... by the Design Theory and Methodology Committee of ASME for publication in the J ournal of M echanical D esign . 03 06 2024 04 01 2025 06 01 2025 10 01 2025 agent-based design artificial intelligence bio-inspired design conceptual design creativity and concept generation...

... and FPNs of users with performance comparable to that of human designers, suggesting a promising avenue for enhancing the scalability of empathic design approaches through the integration of advanced artificial intelligence technologies. This work has the potential to significantly augment the toolkit...

... 10 12 2024 12 12 2024 19 12 2024 Email: yunjian.qiu@sjsu.edu Email: yjin@usc.edu artificial intelligence conceptual design creativity and concept generation Data-driven design design methodology design process design representation design theory and methodology...

...@zju.edu.cn artificial intelligence conceptual design creativity and concept generation Journal of Mechanical Design. Received April 30, 2024; Accepted manuscript posted December 12, 2024. doi:10.1115/1.4067426 Copyright © 2024 by ASME Accepted Manuscript Not Copyedited StepIdeator: Utilizing Mixed...

...@utdallas.edu condition monitoring operation and maintenance wind turbine generator interturn short-circuit fault fault diagnosis artificial intelligence data-driven design References [1] Wiser , R. , Bolinger , M. , Hoen , B. , Millstein , D. , Rand , J...

... of ASME for publication in the J ournal of M echanical D esign . 03 04 2024 18 11 2024 01 12 2024 06 12 2024 artificial intelligence collaborative design conceptual design Data-driven design design representation metamodeling National Natural Science...

...Seongjun Hong; Yongmin Kwon; Dongju Shin; Jangseop Park; Namwoo Kang Recent advances in artificial intelligence (AI) have impacted various fields, including mechanical engineering. However, the development of diverse, high-quality datasets for structural analysis remains a challenge. Traditional...

... artificial intelligence computer-aided engineering data-driven design design for manufacturing design process machine learning simulation-based design References [1] Rankin , J. J. , and Ott , D. A. , 1992 , “ The Open Approach to FEA Integration in the Design Process...

... Committee of ASME for publication in the J ournal of M echanical D esign . 21 04 2024 02 09 2024 09 09 2024 18 11 2024 Graphical Abstract Figure artificial intelligence computational geometry design automation design representation generative design...

... artificial intelligence computational kinematics computer-aided engineering data-driven design generative design linkages mechanism synthesis Path-generating linkage mechanisms are fundamental in mechanical design due to their ability to translate rotational or linear input into specific...

... Abstract Figure surrogate modeling image-based surrogates deep neural networks dimensionality reduction artificial intelligence data-driven design machine learning robust design uncertainty modeling Office of Energy Efficiency and Renewable Energy 10.13039/100006134 DE...

... ournal of M echanical D esign . 20 05 2024 23 08 2024 26 08 2024 23 09 2024 Graphical Abstract Figure CAE model bias correction CycleGAN transfer learning data augmentation artificial intelligence computer-aided engineering design automation...

.... , De Bie , T. , and Flach , P. , 2020 , “ Face: Feasible and Actionable Counterfactual Explanations ,” AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society , New York , Feb. 7–8 , pp. 344 – 350 . [13] Dandl , S. , Molnar , C. , Binder , M. , and Bischl...

...Mostaan Lotfalian Saremi; Isabella Ziv; Onur Asan; Alparslan Emrah Bayrak Intelligent systems have been rapidly evolving and play a pivotal role in assisting individuals across diverse domains, from healthcare to transportation. Understanding the dynamics of human–artificial intelligence (AI...

...Xiaoneng Jin; Hua Dong; Mark Evans; Anqi Yao Artificial intelligence (AI) has the potential to revolutionize product design, and designers need to know how to best leverage its capabilities. Based on the concept–knowledge (C-K) theory, a set of inspirational stimuli (IS) for the design of AI...

... constrained multi-objective optimization robustness metrics computational efficiency artificial intelligence data-driven design design automation design for manufacturing design integration design of multiscale systems design optimization machine learning metamodeling Designing...

...Binyang Song; Chenyang Yuan; Frank Permenter; Nikos Arechiga; Faez Ahmed Generative artificial intelligence (AI) models have made significant progress in automating the creation of 3D shapes, which has the potential to transform car design. In engineering design and optimization, evaluating...

... problem. artificial intelligence design methodology design optimization machine learning metamodeling multi-objective optimization systems design Group behavior is widespread with phenomena like ant colonies, fish swarms, bird flights, and so on. The industry has been inspired...

...Leah Chong; Kenneth Kotovsky; Jonathan Cagan As artificial intelligence (AI) systems become increasingly capable of performing design tasks, they are expected to be deployed to assist human designers' decision-making in a greater variety of ways. For complex design problems such as those...

... 05 03 2024 Graphical Abstract Figure multi-fidelity surrogate neural network machine learning mapping model different input spaces artificial intelligence computer-aided engineering metamodeling Output data from engineering systems, whether observed or predicted...