Extending the capability of component digital threads using material passports

Zheng, 2021, The applications of industry 4.0 technologies in manufacturing context: A systematic literature review, Int J Prod Res, 59, 1922, 10.1080/00207543.2020.1824085 Grieves, 2014, Digital twin: Manufacturing excellence through virtual factory replication, White Pap, 1, 1 Barricelli, 2019, A survey on digital twin: Definitions, characteristics, applications, and design implications, IEEE Access, 7, 167653, 10.1109/ACCESS.2019.2953499 Chen, 2020, Digital twins in pharmaceutical and biopharmaceutical manufacturing: A literature review, Processes, 8, 1088, 10.3390/pr8091088 Hou, 2020, Literature review of digital twins applications in construction workforce safety, Appl Sci, 11, 339, 10.3390/app11010339 Pylianidis, 2021, Introducing digital twins to agriculture, Comput Electron Agric, 184, 10.1016/j.compag.2020.105942 Kochunas, 2021, Digital twin concepts with uncertainty for nuclear power applications, Energies, 14, 4235, 10.3390/en14144235 Laamarti, 2020, An ISO/IEEE 11073 standardized digital twin framework for health and well-being in smart cities, IEEE Access, 8, 105950, 10.1109/ACCESS.2020.2999871 Piromalis, 2022, Digital twins in the automotive industry: The road toward physical-digital convergence, Appl Syst Innov, 5, 65, 10.3390/asi5040065 Errandonea, 2020, Digital twin for maintenance: A literature review, Comput Ind, 123, 10.1016/j.compind.2020.103316 Liu, 2021, Review of digital twin about concepts, technologies, and industrial applications, J Manuf Syst, 58, 346, 10.1016/j.jmsy.2020.06.017 Wagg, 2020, Digital twins: State-of-the-art and future directions for modeling and simulation in engineering dynamics applications, ASCE-ASME J Risk Uncert Engrg Sys Part B Mech Engrg, 6, 10.1115/1.4046739 Autiosalo, 2019, A feature-based framework for structuring industrial digital twins, IEEE Access, 8, 1193, 10.1109/ACCESS.2019.2950507 Tuegel EJ, Kobryn P, Zweber JV, Kolonay RM. Digital thread and twin for systems engineering: Design to retirement. In: 55th AIAA aerospace sciences meeting. 2017, p. 0876. Lo, 2021, A review of digital twin in product design and development, Adv Eng Inform, 48, 10.1016/j.aei.2021.101297 Tao, 2018, Digital twin in industry: State-of-the-art, IEEE Trans Ind Inf, 15, 2405, 10.1109/TII.2018.2873186 Liu, 2020, Digital twin-enabled collaborative data management for metal additive manufacturing systems, J Manuf Syst Gopalakrishnan, 2021, Integrating materials model-based definitions into design, manufacturing, and sustainment: A digital twin demonstration of incorporating residual stresses in the lifecycle analysis of a turbine disk, J Comput Inf Sci Eng, 21, 10.1115/1.4048426 Aguilar Esteva, 2021, Circular economy framework for automobiles: Closing energy and material loops, J Ind Ecol, 25, 877, 10.1111/jiec.13088 Yu, 2022, Circular economy practices and industry 4.0 technologies: A strategic move of automobile industry, Bus Strategy Environ, 31, 796, 10.1002/bse.2918 Luscuere, 2017, Materials passports: Optimising value recovery from materials, 25 Schützenhofer, 2020, Design optimisation via BIM supported material passports, ECAADe 2020 Anthropol - Archit Fabr Cogn Age, 1, 10.52842/conf.ecaade.2020.1.289 Honic, 2019, Improving the recycling potential of buildings through material passports (MP): An Austrian case study, J Clean Prod, 217, 787, 10.1016/j.jclepro.2019.01.212 Kedir F, Bucher DF, Hall DM. A Proposed Material Passport Ontology to Enable Circularity for Industrialized Construction. In: Proceedings of the 2021 european conference on computing in construction. Rhodes, Greece; 2021, p. 25–7. Hansen, 2012, Resource re-pletion. Role of buildings. Introducing nutrient certificates aka materials passports as a counterpart to emissions trading schemes Berger, 2022, Digital battery passports to enable circular and sustainable value chains: Conceptualization and use cases, J Clean Prod, 10.1016/j.jclepro.2022.131492 Honic, 2019, Concept for a BIM-based material passport for buildings, IOP Conf Ser Earth Environ Sci, 225, 10.1088/1755-1315/225/1/012073 Gligoric, 2019, Smarttags: IoT product passport for circular economy based on printed sensors and unique item-level identifiers, Sensors, 19, 586, 10.3390/s19030586 Conde, 2021, Modeling digital twin data and architecture: A building guide with FIWARE as enabling technology, IEEE Internet Comput Jacoby, 2021, An approach for realizing hybrid digital twins using asset administration shells and Apache StreamPipes, Information, 12, 217, 10.3390/info12060217 Steindl, 2020, Generic digital twin architecture for industrial energy systems, Appl Sci, 10, 8903, 10.3390/app10248903 Cogswell, 2022, Guidance for materials 4.0 to interact with a digital twin, Data-Centric Eng, 3, 10.1017/dce.2022.23 Furrer, 2017, Making the case for a model-based definition of engineering materials, Integr Mater Manuf Innov, 6, 249, 10.1007/s40192-017-0102-7 Singh, 2018, Engineering design with digital thread, AIAA J, 56, 4515, 10.2514/1.J057255 Gopalakrishnan, 2020, Model-based feature information network (MFIN): A digital twin framework to integrate location-specific material behavior within component design, manufacturing, and performance analysis, Integr Mater Manuf Innov, 9, 394, 10.1007/s40192-020-00190-4 Reifsnider K, Majumdar P. Multiphysics stimulated simulation digital twin methods for fleet management. In: 54th AIAA/ASME/ASCE/AHS/ASC structures, structural dynamics, and materials conference. 2013, p. 1578. Bylya, 2015, Simulation of the material softening during hot metal forming, Arch Metall Mater, 60, 1887, 10.1515/amm-2015-0322 Lalvani, 2022, A solid-state joining approach to manufacture of transition joints for high integrity applications, J Manuf Process, 73, 90, 10.1016/j.jmapro.2021.10.058 Majumdar PK, FaisalHaider M, Reifsnider K. Multi-physics response of structural composites and framework for modeling using material geometry. In: 54th AIAA/ASME/ASCE/AHS/ASC structures, structural dynamics, and materials conference. 2013, p. 1577. Tuegel, 2011, Reengineering aircraft structural life prediction using a digital twin, Int J Aerospace Eng, 2011, 10.1155/2011/154798 Gunasegaram, 2021, Towards developing multiscale-multiphysics models and their surrogates for digital twins of metal additive manufacturing, Addit Manuf, 46 Gopalakrishnan, 2022, A framework to enable microstructure-sensitive location-specific fatigue life analysis of components and connectivity to the product lifecycle, Int J Fatigue, 165, 10.1016/j.ijfatigue.2022.107211 Xiang, 2019, Digital twin driven green material optimal-selection towards sustainable manufacturing, Procedia Cirp, 81, 1290, 10.1016/j.procir.2019.04.015 Patnaik, 2018, Linking MRO to prognosis based health management through physics-of-failures understanding Groen, 2018, Product shape change by internal stresses, Mater Des, 157, 492, 10.1016/j.matdes.2018.08.013 Rajesh, 2019, Digital twin of an automotive brake pad for predictive maintenance, Procedia Comput Sci, 165, 18, 10.1016/j.procs.2020.01.061 Bazilevs, 2015, Isogeometric fatigue damage prediction in large-scale composite structures driven by dynamic sensor data, J Appl Mech, 82, 10.1115/1.4030795 Bielefeldt, 2015, Computationally efficient analysis of SMA sensory particles embedded in complex aerostructures using a substructure approach Gockel B, Tudor A, Brandyberry M, Penmetsa R, Tuegel E. Challenges with structural life forecasting using realistic mission profiles. In: 53rd AIAA/ASME/ASCE/AHS/ASC structures, structural dynamics and materials conference 20th AIAA/ASME/AHS adaptive structures conference 14th AIAA. 2012, p. 1813. Yeratapally, 2020, A digital twin feasibility study (Part I): Non-deterministic predictions of fatigue life in aluminum alloy 7075-T651 using a microstructure-based multi-scale model, Eng Fract Mech, 228, 10.1016/j.engfracmech.2020.106888 Xu, 2022, A multi-scale approach to microstructure-sensitive thermal fatigue in solder joints, Int J Plast, 10.1016/j.ijplas.2022.103308 Hashemi, 2022, Computational modelling of process–structure–property–performance relationships in metal additive manufacturing: A review, Int Mater Rev, 67, 1, 10.1080/09506608.2020.1868889 Zhou, 2022, Real-time prediction of probabilistic crack growth with a helicopter component digital twin, AIAA J, 1 Fang, 2022, Fatigue crack growth prediction method for offshore platform based on digital twin, Ocean Eng, 244, 10.1016/j.oceaneng.2021.110320 Boiler, 1998 Adisorn, 2021, Towards a digital product passport fit for contributing to a circular economy, Energies, 14, 2289, 10.3390/en14082289 Plociennik, 2022, Towards a digital lifecycle passport for the circular economy, Procedia CIRP, 105, 122, 10.1016/j.procir.2022.02.021 Donetskaya, 2021, Development of requirements for the content of a digital passport and design solutions, J Phys Conf Ser, 1828, 10.1088/1742-6596/1828/1/012102 Portillo-Barco, 2015, Data requirements and assessment of technologies enabling a product passport within products exposed to Harsh environments: A case study of a high pressure nozzle guide vane, Int J Prod Lifecycle Manag, 8, 253, 10.1504/IJPLM.2015.074145 Sola, 2021, How can we provide additively manufactured parts with a fingerprint? A review of tagging strategies in additive manufacturing, Materials, 15, 85, 10.3390/ma15010085 Hermann, 2016, Design principles for industrie 4.0 scenarios, 3928 Hedberg, 2016, Testing the digital thread in support of model-based manufacturing and inspection, J Comput Inf Sci Eng, 16, 10.1115/1.4032697 Tao, 2019, Five-dimension digital twin modeling and its key technologies, Digit Twin Driven Smart Manuf, 63, 10.1016/B978-0-12-817630-6.00003-5 Hedberg, 2017, Toward a lifecycle information framework and technology in manufacturing, J Comput Inf Sci Eng, 17, 10.1115/1.4034132 Damjanovic-Behrendt, 2019, An open source approach to the design and implementation of digital twins for smart manufacturing, Int J Comput Integr Manuf, 32, 366, 10.1080/0951192X.2019.1599436 Siedlak, 2014, A methodology for the parametric exploration of the impact of production planning on the early stages of design Siedlak, 2018, A digital thread approach to support manufacturing-influenced conceptual aircraft design, Res Eng Des, 29, 285, 10.1007/s00163-017-0269-0 Jacoby, 2020, Digital twin and internet of things—Current standards landscape, Appl Sci, 10, 6519, 10.3390/app10186519 Kwon, 2020, Enriching standards-based digital thread by fusing as-designed and as-inspected data using knowledge graphs, Adv Eng Inform, 46, 10.1016/j.aei.2020.101102 Sarigecili, 2014, Interpreting the semantics of GD&T specifications of a product for tolerance analysis, Comput Aided Des, 47, 72, 10.1016/j.cad.2013.09.002 Trainer, 2016, Gaps analysis of integrating product design, manufacturing, and quality data in the supply chain using model-based defintion Ameri, 2012, Digital manufacturing market: A semantic web-based framework for agile supply chain deployment, J Intell Manuf, 23, 1817, 10.1007/s10845-010-0495-z Khilwani, 2009, Semantic web in manufacturing, Proc Inst Mech Eng B, 223, 905, 10.1243/09544054JEM1399 Zhang, 2015, A survey on knowledge representation in materials science and engineering: An ontological perspective, Comput Ind, 73, 8, 10.1016/j.compind.2015.07.005 Zhao, 2017, Ontology based heterogeneous materials database integration and semantic query, AIP Adv, 7, 10.1063/1.4999209 Voigt, 2021, Materials graph ontology, Mater Lett, 295, 10.1016/j.matlet.2021.129836