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2021, Data-Driven Engineering Design, Springer International Publishing, http://dx.doi.org/10.1007/978-3-030-88181-8
,2020, Preface, http://dx.doi.org/10.1016/B978-0-12-818918-4.00016-6
,2021, 'Problem Definition', in Design Engineering and Science, pp. 167 - 189, http://dx.doi.org/10.1007/978-3-030-49232-8_5
,2020, 'Chapter 1 Digital twin driven smart product design framework', in Digital Twin Driven Smart Design, Elsevier, pp. 3 - 32, http://dx.doi.org/10.1016/b978-0-12-818918-4.00001-4
,2020, 'Chapter 2 Digital twin driven conceptual design', in Digital Twin Driven Smart Design, Elsevier, pp. 33 - 66, http://dx.doi.org/10.1016/b978-0-12-818918-4.00002-6
,2020, 'Chapter 3 Conceptual design driven digital twin configuration', in Digital Twin Driven Smart Design, Elsevier, pp. 67 - 107, http://dx.doi.org/10.1016/b978-0-12-818918-4.00003-8
,2020, 'Chapter 4 Digital twin driven virtual verification', in Digital Twin Driven Smart Design, Elsevier, pp. 109 - 138, http://dx.doi.org/10.1016/b978-0-12-818918-4.00004-x
,2020, 'Chapter 5 Digital twin driven design evaluation', in Digital Twin Driven Smart Design, Elsevier, pp. 139 - 164, http://dx.doi.org/10.1016/b978-0-12-818918-4.00005-1
,2020, 'Conceptual design driven digital twin configuration', in Digital Twin Driven Smart Design, Academic Press, http://dx.doi.org/10.1016/B978-0-12-818918-4.00003-8
,2020, 'Digital twin driven conceptual design', in Digital Twin Driven Smart Design, Academic Press, http://dx.doi.org/10.1016/B978-0-12-818918-4.00002-6
,2020, 'Digital twin driven design evaluation', in Digital Twin Driven Smart Design, Academic Press, http://dx.doi.org/10.1016/B978-0-12-818918-4.00005-1
,2020, 'Digital twin driven smart product design framework', in Digital Twin Driven Smart Design, Academic Press, http://dx.doi.org/10.1016/B978-0-12-818918-4.00001-4
,2020, 'Digital twin driven virtual verification', in Digital Twin Driven Smart Design, Academic Press, http://dx.doi.org/10.1016/B978-0-12-818918-4.00004-X
,2020, 'Preface', in Digital Twin Driven Smart Design, Elsevier, pp. xv - xvii, http://dx.doi.org/10.1016/b978-0-12-818918-4.00016-6
,Tao F; Liu A; Hu T; Nee A, (eds.), 2020, Digital Twin Driven Smart Design, http://dx.doi.org/10.1016/C2018-0-04250-4
2023, 'Tribological performance for an Mg alloy subjected to sliding at elevated temperatures: A comparison between Al
2023, 'Aggregate effect on the mechanical and fracture behaviours of concrete', International Journal of Mechanical Sciences, 243, http://dx.doi.org/10.1016/j.ijmecsci.2022.108067
,2023, 'Short-Term Cross-Sectional Time-Series Wear Prediction by Deep Learning Approaches', Journal of Computing and Information Science in Engineering, 23, http://dx.doi.org/10.1115/1.4054455
,2023, 'An embodied, analogical and disruptive approach of AI pedagogy in upper elementary education: An experimental study', British Journal of Educational Technology, http://dx.doi.org/10.1111/bjet.13371
,2023, 'ChatGPT for design, manufacturing, and education', Procedia CIRP, 119, pp. 7 - 14, http://dx.doi.org/10.1016/j.procir.2023.04.001
,2023, 'Collaborative construction of artificial intelligence curriculum in primary schools', Journal of Engineering Education, 112, pp. 23 - 42, http://dx.doi.org/10.1002/jee.20503
,2023, 'Effect of an Analogy-Based Approach of Artificial Intelligence Pedagogy in Upper Primary Schools', Journal of Educational Computing Research, http://dx.doi.org/10.1177/07356331231201342
,2023, 'Explainable AI for customer segmentation in product development', CIRP Annals, 72, pp. 89 - 92, http://dx.doi.org/10.1016/j.cirp.2023.03.004
,2023, 'Exploring the intersection of biology and design for product innovations', CIRP Annals, 72, pp. 569 - 592, http://dx.doi.org/10.1016/j.cirp.2023.05.004
,2022, 'A review of sampling, energy supply and intelligent monitoring for long-term sweat sensors', npj Flexible Electronics, 6, http://dx.doi.org/10.1038/s41528-022-00165-9
,2022, 'Tribological performance of silicone oil based Al
2022, 'Machine learning for engineering design toward smart customization: A systematic review', Journal of Manufacturing Systems, 65, pp. 391 - 405, http://dx.doi.org/10.1016/j.jmsy.2022.10.001
,2022, 'Fracture mechanisms of intact rock-like materials under compression', Computers and Geotechnics, 148, http://dx.doi.org/10.1016/j.compgeo.2022.104845
,2022, 'Numerical insights into the effect of ITZ and aggregate strength on concrete properties', Theoretical and Applied Fracture Mechanics, 120, http://dx.doi.org/10.1016/j.tafmec.2022.103415
,2022, 'A new discrete element model for rock-like materials', Computers and Structures, 261-262, http://dx.doi.org/10.1016/j.compstruc.2021.106730
,2022, 'Blockchain applications in PLM towards smart manufacturing', International Journal of Advanced Manufacturing Technology, 118, pp. 2669 - 2683, http://dx.doi.org/10.1007/s00170-021-07802-z
,2022, 'An Object-Oriented Approach to the Modular Design of Mechatronic Systems', IEEE Transactions on Engineering Management, http://dx.doi.org/10.1109/TEM.2022.3191438
,2022, 'Knowledge graph with machine learning for product design', CIRP Annals, 71, pp. 117 - 120, http://dx.doi.org/10.1016/j.cirp.2022.03.025
,2022, 'Digital twin data: methods and key technologies', Digital Twin, 1, pp. 2 - 2, http://dx.doi.org/10.12688/digitaltwin.17467.2
,2021, 'A design communication framework based on structured knowledge representation', IEEE Transactions on Engineering Management, 68, pp. 1650 - 1662, http://dx.doi.org/10.1109/TEM.2020.3002648
,2021, 'Digital twin data: methods and key technologies', Digital Twin, 1, pp. 2 - 2, http://dx.doi.org/10.12688/digitaltwin.17467.1
,2021, 'Artificial intelligence in product lifecycle management', International Journal of Advanced Manufacturing Technology, 114, pp. 771 - 796, http://dx.doi.org/10.1007/s00170-021-06882-1
,2021, 'Blockchain-based customization towards decentralized consensus on product requirement, quality, and price', Manufacturing Letters, 27, pp. 18 - 25, http://dx.doi.org/10.1016/j.mfglet.2020.12.001
,2021, 'Digital twin towards smart manufacturing and industry 4.0', Journal of Manufacturing Systems, 58, pp. 1 - 2, http://dx.doi.org/10.1016/j.jmsy.2020.12.005
,2021, 'Enabling technologies and tools for digital twin', Journal of Manufacturing Systems, 58, pp. 3 - 21, http://dx.doi.org/10.1016/j.jmsy.2019.10.001
,2021, 'New Paradigm of Data-Driven Smart Customisation through Digital Twin', Journal of Manufacturing Systems, 58, pp. 270 - 280, http://dx.doi.org/10.1016/j.jmsy.2020.07.023
,2021, 'Privacy-preserving design of smart products through federated learning', CIRP Annals, 70, pp. 103 - 106, http://dx.doi.org/10.1016/j.cirp.2021.04.022
,2021, 'System modelling and analysis to support economic assessment of product-service systems', Systems, 9, pp. 1 - 17, http://dx.doi.org/10.3390/systems9010006
,2021, 'Digital twin-driven complexity management in intelligent manufacturing', , http://dx.doi.org/10.12688/digitaltwin.17489.1
,2021, 'Inaugural Editorial - Digital Twin', , http://dx.doi.org/10.12688/digitaltwin.17471.1
,2020, 'Functional design framework for innovative design thinking in product development', CIRP Journal of Manufacturing Science and Technology, 30, pp. 105 - 117, http://dx.doi.org/10.1016/j.cirpj.2020.04.008
,2019, 'Blockchain-Based Trust Mechanism for IoT-Based Smart Manufacturing System', IEEE Transactions on Computational Social Systems, 6, pp. 1386 - 1394, http://dx.doi.org/10.1109/TCSS.2019.2918467
,2019, 'Product family flexibility design method based on hybrid adaptive ant colony algorithm', Soft Computing, 23, pp. 10509 - 10520, http://dx.doi.org/10.1007/s00500-018-3622-y
,2019, 'Biologically Inspired Design of Context-Aware Smart Products', Engineering, 5, pp. 637 - 645, http://dx.doi.org/10.1016/j.eng.2019.06.005
,2019, 'Digital twin-driven product design framework', International Journal of Production Research, 57, pp. 3935 - 3953, http://dx.doi.org/10.1080/00207543.2018.1443229
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