Machine Learning-Based System for Heat-Resistant Analysis of Car Lamp Design
Author:
Affiliation:
1. School of Global Entrepreneurship and ICT, Handong Global University
2. School of Department of Industrial Engineering, Ulsan National Institute of Science & Technology
3. SL corporation
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Link
https://www.jstage.jst.go.jp/article/transinf/E107.D/8/E107.D_2023EDP7137/_pdf
Reference26 articles.
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2. [2] P. Wesseling, Principles of Computational Fluid Dynamics, Springer Science & Business Media, 2009.
3. [3] J. Wulf and A. Reich, “Temperature loads in headlamps,” tech. rep., SAE Technical Paper, 2002. 10.4271/2002-01-0912
4. [4] E.A. Costa and L.A. dos Santos, “Wall temperatures and airflow prediction in automotive headlights utilizing the cfd methodology,” tech. rep., SAE Technical Paper, 2006. 10.4271/2006-01-2646
5. [5] D.Y. Shin, C.H. Song, and Y.C. Lee, Trend in CFD Technology and CFD Case Simulation on Drilling, Journal of the Society for Pneumatic Systems, 2012. 10.7839/ksfc.2012.9.1.026
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