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In the optimization of machine tool components, Yan Huasheng introduced in detail the optimization method combining Matlab with BP neural network and genetic algorithm, and developed the corresponding program. To sum up, the general machine tool steps of the dynamic design of the grinding machine structure: the use of finite element software to establish a CAE analysis model of the grinding machine, theoretical calculation or test measured the parameters of the joint, into the machine model, through modal analysis, harmonic response analysis and other methods to find the key parts of the machine, based on the design principles of the machine tool, through sensitivity analysis, topology analysis and other dynamic optimization.

Without considering the influence of the stiffness of the rotating joint, or the rigid connection between the rotating table and the column, compared with the stiffness of the joint, the first four natural frequencies of the grinding machine have been greatly increased, and the corresponding vibration modes have also changed. It is further explained that the three-row roller turntable bearing is a sensitive component that affects the stiffness characteristics of the concave end face grinder of diesel engine nozzle, and the rigidity and mass of the rotary table and the column are too large, which points out the direction for the lightweight design of machine tool structure in the next chapter.

When the base is completely constrained, the natural frequency of the first four orders of the whole machine decreases compared with that of no constraints. In the first two orders of vibration modes, the relative displacement of the rotary table is the largest, and in the third order formation, the displacement of the top end of the column is the largest, and the elastic deformation between the rotary table and the column is small, which can be approximate to a rigid body.