Performance analysis and optimization of a radiating fin array

Author:

Solak Kübra1ORCID,Arslantürk Cihat2ORCID

Affiliation:

1. Department of Mechanical Engineering, Çorlu Faculty of Engineering, Tekirdağ Namık Kemal University, Tekirdağ, Turkey

2. Department of Mechanical Engineering, Faculty of Engineering, Ataturk University, Erzurum, Turkey

Abstract

Space radiators are used to reject waste heat from power units, electronic devices, and various equipment in space vehicles. It is important that radiators can achieve the heat desired to be dissipated into space with the least mass. With a view to ensuring this aim, the heat transfer calculations that must be performed must be highly accurate. Therefore, the variation of conductivity with temperature should also be taken into account in the mathematical model. This paper presents heat transfer performance and optimization of a fin array consisting of straight fins put axially on a tube and radiating heat into deep space. The mathematical model yields the governing equation as a highly nonlinear integro-differential equation which is solved by the variation of parameters method (VPM). By applying an appropriate optimization procedure, the conduction–radiation parameter, Nc, providing maximum heat transfer is obtained for a given fixed fin profile emissivity, ε, opening angle among the fins, γ, and thermal conductivity parameter describing the variation of thermal conductivity, β. For the range of suitable problem parameters, optimum values of the dimensionless conduction–radiation parameter Nc, which is a combination of thermal and geometric quantities, are expressed in ε and γ for a given β. The correlation equations are expected to provide remarkable benefits to the designer.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Aerospace Engineering

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Novel Heat Dissipation Optimization Design Scheme of Printed Circuit Board;2024 3rd International Conference on Energy, Power and Electrical Technology (ICEPET);2024-05-17

2. Machine learning-based prediction of heat transfer performance in annular fins with functionally graded materials;Scientific Reports;2024-04-16

3. Optimization of novel flat serial single-phase radiators for spacecraft thermal control;Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering;2023-04-17

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