基于NSGA-II的Fischer-Tropsch燃料的柴油发动机中影响排放的注入参数的多重优化
Jinhong Shi1, Kun Liu1, Ming Xu1
1College of Vehicle Engineering, Taiyuan University of Technology, Taiyuan, Shanxi 030024, China.
ACS omega
|June 19, 2023
概括
这项研究优化了使用Fischer-Tropsch燃料的柴油发动机排放量. 支持矢量机 (SVM) 和TOPSIS方法将烟尘降低至7.1%,氧化 (NOx) 降低至2.6%.
科学领域:
- 内部燃烧发动机 内部燃烧发动机
- 环境科学与工程环境科学与工程
- 计算流体动力学的流体动力学.
背景情况:
- 柴油发动机在同时减少烟尘和氧化 (NOx) 排放方面面临着挑战.
- 菲舍尔-托普施 (FT) 燃料为更清洁的燃烧提供了替代方案,但需要优化发动机参数.
- 现有的排放控制方法通常涉及烟尘和NOx减排之间的权衡.
研究的目的:
- 为了优化电子控制的柴油发动机中的烟尘和氧化物排放,使用菲舍尔-托普施燃料.
- 开发出排气性能和燃烧性能的预测模型.
- 为了确定最佳的操作条件,平衡烟尘和NOx减排.
主要方法:
- 发动机试验台实验,研究注射参数对排放和燃烧的影响.
- 基于支持矢量机 (SVM) 的预测模型的开发.
- 在决策分析和帕雷托前线优化中应用TOPSIS (通过理想解决方案相似度排序优先级的技术) 方法.
主要成果:
- SVM模型准确地预测了发动机性能和排放.
- 托普西斯方法有效地改善了烟尘和氧化物排放之间的权衡.
- 经过优化后的帕雷托阵线显示了显著的降低:烟尘为3.7-7.1%,氧化物为1.2-2.6%.
- 实验验证证证实了该模型的准确性,相对误差低 (烟尘≤8%,NOx≤5%) 和高R平方值 (>0.9).
结论:
- SVM建模和TOPSIS分析的结合方法是用于柴油发动机排放优化的可行和有效方法.
- 这项研究提供了一条途径,可以同时减少使用FT燃料的柴油发动机中的烟尘和NOx排放.
- 这些发现有助于开发更清洁,更高效的内燃机技术.
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