微水对绝缘油凝点倾点影响的红外光谱检测

发布时间：2018-04-29 06:41

本文选题：微量水分 + 红外光谱　；参考：《北京理工大学学报》2017年02期

【摘要】：探讨微量水分影响机理以便采取有效措施监控绝缘油的运行状态.首先配制不同微水体积分数的绝缘油样,通过实验测试油样的凝点、倾点值;再对每组油样进行红外光谱扫描,得到油样中石蜡质成分(特征波数为722cm~(-1))、水分(特征波数为1 640,3 400,3 450,3 615cm~(-1))的吸光度值;最后对每组油样中水分子在不同红外波数处的吸光度值、油样中石蜡质吸光度值、油样凝点倾点实验值之间进行皮尔逊相关系数分析,并建立了722,1 640,3 400,3 450,3 615cm~(-1)波数吸光度值与凝点倾点值的多元线性回归模型,模型的拟合优度分别为0.987 3和0.993 6,模型对油液凝点倾点的预测值与实测值之间的误差范围为0.033%~0.350%.结果表明微水对绝缘油凝点倾点的影响规律是随着油水分散系中水分体积分数增加,油液的凝点倾点值均呈现小幅增加趋势,水分对油样石蜡质成分吸光度值影响作用明显.
[Abstract]:The influence mechanism of trace moisture is discussed in order to take effective measures to monitor the running state of insulating oil. At first, the insulating oil samples with different micro-water volume fraction were prepared, and the freezing point and pour point of the oil samples were tested experimentally. Then, the infrared spectrum scanning of each group of oil samples was carried out. The absorbance values of waxy components (characteristic wavenumber 722 cm ~ (-1) and water (1 640 ~ 3 400 ~ 3 450 ~ 3 450 ~ 3 615 cm ~ (-1) in oil samples were obtained, and the absorbance values of water molecules in oil samples at different infrared wavenumber and wax absorbance values in oil samples were obtained. The Pearson correlation coefficient between the experimental values of pour point of oil sample was analyzed, and a multivariate linear regression model of the absorbance value of wavenumber and the value of pour point of freezing point was established, and the absorbance value of wavenumber and the value of pour point of freezing point were established. The goodness of fit of the model is 0.987 3 and 0.993 6 respectively. The error range between the predicted value and the measured value is 0.033 and 0.350 respectively. The results show that the effect of micro-water on the pour point of insulating oil is that with the increase of integral number of water fraction in oil-water dispersion system, the pour point value of oil increases slightly, and the effect of moisture on absorbance value of paraffin component of oil sample is obvious.
【作者单位】：重庆工商大学废油资源化技术与装备教育部工程研究中心;
【基金】：国家自然科学基金资助项目(51375516) 重庆基础与前沿研究资助项目(cstc2016jcyiA0185)
【分类号】：O657.33

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