Improved filtered mesoscale interphase heat transfer model--颗粒学报PARTICUOLOGY

Li, Y., Yu, Y., Zhang, C., Huang, Z., & Zhou, Q. (2021). Improved filtered mesoscale interphase heat transfer model. Particuology, 57, 176-186. https://doi.org/10.1016/j.partic.2020.12.008

Improved filtered mesoscale interphase heat transfer model

Yu Li ^a, Yaxiong Yu ^a, Chi Zhang ^b, Zheqing Huang ^a, Qiang Zhou ^{a c *}

a School of Chemical Engineering and Technology, Xi’an Jiao Tong University, Xi’an 710049, China
b AVIC Xi’an Flight Automatic Control Research Institute, Xi’an 710049, China
c State Key Laboratory of Multiphase Flow in Power Engineering, Xi’an Jiao Tong University, Xi’an 710049, China

10.1016/j.partic.2020.12.008

Volume 57, August 2021, Pages 176-186

Received 27 October 2020, Revised 4 December 2020, Accepted 13 December 2020, Available online 23 January 2021, Version of Record 2 March 2021.

E-mail: zhou.590@mail.xjtu.edu.cn

Highlights

• We proposed an improved filtered interphase heat transfer model.

• We estimated the predictability of the improved model in an a priori test.

• A priori tests show that our model gives satisfactory performance.

• Our model has superior performance at small filter sizes.

Abstract

Mesoscale structures that form in gas–solid flows considerably affect interphase heat transfer. A filtered interphase heat transfer model accounts for the effects of unresolved mesoscale structures is required in coarse-grid simulations. In the literature, researchers obtain the filtered interphase heat transfer coefficient using a correction (Q) to the microscopic interphase heat transfer coefficient. Available models are based on filtered data in the range 0 < Q < 1. However, the percentage of filtered data in the range Q < 0 and Q > 1 is non-negligible. This percentage can reach approximately 20% when the dimensionless filter size is smaller than 1.028 (66.7 × the particle diameter). We proposed an improved filtered interphase heat transfer model by considering the data in the range Q < 0 and Q > 1. We evaluated the predictive power of our model in an a priori test. Our model has much better performance than other models when the dimensionless filter size < 8.222.

Graphical abstract

Keywords

Gas–solid flows; Two-fluid model; Interphase heat transfer; Filtered model; Mesoscale

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