BriefGPT.xyz
May, 2023
汽车阻力系数的深度和法向渲染代理模型
Surrogate Modeling of Car Drag Coefficient with Depth and Normal Renderings
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Binyang Song, Chenyang Yuan, Frank Permenter, Nikos Arechiga, Faez Ahmed
TL;DR
该研究基于一种新的二维表示法,提出一种基于深度神经网络的代理拖曳模型,以准确有效地评估汽车设计的拖曳系数,并在多个汽车类别中获得了高达0.84的R方值,这是一项显着向自动生成拖曳优化汽车设计的重要进展。
Abstract
generative ai models
have made significant progress in automating the creation of
3d shapes
, which has the potential to transform car design. In engineering design and optimization, evaluating engineering metrics
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