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Keywords: deep learning
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Journal Articles
Publisher: ASME
Article Type: Review Articles
J. Mech. Des. April 2023, 145(4): 041401.
Paper No: MD-22-1463
Published Online: January 10, 2023
... paramount aspects. When applying deep learning-based methods to product shape design, two major challenges exist: (1) design data exhibit in multiple modalities and (2) an increasing demand for creativity. With recent advances in deep learning of cross-modal tasks (DLCMTs), which can transfer one design...
Journal Articles
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. October 2022, 144(10): 101701.
Paper No: MD-21-1625
Published Online: June 13, 2022
...Yuyang Wang; Joe Joseph; T. P. Aniruddhan Unni; Soji Yamakawa; Amir Barati Farimani; Kenji Shimada Design and optimization of hull shapes for optimal hydrodynamic performance have been a major challenge for naval architectures. Deep learning bears the promise of comprehensive geometric...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. February 2022, 144(2): 021404.
Paper No: MD-21-1227
Published Online: October 11, 2021
... 2021 22 09 2021 11 10 2021 decision making complex action spaces imitation learning design automation deep learning action prediction artificial intelligence machine learning Defense Advanced Research Projects Agency 10.13039/100000185 N66001-17-1-4064...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. August 2021, 143(8): 081706.
Paper No: MD-20-1466
Published Online: March 18, 2021
... beneficial design patterns, strategies, and heuristics, which are essential to the development of new algorithms embedded with human intelligence to augment the computational design. In this paper, we develop a deep learning-based approach to model and predict designers’ sequential decisions in the systems...
Topics: Design
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. March 2021, 143(3): 031702.
Paper No: MD-20-1043
Published Online: November 10, 2020
... learning utilizes a layered structure of algorithms to make informed decisions based on the knowledge learned from data. In recent years, deep learning techniques have been successfully applied in a variety of applications such as image processing [ 26 , 27 ], natural language processing [ 28 ], medical...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. March 2021, 143(3): 031703.
Paper No: MD-20-1313
Published Online: November 10, 2020
... of M echanical D esign . 18 05 2020 08 08 2020 22 08 2020 10 11 2020 design automation design optimization design representation generative design deep learning simulation-based design A designer wants good design solutions, which are creative and meet...
Topics: Design, Airfoils
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. December 2019, 141(12): 121402.
Paper No: MD-19-1152
Published Online: September 30, 2019
... perturbation to even a single position of a given motion can change the topology and dimensions of the synthesized mechanisms drastically. Thus, the synthesis becomes a blind iterative process of maneuvering precision positions in the hope of finding good solutions. In this paper, we present a deep-learning...
Topics: Linkages
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. November 2019, 141(11): 111401.
Paper No: MD-19-1165
Published Online: September 16, 2019
... optimization generative design multidisciplinary design and optimization deep learning deep reinforcement learning Expensive design explorations often arise in several engineering problems. Solving the inverse problems for the design of micro-structures [ 1 ], manufacturing processes [ 2...
Includes: Supplementary data
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. November 2019, 141(11): 111405.
Paper No: MD-19-1151
Published Online: September 16, 2019
...Sangeun Oh; Yongsu Jung; Seongsin Kim; Ikjin Lee; Namwoo Kang Deep learning has recently been applied to various research areas of design optimization. This study presents the need and effectiveness of adopting deep learning for generative design (or design exploration) research area. This work...
Journal Articles
Publisher: ASME
Article Type: Research-Article
J. Mech. Des. November 2018, 140(11): 111416.
Paper No: MD-18-1252
Published Online: October 1, 2018
... arbitrary sized microstructures. While the deep learning network is trained by setting the dimension of z as bs . × 4 × 4 × 1, one may modify the dimensionality of latent variables z to control the size of the generated images without retraining the model. Figure 9 illustrates the generated images...