TY - JOUR
T1 - Fast approach of Pareto-optimal solution recommendation to multi-objective optimal design of serpentine-channel heat sink
AU - Chen, Yi
AU - Peng, Bei
AU - Hao, Xiaohong
AU - Xie, Gongnan
PY - 2014/9/5
Y1 - 2014/9/5
N2 - A multi-objective structural design of a serpentine channel heat sink is presented in this paper. In the structural modelling of the heat sink, channel width, fin width, channel height and inlet velocity are defined as the design variables, 'total thermal resistance' and the 'pressure drop' as the two objectives, subject to constraints of fixed length and width of the heat sink. In this study, a multi-objective artificial swarm fish algorithm with a variable population size using a non-dominated sorting method (MOAFNS) has been developed to handle the optimisation, in which fast approach of Pareto-optimal solution recommendation using the Pareto risk index is proposed to handle the optimal trade-offs between the two conflicting thermal objectives. Then, the optimal solutions have been validated by performing related experiments. The Pareto-front indicates a trade-off between 'total thermal resistance' and 'pressure drop'. Numerical results and experimental data have reached an agreement that reduction in both thermal resistance and pressure drop can be achieved via determination of channel configuration and inlet velocity using MOAFNS, which results in desired thermal performance of the heat sink.
AB - A multi-objective structural design of a serpentine channel heat sink is presented in this paper. In the structural modelling of the heat sink, channel width, fin width, channel height and inlet velocity are defined as the design variables, 'total thermal resistance' and the 'pressure drop' as the two objectives, subject to constraints of fixed length and width of the heat sink. In this study, a multi-objective artificial swarm fish algorithm with a variable population size using a non-dominated sorting method (MOAFNS) has been developed to handle the optimisation, in which fast approach of Pareto-optimal solution recommendation using the Pareto risk index is proposed to handle the optimal trade-offs between the two conflicting thermal objectives. Then, the optimal solutions have been validated by performing related experiments. The Pareto-front indicates a trade-off between 'total thermal resistance' and 'pressure drop'. Numerical results and experimental data have reached an agreement that reduction in both thermal resistance and pressure drop can be achieved via determination of channel configuration and inlet velocity using MOAFNS, which results in desired thermal performance of the heat sink.
KW - Fast Pareto-optimal solution recommendation
KW - Mean average precision
KW - Mean standard deviation
KW - Multi-objective swarm fish algorithm
KW - Pareto risk index
KW - Serpentine channel heat sink
UR - http://www.scopus.com/inward/record.url?scp=84901928368&partnerID=8YFLogxK
U2 - 10.1016/j.applthermaleng.2014.05.004
DO - 10.1016/j.applthermaleng.2014.05.004
M3 - 文章
AN - SCOPUS:84901928368
SN - 1359-4311
VL - 70
SP - 263
EP - 273
JO - Applied Thermal Engineering
JF - Applied Thermal Engineering
IS - 1
ER -