Heat transfer analysis in particle-laden flows using the immersed boundary method--颗粒学报PARTICUOLOGY

Zaidi, A. A. (2024). Heat transfer analysis in particle-laden flows using the immersed boundary method. Particuology, 90, 394-403. https://doi.org/10.1016/j.partic.2024.01.005

Heat transfer analysis in particle-laden flows using the immersed boundary method

Ali Abbas Zaidi^*

Department of Mechanical Engineering, University of Manitoba, 75A Chancellors Circle, Winnipeg, R3T 5V6, Canada

10.1016/j.partic.2024.01.005

Volume 90, July 2024, Pages 394-403

Received 11 July 2023, Revised 29 November 2023, Accepted 10 January 2024, Available online 20 January 2024, Version of Record 8 February 2024.

E-mail: syed.zaidi@umanitoba.ca

Highlights

• Heat transfer in particle-laden flows is modelled using locally grid-refined immersed boundary method (IBM).

• Simulation results agree well with the literature results.

• Scaling study with multiple Central Processing Unit (CPU)s illustrates IBM's suitability for CPU clusters.

Abstract

This paper investigates an efficient immersed boundary method (IBM) for multiple-core CPU machines with local grid refinement for the calculation of heat transfer between fluids and finite-sized particles. The fluid momentum equations are solved by using the fractional step method, while the energy equation is solved by employing the second-order Adams-Bashforth method. For efficient load balancing between the CPU cores, the coupling between particles and fluid is obtained by applying the body force in the fluid equations, which depends on the solid volume fraction of particles contained in each grid cell, and then by linearly interpolating the particle temperature and velocity on the fluid grid cell (in place of the delta function commonly used in literature). Several test cases from the literature are studied, and good agreement is observed between the simulation results and the literature. Finally, a scaling study on multiple core machines is performed, demonstrating the proposed IBM's capabilities for a significant reduction in processing time.

Graphical abstract

Keywords

Heat transfer; Immersed boundary method; Particle resolved direct numerical simulations; Fluid solid interactions

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