Accelerating Generative Design for Vehicle Development : A Framework Integrating Modeling, Design Space Exploration, and Decision-Making
加速する生成設計 ：車両開発におけるモデル化・設計空間探査・意思決定の枠組み
- Delivery
- Available on this site
- Format
- Price
- Non-members (tax incl.)：￥1,100 Members (tax incl.)：￥880
- Publication code
- 20264547
- Paper/Info type
- Journal of Society of Automotive Engineers of Japan
Vol.80 No.9
- Pages
- 26-31(Total 6 p)
- Date of publication
- Sep 2026
- Publisher
- JSAE
- Language
- Japanese
Detailed Information
| Category(J) | AIを活用した振動・騒音設計技術 Translation |
|---|---|
| Category(E) | AI-based Noise and Vibration Design Technology |
| Author(J) | 1) 中川 修一 |
| Author(E) | 1) Shuichi Nakagawa |
| Affiliation(J) | 1) ヤンマーホールディングス |
| Abstract(J) | 気候変動への配慮や歴史的洗練化により制約が増す車両設計を想定し、発展が加速している生成設計の枠組みを概説している。これをモデル化、設計空間探査、意思決定の三層構成に捉え直し、実用性を示すため、数学的な感度情報に基づく建設機械の防音設計とデータ群に基づく油圧変速機の圧力脈動制御を実例に挙げている。 Translation |
| Abstract(E) | Vehicle design has become increasingly challenging due to climate change considerations and the historical maturity of existing technologies. To support this demanding process, this article has outlined a rapidly evolving generative design framework. Specifically, the framework has been organized into three core layers: modeling, design space exploration, and decision-making. To demonstrate its practical utility, two industrial applications have been presented: the acoustic enclosure design of construction machinery based on mathematical sensitivity information, and the pressure ripple control of hydraulic transmissions utilizing extensive datasets. Overall, these examples have illustrated the framework’s effectiveness in supporting rational design decisions. |
