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Ezugwu, Z.M. Wang Titanium alloys and their machinability—a review[J]. Journal of Materials Processing Tech, 1997, 68(3):262–274\nLi A, Zhao J, Luo H, Pei Z, Wang Z (2012) Progressive tool failure in high-speed dry milling of Ti-6Al-4V alloy with coated carbide tools[J]. Int J Adv Manuf Technol 58(5-8)\nZoya ZA, Krishnamurthy R (2000) The performance of CBN tools in the machining of titanium alloys[J]. Journal of Materials Processing Tech 100(1)\nZhu Z, Guo K, Sun J, Li J, Yang L, Chen L, Zheng Y (2018) Evolution of 3D chip morphology and phase transformation in dry drilling Ti6Al4V alloys[J]. J Manuf Process 34:531–539\nHan X, Zhang D (2020) Effects of separating characteristics in ultrasonic elliptical vibration assisted milling on cutting force, chip, and surface morphologies[J]. Int J Adv Manuf Technol 108(5)\nJiang Z, Wang L, Shi L, Yueying W (2014) Study on tool wear mechanism and characteristics of carbide tools in cutting Ti6Al4V[J]. Journal of Mechanical Engineering 50(1):178–184 (in chinese)\nXiong Q, Song G, Zhao W (2013) Cutting technology development of titanium alloy aircraft structural part [J]. Aviation Manufacturing Technology 14:42–47\nDong Y, Liu Z, Ren X, Zhuang P (2016) Hybrid modeling with finite element and statistical methods for residual stress prediction in peripheral milling of titanium alloy Ti-6Al-4V[J]. Int J Mech Sci:108–109\nJiao F, Niu Y, Zhao B (2017) Research progress of residual stress in milling of difficult-to-machine materials [J]. Surface Technology 3:267–273 (in chinese)\nBrinksmeier E, Cammett JT, König W, Leskovar P, Peters J, Tönshoff HK (1982) Residual stresses — measurement and causes in machining processes [J]. CIRP Ann Manuf Technol 31(2):491–510\nSun J, Guo YB (2009) A comprehensive experimental study on surface integrity by end milling Ti-6AL-4V[J]. J Mater Process Technol 209(8):4036–4042\nPuerta Velásquez JD, Tidu A, Bolle B, Chevrier P, Fundenberger J-J (2010) Sub-surface and surface analysis of high speed machined Ti–6Al–4V alloy[J]. Materials Science & Engineering A 527(10-11):2572–2578\nCong J, Mo R, Wu B, Wang J (2019) Prediction of deformation induced by residual stress in milling of thin-walled part and optimization of cutting parameters [J]. Mech Sci Technol Aerosp Eng, 38(02):205–210 (in Chinese)\nZhou JZ, Huang S, Zuo LD, Meng XK, Sheng J, Tian Q, Han YH, Zhu WL (2014) Effects of laser peening on residual stresses and fatigue crack growth properties of Ti-6Al-4V titanium alloy[J]. Opt Lasers Eng 52(3):189–194\nLi C, Zhang F, Meng B, Liu L, Rao X (2017) Material removal mechanism and grinding force modelling of ultrasonic vibration assisted grinding for SiC ceramics[J]. Ceram Int 43(3):2981–2993\nShen X, Zhang J, Xing D, Zhao Y (2012) A study of surface roughness variation in ultrasonic vibration-assisted milling. Int J Adv Manuf Technol 58:553–561\nTravieso-Rodriguez JA, Gomez-Gras G, Dessein G, Carrillo F, Alexis J, Jorba-Peiro J, Aubazac N (2015) Effects of a ball-burnishing process assisted by vibrations in G10380 steel specimens. Int J Adv Manuf Technol 81:1757–1765\nZhang X, Zheng K, Liao W, Yao J, Ma W (2017) Investigation on surface integrity for ultrasonic vibration assisted milling titanium alloy [J]. Tool Technology 9(5) (in chinese)\nZhu Y, Wang K, Li L, Huang Y (2009) Evaluation of an ultrasound- aided deep rolling process for anti-fatigue applications[J]. J Mater Eng Perform 18(8):1036–1040\nTong J, Zhao J, Chen P, Zhang Z, Zhao B (2020) Effect of ultrasonic longitudinal–torsional composite milling of the residual stress on the surface of titanium alloy[J]. Proc Inst Mech Eng C J Mech Eng Sci 234(8)\nMaurotto A, Wickramarachchi CT (2016) Experimental investigations on effects of frequency in ultrasonically-assisted end-milling of AISI 316L: A feasibility study[J]. Ultrasonics 65:113–120\nNiu Y, Jiao F, Zhao B, Tong J (2019) Experiment of machining induced residual stress in longitudinal torsional ultrasonic assisted milling of Ti-6Al-4V [J]. Surface Technology (10):41–51 (in chinese)\nRoy S, Jagadish (2017) Design of a circular hollow ultrasonic horn for USM using finite element analysis[J]. Int J Adv Manuf Technol 93(1-4)\nTong J, Wei G, Zhao L, Wang X, Ma J (2018) Surface microstructure of titanium alloy thin-walled parts at ultrasonic vibration-assisted milling. Int J Adv Manuf Technol 101:1007–1021\nDong G, Lang C, Li C, Zhang L (2020) Formation mechanism and modelling of exit edge-chipping during ultrasonic vibration grinding of deep-small holes of microcrystalline-mica ceramics[J]. Ceram Int 46(8):12458–12469",{"EN":394},"The production of thin-walled titanium alloy curved surfaces is of great significance to aerospace manufacturing industry. The magnitude and distribution of residual stress are one of the important factors affecting the surface integrity of the workpiece. In order to obtain larger surface residual compressive stress, improve the surface integrity of the workpiece, and realize the fatigue-resistant manufacturing, the ultrasonic longitudinal-torsional composite milling method was proposed. Orthogonal and single-factor experiments were carried out on titanium alloy curved thin-walled parts, and the differences of cutting force, cutting temperature, and residual stress between conventional milling and ultrasonic longitudinal-torsional composite milling were compared and analyzed, and the influence of different process parameters on the surface residual stress of titanium alloy thin-walled parts was explored. Compared with conventional milling, the surface residual stress values of ultrasonic longitudinal-torsional composite milling workpiece were negative and significantly increased, with the maximum increase rate of 54.88%.The cutting force was greatly reduced, and Fx and Fy decreased by 31.6% and 45.33%, respectively. The instantaneous cutting temperature was also greatly reduced, the maximum reduction of which is 17.53%. With the increase of ultrasonic amplitude and feed per tooth, the surface residual compressive stress increases gradually but decreases with the increase of spindle speed and curvature. The experimental results show that ultrasonic longitudinal-torsional composite milling is a reliable method for machining titanium alloy curved thin-walled parts, which can obtain larger residual compressive stress and improve the machined surface integrity.",{"EN":396},"Experimental study on surface residual stress of titanium alloy curved thin-walled parts by ultrasonic longitudinal-torsional composite milling",{"VOID":398},"10.1007\u002Fs00170-021-07234-9","VERIFIED","Auto 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P, Shi H, Tian Y, Yu Z, Wu D (2021) Effect of zinc on the fracture behavior of galvanized steel\u002F6061 aluminum alloy by laser brazing. Weld World 65:13–22. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs40194-020-00992-2\nLiu FC, Dong P (2021) From thick intermetallic to nanoscale amorphous phase at Al-Fe joint interface: roles of friction stir welding conditions. Scripta Mater 191:167–172. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.scriptamat.2020.09.031\nSilvayeh Z, Domitner J, Sommitsch C, Hartmann M, Karner W, Götzinger B (2020) Mechanical properties and fracture modes of thin butt-joined aluminum-steel blanks for automotive applications. J Manuf Process 59:456–467. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jmapro.2020.09.050\nNishino S (2020) Joining mechanism on resistance spot-welding between aluminum alloy and steel and evaluation of joining strength\nLivieri P, Tovo R (2021) Fatigue strength of aluminium welded joints by a non-local approach. Int J Fatigue 143:106000. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.ijfatigue.2020.106000\nDinda SK, Srirangam P, Roy GG (2020) Defects comparison between single- and double-sided electron beam welded dissimilar DP600 Steel to 5754 Al alloy joints: X-ray tomography study, San Diego, CA, United states, 2020[C]. Springer Sci Busin Media Deutschland GmbH\nWallerstein D, Lusquiños F, Comesaña R, Del Val J, Riveiro A, Badaoui A, Pou J (2021) Dissimilar unbeveled butt joints of AA6061 to S235 structural steel by means of standard single beam fiber laser welding-brazing. J Mater Process Technol 291:116994. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jmatprotec.2020.116994\nLiu X, Lan S, Ni J (2014) Analysis of process parameters effects on friction stir welding of dissimilar aluminum alloy to advanced high strength steel. Mater Des 59:50–62. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.matdes.2014.02.003\nFang Y, Jiang X, Mo D, Zhu D, Luo Z (2019) A review on dissimilar metals’ welding methods and mechanisms with interlayer. Int J Adv Manufact Technol 102:2845–2863. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs00170-019-03353-6\nTakata N, Nishimoto M, Kobayashi S, Takeyama M (2014) Morphology and formation of Fe-Al intermetallic layers on iron hot-dipped in Al-Mg-Si alloy melt. Intermetallics 54:136–142. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.intermet.2014.06.003\nPp A, Gsb C, Db C, Ds A, Gf C (2007) Generation of aluminium–steel joints with laser-induced reactive wetting. Mater Sci Eng A 444:327–338. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.msea.2006.09.111\nYang X (2014) Effect of powder components on quality of laser welding aluminum to steel with filler powder. Master Changchun Uni Sci Technol Mechan Manufact Auto\nYan LI, Ning L, Jiankang H, Ding F (2018) Structure and property of aluminum-steel dissimilar metal joint by laser fusion brazing with addition of different alloy powders. Mater Mechan Eng 42:30–35, 41. https:\u002F\u002Fdoi.org\u002F10.11973\u002Fjxgccl201806006\nDianwu Z, Jinshui L, Yuanzhi L, Laiqin Z, Jingchun P (2018) Microstructure and mechanical properties of deep penetration laser welding joints in steel\u002Faluminum with Si powder addition. J Mechan Eng 54:58–65. https:\u002F\u002Fdoi.org\u002F10.3901\u002FJME.2018.14.058\nYuan-zhi L, Jin-shui L, Dian-wu Z, Zhe T, Xiao J, Lin-xi HU (2016) Laser lap welding joints in dual phase steel\u002Faluminum alloy with Mn powder addition[Z]. 26:1632–1640\nLi T, Zhou D, Yan Y, Zhang S, Liu J (2020) Effect of Ti foil on microstructure and mechanical properties of laser fusion welding of DP590 dual-phase steel to 6022 aluminum alloy. Mater Sci Eng A 796:139929. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.msea.2020.139929\nChen S, Huang J, Ma K, Zhao X, Vivek A (2014) Microstructures and mechanical properties of laser penetration welding joint with\u002Fwithout Ni-foil in an overlap steel-on-aluminum configuration. Metall Mater Trans A 45:3064–3073. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs11661-014-2241-1\nGeng Y, Akbari M, Karimipour A, Karimi A, Soleimani A, Afraned M (2019) Effects of the laser parameters on the mechanical properties and microstructure of weld joint in dissimilar pulsed laser welding of AISI 304 and AISI 420. Infra Phys Technol 103. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.infrared.2019.103081\nSharifi M, Akbari M (2019) Experimental investigation of the effect of process parameters on cutting region temperature and cutting edge quality in laser cutting of AL6061T6 alloy. Optik 184:457–463. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.ijleo.2019.04.105\nDas T, Paul J (2020) Resistance spot welding of similar and dissimilar metals: the effect of graphene interlayer. JOM 72:2863–2874. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs11837-020-04159-8\nDas T, Das R, Paul J (2020) Resistance spot welding of dissimilar AISI-1008 steel\u002FAl-1100 alloy lap joints with a graphene interlayer. J Manuf Process 53:260–274. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jmapro.2020.02.032\nLI Y (2015) Effect of different processing methods on the surface of steel on quality of laser welding aluminum to steel with filler power. Master Changchun Uni Sci Technol Mechan Manufact Auto. http:\u002F\u002Fwww.wanfangdata.com.cn\u002Fdetails\u002Fdetail.do?_type=degree&id=D743966\nChen X (2019) A study on microstructure and properties of steel\u002Faluminum laser deep penetration welded joint. Master Soochow Uni. http:\u002F\u002Fkns.cnki.net\u002FKCMS\u002Fdetail\u002Fdetail.aspx?FileName=1019262514.nh&DbName=CMFD2020\nZhou D, Tian W, Peng L, Zhang Y, Chen G (2014) Laser lap welding of steel and aluminum alloy with Cu, Pb metal sandwich addition. Rare Met Mater Eng. 43:1181–1186\nYuan J, Zhou D, Chen S, Sun J, Hou D (2017) Interfacial microstructure and properties of steel\u002Faluminum powder additive. J Mater Eng. 45:123–128\nLu Y (2016) Study on the behavior and mechanism in DP steel\u002Faluminum alloy laser welding with powder addition[Z]. Hunan Uni Master\nZhang L, Zhou D, Liu J, Xu S, Qiao X, Li S (2013) Laser welding of steel\u002Faluminum dissimilar metal with powder addition. Chin J Nonferr Met 23:3401–3409. https:\u002F\u002Fdoi.org\u002F10.19476\u002Fj.ysxb.1004.0609.2013.12.020\nJian-kang H, Zi-yi W, Ning L, Shu-rong YU, Ding F (2018) Effect of metal coating on microstructure and properties of aluminum\u002Fsteel laser welding-brazing joint. J Mater Eng 46:99–105. https:\u002F\u002Fdoi.org\u002F10.11868\u002Fj.issn.1001-4381.2016.001568\nGang W, Xuelong C, Caiwang T, Junjun J, Chang X (2020) Effect of Ni\u002FSi foil interlayer on microstructure and mechanical properties of laser welded aluminum\u002Fsteel joints. Transact China Weld Insti 41:84–89. https:\u002F\u002Fdoi.org\u002F10.12073\u002Fj.hjxb.20191022001\nLiu D, Wang J, Xu M, Jiao H, Tang Y, Li D, Zhao L et al (2020) Evaluation of dissimilar metal joining of aluminum alloy to stainless steel using the filler metals with a high-entropy design. J Manuf Process 58:500–509. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jmapro.2020.08.031\nJianling S, Sanbao Y, Chunli Y, Guangchao M (2008) Research on alloy agent for improving welded joint properties of aluminum to steel dissimilar material. Aeronaut Manufact Technol 12:26. https:\u002F\u002Fdoi.org\u002F10.16080\u002Fj.issn1671-833x.2008.12.006\nJie W, Songbai X, Wenpan F, Yilong H, Peng Z (2019) Present status and development trend for brazing aluminum to steel [J]. 33(21):3533–3540\nWindmann M, Roettger A, Kuegler H, Theisen W, Vollertsen F (2015) Laser beam welding of aluminum to Al-base coated high-strength steel 22MnB5. J Mater Process Technol 217:88–95. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jmatprotec.2014.10.026\nHd A, Wh A, Yd A, Xw A, Cd B (2012) Dissimilar metal joining of aluminum alloy to galvanized steel with Al–Si, Al–Cu, Al–Si–Cu and Zn–Al filler wires. J Mater Process Technol 212:458–464. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jmatprotec.2011.10.009\nXia H, Li L, Ma N, Tan C, Gong J (2020) Influence of energy ratio on dual-spot laser welded-brazed Al\u002Fsteel butt joint. J Mater Process Technol 281. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jmatprotec.2020.116624\nJianxun Z, Xu J, Zhenzhen XU, Guifeng Z (2020) Study on characteristics of laser welding-brazing of 6061 aluminum alloy to SPCC cold rolled steel. J Mechan Eng 56:41–49. https:\u002F\u002Fdoi.org\u002F10.3901\u002FJME.2020.06.041\nXue J, Li Y, Chen H, Zhu Z (2018) Effects of heat input on wettability, interface microstructure and properties of Al\u002Fsteel butt joint in laser-metal inert-gas hybrid welding-brazing. J Mater Process Technol 255:47–54. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jmatprotec.2017.11.063\nGao W, Yan Q, Huang J (2014) Microstructure and mechanical property of laser wire fusion brazing welded butt joints of steel\u002Faluminum dissimilar metal[Z]. 85–90. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jmatprotec.2019.116467\nLaukant H, Wallmann C, Muller M, Korte M, Stirn B, Haldenwanger HG, Glatzel U (2005) Fluxless laser beam joining of aluminium with zinc coated steel. Sci Technol Weld Join 10:219–226. https:\u002F\u002Fdoi.org\u002F10.1179\u002F174329305X37051\nHuang R, Tan C, Sun Y, Gong X, Wu L, Chen B, Zhao H et al (2021) Influence of processing window on laser welding-brazing of Al to press-hardened 22MnB5 steel. Opt Laser Technol 133:106566. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.optlastec.2020.106566\nSu J, Yang J, Li Y, Yu Z, Chen J, Zhao W, Liu H et al (2020) Microstructure and mechanical properties of laser fusion welded Al\u002Fsteel joints using a Zn-based filler wire. Opt Laser Technol 122:105882. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.optlastec.2019.105882\nFengyu D, Caiwang T, Shenghao M, Guoxin LI, Hongyun Z, Jicai F (2017) Laser welding-brazing characteristics of dual-phase steel DP590\u002FAl alloy 6061. Elect Weld Mach 47:12–17. https:\u002F\u002Fdoi.org\u002F10.7512\u002Fj.issn.1001-2303.2017.09.03\nYu G, Chen S, Zou T, Li S, Huang J, Yang J, Zhao Z et al (2020) Laser beam joining of Al\u002Fsteel dissimilar metals with Sn-Zn filler wire in overlap configuration. J Manuf Process 60:481–493. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jmapro.2020.10.079",{"EN":524},"Steel-aluminum dissimilar metal welding has a robust application demand in automobile lightweight. However, the formation of Fe-Al intermetallic compounds (IMCs) reduces the steel-aluminum welded joint’s mechanical properties (tensile strength or linear load). This paper reviews the research results of transition layer and filler wire in improving the mechanical properties of steel-aluminum laser welding joint (SALWD). The mechanism of improving the mechanical properties of SALWD by filler wire and transition layer is summarized. The transition layer’s development direction uses multi-element, trace rare earth elements and high-strength fiber. The development direction of filler wire is to develop the low melting point, good wettability, and high-strength filler wire. This article has reference value for researching dissimilar metal welding and transition layer and welding wire materials.",{"EN":526},"Research progress of transition layer and filler wire for laser welding of steel and aluminum dissimilar metals",{"VOID":528},"10.1007\u002Fs00170-021-08442-z","https:\u002F\u002Flink.springer.com\u002F10.1007\u002Fs00170-021-08442-z",[531,547,559],{"id":532,"sortIndex":21,"researcher":20,"roles":533,"affiliations":534,"properties":544},"ef64885a-b0ae-497b-80c6-30f151c6311d",[288],[535],{"id":20,"sortIndex":21,"affiliation":536,"properties":20},{"id":537,"createTime":538,"updateTime":538,"relativeEntities":539,"slug":540,"properties":541,"entityType":73,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"52d43595-b010-44b1-929c-109767bd3ba0","2024-04-07T06:38:29.902+00:00",[],"School-of-Mechanical-Electrical-Engineering-Guangxi-Key-Laboratory-of-Manufacturing-Systems-and-Advanced-Manufacturing-Technology-Guilin-University-of-Electronic-Technology-Guilin-China",{"title":542},{"VI":543},"School of Mechanical & Electrical Engineering, Guangxi Key Laboratory of Manufacturing Systems and Advanced Manufacturing Technology, 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Int J Mach Tools Manuf 56:94–101. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.ijmachtools.2012.01.007",{"doi":952},"10.1016\u002Fj.ijmachtools.2012.01.007",{"id":20,"text":954,"url":20,"identifiers":955},"Ding WF, JH X, Chen ZZ, Yang CY, Song CJ, YC F (2013) Fabrication and performance of porous metal-bonded CBN grinding wheels using alumina bubble particles as pore-forming agents. Int J Adv Manuf Technol 67(5-8):1309–1315. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs00170-012-4567-4",{"doi":956},"10.1007\u002Fs00170-012-4567-4",{"id":20,"text":958,"url":20,"identifiers":959},"Zhao Z, YC F, JH X, Zhang Z, Liu Z, He J (2016) An investigation on high-efficiency profile grinding of directional solidified nickel-based superalloys dz125 with electroplated cbn wheel. Int J Adv Manuf Technol 83(1-4):1–11. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs00170-015-7550-z",{"doi":960},"10.1007\u002Fs00170-015-7550-z",{"id":20,"text":962,"url":20,"identifiers":963},"Yao CF, Wang T, Ren JX (2014) A comparative study of residual stress and affected layer in Aermet100 steel grinding with alumina and cBN wheels. Int J Adv Manuf Technol 74(1-4):125–137. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs00170-014-5955-8",{"doi":964},"10.1007\u002Fs00170-014-5955-8",{"id":20,"text":966,"url":20,"identifiers":967},"Wang L, Tian XL, Liu Q, Tang XJ, Yang LJ, Long H (2017) Surface integrity analysis of 20CrMnTi steel gears machined using the WD-201 microcrystal corundum grinding wheel. Int J Adv Manuf Technol 93(5-8):2903–2912. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs00170-017-0725-z",{"doi":968},"10.1007\u002Fs00170-017-0725-z",{"id":20,"text":970,"url":20,"identifiers":971},"Wang L, Tian X, Liu Q, Li Y, Tang X, Yang L (2017) Experimental study and theoretical analysis of the form grinding of gears using new type micro-crystal corundum grinding wheels. Int J Adv Manuf Technol 92(5):1–11",{"doi":972},"10.1007\u002Fs00170-017-0246-9",{"id":20,"text":974,"url":20,"identifiers":975},"Shihab SK, Khan ZA, Mohammad A, Siddiquee AN (2014) Investigation of surface integrity during wet turning of hard alloy steel. Int J Mach Mach Mater 16(1):22–37. https:\u002F\u002Fdoi.org\u002F10.1504\u002FIJMMM.2014.063919",{"doi":976},"10.1504\u002FIJMMM.2014.063919",{"id":20,"text":978,"url":20,"identifiers":979},"Singh A, Anandita S, Gangopadhyay S (2015) Microstructural analysis and multiresponse optimization during ecm of inconel 825 using hybrid approach. Mat Manuf Proc 30(7):842–851. https:\u002F\u002Fdoi.org\u002F10.1080\u002F10426914.2014.973575",{"doi":980},"10.1080\u002F10426914.2014.973575",{"id":20,"text":982,"url":20,"identifiers":983},"Habrat W, Krok M, Porzycki J, et al. (2016) Effect of modification of mono-crystalline corundum grinding wheel on external cylindrical grinding process of Ti6Al4V titanium alloy. MECHANIK NR (10):1396–1397",{"doi":984},"10.17814\u002Fmechanik.2016.10.379",{"id":20,"text":986,"url":20,"identifiers":987},"Nadolny K (2014) State of the art in production, properties and applications of the microcrystalline sintered corundum abrasive grains. Int J Adv Manuf Technol 74(9-12):1445–1457. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs00170-014-6090-2",{"doi":988},"10.1007\u002Fs00170-014-6090-2",{"id":20,"text":990,"url":20,"identifiers":991},"Nadolny K, Kapłonek W (2016) The effect of wear phenomena of grinding wheels with sol-gel alumina on chip formation during internal cylindrical plunge grinding of 100Cr6 steel. Int J Adv Manuf Technol 87(1-4):501–517. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs00170-016-8500-0",{"doi":992},"10.1007\u002Fs00170-016-8500-0",{"id":20,"text":994,"url":20,"identifiers":995},"Nadolny K (2015) Wear phenomena of grinding wheels with sol–gel alumina abrasive grains and glass–ceramic vitrified bond during internal cylindrical traverse grinding of 100Cr6 steel. Int J Adv Manuf Technol 77(1-4):83–98. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs00170-014-6432-0",{"doi":996},"10.1007\u002Fs00170-014-6432-0",{"id":20,"text":998,"url":20,"identifiers":999},"Zhao Z, Xu JH, Fu YC, Zhang Z (2014) Performance of micro-crystalline ceramic alumina wheels during creep feed grinding nickel-based superalloy. Int J Abras Technol 6(4):314. https:\u002F\u002Fdoi.org\u002F10.1504\u002FIJAT.2014.065832",{"doi":1000},"10.1504\u002FIJAT.2014.065832",{"id":20,"text":1002,"url":20,"identifiers":1003},"Wang L, Tian X, Lu Q, Li Y (2017). Material removal characteristics of 20crmnti steel in single grit cutting. Mat Manuf Proc",{"doi":1004},"10.1080\u002F10426914.2017.1279298",{"id":20,"text":1006,"url":20,"identifiers":1007},"Zhang ZY, Shang W, Ding HH, Guo J, Wang HY, Liu QY (2016) Thermal model and temperature field in rail grinding process based on a moving heat source. Appl Therm Eng 106:855–864. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.applthermaleng.2016.06.071",{"doi":1008},"10.1016\u002Fj.applthermaleng.2016.06.071",{"id":20,"text":1010,"url":20,"identifiers":1011},"Tahvilian AM, Liu Z, Champliaud H, Hazel B (2013) Experimental and finite element analysis of temperature and energy partition to the workpiece while grinding with a flexible robot. J Mater Process Technol 213(12):2292–2303. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jmatprotec.2013.07.002",{"doi":1012},"10.1016\u002Fj.jmatprotec.2013.07.002",{"id":20,"text":1014,"url":20,"identifiers":1015},"Mao C, Zhou ZX, Ren YH, Zhang B (2010) Analysis and FEM simulation of temperature field in wet surface grinding. Mat Manuf Proc 25(6):399–406. https:\u002F\u002Fdoi.org\u002F10.1080\u002F10426910903124811",{"doi":1016},"10.1080\u002F10426910903124811",{"id":20,"text":1018,"url":20,"identifiers":1019},"Zhou N, Peng RL, Pettersson R (2016) Surface integrity of 2304 duplex stainless steel after different grinding operations. J Mat Proc Tech 229:294–304. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jmatprotec.2015.09.031",{"doi":1020},"10.1016\u002Fj.jmatprotec.2015.09.031",{"id":20,"text":1022,"url":20,"identifiers":1023},"Raykar SJ, Addona DM, Mane AM (2015) Multi-objective optimization of high speed turning of al 7075 using grey relational analysis ☆. Procedia Cirp 33:293–298. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.procir.2015.06.052",{"doi":1024},"10.1016\u002Fj.procir.2015.06.052",{"id":20,"text":1026,"url":20,"identifiers":1027},"Pawade RS, Joshi SS (2011) Multi-objective optimization of surface roughness and cutting forces in high-speed turning of Inconel 718 using Taguchi grey relational analysis (TGRA). Int J Adv Manuf Technol 56(1-4):47–62. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs00170-011-3183-z",{"doi":1028},"10.1007\u002Fs00170-011-3183-z",{"id":1030,"createTime":1031,"updateTime":1032,"relativeEntities":1033,"slug":1034,"properties":1035,"entityType":281,"verifyStatus":399,"verifyTime":1048,"verifyNote":400,"syncStatus":19,"languages":20,"translateLanguages":1049,"viewCount":21,"primaryUrl":1051,"fullTextUrl":20,"authors":1052,"publicationType":346,"publisherRelationship":1094,"citationCount":20,"citationInfo":20,"publishDate":1128,"publishYear":1129,"citationAnalyzeStatus":19,"lastCitationAnalyze":20,"indexDatabases":20,"openAccess":20,"references":20,"isForceReanalyzing":383},"6d95cff0-9aac-4966-98b9-6056577a37e3","2023-12-13T23:51:40.542+00:00","2025-01-12T23:59:34.967+00:00",[],"Injection-molding-simulation-with-solid-semi-crystalline-polymer-mechanical-behavior-for-ejection-analysis",{"references":1036,"abstract":1038,"title":1041,"doi":1044,"keywords":1046},{"VOID":1037},"Fischer JM (2003) Handbook of molded part shrinkage and warpage. William Andrew Pub., Norwich, N.Y, Plastics Design Library\nDrozdov AD, Christiansen J deC. (2008) Thermo-viscoelastic and viscoplastic behavior of high-density polyethylene. Int J Solids Struct 45:4274–4288. doi: 10.1016\u002Fj.ijsolstr.2008.03.008\nDrozdov AD, Klitkou R, Christiansen J deC. (2013) Multi-cycle deformation of semicrystalline polymers: observations and constitutive modeling. Mech Res Commun 48:70–75. doi: 10.1016\u002Fj.mechrescom.2013.01.001\nBaaijens FPT (1991) Calculation of residual stresses in injection molded products. Rheol Acta 30:284–299. doi:10.1007\u002FBF00366642\nChang R-Y, Chiou S-Y (1995) A unified K-BKZ model for residual stress analysis of injection molded three-dimensional thin shapes. Polym Eng Sci 35:1733–1747\nKabanemi KK, Aït-Kadi A, Tanguy PA (1995) Prediction of residual flow and thermoviscoelastic stresses in injection molding. Rheol Acta 34:97–108\nWang H, Kabanemi KK, Salloum G (2000) Numerical and experimental studies on the ejection of injection-molded plastic products. Polym Eng Sci 40:826–840\nBataineh OM, Klamecki BE (2005) Prediction of local part-mold and ejection force in injection molding. J Manuf Sci Eng-Trans Asme 127:598–604\nPontes AJ, Pouzada AS, Pantani R, Titomanlio G (2005) Ejection force of tubular injection moldings. Part II: a prediction model. Polym Eng Sci 45:325–332. doi:10.1002\u002Fpen.20275\nKamal MR, Lai-Fook RA, Hernandez-Aguilar JR (2002) Residual thermal stresses in injection moldings of thermoplastics: a theoretical and experimental study. Polym Eng Sci 42:1098–1114\nKrebelj K, Mole N, Štok B (2017) Three-dimensional modeling of the stress evolution in injection molded parts based on a known melt pressure field. Int J Adv Manuf Technol 90:2363–2376. doi:10.1007\u002Fs00170-016-9533-0\nKrebelj K, Mole N, Štok B (2016) Numerical modeling of the mechanical response of highdensity polyethylene under the circumstances of ejection in injection molding. Kuhljevi dnevi 2016, Bovec, Slovenia, 83-90 (in Slovenian)\nDrozdov AD (2010) Cyclic thermo-viscoplasticity of high density polyethylene. Int J Solids Struct 47:1592–1602. doi:10.1016\u002Fj.ijsolstr.2010.02.021\nDrozdov AD, Christiansen J deC. (2007) Cyclic viscoplasticity of high-density polyethylene: experiments and modeling. Comput Mater Sci 39:465–480. doi: 10.1016\u002Fj.commatsci.2006.07.014\nDrozdov AD (2011) Cyclic viscoelastoplasticity and low-cycle fatigue of polymer composites. Int J Solids Struct 48:2026–2040. doi:10.1016\u002Fj.ijsolstr.2011.03.009\nBushko WC, Stokes VK (1995) Solidification of thermoviscoelastic melts. Part I: formulation of model problem. Polym Eng Sci 35:351–364. doi:10.1002\u002Fpen.760350409\nJansen KMB, Titomanlio G (1996) Effect of pressure history on shrinkage and residual stresses—injection molding with constrained shrinkage. Polym Eng Sci 36:2029–2040\nPantani R, Speranza V, Titomanlio G (2001) Relevance of mold-induced thermal boundary conditions and cavity deformation in the simulation of injection molding. Polym Eng Sci 41:2022–2035\nZheng R, Tanner RI, Fan X-J (2011) Injection molding. Springer, Berlin Heidelberg, Berlin, Heidelberg\nJansen KMB, Van Dijk DJ, Husselman MH (1998) Effect of processing conditions on shrinkage in injection molding. Polym Eng Sci 38:838–846\nDawson A, Rides M, Nottay J (2006) The effect of pressure on the thermal conductivity of polymer melts. Polym Test 25:268–275. doi: http:\u002F\u002Fdx.doi.org\u002F10.1016\u002Fj.polymertesting.2005.10.001\nGaur U, Wunderlich B (1981) Heat capacity and other thermodynamic properties of linear macromolecules. II Polyethylene J Phys Chem Ref Data 10:119–152\nBrown ME, Gallagher PK (2011) Handbook of thermal analysis and calorimetry: recent advances. Elsevier Science, Techniques and Applications\nYu CJ, Sunderland JE, Poli C (1990) Thermal contact resistance in injection molding. Polym Eng Sci 30:1599–1606. doi:10.1002\u002Fpen.760302408\nDelaunay D, Le Bot P, Fulchiron R et al (2000) Nature of contact between polymer and mold in injection molding. Part I: influence of a non-perfect thermal contact. Polym Eng Sci 40:1682–1691. doi:10.1002\u002Fpen.11300\nKoizuka A, Miyamoto M (2005) Heat transfer from plastic film heated by thermal radiation. Heat Transfer—Asian Res 34:265–278. doi:10.1002\u002Fhtj.20059\nZoetelief WF, Douven LFA, Housz AJI (1996) Residual thermal stresses in injection molded products. Polym Eng Sci 36:1886–1896. doi:10.1002\u002Fpen.10585",{"VI":1039,"EN":1040},"Sản phẩm được tạo ra từ việc ép khuôn bằng polymer bán tinh thể có thể bao gồm các đặc điểm bị ngược, điều này có thể dẫn đến sự biến dạng hình dạng của sản phẩm trong quá trình đẩy ra. Một phương pháp mô hình hóa nhiệt cơ học để mô phỏng những vấn đề phức tạp trong quá trình đẩy sản phẩm đã được phát triển. Phương pháp này được hình thành bằng cách kết hợp phương pháp dự đoán ứng suất dư ba chiều và mô hình vật liệu tiên tiến để mô phỏng hành vi cơ học visco-elasto-plastic của vật liệu rắn. Công việc này nhằm đánh giá, thông qua việc phân tích một sản phẩm giống như tấm, hiệu suất của phương pháp trong bối cảnh không có tác động biến dạng trong quá trình đẩy. Sự co ngót và khối lượng sản phẩm được dự đoán số trong các mức áp suất đóng gói khác nhau được so sánh với kết quả thực nghiệm. Ảnh hưởng của áp suất đóng gói đến sự co ngót và khối lượng sản phẩm đã được mô hình tái hiện và trường ứng suất dư cuối cùng được tìm thấy phù hợp với mong đợi. Điều này xác nhận rằng phương pháp có thể được sử dụng để phân tích các vấn đề về đẩy sản phẩm tiên tiến.","Injection molded products, produced from semi-crystalline polymers, may include undercut features which can introduce distortion to the shape of the product during ejection. A thermo-mechanical modeling approach for simulating these advanced ejection problems is developed. The approach is formed by combining a method for three-dimensional residual stress prediction and an advanced material model for modeling the solid visco-elasto-plastic mechanical behavior. The task of this work is to assess, by analyzing a plaque-like product, the performance of the approach in the absence of the distortive ejection effects. The numerically predicted product shrinkage and mass at different packing pressure settings are compared to experimental results. The effect of packing pressure on product shrinkage and mass was reproduced by the model and the final residual stress field was found to be in accordance with the expectations. This confirms that the methodology could be used to analyze advanced ejection problems.",{"VI":1042,"EN":1043},"Mô phỏng ép khuôn với hành vi cơ học của polymer bán tinh thể rắn cho phân tích quá trình đẩy sản phẩm","Injection molding simulation with solid semi-crystalline polymer mechanical behavior for ejection analysis",{"VOID":1045},"10.1007\u002Fs00170-017-0847-3",{"VI":1047},"ép khuôn, polymer bán tinh thể, mô phỏng nhiệt cơ học, ứng suất dư, hành vi cơ học 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C (1982) Cintrage. In: CETIM (ed) Le formage des tôles fortes. Imprimerie Bayeusaine, Bayeux, France, pp 101–104 (in Franch).\nZeng J, Liu Z, Champliaud H (2008) FEM dynamic simulation and analysis of the roll-bending process for forming a conical tube. J Mater Process Technol 198:330–343\nFeng Z, Champliaud H, Dao TM (2009) Numerical study of non-kinematical conical bending with cylindrical rolls. Simul Model Pract Theory 17:1710–1722\nFeng Z, Champliaud H (2011) Modeling and simulation of asymmetrical three-roll bending process. Simul Model Pract Theory 19(9):1913–1917\nTran HQ, Champliaud H, Feng Z, Salem J, Dao TM (2013) Heat-assisted roll bending process dynamic simulation. Int J Model Simul 33(1):54–62\nHu W, Wang ZR (2001) Theoretical analysis and experimental study to support the development of a more valuable roll-bending process. Int J Mach Tools Manuf 41(5):731–747\nHua M, Baines K, Cole IM (1999) Continuous four-roll plate bending: a production process for the manufacture of single seamed tubes of large and medium diameters. Int J Mach Tools Manuf 39(6):905–935\nTekiner Z (2004) An experimental study on the examination of spring-back of sheet metals with several thicknesses and properties in bending dies. J Mater Process Technol 145(1):109–117\nYang M, Shima S (1988) Simulation of pyramid type three-roll bending process. Int J Mech Sci 30(12):877–886\nRoggendorff S, Haeusler J (1979) Plate bending: three rolls and four rolls compared. Weld Met Fabr 47(6):353–357\nMahesh C, Harit R (2013) Development of analytical model of bending force during 3-roller conical bending process and its experimental verification. Int J Mech Aerosp Ind Mechatronics Eng 7(11):1308–1316\nMatlab (2011) version 7.12",{"EN":1140},"The asymmetrical three-roll bending process is commonly used to manufacture cylindrical and conical sections from flat plates. The roll bending forces, the residual stresses, and the required roll bending power are influenced by material properties and process parameters, such as yield stress, plate thickness, curvature, and conicity for a truncated cone. In the present paper, an analytical model is developed to predict roll bending force, residual stresses, and power of roll bending process. To verify the developed model, asymmetrical three-roll bending experiments are performed. The results given by analytical model are in agreement with the experimental results. The analytical model has shown that an increase of the yield stress of material, or plate thickness or conicity requires more roll bending forces, roll bending power during roll bending process and results in residual stresses in the final shape. On other hand, an increase of the radius of bent shape requires less roll bending forces, less roll bending power, and results in less residual stresses in the final shape. Geometric verification of bent shapes has shown that when the yield stress, the thickness, or the conicity of the bent shape increases, the bent shape has less geometric defects. On the contrary, it was found that when the radius of curvature increases, the final shape has more geometric defects.",{"EN":1142},"Experimental analysis of an asymmetrical three-roll bending process",{"VOID":1144},"10.1007\u002Fs00170-015-7678-x","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs00170-015-7678-x",[1147,1162,1174,1186],{"id":1148,"sortIndex":150,"researcher":20,"roles":1149,"affiliations":1150,"properties":1159},"a99164b2-1c03-483c-8c21-8937d3d4ef80",[288],[1151],{"id":20,"sortIndex":21,"affiliation":1152,"properties":20},{"id":1153,"createTime":1154,"updateTime":1154,"relativeEntities":1155,"slug":20,"properties":1156,"entityType":73,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"105c9cd1-d6c8-47a6-957b-d9e2eea8183d","2024-02-11T19:14:00.040+00:00",[],{"title":1157},{"VI":1158},"Ecole de Technologie Superieure, Montreal, Canada",{"title":1160},{"VI":1161},"Henri 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E, Jewkes E (2013) Performance analysis and optimization of hybrid manufacturing systems under a batch ordering policy. Int J Prod Econ 144(1):200–208\nCarr S, Duenyas I (2000) Optimal admission control and sequencing in a make-to-stock make-to-order production system. Oper Res 48(5):709–720\nChen X, Tai AH, Yang Y (2014) Optimal production and pricing policies in a combined make-toorder\u002F make-to-stock system. Int J Prod Res. doi:10.1080\u002F00207543.2014.932930\nDenton B, Gupta D, Jawahir K (2003) Managing increasing product variety at integrated steel mills. Interfaces 33:41–53\nGhrayeb O, Phojan N, Tan BA (2009) A hybrid push\u002Fpull system in assemble-to-order manufacturing environment. J Intell Manuf 20:379–387\nGupta D, Weerawat W (2006) Supplier–manufacturer coordination in capacitated two-stage supply chains. Eur J Oper Res 175:67–89\nHemmati S, Rabbani M (2010) Make-to-order\u002Fmake-to-stock partitioning decision using the analytic network process. Int J Adv Manuf Technol 48(5–8):801–813\nKalantari M, Rabbani M, Ebadian M (2011) A decision support system for order acceptance\u002Frejection in hybrid MTS\u002F MTO production systems. Appl Math Model 35(3):1363–1377\nKöber J, Heinecke G (2012) Hybrid production strategy between make-to-order and make-to- stock – a case study at a manufacturer of agricultural machinery with volatile and seasonal demand. Proc CIRP 3:453–458\nLu JC, Yang T, Su C-T (2012) Analysing optimum push\u002Fpull junction point location using multiple criteria decision-making for multistage stochastic production system. Int J Prod Res 50(19):5523–5537\nMorikawa K, Takahashi K, Hirotani D (2014) Make-to-stock policies for a multi stage serial system under a make-to-order production environment. Int J Prod Econ 147:30–37\nPerona M, Saccani N, Zanoni S (2009) Combining make-to-order and make-to-stock inventory policies: an empirical application to a manufacturing SME. Prod Plan Control 20(7):559–575\nRafiei H, Rabbani M (2012) Capacity coordination in hybrid MTS\u002FMTO production environment. Int J Prod Res 50(3):773–789\nSerwer A (2002) Dell does domination. Fortune Mag 145(2):70–75\nSharda B, Akiya N (2012) Selecting make-to-stock and postponement policies for different products in a chemical plant: a case study using discrete event simulation. Int J Prod Econ 136(1):161–171\nSoman CA, van Donk DP, Gaalman G (2004) Combined make-to-order and make-to-stock in a food production system. Int J Prod Econ 90:223–235\nSoman CA, van Donk DP, Gaalman G (2006) Comparison of dynamic scheduling policies for hybrid make-to-order and make-to-stock production systems with stochastic demand. Int J Prod Econ 104(2):441–453\nSox CR, Thomas LJ, McClain JO (1997) Coordinating production and inventory to improve service. Manag Sci 43(9):1189–1197\nZaerpour N, Rabbani M, Gharegozli AH, Tavakkoli-Moghaddam R (2009) A comprehensive decision making structure for partitioning of make-to-order, make-to-stock and hybrid products. Soft Comput 13(11):1035–1054\nZhang ZG, Kim I, Springer M, Cai G, Yu Y (2013) Dynamic pooling of make-to-stock and make-to-order operations. Int J Prod Econ 144:44–56\nWilliams TM (1984) Special products and uncertainty in production\u002Finventory systems. Eur J Oper Res 15(1):46–54",{"EN":1242},"A manufacturing system composed by several stages in serial system is considered. Each stage can produce several types of products from a semi-finished product. At each stage, a production control strategy is performed to release MTO and MTS orders. The MTS orders try to reduce the lead times and increase the service level for the customers. This research proposes MTS control policies observing the customer demand with higher service level reducing the stock level of the buffers at each stage. A simulation environment based on multi-domain methodology has been developed to test the proposed approach compared to policies proposed in literature. The numerical results are obtained for different levels of customer demand, fluctuations of the product type requested, and the reliability of the production system. The main results show how the proposed approach leads to better results both for service level and reduce the MTS level in all conditions tested.",{"EN":1244},"Production control policies for a multistage serial system under MTO-MTS production 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P, Tarafdar D, Pal SK, Saha P, Srivastava A K, Das K (2009) Modeling of wire electro-discharge machining of TiC\u002FFe in situ metal matrix composite using normalized RBFN with enhanced k-means clustering technique. Int J Adv Manuf Technol 43(1–2):107–116\nNahme H, Lach E, Tarran A (2009) Mechanical property under high dynamic loading and microstructure evaluation of TiB2 particle-reinforced stainless steel. J Mater Sci 44:463–468\nTjong SC, Lau KC (2000) Abrasion resistance of stainless-steel composites reinforced with hard TiB2 particle. Combust Sci Technol 60:1141–1146\nRozenek M, Kozak J, Dabrowski L, Lubkowski K (2001) Electrical discharge machining characteristics of metal matrix composites. J Mater Process Technol 109:367–370\nCogun C (1990) A technique and its application for evaluation of materials contributions in electric discharge machining. Int J Mach Tools Manuf 30(1):19–31\nRamulu M, Taya M (1989) EDM machining of SiC w \u002FAl composite. J Mater Sci 24:1103–1108\nHung NP, Yang IJ, Leong K W (1994) Electrical discharge machining of cast metal matrix composites. J Mater Process Technol 41:229–236\nHocheng H, Lei WI, Hsu HS (1997) Preliminary study of material removal in electric discharge machining of SiC\u002FAl. J Mater Process Technol 63:813–818\nKarthikeyan R, Lakshmi Narayanan P R, Naagarazan RS (1999) Mathematical modeling for electric discharge machining of aluminium–silicon carbide particulate composites. J Mater Process Technol 87:59–63\nRamulu M, Paul G, Patel J (2001) EDM surface effects on fatigue strength of 15 vol.% SiC p \u002FAl metal matrix composite material. Compos Struct 54:79–86\nMohan B, Rajadurai A, Satyanarayana KG (2002) Effect of SiC and rotation of electrode on electric discharge machining of Al-SiC composite. J Mater Process Technol 124:297–304\nNarender Singh P, Raghukandan K, Pai BC (2004) Optimization by Grey relational of EDM parameters on machining Al–10%SiC p composites. J Mater Process Technol 155–156:1658–1661\nMohan B, Rajadurai A, Satyanarayana KG (2004) Electric discharge machining of Al–SiC metal matrix composites using rotary tube electrode. J Mater Process Technol 153–154:978–985\nSeo YW, Kim D, Ramulu M (2006) Electrical discharge machining of functionally graded 15–35 vol.% SiC p \u002FAl composites. Mater Manuf Process 21:479–487\nDhar S, Purohit R, Saini N, Sharma A, Hemath Kumar G (2007) Mathematical modeling of electric discharge machining of cast Al–4Cu–6Si alloy–10 wt.% SiC p composites. J Mater Process Technol 194:24–29\nRiaz Ahamed A, Asokan P, Aravindan S (2009) EDM of hybrid Al–SiC p -B4 C p and Al–SiC p –Glass p MMCs. Int J Adv Manuf Technol 44:520–528\nManna AA, Bhattacharyya B (2006) Taguchi and Gauss elimination method: a dual response approach for parametric optimization of CNC wire cut EDM of PR AlSiC MMC. Int J Adv Manuf Technol 28:67–75\nPatil NG, Brahmankar PK (2010) Some studies into wire electro-discharge machining of alumina particulate reinforced aluminium matrix composites. Int J Adv Manuf Technol 48(5):537–555\nPatil NG, Brahmankar PK (2010) On the response surface modeling of wire electrical discharge machining of Al\u002FSiC p Metal Matrix Composites (MMCs). Journal of Machining and Forming Technologies 2(1\u002F2):47–70\nPatil NG, Brahmankar PK (2010) Determination of material removal rate in wire electro-discharge machining of metal matrix composites using dimensional analysis. Int J Adv Manuf Technol 51(5):599–610\nKunieda M, Lauwers B, Rajurkar KP, Schumacher BM (2005) Advancing EDM through Fundamental Insight into the Process. CIRP Ann Manuf Technol 54(2):64–87\nKruth JP (1979) Adaptive Control Optimization of Electro-Discharge Machining, Ph.D. thesis 79D3, ME Dept., K. U Leuven\nSnoeys R, Dauw D, Kruth JP (1980) Improved adaptive control system for EDM processes. CIRP Ann 29(1):97–101\nFrohn-Villeneuve L, Curodeau A (2013) Dry die-sinking EDM with mouldable graphite-polymer electrode investigation of process parameters and pulse identification methods. Int J Adv Manuf Technol 65:1125–1139\nWei C, Zhao L, Hu D, Ni J (2013) Electrical discharge machining of ceramic matrix composites with ceramic fiber reinforcements. Int J Adv Manuf Technol 64:187–194\nDescoeudres A (2006) Characterization of Electrical Discharge Machining Plasmas, Ph.D. thesis 3542, Center for Research in Physics and Plasmas, cole Polytechnique Fderal de Lausanne\nHaykin S (1994) Neural networks, a comprehensive foundation. McMillian College Publishing Company, New York\nKao JY, Tarng YS (1997) A neutral-network approach for the on-line monitoring of the electrical discharge machining process. J Mater Process Technol 69:112–119\nTsai KM, Wang PJ (2001) Comparisons of neural network models on material Removal rate in electrical discharge machining. J Mater Process Technol 117:111–124\nMarkopoulos AP, Manolakos DE, Vaxevanidis NM (2008) Artificial neural network models for the prediction of surface roughness in electrical discharge machining. J Intell Manuf 19:283– 292\nAssarzadeh S, Ghoreishi M (2008) Neural-network-based modeling and optimization of the electro-discharge machining process. Int J Adv Manuf Technol 39:488–500\nFausett L (1994) Fundamentals of neural networks: architectures, algorithms, and applications. Prentice-Hall, Englewood Cliffs\nPandey AB, Brahmankar PK, Purohit HS (2010) Experimental Determination of Parameters to Avoid Arcing in Electrical Discharge Machining of Titanium Diboride Particulate Reinforced Ferrous Matrix Composite, ASME Conference Proceedings (IMECE2010), 993. doi:10.1115\u002FIMECE2010-39886\nGarg RK, Singh KK, Sachdeva A, Sharma VS, Ojha K, Singh S (2010) Review of research work in sinking EDM and WEDM on metal matrix composite materials. Int J Adv Manuf Technol 50:611–624\nHo KH, Newman ST (2003) State of the art electrical discharge machining (EDM). Int J Mach Tools Manuf 43:1287–1300",{"EN":1310},"Electrical Discharge Machining (EDM) is very popular for machining conductive metal matrix composites (MMCs) because the hardness rendered by the ceramic reinforcements to these composites causes very high tool wear and cutting forces in conventional machining processes. EDM requires selection of a number of parameters for desirable results. Inappropriate parameter selection can lead to high overcuts, tool wear, excessive roughness, and arcing during machining and adversely affect machining quality. Arcing leads to short circuit gap conditions resulting in large energy discharges and uncontrolled machining. Arcing is a detrimental phenomenon in EDM which causes spoiling of workpiece and tool electrode and tends to damage the power supply of EDM machine. Parameter combinations that lead to arcing during machining have to be identified and avoided for every tool, work material, and dielectric combination. Proper selection of parameter combinations to avoid arcing is essential in EDM. In the work, experiments were conducted using L27 design of experiment to determine the parameter settings which cause arcing in EDM machining of TiB2p reinforced ferrous matrix composite. Important EDM process parameters were selected in roughing, intermediate, and finishing range so as to study the occurrence of arcing. Using the experimental data, an artificial neural network (ANN) model was developed as a tool to predict the possibility of arcing for selected parameter combinations. This model can help avoid the parameter combinations which can lead to arcing during actual machining using EDM. The ANN model was validated by conducting validation experiments to ensure that it can work accurately as a predicting tool to know beforehand whether the selected parameters will lead to arcing during actual machining using EDM. Validation results show that the ANN model developed can predict arcing possibility accurately when the depth of machining is included as input variable for the model.",{"EN":1312},"A method to predict possibility of arcing in EDM of TiB2p reinforced ferrous matrix composite",{"VOID":1314},"10.1007\u002Fs00170-016-8414-x","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs00170-016-8414-x",[1317,1332],{"id":1318,"sortIndex":150,"researcher":20,"roles":1319,"affiliations":1320,"properties":1329},"c6fea38e-206b-429d-a8dc-6f3be25260bd",[288],[1321],{"id":20,"sortIndex":21,"affiliation":1322,"properties":20},{"id":1323,"createTime":1324,"updateTime":1324,"relativeEntities":1325,"slug":20,"properties":1326,"entityType":73,"verifyStatus":19,"verifyTime":20,"verifyNote":20,"syncStatus":19,"languages":20,"translateLanguages":20,"viewCount":21},"be639ca3-97e5-48bf-9776-2396742e3f00","2023-12-27T02:16:28.443+00:00",[],{"title":1327},{"VI":1328},"Department of Mechanical Engineering, Dr. Babasaheb Ambedkar Technological University, Raigad, India",{"title":1330},{"VI":1331},"P. 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