机器学习和响应表面优化,以提高柴油发动机的性能,使用牛奶渣生物柴油与化纳米颗粒
Veeranna Modi1, K Sunil Kumar2, Bhavesh Kanabar3
1KLE College of Engineering and Technology, Visvesvaraya Technological University, Chikodi, Belagavi, 590018, Karnataka, India. veeranna.modi@klecet.edu.in.
Scientific reports
|October 1, 2025
概括
纳米添加的乳制品渣甲基生物柴油混合物显示出作为可持续燃料的前景. 添加氧化纳米颗粒可以提高发动机效率,并显著减少CO2和NOx等排放.
科学领域:
- 可持续能源 可持续能源
- 材料科学 材料科学 材料科学
- 燃烧工程 燃烧工程
背景情况:
- 来自乳制品渣甲基 (DSME) 的生物柴油为化石燃料提供了一种可再生的替代品.
- 纳米粒子添加剂可能会增强生物柴油燃料的燃烧特性和性能.
- 优化燃料混合物对于提高发动机效率和减少有害排放至关重要.
研究的目的:
- 调查氧化 (Al2O3) 纳米粒子添加对柴油发动机中DSME生物柴油混合物的性能和排放特征的影响.
- 评估纳米增强DSME生物柴油作为传统柴油燃料更清洁,更有效的替代品的潜力.
- 使用机器学习模型分析发动机负载,热效率和排放之间的关系.
主要方法:
- 五种燃料混合物的制备:纯柴油,DSMEB10,DSMEB20和纳米添加的DSMEB10和DSMEB20与50-60ppm的Al2O3纳米粒子.
- 使用超声波散Al2O3纳米颗粒,使其混合均.
- 对发动机性能 (制动热效率,特定燃料消耗) 和排放特征 (CO2,NOx,总体污染物) 的实验性评估.
- 机器学习模型的应用 (线性回归,胡伯回归) 用于预测分析.
主要成果:
- 与50ppm Al2O3纳米粒子混合的DSMEB10实现了29.1%的高制动热效率 (BTE),与传统柴油相比.
- 这种纳米增强混合物在0.31公斤/千瓦时时表现出最低的特定燃料消耗 (SFC),表明燃料利用率有所提高.
- 通过纳米添加的DSMEB10混合物观察到总体污染物 (40%),CO2 (36.3%) 和NOx排放的显著减少.
- 与Huber回归相比,线性回归模型对发动机性能和排放的预测准确度略有提高 (MSE和MAE较低).
结论:
- 与传统柴油相比,纳米添加的DSME生物柴油混合物,特别是50ppmAl2O3的DSMEB10,表现出优越的发动机性能和减少的排放.
- 加入Al2O3纳米粒子提高了燃烧效率,并带来了巨大的环境效益.
- 这些发现支持DSME生物柴油与纳米粒子增强作为可持续和环保的燃料替代品的可行性.
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