Multi-objective NSGA-II based shape optimisation of the cross-sectional shape of passively cooled heat sinks. Issue 3 (16th July 2021)
- Record Type:
- Journal Article
- Title:
- Multi-objective NSGA-II based shape optimisation of the cross-sectional shape of passively cooled heat sinks. Issue 3 (16th July 2021)
- Main Title:
- Multi-objective NSGA-II based shape optimisation of the cross-sectional shape of passively cooled heat sinks
- Authors:
- Santhanakrishnan, Mani Sekaran
Tilford, Tim
Bailey, Chris - Abstract:
- Abstract : Purpose: The purpose of the study is to optimise the cross-sectional shape of passively cooled horizontally mounted pin-fin heat sink for higher cooling performance and lower material usage. Design/methodology/approach: Multi-objective shape optimisation technique is used to design the heat sink fins. Non-dominated sorting genetic algorithm (NSGA-II) is combined with a geometric module to develop the shape optimiser. High-fidelity computational fluid dynamics (CFD) is used to evaluate the design objectives. Separate optimisations are carried out to design the shape of bottom row fins and middle row fins of a pin-fin heat sink. Finally, a computational validation was conducted by generating a three-dimensional pin-fin heat sink using optimised fin cross sections and comparing its performance against the circular pin-fin heat sink with the same inter-fin spacing value. Findings: Heat sink with optimised fin cross sections has 1.6% higher cooling effectiveness than circular pin-fin heat sink of same material volume, and has 10.3% higher cooling effectiveness than the pin-fin heat sink of same characteristics fin dimension. The special geometric features of optimised fins that resulted in superior performance are highlighted. Further, Pareto-optimal fronts for this multi-objective optimisation problem are obtained for different fin design scenarios. Originality/value: For the first time, passively cooled heat sink's cross-sectional shapes are optimised for differentAbstract : Purpose: The purpose of the study is to optimise the cross-sectional shape of passively cooled horizontally mounted pin-fin heat sink for higher cooling performance and lower material usage. Design/methodology/approach: Multi-objective shape optimisation technique is used to design the heat sink fins. Non-dominated sorting genetic algorithm (NSGA-II) is combined with a geometric module to develop the shape optimiser. High-fidelity computational fluid dynamics (CFD) is used to evaluate the design objectives. Separate optimisations are carried out to design the shape of bottom row fins and middle row fins of a pin-fin heat sink. Finally, a computational validation was conducted by generating a three-dimensional pin-fin heat sink using optimised fin cross sections and comparing its performance against the circular pin-fin heat sink with the same inter-fin spacing value. Findings: Heat sink with optimised fin cross sections has 1.6% higher cooling effectiveness than circular pin-fin heat sink of same material volume, and has 10.3% higher cooling effectiveness than the pin-fin heat sink of same characteristics fin dimension. The special geometric features of optimised fins that resulted in superior performance are highlighted. Further, Pareto-optimal fronts for this multi-objective optimisation problem are obtained for different fin design scenarios. Originality/value: For the first time, passively cooled heat sink's cross-sectional shapes are optimised for different spatial arrangements, using NSGA-II-based shape optimiser, which makes use of CFD solver to evaluate the design objectives. The optimised, high-performance shapes will find direct application to cool power electronic equipment. … (more)
- Is Part Of:
- International journal of numerical methods for heat & fluid flow. Volume 32:Issue 3(2022)
- Journal:
- International journal of numerical methods for heat & fluid flow
- Issue:
- Volume 32:Issue 3(2022)
- Issue Display:
- Volume 32, Issue 3 (2022)
- Year:
- 2022
- Volume:
- 32
- Issue:
- 3
- Issue Sort Value:
- 2022-0032-0003-0000
- Page Start:
- 1025
- Page End:
- 1045
- Publication Date:
- 2021-07-16
- Subjects:
- CFD -- Natural convection -- Genetic algorithm -- Heat sink design -- Shape optimisation
Heat -- Transmission -- Mathematics -- Periodicals
Fluid dynamics -- Mathematics -- Periodicals
536.2 - Journal URLs:
- http://info.emeraldinsight.com/products/journals/journals.htm?id=hff ↗
http://www.emeraldinsight.com/ ↗ - DOI:
- 10.1108/HFF-10-2020-0656 ↗
- Languages:
- English
- ISSNs:
- 0961-5539
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.406100
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British Library STI - ELD Digital store - Ingest File:
- 25314.xml