In the robust design method of casting process based on approximate model

due to only considering the parameter uncertainty

the approximate model cannot completely replace the real casting process

so there must be a big error in the optimization result.In order to improve the effectiveness of optimization results

a new robust optimization design method was proposed for low-pressure casting process based on double-layer Kriging iteration strategy

and the influence of approximate model uncertainty was introduced by analyzing the uncertainty

then

establishing a robust optimization model of low pressure casting process.Then the particle swarm optimization algorithm was used to obtain the optimal robust solution.Finally

an example shows that the robust optimization method proposed can obtain the solution of casting process with good robustness.