用生物柴油混合物进行发动机健康监测的综合机械和化学诊断
Jitendra Yadav1, Ashok Kumar S2, Santosh Kumar Kurre3
1Mechanical Cluster, School of Advance Engineering, UPES, Dehradun 248007, India.
ACS omega
|February 16, 2026
概括
这项研究引入了使用振动分析和油降解指数的双参数诊断框架,以监测使用Jatropha生物柴油混合物的柴油发动机性能. 20%的混合物表现出最佳性能,使预测性维护成为可能.
科学领域:
- * 三角学和滑工程
- * 燃烧发动机和可再生燃料
- * 预测性维护和信号处理
背景情况:
- *采用可再生燃料需要强大的发动机和滑油监控.
- * 亚特罗巴生物柴油混合物为传统柴油提供了替代品.
- *现有的诊断工具可能无法完全捕捉机械应力和油脂降解之间的相互作用.
研究的目的:
- * 开发和验证综合诊断方法,结合振动分析和油脂降解指数.
- * 为了评估使用Jatropha生物柴油混合物 (10%,20%,30%) 的柴油发动机的长期性能.
- *建立一个双参数框架,用于生物柴油发动机的预测性维护.
主要方法:
- *在100小时的发动机运行中,使用快速富里埃变换 (FFT) 进行振动信号分析.
- * 通过粘度,密度和富里埃变换红外光谱 (FTIR) 监测石油状况.
- * 统计分析,包括皮尔森相关性,以将振动数据与油脂降解标记器 (烟尘,氧化,化,硫化,添加剂耗尽) 联系起来.
主要成果:
- *在振动振幅和化学油脂降解标记之间发现了强烈的相关性,表明了机械化学联系.
- * 20%的Jatropha生物柴油混合物表现出优越的性能,振动最小,油性稳定.
- *开发了一个回归模型 (R2 = 0.81,p < 0.05),将振动幅度与氧化和粘度指数联系起来.
结论:
- * 综合诊断框架有效地将发动机振动与生物柴油混合物的油降解相关联.
- * 20%的生物柴油混合物提供了一个有希望的可持续替代品,其性能与传统柴油相美.
- *这种方法为实时预测性维护提供了基础,提高了滑油寿命并减少了发动机停机时间.
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