Abstract: The thesis takes the column of a certain type of tool grinder as the research object, uses Solid Works to establish a three-dimensional model of the column, and then uses ANSYS Workbench software to analyze its static characteristics under typical working conditions. According to the analysis results of the static characteristics of the column, the multi-objective optimization design can be performed on the column. In multi-objective optimization design, first, the design variables are determined, and the sensitivity analysis is performed by orthogonal test, and the design variable with greater sensitivity is judged as the independent variable of the subsequent optimization design; then, the mathematical model is established by the second-order response surface method, and the evaluation function is constructed by the ideal point method; finally, the genetic algorithm is used to optimize the solution. The analysis results show that: the maximum deformation of the improved column is reduced by 8.6%, the maximum equivalent stress is reduced by 5.1%, the static performance is improved, and the optimization goal is achieved. At the same time, it can provide a theoretical basis for the optimization design of other types of tool grinder columns.