Prediction of Amount of Water Received for Vehicle by Using Splash Simulation
被水シミュレーションを用いた実車被水量の予測技術
- Delivery
- Available on the other site
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- Paper/Info type
- MAZDA Technical Review
No.38
- Pages
- 105-110(Total 6 p)
- Date of publication
- Dec 2021
- Publisher
- Others, Unknown
- Language
- Japanese
Detailed Information
| Category(J) | 論文 Translation |
|---|---|
| Category(E) | Technical Papers and Explanation |
| Author(J) | 1) 丸山 慧, 2) 土屋 明宏, 3) 吉田 敏弘, 4) 山根 貴和, 5) 上岡 孝志, 6) 落岩 克哉 |
| Author(E) | 1) Satoshi Maruyama, 2) Akihiro Tsuchiya, 3) Toshihiro Yoshida, 4) Takakazu Yamane, 5) Takashi Kamioka, 6) Katsuya Ochiiwa |
| Affiliation(J) | 1) マツダ, 2) マツダ, 3) マツダ, 4) マツダ, 5) マツダ, 6) マツダ |
| Affiliation(E) | 1) MAZDA, 2) MAZDA, 3) MAZDA, 4) MAZDA, 5) MAZDA, 6) MAZDA |
| Abstract(J) | 自動車の防錆品質の適正化のためには，部品ごとの腐食環境を定量化し，それぞれの環境に応じた防錆処理を施す必要がある。しかしながら，車両の構成部品は何万点にも及ぶことから，実車での腐食環境計測には膨大な時間，コストを要する。そこで，防錆開発の効率化のために部品ごとの腐食環境を予測する上で最も重要な因子である走行中の部品ごとの被水量に着目し，被水シミュレーションの開発に取り組んだ。流体解析手法としてMoving Particle Simulation（ MPS） 法を活用することでタイヤからの水跳ね挙動を再現し，更に車両周りの気流速度データとの連成解析を行うことで，極めて高精度な被水量の予測技術を確立した。 Translation |
| Abstract(E) | In order to optimize the quality of anti-corrosion for vehicle, it is necessary to quantify corrosion environment of each component and provide appropriate treatment according to the environment. However, it takes much time and cost to measure corrosion environment on vehicle because a vehicle is composed of tens of thousands of parts. For the e cient development of anti-corrosion performance, we have worked on developing the splash simulation, focusing on the amount of water received on the vehicle while running, which is the most important factor to predict the corrosion environment for each component and developed the splash simulation. We have replicated splash behavior from own tire by utilizing the Moving Particle Simulation (MPS) as the CFD (Computational Fluid Dynamics) method. Furthermore, we have developed the highly accurate prediction of the amount of water received by conducting a water-airflow velocity coupled analysis around the vehicle. |
