Research On Operation State Evaluation Method Of High-Speed Motorized Spindle System

China’s economy has entered a period of new normal,automation and Internet technology have also been rapidly developed.However,with the industry 4.0 strategy concept proposed by Germany,Chinese equipment manufacturing industry is now facing great opportunities and challenges.High speed precision CNC machine tool is the key to the development of equipment manufacturing industry,and the performance of high speed precision CNC machine tools depends on the performance of high-speed spindle.The spindle unit is the key component for high-speed precision machining,as well as the vulnerable parts in the machine tool’s functional component.It is easily damaged under the tough working condition,improper operation or parts wearing.And it will also require maintenance or repair due to the apparent decrease in accuracy in the long term use.The study of operating state evaluation of high-speed motorized spindle system is of great practical significance for improving the machining efficiency of CNC machine tools,arranging equipment maintenance and extending equipment service life reasonably.In this thesis,100MD60Y4 spindle was taken as the research object to analyze the main index that affects the operating status of the spindle,the operational state evaluation model of the optimal combination weight was established,and the operating state evaluation method of the spindle was studied.The main work is as follows:(1)By analyzing the working principle of the spindle system and the common spindle faults,the vibration quantity,the temperature rise and the working efficiency of the motor were determined as the evaluation index to evaluate the operating state of the motorized spindle.(2)Through the weighted comprehensive index established by the reasonable weighting method,the information contained in each evaluation index of the motorized spindle was fused to determine the weight of each evaluation index of high speed motorized spindle operating state,and using the principle of optimization,the subjective weighting method and the objective weighting method were used to determine the weight division of indexes.(3)The state data model for the evaluation of operating status of the motorized spindle was established.The k-means clustering method was used to cluster the experimental data,and the data categories were divided initially and then classified by state-level fuzzy analysis.(4)The on-line evaluation model of the motorized spindle operating status was established.The Fisher discriminant method was used to match the status of the sample data to find the online evaluation of the operating status of the spindle and the cause of the deterioration.The experimental results indicated that the method proposed in this thesis can identify the different operating states of the spindle more clearly,and according to contribution graph method,the main indicators of deterioration were found through the contribution of different variables to the deterioration process,and the reason of deterioration was traced back by the evaluation index system,which proves that the evaluation model is feasible and practical.This research can provide new ideas and methods for the intelligent research of high-speed spindles and lay a theoretical and method foundation for the application of high-speed spindle system on-line monitoring technology in precision CNC machining.