基于犹豫模糊决策的铸造工艺参数优化

Optimization of Casting Process Parameters Based on Hesitant Fuzzy Decision

针对铸造加工过程中工艺参数优化设计问题,提出一种基于犹豫模糊决策的参数优化方法.首先,通过消噪处理对铸造工艺过程的实验数据进行初次滤波;考虑到实验过程中存在质量波动,为充分利用实验数据中的有效信息,建立犹豫模糊决策矩阵.然后,将综合犹豫模糊距离与主效应分析相结合,寻找最优工艺参数组合.结果表明,该方法能有效改善铸件的质量特性,提高参数设计的稳健性,具有良好的实用性.

Aiming at the optimization problem of process parameters in casting process,a parameter optimization method based on hesitation fuzzy decision is proposed in this paper.Firstly,the experimental data of the casting process are initially filtered through the denoising process;Considering the quality fluctuations in the experimental process,a hesitant fuzzy decision matrix is established to make full use of the effective information in the experimental data.And then it is combining the hesitant fuzzy distance with the main effect analysis to find the optimal combination of process parameters.The results show that the proposed method can effectively improve the quality characteristics of castings and improve the robustness of parameter design,which has good practicability.