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Development Of Dynamic And Static Characteristics Detection And Bearing Preloading Force Analysis System For Electric Spindle

Posted on:2020-10-01Degree:MasterType:Thesis
Country:ChinaCandidate:L Q SongFull Text:PDF
GTID:2381330590494647Subject:Mechanical Manufacturing and Automation
Abstract/Summary:PDF Full Text Request
Since the 1980 s,precision and ultra-precision machining technology has become the most important part of the machinery manufacturing industry.Precision and ultraprecision machining technology not only directly affects the development of high-tech and national defense industry,but also affects the precision and surface quality of mechanical products and affects the market competitiveness of products.To achieve ultraprecision machining,ultra-precision machine tools are indispensable.Most ultraprecision machine tools on the market today use high-speed electric spindle design,so the corresponding research and development an electric spindle detection system is necessary.At present,many laboratories and research groups in China and abroad have developed detection systems for electric spindles,mainly measuring the diameter jump,shaft jump,rotation error,vibration,temperature rise and noise of the electric spindle.In the simulation analysis of the dynamic characteristics of the electric spindle,foreign scholars consider it more comprehensive and complex,and the domestic simulation results are quite different from the real situation.Research on bearing preload is mainly focused on traditional angular contact ball bearings.According to the main parameters and test index requirements of the MS290 electric spindle,a special detection system is designed and manufactured.The electric spindle detection system is divided into three parts: electric spindle detection platform,control system and auxiliary system such as lubrication and cooling.The electric spindle detection platform includes Platform base,V-shaped positioning block and clamping device.The electric spindle detection system realizes the functions of control,cooling and lubrication of the MS290 electric spindle.At the same time,the detection platform can also install the sensors required for detection to realize the detection of static stiffness and vibration of the electric spindle.In order to realize the detection and acquisition of the static stiffness and vibration of the electric spindle,analyze and calculate the collected data,the operation results are output in real time,the supporting detection software system is developed based on LabVIEW software.The physical signals such as displacement,vibration,and acceleration generated by the electric spindle are transmitted as analog signals by sensors and then transmitted to the data acquisition board instaled on the industrial computer,and then the data is processed and analyzed by the detection software.Because the bearing preload force is not convenient to measure,ANSYS simulation analysis is used instead of the experimental research.By modeling and analyzing the MS290 electric spindle,the relationship between the bearing preload force and the natural frequency of the spindle is obtained,and then the optimal bearing preload of the electric spindle is estimated.Finally,through a considerable number of experiments,the vibration and static stiffness values of the MS290 electric spindle were obtained,and the experimental data were analyzed and calculated,and obtain the uncertainty of the static stiffness value of the electric spindle.The MS290 electric spindle detection system developed in this paper integrates the detection equipment and the data processing software.It is easy to operate,highly reliable,and versatile.It can realize the detection of multi-type electric spindle by changing the parameters,and can evaluate the test results.Effective replacement of manual testing.
Keywords/Search Tags:electric spindle, detection systems, vibration detection, uncertainty
PDF Full Text Request
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