Camshaft is one of the key components of vehicle engines. In this paper, an independent optimization and simulation module for camshaft grinding was developed. First an optimization algorithm based on the least square method was proposed according to the constant linear velocity mathematical model of the camshaft. The algorithm can be used to smooth speed curves and improve machining efficiency and accuracy. Then the real time dynamic simulation of the camshaft grinding process was finished to perform the machining status according to the optimized motion path of the process system components.

In order to solve the problem that selecting process parameters is difficult and inefficient in NC camshaft grinding, a case-based process expert system is presented, which takes frame method to present cases and utilizes case-based reasoning as the core mechanism of system. One of the typical cases of NC camshaft grinding which are stored in the case base of expert system is composed of three parts including description, solution and evaluation. The expert system generates a new case description according to the characteristics of camshaft to be processed, then forms an evaluation parameter from the similarity and the confidence. In the end, process intelligent matching is obtained by applying the system.

In order to enhance the processing accuracy, the surface quality and the processing efficiency of camshaft grinding, a processing parameters selection in NC camshaft grinding based on uniform design, neural network and genetic algorithm was proposed by using CNC8312A NC camshaft grinder to test training samples. The nonlinear mapping relation between processing requirements (inputs) and processing parameters (outputs) was achieved. By comparing the theoretical values with the output values of the neural network, and analyzing the errors between actual measurement results and processing quality requirements, a satisfied result was obtained by applying the model to actual production.

Virtual camshaft part is a very important information carrier for camshaft virtual high-speed grinding. The veracity and maturity of process correlation information, which holding on the virtual camshaft part, will directly determine the virtual high-speed grinding results’ authenticity and practicability. By analyzing geometrical structure and all kinds of process correlation attribute information, a method of process information parameterization of camshaft part for virtual high-speed grinding was presented in this paper, and a practicable function module of camshaft virtual part parameterization define was developed according with this mind.

In non-circular contour grinding process, a theoretical model of constant linear velocity grinding has been established based on the X-C Axis linkage motion principle of grinding machine. Based on this theoretical model, a numerical calculation model, which can be used for practical grinding process and can optimize and regulate the grinding speed, has be built by way of cubic spline fitting interpolation method. The calculated numerical result of this model can switch into NC code of some NC system. According to the motion principle of grinding machine, the geometry information of specific non-circle contour part and the real parameter of the grinding processing plan, the corresponding NC Programming function also has been modularized. An experiment has been done on the NC high speed camshaft grinding machine type of CNC8312A, and obtained the ideal processing effect.At the same time ,it also shows that the proposed method has strong practical feasibility and great practical value.