A numerical investigation on heat transfer characteristics of a particle cluster in fluid with variable properties--颗粒学报PARTICUOLOGY

Li, X., Wang, H., Zhang, B., & Jin, H. (2024). A numerical investigation on heat transfer characteristics of a particle cluster in fluid with variable properties. Particuology, 94, 327-344. https://doi.org/10.1016/j.partic.2024.08.019

A numerical investigation on heat transfer characteristics of a particle cluster in fluid with variable properties

Xiaoyu Li, Huibo Wang, Bowei Zhang, Hui Jin^*

State Key Laboratory of Multiphase Flow in Power Engineering, Xi'an Jiaotong University, Xi'an, 710049, China

10.1016/j.partic.2024.08.019

Volume 94, November 2024, Pages 327-344

Received 13 July 2024, Revised 26 August 2024, Accepted 27 August 2024, Available online 10 September 2024, Version of Record 18 September 2024.

E-mail: jinhui@mail.xjtu.edu.cn

Highlights

• Effects of variations in thermal properties on heat transfer of different particles.

• Division of effective regions based on particle heat transfer results.

• Proposal of a heat transfer exponent model.

Abstract

This work investigates the heat transfer characteristics of particle clusters under the effects of the complex properties of supercritical water (SCW). It analyzes the heat transfer characteristics of sub-particles and the average heat transfer characteristics of particle clusters. The results reveal a phenomenon of shifting positions of high specific heat regions. It led to variations in the dimensionless heat transfer coefficient distribution. Furthermore, the results indicate that as the heat transfer process strengthens, the effects of variations in property distribution on heat transfer tends to stabilize. Based on this conclusion, the effects of variations in property distribution on heat transfer are categorized into Stable Effects Region and Non-Stable Effects Region. By utilizing the principles of fluid flow-heat transfer coupling and similarity, a heat transfer prediction model for particle clusters in SCW is established.

Graphical abstract

Keywords

Heat transfer; Supercritical water; Particle cluster; Modeling

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