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Keywords: machine learning
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Journal Articles
Accepted Manuscript
Article Type: Research Papers
J. Mech. Des.
Paper No: MD-21-1733
Published Online: May 9, 2022
... in the J ournal of M echanical D esign . 01 12 2021 28 04 2022 04 05 2022 09 05 2022 Machine learning metamodeling uncertainty modeling National Aeronautics and Space Administration 10.13039/100000104 80NSSC21K1809 Accepted Manuscript Not Copyedited...
Journal Articles
Article Type: Research Papers
J. Mech. Des. August 2022, 144(8): 081401.
Paper No: MD-21-1197
Published Online: April 29, 2022
.... Des. , 132 ( 9 ), p. 091005 . 10.1115/1.4002152 [38] Wisthoff , A. , Ferrero , V. , Huynh , T. , and DuPont , B. , 2016 , “ Quantifying the Impact of Sustainable Product Design Decisions in the Early Design Phase Through Machine Learning ,” Volume 4: 21st Design...
Journal Articles
Article Type: Research Papers
J. Mech. Des. August 2022, 144(8): 081703.
Paper No: MD-21-1637
Published Online: April 8, 2022
... theory and methodology machine learning uncertainty analysis References [1] Mavris , D. , and DeLaurentis , D. , 2000 , “ Methodology for Examining the Simultaneous Impact of Requirements, Vehicle Characteristics, and Technologies on Military Aircraft Design ,” ICAS...
Journal Articles
Article Type: Research Papers
J. Mech. Des. July 2022, 144(7): 071705.
Paper No: MD-21-1136
Published Online: March 18, 2022
...Rishikesh Ranade; Jay Pathak Engineering simulations for analysis of structural and fluid systems require information of contacts between various 3D surfaces of the geometry to accurately model the physics between them. In machine learning applications, 3D surfaces are most suitably represented...
Journal Articles
Article Type: Review Articles
J. Mech. Des. July 2022, 144(7): 071704.
Paper No: MD-21-1642
Published Online: March 18, 2022
...Lyle Regenwetter; Amin Heyrani Nobari; Faez Ahmed Automated design synthesis has the potential to revolutionize the modern engineering design process and improve access to highly optimized and customized products across countless industries. Successfully adapting generative machine learning...
Journal Articles
Article Type: Research Papers
J. Mech. Des. April 2022, 144(4): 041705.
Paper No: MD-21-1373
Published Online: February 22, 2022
... a Variational Autoencoder ,” Mater. Des. , 202 , p. 109544. 10.1016/j.matdes.2021.109544 [50] Jung , J. , Yoon , J. I. , Park , H. K. , Jo , H. , and Kim , H. S. , 2020 , “ Microstructure Design Using Machine Learning Generated Low Dimensional and Continuous Design Space...
Journal Articles
Article Type: Research Papers
J. Mech. Des. July 2022, 144(7): 071703.
Paper No: MD-21-1462
Published Online: February 15, 2022
... artificial intelligence computer-aided design conceptual design data-driven design design automation design methodology design optimization generative design machine learning Ministry of Trade, Industry and Energy 10.13039/501100003052 20008429 Over the past few decades, tire...
Journal Articles
Accepted Manuscript
Article Type: Research Papers
J. Mech. Des.
Paper No: MD-21-1483
Published Online: February 10, 2022
... of the total resistance of the ship hull structure while avoiding the inconsistent estimates from different types of design input parameters. It is demonstrated that the developed AI-based machine learning algorithm as a prediction tool can assist the ship hull design process by accurately providing the total...
Journal Articles
Article Type: Research Papers
J. Mech. Des. April 2022, 144(4): 041402.
Paper No: MD-21-1354
Published Online: December 17, 2021
...-demanding, but often criticized as lacking sensitivity and accuracy. We utilize the complementary strengths of both methods through machine learning. This study investigates the possibility of using machine learning to predict expert creativity assessments from more accessible nonexpert survey results...
Journal Articles
Article Type: Research Papers
J. Mech. Des. February 2022, 144(2): 021711.
Paper No: MD-21-1262
Published Online: December 6, 2021
...Mohammad Mahdi Behzadi; Horea T. Ilieş A number of machine learning methods have been recently proposed to circumvent the high computational cost of the gradient-based topology optimization solvers. By and large, these methods show tight generalizability to unseen boundary and external loading...
Journal Articles
Article Type: Research Papers
J. Mech. Des. February 2022, 144(2): 022001.
Paper No: MD-21-1256
Published Online: December 6, 2021
... machine learning surrogate model National Natural Science Foundation of China 10.13039/501100001809 51621004 Breitkopf et al. defined two Forming Limit Curves (FLCs) [ 31 ] in the principal logarithmic strain plan, as shown in Eq. (12) . (12) { ε 1 = φ s ( ε 2...
Journal Articles
Article Type: Research Papers
J. Mech. Des. February 2022, 144(2): 021712.
Paper No: MD-21-1228
Published Online: December 6, 2021
...-based inverse design paradigm to other inverse design problems or broader inverse problems. artificial intelligence data-driven design design optimization generative design machine learning uncertainty modeling Advanced Research Projects Agency 10.13039/100009224 DE-AR0001216...
Includes: Supplementary data
Journal Articles
Article Type: Research Papers
J. Mech. Des. February 2022, 144(2): 021406.
Paper No: MD-21-1111
Published Online: November 9, 2021
... in this paper can be a starting point for more sophisticated applications in knowledge-based CAD systems and Design-for-X consideration in function-based design. 10 03 2021 07 10 2021 08 10 2021 09 11 2021 data-driven design functional reasoning machine learning...
Journal Articles
Article Type: Research Papers
J. Mech. Des. February 2022, 144(2): 021709.
Paper No: MD-21-1192
Published Online: November 9, 2021
... esign . 06 04 2021 01 09 2021 01 09 2021 09 11 2021 artificial intelligence computer-aided design data-driven design design automation machine learning Bundesministerium für Bildung und Forschung 10.13039/501100002347 01IS18088D...
Journal Articles
Article Type: Research Papers
J. Mech. Des. March 2022, 144(3): 031706.
Paper No: MD-21-1250
Published Online: October 29, 2021
.... 3) Can machines learn to synthesize new bicycle designs by studying existing ones? We test Variational Autoencoders on random generation, interpolation, and extrapolation tasks after training on BIKED data. The dataset and code are available online. (C1) i k = m 1 + k ( m 2...
Topics: Bicycles, Design
Journal Articles
Article Type: Research Papers
J. Mech. Des. February 2022, 144(2): 021708.
Paper No: MD-21-1243
Published Online: October 11, 2021
... design automation machine learning A typical design process involves tedious trial and error procedures, wherein a designer modifies design configurations based on functional, geometric, or esthetics requirements. From the structural or materials design in engineering applications to the shape...
Journal Articles
Article Type: Research Papers
J. Mech. Des. February 2022, 144(2): 021404.
Paper No: MD-21-1227
Published Online: October 11, 2021
..., demonstrating their superiority in complex action space problems. 21 04 2021 16 09 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...
Journal Articles
Article Type: Research Papers
J. Mech. Des. February 2022, 144(2): 021707.
Paper No: MD-21-1246
Published Online: September 23, 2021
...Manaswin Oddiraju; Amir Behjat; Mostafa Nouh; Souma Chowdhury Automated inverse design methods are critical to the development of metamaterial systems that exhibit special user-demanded properties. While machine learning approaches represent an emerging paradigm in the design of metamaterial...
Journal Articles
Article Type: Research Papers
J. Mech. Des. February 2022, 144(2): 021704.
Paper No: MD-21-1177
Published Online: September 21, 2021
... metamodel structural design approximation-based optimal design conceptual design design methodology design of experiments design representation expert systems machine learning metamodeling simulation-based design structural optimization Surrogate models, also known as metamodels, response...
Journal Articles
Article Type: Research Papers
J. Mech. Des. February 2022, 144(2): 021705.
Paper No: MD-21-1236
Published Online: September 21, 2021
... to analyze flexibility, however, do not leverage sufficiently recent developments in machine learning enabling deeper exploration of the computational design space. There is untapped potential for new solutions that are not readily accessible using existing methods. Here, a novel approach to analyze...