通过基于预测的校准方法开发分割注射战略控制图,以改善生物柴油柴油发动机的特性
Ashok Bragadeshwaran1,2, Vignesh Rajasekar1, Kaisan Muhammad Usman3
1School of Mechanical Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, 632014, India.
Environmental science and pollution research international
|September 21, 2023
概括
在CI发动机中优化Karanja生物柴油混合物的注射器控制,提高性能并减少排放. 这项研究开发了一种最佳的分割注入器控制图,提高了制动热效率,减少了特定燃料消耗,同时平衡了排放.
科学领域:
- 其他替代燃料 替代燃料
- 燃烧发动机的使用情况
- 可持续能源 可持续能源
背景情况:
- 卡兰贾油与柴油混合,为CI发动机提供一种无毒的,可生物降解的替代燃料,由于其低排放量和高氧含量.
- 优化燃料注入对于最大限度地利用柴油发动机中的生物燃料的好处至关重要.
研究的目的:
- 为了提高Karanja生物柴油混合动力柴油发动机的性能和排放特性.
- 使用基于全球模型的校准方法开发最佳的分割注射器控制图.
主要方法:
- 利用I-最佳设计的实验,用于模型开发.
- 采用响应表面方法 (RSM) 来确定校准参数和发动机性能之间的关系.
- 应用了多目标优化方法来获得最佳的注入器控制点.
主要成果:
- 针对20%Karanja生物柴油 (KBD) 混合物的优化地图实现了高达30%的制动热效率 (BTE) 和0.37公斤/千瓦时的制动特定燃油消耗 (BSFC).
- 优化增加了BTE的31.36%和降低了BSFC的29.31%在19Nm和3000rpm与非优化的地图相比.
- 与柴油相比,烟雾排放减少了22.3%,CO减少了12.8%,HC减少了19.2%,但NOx增加了9.83%.
结论:
- 开发的最佳分割注入器控制图显著提高了发动机性能,并减少了KBD混合物的某些排放.
- 在平衡排放的同时,优化的KBD燃料地图显示性能略低于纯柴油.
- 可能需要进一步的研究,以完全减轻NOx的增加,同时保持性能好处.
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