A Predictive Thermo-Mechanical Framework for Tire Temperature and Performance Modeling
- 提供方法
- 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
- 20265107
- 文献・情報種別
- 学術講演会予稿集（春）
No.25-26
- 掲載ページ
- 1-8(Total 8 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) Francesco Calabrese, 2) Manfred Bäcker, 3) Axel Gallrein, 4) Ruhwedel Tobias, 5) Christoph Burkhart |
|---|---|
| 著者（英） | 1) Francesco Calabrese, 2) Manfred Bäcker, 3) Axel Gallrein, 4) Ruhwedel Tobias, 5) Christoph Burkhart |
| 勤務先 | 1) Fraunhofer Institute for Industrial Mathematics, 2) Virtual Tire Technologies, 3) Fraunhofer Institute for Industrial Mathematics, 4) Fraunhofer Institute for Industrial Mathematics, 5) Virtual Tire Technologies |
| 勤務先（英） | 1) Fraunhofer Institute for Industrial Mathematics, 2) Virtual Tire Technologies, 3) Fraunhofer Institute for Industrial Mathematics, 4) Fraunhofer Institute for Industrial Mathematics, 5) Virtual Tire Technologies |
| 抄録（英） | The growing demand for sustainable products drives the industry to improve CAE methods for predicting wear and rolling resistance, both strongly temperature-dependent. The authors work enhances temperature modeling and parameterization in the thermo-mechanical CDTire model. Its finite-volume formulation separates geometry from material properties, improving physical accuracy and therefore reducing parameter identification effort due to enhanced prediction capability. A measurement-based methodology is presented and validated on multiple passenger-car tires, showing improved accuracy of standard characteristics with minimal extra effort. Temperature effects on cornering/braking stiffness, friction, and pressure are examined in details. Future work targets improved rolling-resistance and wear prediction. 翻訳 |
