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 the other site
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- Publication code
- 20264608
- Paper/Info type
- JSAE Transaction
Vol.57 No.5
- Pages
- 909-915(Total 7 p)
- Date of publication
- Sep 2026
- Publisher
- JSAE
- Language
- Japanese
Detailed Information
| Category(J) | 論文 Translation |
|---|---|
| Category(E) | Paper |
| 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) 株式会社 豊田自動織機, 2) 株式会社 豊田自動織機, 3) 株式会社 豊田自動織機, 4) 株式会社 IDAJ, 5) 株式会社 SOKEN, 6) 株式会社 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) | We propose a multi-component surrogate framework for diesel and biodiesel blends that separates liquid-phase and gas-phase surrogates derived directly from measured fuel composition. The liquid surrogate retains distillation behavior using 36 components, while 13 gas-phase representative species are mapped to a detailed kinetic mechanism. Cetane-number equivalence is achieved through targeted adjustments to low-temperature oxidation pathways and surrogate blending, enabling consistent ignition ranking across B7, HVO, PME50, and SME50. A reduced mechanism (284 species, 5842 reactions) is coupled with 3D CFD spray combustion simulations and validated against engine tests and RCEM optical diagnostics. The model reproduces pressure and heat-release histories, captures NOx and THC trends, and qualitatively matches soot evolution and spatial distribution. The approach provides a practical, composition-driven tool for combustion and emissions studies of diverse carbon-neutral fuels. |
