Optimization of Zirconia Ceramic Grinding Process Parameters Based on Support Vector Machine and Snake Optimizer Algorithm
In order to explore the influence of grinding process parameters on the grinding temperature and normal grinding force of zirconia ceramics,a univariate model of grinding temperature and normal grinding force is established by single factor test and support vector machine method,and the model coefficients are greater than 0.93.According to the monary model,the hypothesis of the multivariate model is proposed,and the multivariate model is obtained by the orthogonal experimental results and the snake optimization algorithm,and the model is verified.The multivariate numerical model of temperature and normal grinding force is used as the objective function to optimize the temperature and normal grinding force.Based on the snake optimization algorithm,the process parameters are double-objective optimized to obtain the opti-mal solution of the grinding process parameters,and the experimental results verify that the model has high precision,and the optimal process parameters obtained are reasonable.
support vector machinesnake optimizer algorithmparameter optimizationzirconia ceramic