Proceedings of the 2018 3rd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2018)

Multi-factors Optimization Design of Pin-Fin Structure Using Respond Surface Method

Authors
Xiang Wang, Min Chen, Derrick Tate
Corresponding Author
Xiang Wang
Available Online May 2018.
DOI
https://doi.org/10.2991/amcce-18.2018.127How to use a DOI?
Keywords
Response surface method, pin-fin, optimization, pressure loss, thermal resistance
Abstract
This study aims to find out the optimized solution for coupled effects of parameters. Different turbulence models were studied and RSM (Response Surface Methodology) was the most appropriate one to deal with optimization of target and investigate interaction of different parameters. In design height and diameter of cylindrical pin-fin was adopted as control parameters, according to numerical simulation the thermal resistance and pressure loss of pin-fin heat sink indicated improving tendency with increasing the both parameters. Sensitivity analysis was conducted to investigate the correlation of two geometrical parameters to response target. Less head loss and better cooling efficiency were achieved from an optimized structure.
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Proceedings
2018 3rd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2018)
Part of series
Advances in Engineering Research
Publication Date
May 2018
ISBN
978-94-6252-508-5
ISSN
2352-5401
DOI
https://doi.org/10.2991/amcce-18.2018.127How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xiang Wang
AU  - Min Chen
AU  - Derrick Tate
PY  - 2018/05
DA  - 2018/05
TI  - Multi-factors Optimization Design of Pin-Fin Structure Using Respond Surface Method
BT  - 2018 3rd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2018)
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/amcce-18.2018.127
DO  - https://doi.org/10.2991/amcce-18.2018.127
ID  - Wang2018/05
ER  -