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基于量纲分析的油炒表面换热系数预测模型
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  • 英文篇名:Prediction model of surface heat transfer coefficient in oil frying based on dimensional analysis
  • 作者:张宏文 ; 何腊平 ; 邓力 ; 李翠芹 ; 冯伦元 ; 陈翠翠 ; 余冰妍 ; 常瑞
  • 英文作者:ZHANG Hong-wen;HE La-ping;DENG Li;LI Cui-qin;FENG Lun-yuan;CHEN Cui-cui;YU Bing-yan;CHANG Rui;School of Liquor and Food Engineering,Guizhou University;Key Laboratory of Agricultural and Animal Products Store & Processing of Guizhou Province;School of Chemistry and Chemical Engineering,Guizhou University;
  • 关键词:表面换热系数 ; 油炒 ; 烹饪 ; 量纲分析 ; 预测模型 ; 残差分析
  • 英文关键词:surface heat transfer coefficient;;oil frying;;Chinese cuisine;;dimensional analysis;;prediction model;;residual analysis
  • 中文刊名:SPJX
  • 英文刊名:Food & Machinery
  • 机构:贵州大学酿酒与食品工程学院;贵州省农畜产品贮藏与加工重点实验室;贵州大学化学与化工学院;
  • 出版日期:2019-03-15
  • 出版单位:食品与机械
  • 年:2019
  • 期:v.35;No.209
  • 基金:国家自然科学基金项目(编号:31660449,31860443);; 贵州省重大科技专项计划项目(编号:黔科合重大专项字[2015]6004);; 贵州省科技计划项目(编号:黔科合农G字[2013]4016号,黔科合支撑[2017]2707号,黔科合平台人才[2018]5781号);; 贵阳市科学计划项目(编号:生物重大专项[2010]筑农合同字第8-1号)
  • 语种:中文;
  • 页:SPJX201903007
  • 页数:8
  • CN:03
  • ISSN:43-1183/TS
  • 分类号:39-46
摘要
基于量纲分析原理导出4个无量纲量,通过多元回归建立了具有量纲和谐性的油炒过程表面换热系数(hfp)无量纲预测关系式,用残差分析修正后的决定系数R2达到0.973。采用5组验证集数据对获得的无量纲预测关系式可靠性进行验证,理论模型预测值与实测数据计算值具有较高的一致性,两者的平均相对误差为2.79%。由此表明:量纲分析法用于油炒过程中流体—颗粒表面换热系数的预测,具有可靠性和普适性,可为食品烹饪及加工提供一定理论参考。
        Based on the four dimensionless factors derived by dimensional analysis,the dimensionless prediction model for fluidto-particle surface heat transfer coefficients(hfp)was fitted by multivariate regression analysis.After modified the model with the residual analysis method,the final corrected coefficient of determination values R2 reaches 0.973.Furthermore,the five groups of verification set data were used to verify the accuracy of the constructed model,the predicted value of the theoretical model had a high consistency with the calculated value of the measured data,and the average relative error was 2.79%.The research indicated that dimensional analysis combined with numerical simulation has advantages of good reliability and wide applicability on oil frying process hfp predict,which can meet the needs of food processing and cuisine engineering.
引文
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