Computational fluid dynamics study in multi-microchannels cooling system

Noor Azman, Sharul Azri and Mohd Rasid, Nur Farzana and Mohamad Sahar, Amirah (2023) Computational fluid dynamics study in multi-microchannels cooling system. Mathematics Letters, 2 (2): 4. pp. 42-56. ISSN eISSN: 2948-3735
Abstract

The demand for efficient cooling systems in various industrial applications has prompted the exploration of innovative heat transfer technologies. This research focuses on the computational fluid dynamics (CFD) study of a multi-microchannels cooling system, aiming to enhance thermal management and optimize heat dissipation. The objective of this study is to investigate the flow characteristics, heat transfer performance, and pressure drop behavior within a multi-microchannels cooling system. A numerical simulation approach based on CFD techniques is employed to analyze the fluid flow and heat transfer phenomena. The cooling system consists of an array of microchannels with intricate geometries, enabling enhanced convective heat transfer and increased surface area for improved thermal dissipation. Initially, a comprehensive literature review is conducted to identify existing studies and advancements in microchannel heat transfer. The CFD simulations are then performed to evaluate the fluid flow distributions, temperature distributions, and heat transfer coefficients within the multi-microchannels system under various operating conditions. The results of this study provide valuable insights into the thermal performance of the multi-microchannels cooling system. The impact of parameters such as fluid flow rate is analyzed and discussed. Furthermore, the findings contribute to the understanding of flow distribution and thermal uniformity within the cooling system, enabling optimization of the design and operational parameters. The outcomes of this research offer significant implications for the development of advanced cooling systems in various industries, including electronics cooling, energy systems, and automotive applications. The computational approach employed in this study provides a cost-effective and time-efficient method for analyzing and optimizing the performance of complex cooling systems.

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