A Machine Learning-Based Approach for Quick Evaluation of Live Simulations in Embodiment Design. (May 2022)
- Record Type:
- Journal Article
- Title:
- A Machine Learning-Based Approach for Quick Evaluation of Live Simulations in Embodiment Design. (May 2022)
- Main Title:
- A Machine Learning-Based Approach for Quick Evaluation of Live Simulations in Embodiment Design
- Authors:
- Sauer, C.
Gerschütz, B.
Bernsdorf, J.
Schleich, B.
Wartzack, S. - Abstract:
- Abstract: Supporting product developers in early design phases with Live-Simulation can enhance the quality of early product designs. Live-Simulation can also facilitate a democratization of simulation and puts away pressure from simulation experts. In this paper, a machine learning based quick evaluation tool is proposed to support product developers in interpreting Live-Simulation results. The proposed tool enables a quick evaluation of the Live-Simulation results and enables product developers to further enhance their simulations. The tool is shown within a use case in bike rocker switch design.
- Is Part Of:
- Proceedings of the Design Society. Volume 2(2022)
- Journal:
- Proceedings of the Design Society
- Issue:
- Volume 2(2022)
- Issue Display:
- Volume 2, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 2
- Issue:
- 2022
- Issue Sort Value:
- 2022-0002-2022-0000
- Page Start:
- 1757
- Page End:
- 1766
- Publication Date:
- 2022-05
- Subjects:
- data-driven design -- simulation-based design -- structural analysis -- machine learning -- live-simulation
Industrial design -- Congresses
Engineering design -- Congresses
620.0042 - Journal URLs:
- https://www.cambridge.org/core/journals/proceedings-of-the-design-society ↗
- DOI:
- 10.1017/pds.2022.178 ↗
- Languages:
- English
- ISSNs:
- 2633-7762
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 22822.xml