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Abstract

Based on the four dimensionless factors derived by dimensional analysis, the dimensionless prediction model for fluid-to-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 R2 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.

Publication Date

3-28-2019

First Page

33

Last Page

40

DOI

10.13652/j.issn.1003-5788.2019.03.006

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