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Publication
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| Title of Article |
Optimal Fin Planting of Splayed Multiple Cross-Sectional Pin Fin Heat Sinks Using a Strength Pareto Evolutionary Algorithm 2
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| Date of Acceptance |
15 August 2020 |
| Journal |
| Title of Journal |
Advances in Computational Design, An International Journal |
| Standard |
SCOPUS |
| Institute of Journal |
Techno-Press |
| ISBN/ISSN |
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| Volume |
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| Issue |
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| Month |
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| Year of Publication |
2020 |
| Page |
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| Abstract |
This research aims to demonstrate the optimal geometrical design of splayed multiple cross-sectional pin
fin heat sinks (SMCSPFHS), which are a type of side-inlet-side-outlet heat sink (SISOHS). The optimiser strength
Pareto evolutionary algorithm 2 (SPEA2) is employed to explore a set ofPareto optimal solutions. Objective functions
are the fan pumping power and junction temperature. Function evaluations can be accomplished using computational
fluid dynamics (CFD) analysis. Design variables include pin cross-sectional areas, the number of fins, fin pitch,
thickness of heat sink base, inlet air speed, fin heights, and fin orientations with respect to the base. Design constraints
are defined in such a way as to make a heat sink usable and easy to manufacture. The optimum results obtained from
SPEA2 are compared with the straight pin fin design results obtained from hybrid population-based incremental
learning and differential evolution(PBIL-DE), SPEA2, and an unrestricted population size evolutionarymultiobjective
optimisation algorithm (UPSEMOA). The results indicate that the splayed pin-fin design using SPEA2 is superior to
those reported in the literature. |
| Keyword |
air-cooling heat sink; computational fluid dynamic simulation; strength Pareto evolutionary algorithm; multi-objective optimization; evolutionary computation |
| Author |
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| Reviewing Status |
มีผู้ประเมินอิสระ |
| Status |
ได้รับการตอบรับให้ตีพิมพ์ |
| Level of Publication |
นานาชาติ |
| citation |
false |
| Part of thesis |
true |
| Attach file |
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| Citation |
0
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Journal Publication
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