Development of Accuracy Improvement Technology for Surrogate Models using Shape Generation AI

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Other Title
  • 形状生成AIを使ったサロゲートモデルの精度向上技術の開発

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Description

To improve the performance prediction accuracy of surrogate models for exterior panels, a cycle that explores and detect a lack of training data in design space, creates new training data using 3D shape generation AI and CAE for the detected area and iteratively update the surrogate model is established. The process was applied to the surrogate model of hood outer rigidity performance and the prediction accuracy is improved．

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Details 詳細情報について

  • CRID
    1390584475740159488
  • DOI
    10.11351/jsaeronbun.56.140
  • ISSN
    18830811
    02878321
  • Text Lang
    ja
  • Data Source
    • JaLC
  • Abstract License Flag
    Disallowed

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