Research On Quality Control Method Of M Type Gearbox Bearing Press Fitting

The shaft system is a key component of the M-type gearbox,with a large number of parts and high assembly accuracy requirements.Bearing press-assembly is the key process in M-type gearbox shafting assembly.Ensuring the assembly quality of the bearing pressing process is the key to quality control of M type transmission shafting.At present,the application of statistical process control in product quality control is getting more and more attention from enterprises.To assist enterprises,improve the assembly quality of M-type gearbox,the research on the quality control method of bearing press fitting process is carried out in this paper,in which the control chart theory is taken as the basis and the bearing press fitting process of M-type gearbox is taken as the research object.The following is the paper’s major work:First,the structure of the M-type gearbox is analyzed in detail.Through the analysis of the assembly process of the M-type gearbox shafting sub-assembly line,the bearing pressfitting process is determined as the key process.By analyzing the relationship between the maximum press-fitting force,press-fitting force,and press-in amount during the bearing press-fitting process,the key quality characteristic value is determined as the press-fitting force.Controlling the pressing force is advantageous for increasing the certification rate of M-type gearbox items.Second,the quality control study of M-type gearbox bearing press-fitting is carried out using the statistical process control technique.Analyze the bearing press-fitting process’ s quality characteristics and pick a control chart.Minitab software is used to create the x-R control charts.The method of calculating the process capability index of the bearing pressfitting process is investigated.Through comprehensive analysis,a quality control strategy is put forward to solve the problem of the insufficient capacity of the bearing pressing process.Then,the categorization,occurrence,and cause of the control chart pattern are studied.To minimize the dimension of statistical and form elements in control chart data,principal component analysis is utilized.A support vector machine control chart recognition model based on particle swarm optimization is developed.On this foundation,the Monte Carlo technique is utilized to mimic the original sample data collected during the M-type gearbox bearing pressing assembly.Through simulation data,the suggested approach may improve recognition accuracy in control chart pattern recognition.The actual bearing pressing data further proves that this method can intelligently monitor the bearing pressing process of an M-type transmission and effectively improve the quality of the M-type transmission shaft system.Finally,through the study of relevant theories and key quality control technologies,a quality control system is designed and developed based on the bearing pressing process,which solves the quality control problem of the m-type gearbox bearing pressing process.The system has been applied to the quality control process of bearings for press fitting in a company.