nLaskowski R, Ahluwalia R, Hock GTW, Ying CS, Sun C-N, Wang P, Cheh DTC, Sharon NML, Vastola G, Zhang Y-W (2022) Concurrent modeling of porosity and microstructure in multilayer three-dimensional simulations of powder-bed fusion additive manufacturing of inconel 718. Addit Manuf 60:103266\nZakirov A, Levchenko V, Perepelkina A (2019) LRnLA lattice Boltzmann method: a performance comparison of implementations on GPU and CPU. Commun Comput Inf Sci 1063:139–151. https:\u002F\u002Fdoi.org\u002F10.1007\u002F978-3-030-28163-2_10 (Parallel Computational Technologies. PCT 2019)",{"EN":535},"The computer simulation of powder bed fusion (PBF) with an electron beam (EB) source at the mesoscale is relevant since the simulation output can be used to estimate solidified material properties and predict possible defects. A high-fidelity simulation with high resolution is computationally heavy, which is why 3D simulations of multilayered samples are rarely used in engineering tasks. We developed the simulation package for additive manufacturing (KiSSAM) that implements the known mathematical models in 3D on a GPU with high performance. KiSSAM includes an implementation of lattice Boltzmann method (LBM) optimized for a GPU; a dynamic mesh for the melt pool; an adaptive mesh for the heat solver; a GPU-powered ray tracer and Monte-Carlo scattering solver for beam absorption, and a high-performance DEM solver for powder particle deposition. All aspects of PBF are implemented with optimized algorithms, so the results of the simulation can be obtained in a few hours. In this paper, we demonstrate the applications of the software for PBF-EB simulation tasks.",{"EN":537},"KiSSAM: efficient simulation of melt pool dynamics during PBF using GPUs",{"VOID":539},"10.1007\u002Fs40964-023-00561-1","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs40964-023-00561-1",[542,557,569,582,594,606,618],{"id":543,"sortIndex":21,"researcher":20,"roles":544,"affiliations":545,"properties":554},"539c5b6b-613a-4060-b409-edea2b49a33c",[159],[546],{"id":20,"sortIndex":21,"affiliation":547,"properties":20},{"id":548,"createTime":549,"updateTime":549,"relativeEntities":550,"slug":20,"properties":551,"entityType":41,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"e0c0e920-2fa8-40bf-a7d2-f813ea500af4","2024-01-27T10:15:31.340+00:00",[],{"title":552},{"VI":553},"Kintech Lab Ltd, Moscow, Russia",{"title":555},{"VI":556},"Andrey Zakirov",{"id":558,"sortIndex":291,"researcher":20,"roles":559,"affiliations":560,"properties":566},"bec74213-0cac-4339-9dbb-cff3e150b08b",[159],[561],{"id":20,"sortIndex":21,"affiliation":562,"properties":20},{"id":548,"createTime":549,"updateTime":549,"relativeEntities":563,"slug":20,"properties":564,"entityType":41,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":565},{"VI":553},{"title":567},{"VI":568},"Anastasia Perepelkina",{"id":570,"sortIndex":571,"researcher":20,"roles":572,"affiliations":573,"properties":579},"9cefd671-df97-4a8d-9e00-1423d7a2a6f5",6,[159],[574],{"id":20,"sortIndex":21,"affiliation":575,"properties":20},{"id":548,"createTime":549,"updateTime":549,"relativeEntities":576,"slug":20,"properties":577,"entityType":41,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":578},{"VI":553},{"title":580},{"VI":581},"Boris Potapkin",{"id":583,"sortIndex":108,"researcher":20,"roles":584,"affiliations":585,"properties":591},"dae735cd-6da9-4f3e-ad8b-a1bd97bd4d51",[159],[586],{"id":20,"sortIndex":21,"affiliation":587,"properties":20},{"id":548,"createTime":549,"updateTime":549,"relativeEntities":588,"slug":20,"properties":589,"entityType":41,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":590},{"VI":553},{"title":592},{"VI":593},"Maria Bogdanova",{"id":595,"sortIndex":102,"researcher":20,"roles":596,"affiliations":597,"properties":603},"2d24e9a7-4fe5-45f8-8c3b-3d35845364ce",[159],[598],{"id":20,"sortIndex":21,"affiliation":599,"properties":20},{"id":548,"createTime":549,"updateTime":549,"relativeEntities":600,"slug":20,"properties":601,"entityType":41,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":602},{"VI":553},{"title":604},{"VI":605},"Sergei Belousov",{"id":607,"sortIndex":256,"researcher":20,"roles":608,"affiliations":609,"properties":615},"c2375003-efe0-401d-a03d-6988b0406fc1",[159],[610],{"id":20,"sortIndex":21,"affiliation":611,"properties":20},{"id":548,"createTime":549,"updateTime":549,"relativeEntities":612,"slug":20,"properties":613,"entityType":41,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":614},{"VI":553},{"title":616},{"VI":617},"Inna Iskandarova",{"id":619,"sortIndex":128,"researcher":20,"roles":620,"affiliations":621,"properties":627},"2c71568f-5c71-4903-be97-65521e067843",[159],[622],{"id":20,"sortIndex":21,"affiliation":623,"properties":20},{"id":548,"createTime":549,"updateTime":549,"relativeEntities":624,"slug":20,"properties":625,"entityType":41,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":626},{"VI":553},{"title":628},{"VI":629},"Boris Korneev",{"url":540,"publisher":631,"properties":659},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":632,"slug":10,"properties":633,"entityType":18,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"subjectFields":637,"manageAffiliations":638,"indexDatabases":639,"url":95,"thumbnailPath":20,"statistic":654,"gsStatistic":20,"type":135,"analyzePriority":20},[],{"issn":634,"eissn":635,"title":636},{"VOID":13},{"VOID":15},{"EN":17},[],[],[640,647],{"id":57,"indexDatabase":641,"url":72,"indexYears":20,"academicFieldIds":646,"indexDatabaseRanking":20},{"id":59,"createTime":60,"updateTime":61,"relativeEntities":642,"label":643,"description":644,"key":68,"publicationTags":645,"standard":20},[],{"EN":64,"VI":64},{"VI":66,"EN":67},[70,71],[74,75],{"id":77,"indexDatabase":648,"url":90,"indexYears":91,"academicFieldIds":653,"indexDatabaseRanking":94},{"id":79,"createTime":80,"updateTime":81,"relativeEntities":649,"label":650,"description":651,"key":87,"publicationTags":652,"standard":20},[],{"EN":84,"VI":84},{"EN":84,"VI":86},[89],[93],{"impactFactor":21,"impactFactorByYear":655,"i10Index":104,"i10IndexLast5Year":105,"totalPublication":106,"totalPublicationByYear":656,"totalCitation":116,"totalCitationByYear":657,"totalCitationPerPublication":125,"totalCitationPerPublicationByYear":658,"hindexLast5Year":134,"hindex":134},{"2018":98,"2019":99,"2020":100,"2021":101,"2022":102,"2023":103},{"2015":108,"2016":109,"2017":110,"2018":104,"2019":104,"2020":111,"2021":112,"2022":113,"2023":114,"2024":115},{"2017":118,"2018":119,"2019":120,"2020":121,"2021":122,"2022":123,"2023":124},{"2017":127,"2018":128,"2019":129,"2020":130,"2021":131,"2022":132,"2023":133},{"pages":660},{"VOID":661},"1-18","2024-02-14",2024,{"id":665,"createTime":666,"updateTime":667,"relativeEntities":668,"slug":669,"properties":670,"entityType":151,"verifyStatus":152,"verifyTime":667,"verifyNote":153,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"primaryUrl":679,"fullTextUrl":20,"authors":680,"publicationType":174,"publisherRelationship":791,"citationCount":20,"citationInfo":20,"publishDate":825,"publishYear":826,"citationAnalyzeStatus":19,"lastCitationAnalyze":20,"indexDatabases":20,"openAccess":20,"references":20,"isForceReanalyzing":211},"61dea341-174b-4830-975d-034f85a36162","2023-12-26T05:38:12.994+00:00","2025-01-07T23:43:09.807+00:00",[],"3D-printed-clay-based-ceramic-water-filters-for-point-of-use-water-treatment-applications",{"references":671,"abstract":673,"title":675,"doi":677},{"VOID":672},"Bain R, Cronk R, Hossain R et al (2014) Global assessment of exposure to faecal contamination through drinking water based on a systematic review. Trop Med Int Heal 19:917–927. https:\u002F\u002Fdoi.org\u002F10.1111\u002Ftmi.12334\nWolf J, Prüss-Ustün A, Cumming O et al (2014) Systematic review: assessing the impact of drinking water and sanitation on diarrhoeal disease in low- and middle-income settings: systematic review and meta-regression. Trop Med Int Heal 19:928–942. https:\u002F\u002Fdoi.org\u002F10.1111\u002Ftmi.12331\nSorenson SB, Morssink C, Campos PA (2011) Safe access to safe water in low income countries: water fetching in current times. Soc Sci Med 72:1522–1526. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.socscimed.2011.03.010\nvan der Laan H, van Halem D, Smeets PWMH et al (2014) Bacteria and virus removal effectiveness of ceramic pot filters with different silver applications in a long term experiment. Water Res 51:47–54. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.watres.2013.11.010\nPérez-Vidal A, Diaz-Gomez J, Castellanos-Rozo J, Usaquen-Perilla OL (2016) Long-term evaluation of the performance of four point-of-use water filters. Water Res 98:176–182. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.watres.2016.04.016\nKallman EN, Oyanedel-Craver VA, Smith JA (2011) Ceramic filters impregnated with silver nanoparticles for point-of-use water treatment in rural Guatemala. J Environ Eng 137:407–415\nOyanedel-Craver V, Narkiewicz S, Genovesi R et al (2014) Effect of local materials on the silver sorption and strength of ceramic water filters. J Environ Chem Eng 2:841–848. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jece.2014.02.002\nMuzerengi C, Mhlongo SE, Mukwevho GF (2013) Characterization of clays for making ceramic pots and water filters at Mukondeni village, Limpopo province, South Africa. J Eng Appl Sci 8:927–932\nTCMWG (2011) Best practice recommendations for local manufacturing of ceramic pot filters for household water treatment. Première E, Atlanta\nJohnson RC, Boni G, Degbey C et al (2015) Assessment of the potential contribution of the ceramic filter “Songhai” in the treatment of drinking water in Benin (West Africa). J Water Resour Prot 7:702–706\nHo CMB, Ng SH, Li KHH, Yoon Y-J (2015) 3D printed microfluidics for biological applications. Lab Chip. https:\u002F\u002Fdoi.org\u002F10.1039\u002FC5LC00685F\nChan HN, Tan MJA, Wu H (2017) Point-of-care testing: applications of 3D printing. Lab Chip 17:2713–2739\nHe Z, Singh TSSG (2018) Inkjet 3D printing of clay ceramics for water treatment. Prog Addit Manuf. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs40964-018-0055-1\nWithell A, Diegel O, Grupp I, Reay S (2012) Porous ceramic filters through 3D printing. In: Innovative developments in virtual and physical prototyping, pp 313–318. https:\u002F\u002Fdoi.org\u002F10.1201\u002Fb11341-50\nHwa LC, Rajoo S, Noor AM et al (2017) Recent advances in 3D printing of porous ceramics: a review. Curr Opin Solid State Mater Sci. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.cossms.2017.08.002\nAkowanou AVO, Aina MP, Mahunon SER, Yao BK (2017) Characterization of clays from the “Sè” region in the South of Benin used to make ceramic water filters. Am J Appl Chem 5:90. https:\u002F\u002Fdoi.org\u002F10.11648\u002Fj.ajac.20170506.11\nŞan O, Özgür C (2007) Fabrication of glassy ceramic membrane filters for filtration of spring water with clogging phenomena. J Membr Sci 305:169–175. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.memsci.2007.08.001\nLin CF, Yu-Chen Lin A, Sri Chandana P, Tsai CY (2009) Effects of mass retention of dissolved organic matter and membrane pore size on membrane fouling and flux decline. Water Res 43:389–394. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.watres.2008.10.042\nPeiris RH, Hallé C, Budman H et al (2010) Identifying fouling events in a membrane-based drinking water treatment process using principal component analysis of fluorescence excitation-emission matrices. Water Res 44:185–194. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.watres.2009.09.036\nHofs B, Ogier J, Vries D et al (2011) Comparison of ceramic and polymeric membrane permeability and fouling using surface water. Sep Purif Technol 79:365–374. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.seppur.2011.03.025\nBrown J, Sobsey MD (2010) Microbiological effectiveness of locally produced ceramic filters for drinking water treatment in Cambodia. J Water Health 8:1–10. https:\u002F\u002Fdoi.org\u002F10.2166\u002Fwh.2009.007\nBrown J, Chai R, Wang A, Sobsey MD (2012) Microbiological effectiveness of mineral pot filters in Cambodia. Environ Sci Technol 46:12055–12061\nLantagne D, Clasen T (2013) Effective use of household water treatment and safe storage in response to the 2010 Haiti earthquake. Am J Trop Med Hyg 89:426–433. https:\u002F\u002Fdoi.org\u002F10.4269\u002Fajtmh.13-0179",{"EN":674},"Water is necessary for the survival of all living beings, essential for health and should be a fundamental right for every human being. Thus, to provide enough water with good quality to populations, researchers are currently focusing on the development of innovative processes, such as ceramic water filters, that are easy to operate and inexpensive. The objective is to allow access to sufficient quality water at the point of use. To this end, one of the innovative techniques that has been applied in various fields of science is three-dimensional (3D) printing. In the present work, a 3D printer, Ultimaker 1, initially intended for plastic-based printing, was adapted for use in the manufacture of ceramic filters. These filters can find applications in water treatment for consumption at the point of use. Our study shows that this innovative concept could become a viable alternative in the near future for supplying a sufficient quantity of good-quality drinking water in developing countries.",{"EN":676},"3D-printed clay-based ceramic water filters for point-of-use water treatment 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IEEE. \n                    https:\u002F\u002Fdoi.org\u002F10.1109\u002FROBOT.1998.676386",{"doi":1024},"10.1109\u002FROBOT.1998.676386",{"id":20,"text":1026,"url":20,"identifiers":1027},"Holzmond O, Li X (2017) In situ real time defect detection of 3D printed parts. Addit Manuf 17:135–142. \n                    https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.addma.2017.08.003",{"doi":1028},"10.1016\u002Fj.addma.2017.08.003",{"id":20,"text":998,"url":20,"identifiers":1030},{"doi":1000},{"id":20,"text":1032,"url":20,"identifiers":1033},"Nuchitprasitchai S, Roggemann MC, Pearce JM (2017) Three hundred and sixty degree real-time monitoring of 3-D printing using computer analysis of two camera views. J Manuf Mater Process 1(1):2. \n                    https:\u002F\u002Fdoi.org\u002F10.3390\u002Fjmmp1010002",{"doi":1034},"10.3390\u002Fjmmp1010002",{"id":20,"text":1036,"url":20,"identifiers":1037},"Lu L, Zheng J, Mishra S (2015) A layer-to-layer model and feedback control of ink-jet 3-d printing. IEEE\u002FASME Trans Mechatron 20(3):1056–1068. \n                    https:\u002F\u002Fdoi.org\u002F10.1109\u002FTMECH.2014.2366123",{"doi":1038},"10.1109\u002FTMECH.2014.2366123",{"id":20,"text":1040,"url":20,"identifiers":1041},"Cohen DL, Lipson H (2010) Geometric feedback control of discrete-deposition SFF systems. Rapid Prototyp J 16(5):377–393. \n                    https:\u002F\u002Fdoi.org\u002F10.1108\u002F13552541011065777",{"doi":1042},"10.1108\u002F13552541011065777",{"id":20,"text":1044,"url":20,"identifiers":1045},"Faes M, Abbeloos W, Vogeler F, Valkenaers H, Coppens K, Goedeme T, Ferraris E (2014) Process monitoring of extrusion based 3D printing via laser scanning. In: International conference on polymers and moulds innovations (PMI) 2014 conference proceedings, vol 6, pp 363–367",{},{"id":20,"text":1047,"url":20,"identifiers":1048},"Rao PK, Liu JP, Roberson D, Kong ZJ, Williams C (2015) Online real-time quality monitoring in additive manufacturing processes using heterogeneous sensors. J Manuf Sci Eng 137(6):061007. \n                    https:\u002F\u002Fdoi.org\u002F10.1115\u002F1.4029823",{"doi":1049},"10.1115\u002F1.4029823",{"id":20,"text":1051,"url":20,"identifiers":1052},"Sun H, Rao PK, Kong ZJ, Deng X, Jin R (2018) Functional quantitative and qualitative models for quality modeling in a fused deposition modeling process. IEEE Trans Autom Sci Eng 15(1):393–403. \n                    https:\u002F\u002Fdoi.org\u002F10.1109\u002FTASE.2017.2763609",{"doi":1053},"10.1109\u002FTASE.2017.2763609",{"id":20,"text":1055,"url":20,"identifiers":1056},"Wu H, Wang Y, Yu Z (2016) In situ monitoring of FDM machine condition via acoustic emission. Int J Adv Manuf Technol 84(5–8):1483–1495. \n                    https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs00170-015-7809-4",{"doi":1057},"10.1007\u002Fs00170-015-7809-4",{"id":20,"text":1059,"url":20,"identifiers":1060},"Yang Z, Jin L, Yan Y, Mei Y (2018) Filament breakage monitoring in fused deposition modeling using acoustic emission technique. Sensors 18(3):749. \n                    https:\u002F\u002Fdoi.org\u002F10.3390\u002Fs18030749",{"doi":1061},"10.3390\u002Fs18030749",{"id":20,"text":1063,"url":20,"identifiers":1064},"Baumann F, Schön M, Eichhoff J, Roller D (2016) Concept development of a sensor array for 3D printer. Procedia CIRP 51:24–31. \n                    https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.procir.2016.05.041",{"doi":1065},"10.1016\u002Fj.procir.2016.05.041",{"id":20,"text":1067,"url":20,"identifiers":1068},"Bukkapatnam S, Clark B (2007) Dynamic modeling and monitoring of contour crafting—an extrusion-based layered manufacturing process. J Manuf Sci Eng 129(1):135–142. \n                    https:\u002F\u002Fdoi.org\u002F10.1115\u002F1.2375137",{"doi":1069},"10.1115\u002F1.2375137",{"id":20,"text":1071,"url":20,"identifiers":1072},"Turner BN, Strong RA, Gold S (2014) A review of melt extrusion additive manufacturing processes: I. Process design and modeling. Rapid Prototyp J 20(3):192–204. \n                    https:\u002F\u002Fdoi.org\u002F10.1108\u002FRPJ-01-2013-0012",{"doi":1073},"10.1108\u002FRPJ-01-2013-0012",{"id":20,"text":1075,"url":20,"identifiers":1076},"Tlegenov Y, Wong YS, Hong GS (2017) A dynamic model for nozzle clog monitoring in fused deposition modelling. Rapid Prototyp J 23(2):391–400. \n                    https:\u002F\u002Fdoi.org\u002F10.1108\u002FRPJ-04-2016-0054",{"doi":1077},"10.1108\u002FRPJ-04-2016-0054",{"id":20,"text":1079,"url":20,"identifiers":1080},"Tlegenov Y, Hong GS, Lu WF (2018) Nozzle condition monitoring in 3D printing. Robot Comput Integr Manuf 54:45–55. \n                    https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.rcim.2018.05.010",{"doi":1081},"10.1016\u002Fj.rcim.2018.05.010",{"id":20,"text":1083,"url":20,"identifiers":1084},"Tlegenov Y (2018) Model-based monitoring of nozzle clogging in fused deposition modelling process. Doctoral dissertation. National University of Singapore. Retrieved from \n                    https:\u002F\u002Fscholarbank.nus.edu.sg\u002Fhandle\u002F10635\u002F148549",{},{"id":20,"text":1086,"url":20,"identifiers":1087},"Greeff G, Schilling M (2017) Closed loop control of slippage during filament transport in molten material extrusion. Additive Manufacturing 14:31–38. \n                    https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.addma.2016.12.005",{"doi":1088},"10.1016\u002Fj.addma.2016.12.005",{"id":1090,"createTime":1091,"updateTime":1092,"relativeEntities":1093,"slug":1094,"properties":1095,"entityType":151,"verifyStatus":152,"verifyTime":1092,"verifyNote":153,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"primaryUrl":1104,"fullTextUrl":20,"authors":1105,"publicationType":174,"publisherRelationship":1181,"citationCount":20,"citationInfo":20,"publishDate":1215,"publishYear":1216,"citationAnalyzeStatus":19,"lastCitationAnalyze":20,"indexDatabases":20,"openAccess":20,"references":20,"isForceReanalyzing":211},"9dd5c642-62aa-4b0b-9328-1f87b2af789a","2024-02-06T04:04:03.326+00:00","2024-12-31T23:41:29.397+00:00",[],"Development-of-a-production-approach-to-build-a-titanium-flaperon-rib-by-directed-energy-deposition",{"references":1096,"abstract":1098,"title":1100,"doi":1102},{"VOID":1097},"Blakey-Milner B et al (2021) Metal additive manufacturing in aerospace: a review. Mater Des 209:110008. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.matdes.2021.110008\nWang J et al (2022) Effects of scanning strategies on residual stress and deformation by high-power direct energy deposition: Island size and laser jump strategy between islands. J Manuf Process 75:23–40. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jmapro.2021.12.054\nGebler M, Uiterkamp AJMS, Visser C (2014) A global sustainability perspective on 3D printing technologies. Energy Policy 74:158–167. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.enpol.2014.08.033\nShamsaei N, Yadollahi A, Bian L, Thompson SM (2015) An overview of direct laser deposition for additive manufacturing; part II: Mechanical behavior, process parameter optimization and control. Addit Manuf 8:12–35. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.addma.2015.07.002\nLiu Z, He B, Lyu T, Zou Y (2021) A review on additive manufacturing of titanium alloys for aerospace applications: directed energy deposition and beyond Ti-6Al-4V. JOM 73(6):1804–1818. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs11837-021-04670-6\nClark D, Whittaker MT, Bache MR (2011) Microstructural characterization of a prototype titanium alloy structure processed via direct laser deposition (DLD). Metall Mater Trans B 43:388–396\nSaboori A, Gallo D, Biamino S, Fino P, Lombardi M (2017) An overview of additive manufacturing of titanium components by directed energy deposition: microstructure and mechanical properties. Appl Sci 7:9. https:\u002F\u002Fdoi.org\u002F10.3390\u002Fapp7090883\nASTM International, “F3413–2019 Guide for Additive Manufacturing - Design - Directed Energy Deposition. 2019.",{"EN":1099},"Laser powder-directed energy deposition (LP-DED) is gaining interest in the production of complex large parts at a high production rate compared to conventional machining. Typically, these products are milled out of solid blocks. The aim of this work is to show the whole production chain to manufacture a titanium flaperon rib starting from the process optimisation to production and post-processing of the part itself. First, the process parameters for thin and bulky structures were optimised in LP-DED. Then different characteristic design features of the rib were defined and the manufacturing strategies were optimised. Lastly, all optimised strategies were applied for the production of the full-scale flaperon ribs. In this work, several design guidelines and optimum process conditions were obtained for Ti6Al4V processed by LP-DED. On one hand, the process parameters for thin walls and solid features were obtained. In addition, intersections and overhang structures were studied to achieve stable and high-quality connections. On the other hand, different strategies for reducing the deformations were studied and minimum deformations were obtained for large slender build plates. All developed strategies were implemented to successfully produce a large-sized flaperon rib in Ti6Al4V by powder LP-DED.",{"EN":1101},"Development of a production approach to build a titanium flaperon rib by directed energy deposition",{"VOID":1103},"10.1007\u002Fs40964-022-00389-1","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs40964-022-00389-1",[1106,1121,1133,1145,1157,1169],{"id":1107,"sortIndex":256,"researcher":20,"roles":1108,"affiliations":1109,"properties":1118},"a70a5acb-96df-428b-b7db-a19ea01c735d",[159],[1110],{"id":20,"sortIndex":21,"affiliation":1111,"properties":20},{"id":1112,"createTime":1113,"updateTime":1113,"relativeEntities":1114,"slug":20,"properties":1115,"entityType":41,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"ea045535-9e16-45cf-bbdb-99d159217d32","2024-02-06T04:04:03.374+00:00",[],{"title":1116},{"VI":1117},"Royal NLR-Netherlands Aerospace Centre, Marknesse, The Netherlands",{"title":1119},{"VI":1120},"Marc de Smit",{"id":1122,"sortIndex":291,"researcher":20,"roles":1123,"affiliations":1124,"properties":1130},"ba66eae5-ee60-476a-a12c-f96b2bf32d9c",[159],[1125],{"id":20,"sortIndex":21,"affiliation":1126,"properties":20},{"id":1112,"createTime":1113,"updateTime":1113,"relativeEntities":1127,"slug":20,"properties":1128,"entityType":41,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":1129},{"VI":1117},{"title":1131},{"VI":1132},"Peter Nijhuis",{"id":1134,"sortIndex":21,"researcher":20,"roles":1135,"affiliations":1136,"properties":1142},"884b99d1-638d-4219-a6f2-1fe8852ce9de",[159],[1137],{"id":20,"sortIndex":21,"affiliation":1138,"properties":20},{"id":1112,"createTime":1113,"updateTime":1113,"relativeEntities":1139,"slug":20,"properties":1140,"entityType":41,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":1141},{"VI":1117},{"title":1143},{"VI":1144},"Maria L. Montero-Sistiaga",{"id":1146,"sortIndex":102,"researcher":20,"roles":1147,"affiliations":1148,"properties":1154},"4cbb8c0a-65b6-482b-aa66-3c5d19283cdd",[159],[1149],{"id":20,"sortIndex":21,"affiliation":1150,"properties":20},{"id":1112,"createTime":1113,"updateTime":1113,"relativeEntities":1151,"slug":20,"properties":1152,"entityType":41,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":1153},{"VI":1117},{"title":1155},{"VI":1156},"Ralph Haagsma",{"id":1158,"sortIndex":108,"researcher":20,"roles":1159,"affiliations":1160,"properties":1166},"3b3531a0-1292-43e3-a844-a68f100913d1",[159],[1161],{"id":20,"sortIndex":21,"affiliation":1162,"properties":20},{"id":1112,"createTime":1113,"updateTime":1113,"relativeEntities":1163,"slug":20,"properties":1164,"entityType":41,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":1165},{"VI":1117},{"title":1167},{"VI":1168},"Timo Osinga",{"id":1170,"sortIndex":128,"researcher":20,"roles":1171,"affiliations":1172,"properties":1178},"7a2cdde0-ab3b-41e6-9568-5a8d59071927",[159],[1173],{"id":20,"sortIndex":21,"affiliation":1174,"properties":20},{"id":1112,"createTime":1113,"updateTime":1113,"relativeEntities":1175,"slug":20,"properties":1176,"entityType":41,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},[],{"title":1177},{"VI":1117},{"title":1179},{"VI":1180},"Unai San Martin",{"url":1104,"publisher":1182,"properties":1210},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":1183,"slug":10,"properties":1184,"entityType":18,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"subjectFields":1188,"manageAffiliations":1189,"indexDatabases":1190,"url":95,"thumbnailPath":20,"statistic":1205,"gsStatistic":20,"type":135,"analyzePriority":20},[],{"issn":1185,"eissn":1186,"title":1187},{"VOID":13},{"VOID":15},{"EN":17},[],[],[1191,1198],{"id":57,"indexDatabase":1192,"url":72,"indexYears":20,"academicFieldIds":1197,"indexDatabaseRanking":20},{"id":59,"createTime":60,"updateTime":61,"relativeEntities":1193,"label":1194,"description":1195,"key":68,"publicationTags":1196,"standard":20},[],{"EN":64,"VI":64},{"VI":66,"EN":67},[70,71],[74,75],{"id":77,"indexDatabase":1199,"url":90,"indexYears":91,"academicFieldIds":1204,"indexDatabaseRanking":94},{"id":79,"createTime":80,"updateTime":81,"relativeEntities":1200,"label":1201,"description":1202,"key":87,"publicationTags":1203,"standard":20},[],{"EN":84,"VI":84},{"EN":84,"VI":86},[89],[93],{"impactFactor":21,"impactFactorByYear":1206,"i10Index":104,"i10IndexLast5Year":105,"totalPublication":106,"totalPublicationByYear":1207,"totalCitation":116,"totalCitationByYear":1208,"totalCitationPerPublication":125,"totalCitationPerPublicationByYear":1209,"hindexLast5Year":134,"hindex":134},{"2018":98,"2019":99,"2020":100,"2021":101,"2022":102,"2023":103},{"2015":108,"2016":109,"2017":110,"2018":104,"2019":104,"2020":111,"2021":112,"2022":113,"2023":114,"2024":115},{"2017":118,"2018":119,"2019":120,"2020":121,"2021":122,"2022":123,"2023":124},{"2017":127,"2018":128,"2019":129,"2020":130,"2021":131,"2022":132,"2023":133},{"volume":1211,"pages":1213},{"VOID":1212},"8",{"VOID":1214},"61-66","2023-01-11",2023,{"id":1218,"createTime":1219,"updateTime":1220,"relativeEntities":1221,"slug":1222,"properties":1223,"entityType":151,"verifyStatus":152,"verifyTime":1220,"verifyNote":153,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"primaryUrl":1232,"fullTextUrl":20,"authors":1233,"publicationType":174,"publisherRelationship":1319,"citationCount":20,"citationInfo":20,"publishDate":1351,"publishYear":1216,"citationAnalyzeStatus":19,"lastCitationAnalyze":20,"indexDatabases":20,"openAccess":20,"references":20,"isForceReanalyzing":211},"3a8db603-d3cf-4cc7-b493-a4607dba622a","2024-01-12T23:56:37.243+00:00","2025-02-25T23:33:01.714+00:00",[],"Hybrid-manufacturing-of-steel-construction-parts-via-arc-welding-of-LPBF-produced-and-hot-rolled-stainless-steels",{"references":1224,"abstract":1226,"title":1228,"doi":1230},{"VOID":1225},"Bernuzzi C, Cordova B (2016) Structural steel design to Eurocode 3 and AISC specifications. Wiley, Hoboken\nDebRoy T et al (2019) Scientific, technological and economic issues in metal printing and their solutions. Nat Mater 18(10):1026–1032\nDebroy T et al (2018) Additive manufacturing of metallic components—process, structure and properties. Prog Mater Sci 92:112–224\nHerzog D, Seyda V, Wycisk E, Emmelmann C (2016) Additive manufacturing of metals. Acta Mater 117:371–392\nDelgado Camacho D et al (2018) Applications of additive manufacturing in the construction industry—a forward-looking review. Autom Constr 89:110–119\nBuchanan C, Gardner L (2019) Metal 3D printing in construction: a review of methods, research, applications, opportunities and challenges. Eng Struct 180:332–348\nRibeiro TP, Bernardo LFA, Andrade JMA (2021) Topology optimisation in structural steel design for additive manufacturing. Appl Sci 11(5):2112\nChierici M, Berto F, Kanyilmaz A (2021) Resource-efficient joint fabrication by welding metal 3D-printed parts to conventional steel: a structural integrity study. Fatigue Fract Eng Mater Struct 44:1271–1291\nKanyilmaz A et al (2021) Role of metal 3D printing to increase quality and resource-efficiency in the construction sector. Addit Manuf 50:102541\ndu Plessis A et al (2019) Beautiful and functional: a review of biomimetic design in additive manufacturing. Addit Manuf 27:408–427\nKaethner SC, Burridge JA (2012) Embodied CO2 of structural frames. Struct Eng 90(5):33–40\nPeng T, Kellens K, Tang R, Chen C, Chen G (2018) Sustainability of additive manufacturing: an overview on its energy demand and environmental impact. Addit Manuf 21:694–704\nKanyilmaz A, Berto F, Paoletti I, Caringal RJ, Mora S (2020) Nature-inspired optimization of tubular joints for metal 3D printing. Struct Multidiscip Optim 63:767–787\nChierici M, Berto F, Kanyilmaz A, Castiglioni CA (2022) Life cycle inventory analysis for resource-efficient structural steel nodes: metal 3D printing or traditional manufacturing?, In: Structures and Architecture A Viable Urban Perspective?\", 1st edition, CRC Press, ISBN: 9781003023555\nMoynihan MC, Allwood JM (2014) Utilization of structural steel in buildings. Proc R Soc A Math Phys Eng Sci 470:20140170\nEuropean Committee for Standardization (2011) EN 1090-1 (2009) execution of steel structures and aluminium structures—part 1: requirements for conformity assessment of structural components\nEuropean Committee for Standardization (2018) EN 1090-2 (2019) execution of steel structures and aluminium structures—part 2: technical requirements for steel structures\nEuropean Committee for Standardization (2005) EN 1993-1-1 (2005) Eurocode 3: design of steel structures—part 1-1: general rules and rules for buildings, pp 1–91\nEuropean Committee for Standardization (2006) EN 1993-1-4 (2006): Eurocode 3: design of steel structures—part 1–4: general rules—supplementary rules for stainless steel, pp 1–35\nEuropean Committee for Standardization (2005) EN 1993-1-8 (2005)—Eurocode 3: design of steel structures—part 1–8: design of joints, pp 1–134\nBuchanan C, Matilainen V-P, Salminen A, Gardner L (2017) Structural performance of additive manufactured metallic material and cross-sections. J Constr Steel Res 136:35–48\nYakout M, Elbestawi MA, Veldhuis SC (2019) Density and mechanical properties in selective laser melting of Invar 36 and stainless steel 316L. J Mater Process Technol 266:397–420\nCasati R, Lemke J, Vedani M (2016) Microstructure and fracture behavior of 316L austenitic stainless steel produced by selective laser melting. J Mater Sci Technol 32(8):738–744\nTolosa I, Garciandía F, Zubiri F, Zapirain F, Esnaola A (2010) Study of mechanical properties of AISI 316 stainless steel processed by ‘selective laser melting’, following different manufacturing strategies. Int J Adv Manuf Technol 51:639–647\nHitzler L, Hirsch J, Heine B, Merkel M, Hall W, Öchsner A (2017) On the anisotropic mechanical properties of selective laser-melted stainless steel. Materials (Basel) 10(10):1136\nShrestha R, Simsiriwong J, Shamsaei N (2019) Fatigue behavior of additive manufactured 316L stainless steel parts: effects of layer orientation and surface roughness. Addit Manuf 28:23–38\nCharmi A et al (2021) Mechanical anisotropy of additively manufactured stainless steel 316L: an experimental and numerical study. Mater Sci Eng A 799:140154\nWang D, Mai S, Xiao D, Yang Y (2016) Surface quality of the curved overhanging structure manufactured from 316-L stainless steel by SLM. Int J Adv Manuf Technol 86(1–4):781–792\nZuback JS, DebRoy T (2018) The hardness of additively manufactured alloys. Mater (Basel) 11(11):2070\nLaitinen V (2015) Weldability of powder bed fusion fabricated stainless steel 316L sheets to cold rolled sheet metal. Master’s thesis, pp 1–73\nZhang R et al (2021) Mechanical properties and microstructure of additively manufactured stainless steel with laser welded joints. Mater Des 208:109921\nMohyla P et al (2020) Analysis of welded joint properties on an AISI316L stainless steel tube manufactured by SLM technology. Materials (Basel) 13(19):4362\nPrevitali B, Demir AG, Bucconi M, Crosato A, Penasa M (2017) Comparative costs of additive manufacturing vs. machining: the case study of the production of forming dies for tube bending. Solid Free Fabr Symp, pp 2816–2834\nMerklein M, Schulte R, Papke T (2021) An innovative process combination of additive manufacturing and sheet bulk metal forming for manufacturing a functional hybrid part. J Mater Process Technol 291(July 2020):117032\nPasang T et al (2019) Microstructure and mechanical properties of welded additively manufactured stainless steels SS316L. Met Mater Int 25(5):1278–1286\nResearch and Markets (2020) Global Additive Manufacturing Market and Technology Forecast to 2028, pages 1–274, ID: 5144559, https:\u002F\u002Fwww.researchandmarkets.com\u002Freports\u002F5144559\u002Fglobal-additive-manufacturing-market-and#src-pos-1\nASTM International (2016) ASTM F3184-16. Standard specification for additive manufacturing stainless steel alloy (UNS S31603) with powder bed fusion. pp 1–9, ICS Code: 25.030. https:\u002F\u002Fdoi.org\u002F10.1520\u002FF3184-16\nDemir AG, Colombo P, Previtali B (2017) From pulsed to continuous wave emission in SLM with contemporary fiber laser sources: effect of temporal and spatial pulse overlap in part quality. Int J Adv Manuf Technol 91:2701–271\nDemir AG, Previtali B (2017) Investigation of remelting and preheating in SLM of 18Ni300 maraging steel as corrective and preventive measures for porosity reduction. Int J Adv Manuf Technol 93:2697–2709\nEuropean Committee for Standardization (2000) BS EN 1011-3 (2000)—welding. Recommendations for welding of metallic materials. Arc welding of stainless steels\nEuropean Committee for Standardization (2016) EN ISO 17637 (2016) non-destructive testing of welds. Visual testing of fusion-welded joints\nEuropean Committee for Standardization (2019) EN ISO 3183 (2019) petroleum and natural gas industries. Steel pipe for pipeline transportation systems\nEuropean Committee for Standardization (2018) EN ISO 6507‑1 (2018) standards publication metallic materials—Vickers hardness test\nMorozov EV, Vasiliev VV (2003) Determination of the shear modulus of orthotropic materials from off-axis tension tests. Compos Struct 62:379–382\nEuropean Committee for Standardization (2014) EN 10088 (2014)—stainless steels—part 2: technical delivery conditions for sheet\u002Fplate and strip of corrosion resisting steels for general purposes, no. December 2014, pp 1–58\nRepossini G, Laguzza V, Grasso M, Colosimo BM (2017) On the use of spatter signature for in-situ monitoring of Laser Powder Bed Fusion. Addit Manuf 16:35–48\nVasileska E, Demir AG, Colosimo BM, Previtali B (2022) A novel paradigm for feedback control in LPBF: layer-wise correction for overhang structures. Adv Manuf 10(2):326–344\nRonneberg T, Davies CM, Hooper PA (2020) Revealing relationships between porosity, microstructure and mechanical properties of laser powder bed fusion 316L stainless steel through heat treatment. Mater Des 189:108481\n(2000) Mechanical testing and evaluation. In: ASM handbook, vol 8, pp 1–959\nTabor D (1951) The hardness of metals. Oxford University Press\nOfficial Journal of the European Union (2011) Regulation (EU) No 305\u002F2011 of the European Parliament and of the Council of 9th March 2011 laying down the harmonised conditions for the marketing of construction products and repealing Council Directive 89\u002F106\u002FEEC\nEuropean Committee for Standardization (2006) BS EN 10021 (2006) General technical delivery conditions for steel products\nScarpellini A, Schito P, Demir AG (2023) Feasibility of using bio-mimicking fish scale textures in LPBF for water drag-reducing surfaces. Prog Addit Manuf. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs40964-023-00394-y\nInternational Organization for Standardization (2006) EN 1993-1-4 (2006): Eurocode 3: design of steel structures—part 1–4: general rules—supplementary rules for stainless steel, pp 1–35\nEuropean Committee for Standardization (2006) EN 1993-1-5 (2006) Eurocode 3—design of steel structures—part 1–5: plated structural elements\nEuropean Committee for Standardization (2020) BS EN ISO 10113 (2015) metallic materials—sheet and strip—determination of plastic strain ratio\nHill R (1948) A theory of the yielding and plastic flow of anisotropic metals. Proc R Soc Lond 193:281–297",{"EN":1227},"The demand for free-form steel structures having improved performances, reducing labour and resource usage is increasing in the construction sector. Structural nodes are some of the most critical regions for steel structures characterised often by large dimensions. These nodes can exploit the geometrical freedom of metal additive manufacturing (MAM) processes. Laser powder bed fusion (LPBF) is arguably the most developed MAM process, which has limitations regarding the size of the parts to be produced. A way to overcome the size limits of LPBF for producing structural nodes while still exploiting its geometrical capacity is producing hybrid components by welding them to traditionally manufactured beams. Such hybrid joints would constitute a complex system from a mechanical design perspective requiring a systematic analysis in order to be certified for structural use. Accordingly, this work studies the mechanical behaviour of hybrid steel components generated by welding LPBF plates and quarto plates made of AISI 316L stainless steel. The work was guided by a case study based on a large steel node, which helped defining the requirements to fill the gap of the international standards. The mechanical characterisation of LPBF-produced plates and quarto plates, as well as the welded hybrid components revealed a maximum of 10% difference between the properties of the differently manufactured plates. Through the digital image correlation (DIC) analyses, the anisotropic deformation behaviour along the LPBF, weld seam, and quarto plate regions have been identified, and the properties after welding did not show relevant modifications. The tests allowed to define that the failure behaviour is mainly governed by interlayer bounds, and a 0.9 safety reduction parameter for considering the reduction of ductility induced by arc welding to LPBF. Finally, design and production suggestions have been provided for a correct evaluation of gross and effective sections of the designed nodes.",{"EN":1229},"Hybrid manufacturing of steel construction parts via arc welding of LPBF-produced and hot-rolled stainless 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Previtali",{"id":1252,"sortIndex":108,"researcher":20,"roles":1253,"affiliations":1254,"properties":1265},"3ac3f95b-6d81-44b8-9a46-0eb3f42c40d5",[159],[1255],{"id":20,"sortIndex":21,"affiliation":1256,"properties":20},{"id":1257,"createTime":1258,"updateTime":1259,"relativeEntities":1260,"slug":1261,"properties":1262,"entityType":41,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"01f32ea7-ea7c-47f9-a586-6f9e99561bd7","2024-02-02T04:13:20.333+00:00","2025-06-11T15:23:01.683+00:00",[],"Department-of-Architecture-Built-Environment-and-Construction-Engineering-Politecnico-di-Milano-Milan-Italy",{"title":1263},{"VI":1264},"Department of Architecture, Built Environment and Construction Engineering, Politecnico di Milano, Milan, Italy",{"title":1266},{"VI":1267},"Alper 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improved dielectric, mechanical, and thermal properties of additive manufactured parts via filament modification using OMMT-based nanocomposite",{"VOID":1368},"10.1007\u002Fs40964-017-0031-1",[382],"http:\u002F\u002Flink.springer.com\u002F10.1007\u002Fs40964-017-0031-1",[1372,1393],{"id":1373,"sortIndex":102,"researcher":20,"roles":1374,"affiliations":1375,"properties":1386},"6267a49c-a1f5-48d7-a23f-81131244c09f",[],[1376],{"id":1377,"sortIndex":21,"affiliation":1378,"properties":20},"467565a5-8d95-452e-9533-18662555a500",{"id":1379,"createTime":1380,"updateTime":1380,"relativeEntities":1381,"slug":1382,"properties":1383,"entityType":41,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"5ff2b372-db02-45d9-995b-5aec42d7d8d5","2024-04-17T21:34:03.854+00:00",[],"Mechanical-Engineering-Discipline-PDPM-Indian-Institute-of-Information-Technology-Design-and-Manufacturing-Jabalpur-Jabalpur-Madhya-Pradesh-482005-India",{"title":1384},{"EN":1385},"Mechanical Engineering Discipline, PDPM Indian Institute of Information Technology, Design and Manufacturing Jabalpur, Jabalpur, Madhya Pradesh, 482005, India",{"openalex":1387,"orcid":1389,"title":1391},{"VOID":1388},"A5015804680",{"VOID":1390},"https:\u002F\u002Forcid.org\u002F0000-0003-4706-7184",{"EN":1392},"Prashant K. 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World Scientific, Singapore",{"doi":1454},"10.1142\u002F5064",{"id":20,"text":1456,"url":20,"identifiers":1457},"Zhang S (2016) Design and fabrication of 3D-printed planar Fresnel zone plate lens. Electron Lett 52:833–835",{"doi":1458},"10.1049\u002Fel.2016.0736",{"id":20,"text":1460,"url":20,"identifiers":1461},"Ghazali MIM, Gutierrez E, Myers JC, Kaur A, Wright B, Chahal P (2015) Affordable 3D printed microwave antennas. Electronic components and technology conference, pp 240–246",{"doi":1462},"10.1109\u002FECTC.2015.7159599",{"id":20,"text":1464,"url":20,"identifiers":1465},"Francis V, Jain PK (2015) Advances in nanocomposite materials for additive manufacturing. Int J Rapid Manuf 5(3\u002F4):215–233",{"doi":1466},"10.1504\u002FIJRAPIDM.2015.074804",{"id":20,"text":1468,"url":20,"identifiers":1469},"Francis V, Jain PK (2016) Experimental investigations on fused deposition modelling of polymer-layered silicate nanocomposite. Virtual Phys Prototyp 11:109–121",{"doi":1470},"10.1080\u002F17452759.2016.1172431",{"id":20,"text":1472,"url":20,"identifiers":1473},"Zhang S, Njoku CC, Whittow WG, Vardaxoglou JC (2015) Novel 3d printed synthetic dielectric substrates. Microw Opt Technol Lett 57:2344–2346",{"doi":1474},"10.1002\u002Fmop.29324",{"id":20,"text":1476,"url":20,"identifiers":1477},"Kirschning M, Jansen RH, Koster NHL (1981) Accurate model for open-end effect of microstrip lines. Electron Lett 17:123–125",{"doi":1478},"10.1049\u002Fel:19810088",{"id":20,"text":1480,"url":20,"identifiers":1481},"Chou YH, Jeng MJ, Lee YH, Jan YG (2008) Measurement of RF PCB dielectric properties and losses. Prog Electromagn Res Lett 4:139–148",{"doi":1482},"10.2528\u002FPIERL08072403",{"id":20,"text":1484,"url":20,"identifiers":1485},"Pozar DM (2005) Microwave engineering, 3rd edn. Wiley, Hoboken",{},{"id":20,"text":1487,"url":20,"identifiers":1488},"Castles F et al (2016) Microwave dielectric characterization of 3D-printed BaTiO3\u002FABS polymer composites. Sci Rep 6(22714):1–8",{},{"id":20,"text":1490,"url":20,"identifiers":1491},"Deffenbaugh PI, Rumpf RC, Church KH (2013) Broadband microwave frequency characterization of 3-D printed materials. IEEE Trans Compon Packag Manuf Technol 3:2147–2155",{"doi":1492},"10.1109\u002FTCPMT.2013.2273306",{"id":20,"text":1494,"url":20,"identifiers":1495},"Yuan S et al (2016) Highly enhanced thermal conductivity of thermoplastic nanocomposites with a low mass fraction of MWCNTs by a facilitated latex approach. Compos Part A Appl Sci Manuf 90:699–710",{"doi":1496},"10.1016\u002Fj.compositesa.2016.09.002",{"id":20,"text":1498,"url":20,"identifiers":1499},"Francis V, Jain PK (2017) 3D printed polymer dielectric substrates with enhanced permittivity by nanoclay inclusion. Virtual Phys Prototyp. doi:\n                        10.1080\u002F17452759.2017.1312466",{"doi":1500},"10.1080\u002F17452759.2017.1312466",{"id":20,"text":1502,"url":20,"identifiers":1503},"Kashani MR, Gharavi N, Javadi S (2008) The effect of organo-clay on the dielectric properties of silicone rubber. Smart Mater Struct 17:1–9",{},{"id":20,"text":1505,"url":20,"identifiers":1506},"Sengwa RJ, Choudhary S, Sankhla S (2010) Dielectric properties of montmorillonite clay filled poly(vinyl alcohol)\u002Fpoly(ethylene oxide) blend nanocomposites. Compos Sci Technol 70:1621–1627",{"doi":1507},"10.1016\u002Fj.compscitech.2010.06.003",{"id":20,"text":1509,"url":20,"identifiers":1510},"Dimitry OIH et al (2010) Preparation and properties of elastomeric polyurethane\u002Forganically modified montmorillonite nanocomposites. J Polym Res 17:801–813",{"doi":1511},"10.1007\u002Fs10965-009-9371-y",{"id":20,"text":1513,"url":20,"identifiers":1514},"Liao L, Zhang C, Gong S (2007) Preparation of poly (e-caprolactone)\u002Fclay nanocomposites by microwave-assisted in situ ring-opening polymerization. Macromol Rapid Commun 28:1148–1154",{"doi":1515},"10.1002\u002Fmarc.200700063",{"id":20,"text":1517,"url":20,"identifiers":1518},"Bindu Sharmila TK et al (2014) Microwave exfoliated reduced graphene oxide epoxy nanocomposites for high performance applications. Polymer 55:3614–3627",{"doi":1519},"10.1016\u002Fj.polymer.2014.05.032",{"id":20,"text":1521,"url":20,"identifiers":1522},"Ahn SH et al (2002) Anisotropic material properties of fused deposition modeling ABS. Rapid Prototyp J 8:248–257",{"doi":1523},"10.1108\u002F13552540210441166",{"id":20,"text":1525,"url":20,"identifiers":1526},"Rybachuk M et al (2017) Anisotropic mechanical properties of fused deposition modeled parts fabricated by using acrylonitrile butadiene styrene polymer. J Polym Eng. doi:\n                        10.1515\u002Fpolyeng-2016-0263",{"doi":1527},"10.1515\u002Fpolyeng-2016-0263",{"id":20,"text":1529,"url":20,"identifiers":1530},"Isakov DV et al (2016) 3D printed anisotropic dielectric composite with meta-material features. Mater Des 93:423–430",{"doi":1531},"10.1016\u002Fj.matdes.2015.12.176",{"id":1533,"createTime":1534,"updateTime":1534,"relativeEntities":1535,"slug":20,"properties":1536,"entityType":151,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21,"primaryUrl":1545,"fullTextUrl":20,"authors":1546,"publicationType":174,"publisherRelationship":1643,"citationCount":20,"citationInfo":20,"publishDate":1677,"publishYear":364,"citationAnalyzeStatus":19,"lastCitationAnalyze":20,"indexDatabases":20,"openAccess":20,"references":20,"isForceReanalyzing":211},"409a0d45-3b19-4636-bcd1-d079aee95c6f","2024-01-09T23:26:58.025+00:00",[],{"references":1537,"abstract":1539,"title":1541,"doi":1543},{"VOID":1538},"Wohlers T (2019) Wohlers report 2019: 3D printing and additive manufacturing state of the industry. WOHLERS Associates, Fort Collins\nEOS GmbH—Electro Optical Systems, 2016. Material data sheet—FlexLine, EOS Nickel Alloy IN718, Manufacturer specification.\nBuchbinder D, Schleifenbaum H, Heidrich S, Meiners W, Bültmann J (2011) High power selective laser melting (HP SLM) of aluminium parts. Phys Procedia 12:271–278\nBremen S, Buchbinder D, Meiners W, Wissenbach K (2011) Mit Selective Laser Melting auf dem Weg zur Serienproduktion? Laser Tech J 8(6):271–278\nKaierle S, Barroi A, Noelke C, Hermsdorf J, Overmeyer L, Haferkamp H (2012) Review on laser deposition welding: from micro to macro. Phys Procedia 39:336–345\nGraf, B.; Schuch, M.; Kersting, R.; Gumenyuk, A.; Rethmeier, M.: Additive Process Chain using Selective Laser Melting and Laser Metal Deposition. Proc. of the Lasers in Manufacturing Conference (LIM) 2015.\nPetrat T, Graf B, Gumenyuk A, Rethmeier M (2016) Laser metal deposition as repair technology for a gas turbine burner made of Inconel 718. Phys Procedia 83:761–768\nUhlmann, E.; Düchting, J.; Petrat, T.; Graf, B.; Rethmeier, M.: Heat treatment of SLM-LMD hybrid components. Proceedings of the Lasers in Manufacturing Conference (LIM) 2019.\nLiu Q, Wang Y, Zheng H, Tang K, Ding L, Li H, Gong S (2016) Microstructure and mechanical properties of LMD-SLM hybrid forming Ti6Al4V alloy. Mater Sci Eng, A 660:24–33\nParimi LL, Attallah MM, Gebelin J, Reed RC (2012) Direct Laser Fabrication of Inconel‐718: effects on distortion and microstructure. In Superalloys 2012 Huron ES, Reed RC, Hardy MC, Mills MJ, Montero RE, Portella PD, Telesman J (eds). https:\u002F\u002Fdoi.org\u002F10.1002\u002F9781118516430.ch56\nNadammal N, Kromm A, Saliwan-Neumann R, Fahrabod L, Haberland C, Dolabella Portella P (2018) Influence of support configurations on the characteristics of selective laser melted Inconel 718. Jom 70:343–348\nWolff SJ, Gan Z, Lin S, Bennett JL, Yan W, Hyatt G, Ehmann KF, Wagner GJ, Liu WK, Cao J (2020) Experimentally validated predictions of thermal history and microhardness in laser-deposited Inconel 718 on carbon steel. Addit Manuf 27:540–551\nWang X, Chou K (2017) Electron backscatter diffraction analysis of Inconel 718 parts fabricated by selective laser melting additive manufacturing. Jom 69:402–408\nCheng Y, Xiao Z, Zhu H, Zeng X, Wang G (2019) Influence of substrate characteristics on residual stress of SLMed Inconel 718. Rapid Prototyp J 25(4):792–799\nGao M, Wang Z, Li X, Zeng X (2013) The effect of deposition patterns on the deformation of substrates during direct laser fabrication. J Eng Mater Technol 135:034502\nNazemi N, Urbanic RJ (2018) A numerical investigation for alternative toolpath deposition solutions for surface cladding of stainless steel P420 powder on AISI 1018 steel substrate. Int J Adv Manuf Technol 96:4123–4143\nSalem M, Le Roux S, Hor A, Dour G (2020) A new insight on the analysis of residual stresses related distortions in selective laser melting of Ti-6Al-4V using the improved bridge curvature method. Addit Manuf 36:101586\nZongo F, Simoneau C, Timercan A, Tahan A, Brailovski V (2020) Geometric deviations of laser powder bed–fused AlSi10Mg components: numerical predictions versus experimental measurements. Int J Adv Manuf Technol 107:1411–1436\nBarros R, Silva FJG, Gouveia RM, Saboori A, Marchese G, Biamino S, Salmi A, Atzeni E (2019) Laser powder bed fusion of Inconel 718: residual stress analysis before and after heat treatment. Metals 9:1290\nEl-Sari B, Biegler M, Graf B, Rethmeier M (2020) Distortion-based validation of the heat treatment simulation of directed energy deposition additive manufactured parts. Procedia CIRP 94:362–366\nFotovvati B, Asadi E (2019) Size effects on geometrical accuracy for additive manufacturing of Ti-6Al-4V ELI parts. Int J Adv Manuf Technol 104:2951–2959\nPetrat T, Brunner-Schwer C, Graf B, Rethmeier M (2019) Microstructure of Inconel 718 parts with constant mass energy input manufactured with direct energy deposition. Procedia Manuf 36:256–266\nVDI guideline 3405 Part 2.2, 2017. “Laser beam melting of metallic parts. Material data sheet nickel alloy material number 2.4668\nMugwagwa L, Dimitrov D, Matope S, Yadroitsev I (2019) Evaluation of the impact of scanning strategies on residual stresses in selective laser melting. Int J Adv Manuf Technol 102:2441–2450",{"EN":1540},"The combination of laser powder bed fusion (LPBF), known for its geometrical freedom and accuracy, and the nozzle-based laser metal deposition process (LMD), known for its high build-up rates, has great potential to reduce the additive manufacturing times for large metallic parts. For the industrial application of the LPBF-LMD hybrid process chain, it is necessary to investigate the influence of the LMD process on the LPBF substrate. In addition, the build plate material also has a significant impact on the occurrence of distortion along the additive manufacturing process chain. In the literature, steel build plates are often used in laser-based additive manufacturing processes of Inconel 718, since a good metallurgical bonding can be assured whilst reducing costs in the production and restoration of the build plates. This paper examines the distortion caused by LMD material deposition and the influence of the build plate material along the hybrid additive manufacturing process chain. Twin cantilevers are manufactured by LPBF and an additional layer is subsequently deposited with LMD. The distortion is measured in the as-built condition as well as after heat treatment. The effect of different LMD hatch strategies on the distortion is determined. The experiments are conducted using the nickel-base alloy Inconel 718. The results show a significant influence of LMD path strategies on distortion, with shorter tool paths leading to less distortion. The remaining distortion after heat treatment is considerably dependent on the material of the build plate.",{"EN":1542},"Effects on the distortion of Inconel 718 components along a hybrid laser-based additive manufacturing process chain using laser powder bed fusion and laser metal 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