LAPSE:2023.36762
Published Article
LAPSE:2023.36762
Numerical Optimization Study of the Resistance Coefficient of U-Shaped Air Distributor
Zhijing Wu, Jinfeng Wang, Jing Xie
September 21, 2023
In this paper, the optimization of the flow channel structure of the U-shaped air distributor is proposed. Fluent meshing was used to mesh the multipatch meshing of the original model of the grid air distributor, and then the CFD numerical simulation was carried out by using Fluent 2022R1 to obtain the internal air flow state of the air distributor flow channel. Through the orthogonal experimental design and a comprehensive analysis method, the optimal size structure for resistance performance is obtained as S = 60 mm, RL = 125 mm, L = 160 mm, D = 100 mm, the resistance coefficient of the new structure as 1.375, and the pressure loss as 56.87 Pa, by using 3D modeling software (SOLIDWORKS 2015) and Fluent. Compared with the initial scheme, the resistance coefficient and pressure loss are reduced by 3.03% and 6.29%, respectively. To summarize, the research in this paper offers a substantial contribution to the realm of energy conservation and emission abatement in ship air conditioning systems, simultaneously furnishing invaluable guidance for the design of air distributors.
Keywords
air distributor, flow channel structure, orthogonal test design, pressure loss, resistance coefficient
Suggested Citation
Wu Z, Wang J, Xie J. Numerical Optimization Study of the Resistance Coefficient of U-Shaped Air Distributor. (2023). LAPSE:2023.36762
Author Affiliations
Wu Z: College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China
Wang J: College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China; Shanghai Professional Technology Service Platform on Cold Chain Equipment Performance and Energy Saving Evaluation, Shanghai 201306, China; National Experimental Te [ORCID]
Xie J: College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China; Shanghai Professional Technology Service Platform on Cold Chain Equipment Performance and Energy Saving Evaluation, Shanghai 201306, China; National Experimental Te [ORCID]
Journal Name
Processes
Volume
11
Issue
8
First Page
2405
Year
2023
Publication Date
2023-08-10
Published Version
ISSN
2227-9717
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Original Submission
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PII: pr11082405, Publication Type: Journal Article
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LAPSE:2023.36762
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doi:10.3390/pr11082405
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Sep 21, 2023
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Sep 21, 2023
 
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Calvin Tsay
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