The procedure of the parametric design and numerical simulation with application to sunflower heat sink is developed.The procedure is embodied into parametric design and numerical simulation software utilizing VB language

which can generate high quality hexahedral mesh automatically.The numerical simulation can also be performed automatically and the results about the entropy generation rate of fan-sink assembly can be characterized without resorting to anyone.Geometry parametric investigations are carried out to illustrate the effect of various design parameters on the performance of the fan-sink assembly by choosing one parameter at a time as the control variable which can be achieved quickly by the procedure

which can provide physical insight into the flow and heat transfer characteristics of the heat sinks and deep understanding for the optimization of the heat sinks.The multi-parameter constraint structural optimization procedure based on the combination algorithms of Design of Experiments(DOE)

Response Surface Models(RSM)

Genetic Algorithm(GA) and Mixed Integer Optimization(MOST)

is performed on the fan-sink assembly for the minimum of entropy generation rate with parallel CFD.Results show that the entropy generation rate of the optimal heat sink is decreased by 4.5％ compared to the initial design.