Determination of the Optimum Operating Conditions and Geometrical Dimensions of the Plate Fin Heat Sinks Using Teaching-Learning-Based-Optimization Algorithm

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dc.authoridKuru, Muhammet Nasif/0000-0002-5941-1221
dc.contributor.authorKuru, Muhammet Nasif
dc.date.accessioned2025-03-17T12:25:36Z
dc.date.available2025-03-17T12:25:36Z
dc.date.issued2023
dc.departmentTarsus Üniversitesi
dc.description.abstractElectronic devices must be effectively cooled for long-term reliability and safe operation. It is essential to determine operating conditions and optimum dimensions of cooling devices in terms of device weight, space, cost, and sound limits. Plate fin heat sinks (PFHSs) are frequently used for cooling electronic devices. Optimum thermal designs of PFHSs are explored in this study using a teaching-learning-based-optimization (TLBO) algorithm where entropy generation ( S (gen) ) minimization, profit factor ( J ) maximization, base plate temperature excess ( ? (b) ) minimization, total mass ( mass ) minimization, and total volume ( volume ) minimization are the objective functions of the constrained single-objective optimization problems. For further investigations of the entropy generation minimization method, three different optimization problems are also studied: minimization of thermal resistance ( R (th) ), minimization of pressure drop ( ?P ), and minimization of pumping power ( W (pump) ). Each optimization problem is subjected to a constraint, namely, temperature excess of base plate temperature ( ? (b) ) should be lower than 10 K. Four optimization variables are considered which are the number of plate fins (N), freestream velocity ( V (f) ), the thickness of the fin ( t (fin) ), and height of the fin ( H (fin) ). Optimum configurations belonging to the different optimization problems are compared, and the effect of each optimization variable on the objective functions is discussed in detail. It is found that one can obtain optimum operating conditions and geometrical dimensions of the PFHSs according to the design objective, i.e., minimum mass requirement, space limitation, minimum base plate requirement, etc. As a result, the optimum designs of the studied cases are different which are superior to each other in terms of design targets.
dc.identifier.doi10.1115/1.4056299
dc.identifier.issn2832-8450
dc.identifier.issn2832-8469
dc.identifier.issue6
dc.identifier.scopus2-s2.0-85165130828
dc.identifier.scopusqualityQ2
dc.identifier.urihttps://doi.org/10.1115/1.4056299
dc.identifier.urihttps://hdl.handle.net/20.500.13099/1772
dc.identifier.volume145
dc.identifier.wosWOS:001010125900010
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorKuru, Muhammet Nasif
dc.language.isoen
dc.publisherAsme
dc.relation.ispartofAsme Journal of Heat and Mass Transfer
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20250316
dc.subjectoptimum operating condition
dc.subjectoptimum geometrical dimensions
dc.subjectdesign
dc.subjectplate fin heat sinks
dc.subjectteaching-learning-based-optimization
dc.subjectentropy generation
dc.subjectprofit factor
dc.titleDetermination of the Optimum Operating Conditions and Geometrical Dimensions of the Plate Fin Heat Sinks Using Teaching-Learning-Based-Optimization Algorithm
dc.typeArticle

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