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油品二元掺混黏度预测模型评价研究
引用本文:张俊,曹学文,张楠,李显超,吉俊毅.油品二元掺混黏度预测模型评价研究[J].石油化工高等学校学报,2013(6):65-70.
作者姓名:张俊  曹学文  张楠  李显超  吉俊毅
作者单位:中国石油大学(华东)储运与建筑工程学院,山东青岛266580
基金项目:中央高校基本科研业务费专项资金资助(13CX06076A);中国石油大学(华东)“研究生创新工程资助项目”(CX2013019).
摘    要:为较好的控制和预测石油化工过程中油品掺混后的黏度,获得对于不同工艺情形的精度较高的掺混黏度预测模型,以黏度比为工况划分标准,相对误差的绝对值及工程允许误差为评价准则,评价了8种二元油品掺混黏度的预测模型。得到了各个模型在全黏度比1~106内的黏度预测特性。计算分析了各个模型的预测精度。按黏度比,对掺混黏度预测做了模型的优选。结果表明,Arrhenius、Bingham、Kendall等基本模型的预测结果波动及误差较大,不推荐使用,黏度比在1~103时优选Chevron模型,黏度比在104~105时优选Cragoe模型,而黏度比在105~106时各模型都超出允许范围,且波动及偏差较大,预测效果不好,亟待开发出一种适用模型。

关 键 词:二元掺混  黏度比  掺入比  黏度预测  模型评价

Evaluation of Viscosity Prediction Model of Binary Oil Mixtures
ZHANG Jun,CAO Xuewen,ZHANG Nan,LI Xianchao,JI Junyi.Evaluation of Viscosity Prediction Model of Binary Oil Mixtures[J].Journal of Petrochemical Universities,2013(6):65-70.
Authors:ZHANG Jun  CAO Xuewen  ZHANG Nan  LI Xianchao  JI Junyi
Affiliation:(College of Pipeline and Civil Engineering, China University of Petroleum (East China), Qingdao Shandong 266580,China)
Abstract:In order to acquire good viscosity prediction model to satisfy and control processes in petroleum and chemical industry ,existing models were evaluated by absolute relative error at various viscosity ratios .Eight models were selected to be evaluated in this way .Each model’s prediction characteristics and accuracy were compared and recommendation was made according to different viscosity ratio .The result shows that Arrhenius ,Bingham ,Kendall model have a bad performance when applied to predict blend viscosity which is not recommended to use .Chevron model is recommended to use when viscosity ratio between 1 and 103 .Cragoe model is better than others when viscosity ratio between 103 and 105 .Whereas ,no model has good prediction performance when viscosity ratio between 105 and 106 .Thus ,a new model is urgently needed to be developed .
Keywords:Binary oil mixture  Viscosity ratio  Blend ratio  Viscosity prediction  Model evaluation
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