Development of AI-Based Bush Characteristics Prediction Model for R&H Simulation Modeling Efficiency
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- 本サイト上にてダウンロード・閲覧可
- 形態
- 価格
- 一般価格(税込):¥1,100 会員価格(税込):¥880
- 文献番号
- 20265214
- 文献・情報種別
- 学術講演会予稿集(春)
No.50-26
- 掲載ページ
- 1-6(Total 6 p)
- 発行年月
- 2026年 5月
- 出版社
- (公社)自動車技術会
- 言語
- 英語
- イベント
- 2026年春季大会
書誌事項
| 著者 | 1) Mi Reu Kim, 2) Tae Min Jeong |
|---|---|
| 著者(英) | 1) Mi Reu Kim, 2) Tae Min Jeong |
| 勤務先 | 1) Hyundai Motor, 2) Hyundai Motor |
| 勤務先(英) | 1) Hyundai Motor, 2) Hyundai Motor |
| 抄録(英) | Recently, as AI technology has advanced, attempts to incorporate AI technology into the vehicle modeling process in the CAE field have increased. Previously, the static or dynamic characteristics of vehicle parts were expressed in the form of mathematical functions and substituted with equivalent models. However, this type of modeling technique has limitations in expressing the complex nonlinear dynamic characteristics of vehicle parts. Therefore, this paper proposes a new modeling technique by introducing AI technology to the existing modeling technique and shows that the efficiency of vehicle parts characteristic modeling can be improved. 翻訳 |