优化发动机操作参数,以提高燃烧增强的三元燃料压缩点火发动机的性能
Sinnappadass Muniyappan1, Ravi Krishnaiah2
1School of Mechanical Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, 632014, India.
Scientific reports
|July 2, 2025
概括
这项研究以ZnO优化柴油-马华-乙醇燃料,发现了理想的注射时间和EGR速率,以提高压缩点火发动机性能. 这些设置显著提高了效率,并减少了有害排放.
科学领域:
- * 燃烧和发动机性能分析
- *可再生能源燃料和添加剂
背景情况:
- *研究替代燃料和燃烧增强剂对于可持续的内燃机至关重要.
- *柴油-马华-乙醇与氧化 (ZnO) 的混合物为更清洁,更高效的燃烧提供了一个有希望的途径.
- *优化发动机参数,如注射时间 (IT) 和废气循环 (EGR),是最大化性能的关键.
研究的目的:
- * 确定使用柴油-马华-乙醇-ZnO燃料混合物的压缩点火 (CI) 发动机的最佳注射时间 (IT) 和废气循环 (EGR) 速率.
- * 评估响应表面方法 (RSM) 和人工神经网络 (ANN) 在预测最佳发动机操作参数方面的有效性.
- *通过实验分析验证优化的参数,并评估它们对发动机性能和排放的影响.
主要方法:
- * 在不同负载条件下对发动机性能进行实验性研究.
- *应用响应表面方法 (RSM) 来建模和优化发动机参数 (IT和EGR).
- *人工神经网络 (ANN) 的开发和验证,用于预测发动机输出因子.
- *使用柴油-马华-乙醇混合与氧化 (ZnO) 作为燃烧增强剂.
主要成果:
- * RSM确定了最佳操作参数为B25E15Zn50混合物的26.4°bTDC注射时间和8.63%的EGR率.
- *优化的参数带来了显著的改进:12.3%的最大气压力,9.9%的热释放率和3.7%的车热效率在80%的负载下.
- *观察到排放量大幅减少:碳化合物 (HC) 的26.4%,一氧化碳 (CO) 的19.6%,烟雾的43.6%,氧化物 (NOx) 的33.7%.
- *ANN和RSM模型显示出高预测准确度,并具有强大的相关系数 (R2).
结论:
- * 该研究使用RSM和ANN成功确定了柴油-马华-乙醇-ZnO燃料混合物的最佳发动机运行参数.
- *优化的参数显著提高了发动机性能 (CP,HRR,BTE) 并减少了排放 (HC,CO,烟雾,NOx).
- * RSM和ANN是优化发动机参数和预测替代燃料混合物的性能的有效工具.
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