Process Parameters Optimization In NC Camshaft Grinding Based On The Neural Network And Genetic Algorithm

The current rapid developments of the automobile industry and the internal combustion engine industry have created a great demand for camshaft which is the crucial part of the automobile, the motorcycle, the internal combustion engine and the diesel engine. Along with the enhancement of environmental protection awareness, the characteristic of high environmental protection performance, low emissions, low consumption and low pollution are getting more and more important in engine's performance requirements. This tendency calls for improving the camshaft processing quality and raising its processing efficiency. Under these circumstances, the author carries on the modelings for the camshaft numerical control grinding process parameters and the influencing factors by using the Neural network and Genetic algorithm, and develops the camshaft numerical control grinding process parameters optimization modules using C++ Builder.The writer has made a simple introduction to the present research on the camshaft numerical control grinding process parameters in the synthesis. Then a series of primary factors reflecting camshaft grinding process parameters effect and affecting the choice of grinding parameters have been analyzed. Finally, the Neural network and Genetic algorithm models for the camshaft NC grinding process parameters has been established and the testing plans to conduct the case study to the models have been designed.The two models have been analyzed and compared through grinding experiment in this article: the BP neural network model and the genetic algorithm. The conclusion has indicated that the speed of the BP neural network model is slow but it's easy to search the partial optimum point. The genetic algorithm 's speed is faster and the optimization result is better.A user-friendly operation contact surface has been developed by using C++ Builder, and the choice optimization of the BP neural network model and the genetic algorithm technological parameters have been realized based on C++ Builder 6.0. It has been proved that camshaft NC grinding process parameters optimization module based on the genetic algorithm has good operational performance, extension and the versatility.