LAPSE:2023.11867
Published Article
LAPSE:2023.11867
Multi-Objective Constructal Design for Square Heat-Generation Body with “Arrow-Shaped” High-Thermal-Conductivity Channel
Hongwei Zhu, Lingen Chen, Yanlin Ge, Shuangshuang Shi, Huijun Feng
February 28, 2023
Abstract
Based on the square heat-generation body (HGB) with “arrow-shaped” high-thermal-conductivity channel (HTCC) model established in the previous literature, we performed multi-objective optimization (MOO) with maximum temperature difference (MTD) minimization and entropy-generation rate (EGR) minimization as optimization objectives for its performance. Pareto frontiers with optimal set were obtained based on NSGA-II. TOPSIS, LINMAP, and Shannon entropy decision methods were used to select the optimal results in Pareto frontiers, and the deviation index was used to compare and analyze advantages and disadvantages of the optimal results for each decision method. At the same time, multi-objective constructal designs of the “arrow-shaped” HTCC were carried out through optimization of single degree of freedom (DOF), two DOF, and three DOF, respectively, and the thermal performance of the square heat-generation body under optimizations of different DOF were compared. The results show that constructal design with the MOO method can achieve the best compromise between the maximum thermal resistance and the irreversible loss of heat transfer of the square heat-generation body, thereby improving the comprehensive thermal performance of the square heat-generation body. The MOO results vary with different DOF, and optimization with increasing DOF can further improve the comprehensive thermal performance of square HGBs.
Keywords
arrow-shaped high-thermal-conductivity channel, constructal theory, entropy-generation rate, generalized thermodynamic optimization, maximum temperature difference, multi-objective optimization
Suggested Citation
Zhu H, Chen L, Ge Y, Shi S, Feng H. Multi-Objective Constructal Design for Square Heat-Generation Body with “Arrow-Shaped” High-Thermal-Conductivity Channel. (2023). LAPSE:2023.11867
Author Affiliations
Zhu H: Institute of Thermal Science and Power Engineering, Wuhan Institute of Technology, Wuhan 430205, China; Hubei Provincial Engineering Technology Research Center of Green Chemical Equipment, Wuhan 430205, China; School of Mechanical & Electrical Engineering
Chen L: Institute of Thermal Science and Power Engineering, Wuhan Institute of Technology, Wuhan 430205, China; Hubei Provincial Engineering Technology Research Center of Green Chemical Equipment, Wuhan 430205, China; School of Mechanical & Electrical Engineering [ORCID]
Ge Y: Institute of Thermal Science and Power Engineering, Wuhan Institute of Technology, Wuhan 430205, China; Hubei Provincial Engineering Technology Research Center of Green Chemical Equipment, Wuhan 430205, China; School of Mechanical & Electrical Engineering
Shi S: Institute of Thermal Science and Power Engineering, Wuhan Institute of Technology, Wuhan 430205, China; Hubei Provincial Engineering Technology Research Center of Green Chemical Equipment, Wuhan 430205, China; School of Mechanical & Electrical Engineering
Feng H: Institute of Thermal Science and Power Engineering, Wuhan Institute of Technology, Wuhan 430205, China; Hubei Provincial Engineering Technology Research Center of Green Chemical Equipment, Wuhan 430205, China; School of Mechanical & Electrical Engineering
Journal Name
Energies
Volume
15
Issue
14
First Page
5235
Year
2022
Publication Date
2022-07-19
ISSN
1996-1073
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PII: en15145235, Publication Type: Journal Article
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https://doi.org/10.3390/en15145235
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