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基于FT-IR 快速预测车用柴油十六烷值
Fast prediction of cetane number of automotive diesel based on FT-IR
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- DOI:
- 作者:
- 庞二喜，刘志浩，刘奇锋，孙运才，徐林勋
Pang Erxi, Liu Zhihao, Liu Qifeng, Sun Yuncai, Xu Linxun
- 作者单位:
- 山东京博新能源控股发展有限公司，山东滨州256500
Shandong Chambroad New Energy Holding Development Co., Ltd., Binzhou 256500, China
- 关键词:
- 十六烷值；傅里叶变换红外；化学计量学；核偏最小二乘法
cetane number; Fourier Transform Infrared; stoichiometric methods; kernel partial least squares
- 摘要:
- 摘要：车用柴油十六烷值是衡量柴油在压燃式发动机中发火性能的重要指标，也是车用柴油
出厂时的关键质量指标之一。利用FTIR 光谱和化学计量学方法建立车用柴油十六烷值的核
偏最小二乘法定量分析模型，相关系数R 为0.97，均偏差为0.05，标准差0.05，说明模型建立的
方法较好。进一步对模型进行验证和评价，验证集的20 个样品的十六烷值相关系数R 为
0.95，预测均方差（RMSEP）为0.44。说明模型的预测效果很好，能满足生产中车用柴油检测
精度基本要求，所建的数学模型具有良好的预测能力，可以达到常规分析方法的精度要求。
combustion engine, and is also one of the key quality indexes of automotive diesel when leaving the factory. Fourier Transform
Infrared(FTIR) spectroscopy and stoichiometric methods were used to establish a quantitative analysis model of cetane value of
automotive diesel oil by kernel partial least squares(KPLS). The correlation coefficient R was 0.97, the mean deviation was 0.05,
and the standard deviation was 0.05, indicating that the model was established by a good method. The model was further verified
and evaluated. The cetane number correlation coefficient R of 20 samples in the validation set was 0.95, and Root mean square
error of prediction (RMSEP) was 0.44. It shows that the prediction effect of the model is very good, and it can meet the basic
requirements of the detection accuracy of vehicle diesel oil in production.