Optimization Calculation of Vehicle Front-end Cooling Structure with Variable Fidelity CFD and Proper Orthogonal Decomposition
複数精度CFDとPODを用いた自動車フロントエンド冷却開口の最適化計算*
- Delivery
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- Publication code
- 20224180
- Paper/Info type
- JSAE Transaction
Vol.53 No.2
- Pages
- 437-442(Total 6 p)
- Date of publication
- Mar 2022
- Publisher
- JSAE
- Language
- Japanese
Detailed Information
| Category(J) | 研究論文 Translation |
|---|---|
| Category(E) | ResearchPaper |
| Author(J) | 1) 高村 宏行, 2) 今井 伸哉, 3) 山崎 渉, 4) 王 宗光 |
| Author(E) | 1) Hiroyuki Takamura, 2) Shinya Imai, 3) Wataru Yamazaki, 4) ZongGuang Wang |
| Affiliation(J) | 1) 三菱自動車工業, 2) 長岡技術科学大学, 3) 長岡技術科学大学, 4) 三菱自動車工業 |
| Abstract(J) | 自動車フロントエンドの冷却設計に最適化CFDを活用する場合，車両フルモデルを用いると高い予測精度を確保でき，図面にも反映しやすい．しかし，過大な計算コストが課題となっていた．本研究では，複数精度CFDと固有直交分解を用いて計算コストを削減し，効率的に冷却構造を検討するプロセスを提案する． Translation |
| Abstract(E) | In order to improve the cooling performance of a vehicle, we carried out computational fluid dynamics (CFD) optimization of the front-end cooling structure. To improve the efficiency of optimization calculation, we introduced a method using variable fidelity CFD models and proper orthogonal decomposition (POD). Firstly, in this method, the POD modes are calculated from Pareto solutions of low-fidelity CFD optimization. Secondly, an optimization calculation is performed using high-fidelity CFD models with only the dominant POD modes. As a result, we obtained solutions showing performance values equal to those of the previous method at 50% of the computational cost of it. |
