Development Of Ball Bearing Inner Raceway Characteristic Parameter Detection System

The ball screw pair is a key functional component widely used in mechanical transmission,and its accuracy directly affects the motion performance of mechanical equipment.As the core part of the ball screw pair,the ball nut has a complicated raceway and a narrow internal cavity.It is difficult to achieve high-efficiency and high-precision detection by common detection methods,which restricts the development of high-performance ball screws.Therefore,the research on the detection method and detection system of th e inner raceway characteristic parameters of the ball nut has important theoretical significance and engineering practice to promote the high-efficiency and high-precision automatic detection of the characteristic parameters of the inner race of the ball nut and improve the comprehensive performance of the ball screw pair.Value.The main work of the thesis is as follows:Based on the comparison of the current ball nut precision detection method,the non-contact ball nut accuracy detection method based on the spectral confocal principle is proposed.According to the detection principle of the spectral confocal sensor,the ball nut detection based on the four-axis detection platform is designed.The system scheme,with PMAC open CNC system as the controller,designed th e hardware scheme of the ball nut inner raceway characteristic parameter detection system,developed the ball nut inner raceway characteristic parameter detection equipment,and realized the efficiency of the inner raceway characteristic parameter data.collection.The error of the ball nut characteristic parameter detection system is analyzed.Based on the multi-body system motion transformation principle,the geometric transformation model of the ball nut inner raceway characteristic parameter detection system is established by using the second transformation matrix.The error main analysis is performed on the system.The geometric error is calibrated and the positioning error is compensated by motion.The installation form of the detection system is analyzed.The error model of the parallel axis of the Z axis and the rotary axis of the detection system is established respectively.The eccentricity error model of the ball nut is installed.And compensated for it,better solved the system error caused by the installation and the probe installation error function model.The calculation model of the characteristic parameters of the inner race of the ball nut is established.The original data is filtered by the chord height difference method to remove the data dead pixels.The measurement data is divided into the rolling circle data and the inner diameter linear data.Based on the least squares method,The raceway data is fitted to obtain the radius of the raceway arc.Based on this,the pitch and the helix angle of the inner race are calculated.The linear data of the inner diameter is fitted,and based on this,the calculation is performed.Parameters such as the inner diameter and inner diameter runout of the track.In order to analyze the stability of the detection system developed in this paper and the stability of the built-in characteristic parameters,the repetitive test is carried out.The results show that the developed system and the built-in calculation model have better stability and higher detection accuracy..Based on the QT development platform,the ball nut detection system software was developed.Based on the modular programming idea,the functions of data acquisition,motion control,parameter setting,data processing and result printing were programmed to automate the parameters of the inner race of the ball nut.Detection.and the rotary axis and the eccentricity error of the ball nut installation,are calibrated and compensated for the two errors.