TY - GEN
T1 - A multi-objective genetic algorithm optimisation of plate-fin heatsinks
AU - Abdelsalam, Younis Osama
AU - Alimohammadi, Sajad
AU - Pelletier, Quentin
AU - Persoons, Tim
N1 - Publisher Copyright:
© IEEE / Therminic 2017.
PY - 2017/12/21
Y1 - 2017/12/21
N2 - Traditional plate-fin heatsinks are used in abundance in data centres and telecommunication systems for electronic integrated circuit and component cooling, without much regard for geometric shape optimisation. Any improvements in the effectiveness of the heatsinks impacts the energy consumed by the information communication and technology (ICT) centres and promote a more sustainable use of raw materials. This paper investigates the optimisation of plate-fin heatsinks in a forced cross-flow using a multi-objective genetic algorithm (Moga) combined with CFD simulations, by varying the fin angles. The main objective is to improve the heat dissipation rate by modifying geometric parameters (i.e., number, arrangement, and orientation of fins). For a generic heat sink test case, the optimised performance is examined in terms of thermal resistance, turbulence intensity, pumping power, coefficient of performance and j-factors. An increase in the effectiveness of heat dissipation is reported ranging from 11.2% to 18.1%.
AB - Traditional plate-fin heatsinks are used in abundance in data centres and telecommunication systems for electronic integrated circuit and component cooling, without much regard for geometric shape optimisation. Any improvements in the effectiveness of the heatsinks impacts the energy consumed by the information communication and technology (ICT) centres and promote a more sustainable use of raw materials. This paper investigates the optimisation of plate-fin heatsinks in a forced cross-flow using a multi-objective genetic algorithm (Moga) combined with CFD simulations, by varying the fin angles. The main objective is to improve the heat dissipation rate by modifying geometric parameters (i.e., number, arrangement, and orientation of fins). For a generic heat sink test case, the optimised performance is examined in terms of thermal resistance, turbulence intensity, pumping power, coefficient of performance and j-factors. An increase in the effectiveness of heat dissipation is reported ranging from 11.2% to 18.1%.
UR - http://www.scopus.com/inward/record.url?scp=85045848005&partnerID=8YFLogxK
U2 - 10.1109/THERMINIC.2017.8233784
DO - 10.1109/THERMINIC.2017.8233784
M3 - Conference contribution
AN - SCOPUS:85045848005
T3 - THERMINIC 2017 - 23rd International Workshop on Thermal Investigations of ICs and Systems
SP - 1
EP - 6
BT - THERMINIC 2017 - 23rd International Workshop on Thermal Investigations of ICs and Systems
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 23rd International Workshop on Thermal Investigations of ICs and Systems, THERMINIC 2017
Y2 - 27 September 2017 through 29 September 2017
ER -