The mortality, complication, and survival results were in the acceptable range. R0 resection and radical nodal dissection should be standard practice.

In this paper,we conducted circular cone turning cutting force measurement test by using orthogonal test method and YDCD piezoelectric unidirectional turning dynamometer,then analyzed the orthogonal test results with the intuitive analysis method. A BP neural network model between the cutting speed,feed rate,cutting depth and the main cutting force is established by using Matlab neural network toolbox and then to be verified. The verification results show that the BP neural network circular cone turning cutting force prediction model has very high prediction accuracy.

Plunge milling force experiment was designed based on the method of orthogonal experiment, selecting Cr12 mold steel as the experimental material for obtaining the measurement data. Combined with the experimental data, the empirical formula of the milling force model and BP neural network model were established respectively. The two types model are analyzed and compared. The results show that the BP neural network model has a better prediction effect than traditional empirical formula.

The paper takes the cold working die steel Cr12 for specimen material,carries out the plunge milling test on Cr12 and the plunge milling force has been measured by YDX - Ⅲ 9702 piezoelectric milling dynamometer. The tool deformations are analyzed both in plunge milling and side milling on the same size milling force. Test and analysis show that the axial milling force significantly greater than the other two directions and the tool deformation in plunge milling less than the tool deformation in the side milling.

This paper of simulation studying is mainly aiming for the typical part of multi-axis processing cylindrical cam by analyzing design drawings and technical requirements of processing, planning NC processing technology, creating cylindrical cam model and importing NC program to VERICUT simulation software. In this way, simulation of the entire machining process could be observed clearly.