Development of a Multi-Component Surrogate Model for Biodiesel Fuel
バイオディーゼル燃料の多成分サロゲートモデルの開発
- Delivery
- Available on this site
- Format
- Price
- Non-members (tax incl.)：￥1,100 Members (tax incl.)：￥880
- Publication code
- 20265230
- Paper/Info type
- Proceedings (Spring)
No.54-26
- Pages
- 1-6(Total 6 p)
- Date of publication
- May 2026
- Publisher
- JSAE
- Language
- Japanese
- Event
- 2026 JSAE Annual Congress (Spring)
Detailed Information
| Author(J) | 1) 福田 晶, 2) 河内 隆史, 3) 百瀬 好二, 4) 高瀬 秀樹, 5) 林 朋博, 6) 稗島 利明 |
|---|---|
| Author(E) | 1) Sho Fukuda, 2) Takashi Kawachi, 3) Koji Momose, 4) Hideki Takase, 5) Tomohiro Hayashi, 6) Toshiaki Hijima |
| Affiliation(J) | 1) 豊田自動織機, 2) 豊田自動織機, 3) 豊田自動織機, 4) IDAJ, 5) SOKEN, 6) SOKEN |
| Affiliation(E) | 1) Toyota Industries, 2) Toyota Industries, 3) Toyota Industries, 4) IDAJ, 5) SOKEN, 6) SOKEN |
| Abstract(J) | 本研究では，バイオディーゼル燃料に対応する多成分サロゲートモデルを開発した．液相・気相を分離し，実燃料組成に基づく代表成分を設定することで，複雑な変換を用いず燃料特性を再現可能とした．詳細反応機構を組み込み，CFD解析とエンジン試験で検証し，着火遅れや排出物挙動を高精度に予測できることを示した． Translation |
| Abstract(E) | A multi-component surrogate model for biodiesel fuels was developed by separating liquid-phase and gas-phase surrogates based on actual fuel composition. This approach avoids complex conversion methods while preserving key reaction characteristics. The model integrates detailed chemical kinetics into CFD simulations and is validated against engine experiments, accurately predicting ignition delay, heat release, and emission trends. This method offers a practical tool for combustion and emission analysis across diverse fuel types, supporting carbon-neutral engine design. |
