Research On Cylinder Grinding Optimization Based On Expert Control System

With the rapid development of the technology in the manufacturing industry,the traditional grinding technology and equipment in the post-processing of castings in China are relatively backward,and the traditional grinding technology needs to be optimized.The generation,development and wide application of expert control systems provide us with a new way to optimize the grinding process of the cylinder.In view of the current low efficiency of robot grinding,this thesis proposes a solution to combine traditional grinding control technology with the expert control system,and carries out research on cylinder grinding optimization based on expert control system to make up for the shortcomings of traditional robots in the process of grinding control.Firstly,in this thesis,the engine cylinder was chosen as the research object,the expert control system is used to optimize the grinding control of the cylinder surface.According to the experience of human experts in the field of grinding,the grinding rules are discussed and stored in the knowledge base in the form of independent documents by the knowledge engineers;The expert control system of grinding optimization analyzes the current grinding status and expected goals,and generates corresponding data in the knowledge base;Finally,the appropriate combination of process parameters is generated and presented on the optimized inference display interface to optimize the process of cylinder grinding.Secondly,this study combines BP neural network technology and fuzzy control technology with expert control system,by establishing BP neural network based on surface roughness prediction model,it is embedded into the expert control system.The advantage of real-time reasoning with the expert control system and the benefits of BP neural network's self-learning can be effectively combined to achieve the optimization process of the cylinder surface roughness,thereby optimizing the surface roughness of the cylinder;In addition,by establishing the expert control system based on fuzzy control,the fuzzy controller is used to blur the grinding characteristic data to form the corresponding fuzzy rules,and the fuzzy Rete algorithm is used to match the real-time parameters with the polishing rules,and the fuzzy inference mechanism is used to optimize the reasoning,so as to optimize the grinding trajectory of the cylinder surface.Finally,this thesis uses information technology to build a Web-based expert control system to optimize the grinding process.It has been verified by experiments that the optimized grinding process can effectively reduce the surface roughness of the cylinder after grinding and optimize the grinding trajectory,thereby improving the surface quality and grinding efficiency.The results of this research can not only improve the production efficiency of enterprises,but also reduce the labor intensity of workers,reducing environmental pollution,and saving production costs of enterprises,which has certain theoretical significance and application value of engineering.