...Jice Zeng; Zhenyan Gao; Yang Li; Saeed Barbat; Jin Lu; Zhen Hu Computer-aided engineering (CAE) models play a pivotal role in predicting crashworthiness of vehicle designs. While CAE models continue to advance in fidelity and accuracy, an inherent discrepancy between CAE model predictions...

... structural topology graph neural network GNN design space computer-aided engineering conceptual design data-driven design design evaluation design validation References [1] Silver , D. , Huang , A. , Maddison , C. J. , Guez , A. , Sifre , L. , Van Den...

... 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...

... profile planning unmanned surface vessel artificial intelligence computer-aided engineering design optimization multi-objective optimization reliability in design uncertainty analysis uncertainty modeling Office of Naval Research 10.13039/100000006 N000142212459 Unmanned...

... potential solutions. product design CAD/CAM/CAE innovations service-oriented design cloud-based design and manufacturing cognitive-based design collaborative design computer-aided design computer-aided engineering product development 10 07 2022 20 11 2022 23 11 2022 21...

... Automation Committee of ASME for publication in the J ournal of M echanical D esign . 14 12 2021 18 05 2022 20 05 2022 17 10 2022 computer-aided manufacturing design computer-aided design computer-aided engineering design automation design optimization generative design...

...@imperial.ac.uk Contributed by the Design Automation Committee of ASME for publication in the J ournal of M echanical D esign . 23 04 2021 18 08 2021 20 08 2021 21 09 2021 computer-aided engineering data-driven design design automation design theory and methodology energy...

... management uncertainty management knowledge management computer-aided engineering design for manufacturing design representation uncertainty modeling A decade ago, the need for disruptive change in the manufacturing sector emerged, driven by the need to meet customers’ individual requirements...

... Committee of ASME for publication in the J ournal of M echanical D esign . 15 04 2020 10 08 2020 19 08 2020 13 11 2020 artificial intelligence computer-aided engineering machine learning simulation-based design Fig. 3 Plot showing training and validation losses...

... by the Power Transmission and Gearing Committee of ASME for publication in the J ournal of M echanical D esign . 08 04 2020 14 07 2020 17 07 2020 28 10 2020 contact locating error fluid algebra computer-aided engineering design for assembly Part mating gaps...

... major weakness is that the efficiency of a TEG has been somewhat low, which, to a large extent, impedes the broader application of such technology into different fields [ 8 ]. computer-aided engineering conceptual design design optimization thermoelectric generator 01 08 2019 07...

... echanical D esign . 13 01 2020 07 05 2020 13 05 2020 24 07 2020 computational geometry computer-aided engineering conceptual design design automation Geometry and material are two essential factors of the structural design. Compared with single material structures...

... D esign . 05 12 2019 25 03 2020 28 03 2020 01 04 2020 lattice structure unit-cell library design optimization topology optimization computer-aided design computer-aided engineering Significant advance in additive manufacturing (AM) is leading to a paradigm...

...@vt.edu Contributed by the Design Automation Committee of ASME for publication in the J ournal of M echanical D esign . 02 08 2019 13 12 2019 19 12 2019 20 12 2019 microstructure multi-scale design optimization computer-aided design computer-aided engineering...

... 18 10 2019 computer-aided engineering design of machine elements gear design wind energy Planets in planetary gearboxes have a unique deformation behavior because of them simultaneously meshing with the sun gear and the ring gear. There are mutual influences between...

... 03 2019 10 07 2019 12 07 2019 01 08 2019 machine learning multi-fidelity model physics-constrained neural networks materials modeling partial differential equations computer-aided engineering simulation-based design Machine learning (ML) tools, exemplified...

... Email: soumiks@iastate.edu Contributed by the Design Automation Committee of ASME for publication in the J ournal of M echanical D esign . 01 03 2019 16 07 2019 30 07 2019 01 08 2019 computer-aided engineering design automation design methodology design...

... March 23, 2018; final manuscript received June 21, 2018; published online September 12, 2018. Assoc. Editor: Andres Tovar. 23 03 2018 21 06 2018 Computer-aided design computer-aided engineering Design for manufacturing Periodic lattice structures exhibit efficient material...

... 02 2018 11 07 2018 Computer-aided engineering Design for manufacturing Design methodology Design optimization Design theory Design theory Multidisciplinary design Simulation-based design Stress in design Design methodology Optimization The structure of pomelo peel...

... with dissimilar materials. These ingredients facilitate treatment of the multi-material case. Our formulation can be readily extended to any number of materials. We demonstrate our method with several numerical examples. 11 12 2017 18 06 2018 Computer-aided design computer-aided engineering...