Optimization of louvered-fin heat exchanger with variable louver angles

The optimization of the variable louver angle (Δθ) and initial louver angle (θi) for a louvered-fin heat exchanger was determined numerically using the conjugate gradient method. The area reduction ratio relative to a plain surface was the objective function to be maximized. A search for the optimal...

Full description

Saved in:
Bibliographic Details
Published inApplied thermal engineering Vol. 91; pp. 138 - 150
Main Authors Jang, Jiin-Yuh, Chen, Chun-Chung
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 05.12.2015
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:The optimization of the variable louver angle (Δθ) and initial louver angle (θi) for a louvered-fin heat exchanger was determined numerically using the conjugate gradient method. The area reduction ratio relative to a plain surface was the objective function to be maximized. A search for the optimal variable louver angle (Δθ) and initial louver angle (θi), in the ranges of +0° < Δθ < +4° and 18° < θi < 30°, respectively, was performed. The results show that the maximum area reduction ratios are 48.5%–55.2% for the optimal design of (Δθ, θi) at ReH = 133–1199 (Uin = 1.0–9.0 m/s). In order to validate the reliability of the numerical simulation procedure, a comparison of experimental and numerical simulation results was made with the scaled-up testing. This article shows the temperature for the scaled-up louvered fin as determined from infrared thermovision and numerical simulation, respectively. A comparison of images shows that both methods give similar temperature distributions across the entire louvered fin. In addition, it shows comparisons of j and f between the simulation and experimental results. The results show good agreements, with a maximum discrepancy of 12%. •Optimization of variable and initial louver angle was performed.•The maximum area reduction ratios may up to 44–51%.•Numerical results were validated by Infrared thermovision data.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:1359-4311
DOI:10.1016/j.applthermaleng.2015.08.009