Papers by Author: Chun Hong Zhang

Abstract: Knowledge base of milling feature machining based on relational database is proposed, using knowledge representation of production rules, according to the characteristics of feature machining knowledge. Tool selected reasoning mechanism and reasoning processes is presented basing the installed CNC milling tool database , and further reasoning is based on knowledge, milling tool selection method is implemented based on feature machining knowledge using the forward direction inference strategy .In the paper, a complete system of the selecting milling cutter is established. The system connects not only the theoretical knowledge but the expert’s experiences with the computer applications in order to provide a base of realizing the automatic mechanical processing. By the example of machining tool selection for complex surface, the selection process is described, and the system can select the tools to meet the processing requirements within a shot time, and has good versatility.

Abstract: The prediction of flatness is researched based on the simulation of virtual NC manufacture process. In this paper, a new interpolation-regression model is proposed, which is based on the simulation method of the finite element analysis and depends on MATLAB to realize the calculated algorithm of flatness error. In the model, on the premise of that the workpiece is completed the simulation, the information of numerous discrete points is acquired from the virtual workpiece. A new surface which is much closer to the workpiece morphology is generated by interpolation theory with statistics toolbox of MATLAB. The assessed datum of flatness is concluded by the theory of the multivariate linear regression. Synthesizing the original points and the created datum, the work calculates the flatness error and develops the flatness predicted system of virtual workpiece. The system can realize the vivid man-computer interaction in MATLAB.