预测DI发动机的特性,通过使用人工神经网络,通过使用Glycine max油生物燃料的各种注射时间来预测DI发动机的特性

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A Rapid Method for Modeling a Variable Cycle Engine

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Published on: August 13, 2019

Upendra Rajak¹, Manoj Panchal¹, Abhishek Dasore^2,3

¹Department of Mechanical Engineering, RGM College of Engineering and Technology, Nandyal, 518501, India.

Environmental science and pollution research international

|July 25, 2024

概括

在柴油发动机中优化大豆油生物燃料 (GMOB) 注射时间,可以提高燃料消耗并减少二氧化碳排放. 先进计时 (26.5°b TDC) 提高了制动热效率,但稍微增加了NOx排放.

科学领域:

燃烧工程燃烧工程
可再生能源可再生能源来源
优化发动机性能优化发动机性能

背景情况:

甘油最大油生物燃料 (GMOB) 是由大豆油转化而产生的生物燃料,具有显著的热能.
柴油发动机是生物燃料整合的关键领域,因为它们的广泛使用和效率.
优化燃烧参数是最大限度地提高生物燃料的好处和最大限度地减少缺点的关键.

研究的目的:

实验调查不同燃料注入时间对使用GMOB的单四冲程直接注入 (DI) 柴油发动机的性能,点火和排气参数的影响.
使用人工神经网络 (ANN) 来优化这些参数.

主要方法:

一个单四冲程DI柴油发动机的实验调查.
使用甘油最大油生物燃料 (GMOB) 作为测试燃料.
不同的燃料注入时间和分析性能指标 (BTE,燃料消耗) 和排放 (NOx,CO2,烟雾).
使用人工神经网络 (ANN) 的优化.

主要成果:

在顶死中心 (b TDC) 之前,在24.5°的20%的GMOB混合物降低了制动热效率 (BTE),NO_x和排气温度,但提高了燃料消耗,CO2排放 (CDE) 和烟雾.
与24.5°b TDC相比,将注射时间提前到26.5°b TDC增加了BTE约5.0%,并减少了燃料消耗约2.0%.
在26.5°b TDC,NO_x排放量增加了8.6%,而相对于24.5°b TDC,烟雾排放量减少了4.07%.

结论:

燃料注入时间显著影响DI柴油发动机中的GMOB性能和排放.
优化注入时间 (例如,26.5°b TDC) 可以提高发动机效率和减少特定排放,尽管存在权衡 (例如,增加NOx).
人工神经网络为优化这些复杂的燃烧过程提供了一种可行的方法.

关键词:

甘氨酸马克斯油生物燃料油人工神经网络的人工神经网络这是一个柴油发动机.污染物的形成.

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