The invention relates to the technical field of heat dissipation of electronic devices, in particular to a multi-objective optimization method for a
microchannel heat sink turbulent flow
structure based on
nanofluid. The multi-objective optimization method comprises the steps that integrated computational fluid
mechanics simulation, a response surface method and an NSGA-II
algorithm are matched; the
system solves the problems that in the prior art, research on the synergistic effect of a
nanofluid and a turbulent flow structure is insufficient, and multi-objective optimization efficiency is low, firstly, a three-dimensional numerical model is constructed based on ANSYS, and
heat transfer and pressure drop characteristics under different parameters are simulated and quantified; secondly, establishing a
mathematical model of an input parameter and an output target by adopting a response surface method, and revealing a multi-parameter
coupling rule; and finally, performing multi-objective optimization on the synergistic effect by using an NSGA-II
algorithm, obtaining a
Pareto optimal solution set, and realizing the optimal balance of the heat dissipation performance and the
voltage drop. By adopting the technical scheme, through combination of numerical
simulation and experimental
verification, the optimization efficiency is remarkably improved, and the optimization cost is reduced. And a solution with theoretical preciseness and
engineering practicability is provided for thermal management of high-power electronic devices.