Quality Control Of Machine Tool Remanufacturing Based On System Stability

Under the background of the large quantity of machine tool,long service life,low intelligence,great remanufacturing potential and green sustainable development,it is imperative to remanufacture the waste machine tool,so the promotion and guarantee of the quality of remanufacturing machine tool become very important.The assembly quality control of traditional remanufactured products mainly focuses on the control of product output quality,while the assembly system is not necessarily stable when the output quality is within the control limit,and this method of only controlling the output quality has a certain lag.When the abnormal system is found,a large number of unqualified products have been produced,which increases the production cost.Therefore,this paper mainly uses state-space model and particle swarm optimization algorithm to solve the quality control problem of machine tool remanufacturing assembly process.The main research content of this paper is as follows.(1)Research on dynamic quality control of machine tool remanufacturing assembly process.In order to solve the problem that assembly quality prediction and control lag due to parts uncertainty and operation process uncertainty in machine tool remanufacturing assembly process,a quality control method based on state space model and system stability and predictive control diagram was studied.Abstract the remanufacturing machine tool assembly process into a state space model,and obtain the quality transfer function of the machine tool remanufacturing assembly process by using the state space model.On the basis of the state space model and transfer function,the system stability and control diagram analysis is carried out,that is,the machine tool remanufacturing assembly process must satisfy the stability of the production system and quality control within the upper and lower limits.Otherwise,it is considered that the assembly system is abnormal,thus realizing the quality control mode of assembly process which combines stability and control chart.(2)Research on quality compensation model decision in machine tool remanufacturing assembly process.In view of the problems of high manufacturing cost,large carbon emission and poor quality in machine tool remanufacturing enterprises,the compensation decision of quality out of control limit was studied under different compensation modes.Different compensation modes were proposed mainly according to the requirements of enterprises,and a specific compensation mode was selected in actual production,and the optimal input parameters of parts were obtained by combining particle swarm optimization algorithm.Then,according to the solved parameters,the compensation parameters are satisfied by the parts classification and the adjustment of the parts position,and the assembly compensation under different compensation modes is realized.(3)Design and implementation of machine tool remanufacturing assembly quality control system.Aiming at the problems of low data utilization rate in the remanufacturing process and not effective analysis of abnormal data,the design and implementation of machine tool remanufacturing assembly quality control system based on Windows system,Python language and My SQL database was studied.Using Python language programming interface and logic,connected to My SQL database to achieve manufacturing process data acquisition,data storage,quality control and compensation and other functions.The research shows that the combination of system stability and predictive control chart can effectively control the quality of remanufactured machine tools,and different compensation modes can also meet the actual needs of enterprises,improve assembly quality and reduce assembly costs.