Research And Development Of New High-precision Networked Dynamic Balancing Machine

The dynamic balance of rotors has an important position in the industrial production.Calibration methods of the dynamic balancing machine mainly include the permanent calibration method,influence coefficient method and multiple linear regression method.The permanent calibration method is widely used because of its simple and convenient,but the influence of speed and rotors' mass is neglected in this method,so the measurement accuracy remains to improve.With the rapid development of information technology and network technology,networked manufacturing has become a development tendency for manufacturing enterprises.Networked manufacturing requires enterprises to manage the production capacity of different types of dynamic balancing machines effectively and complete the optimal allocation of production tasks and production schedule of real-time management.However,current dynamic balancing machines are often stand-alone operation which can't meet the need of network manufacturing.Besides,most of dynamic balancing machines can't save the dynamic balancing data,although some have data storage function,but can't achieve data sharing,so enterprises can't effectively manage the dynamic balancing data.When rotors' vibration problems occur after balancing,it's very difficult to achieve quality tracing.To solve above deficiencies,a new high-precision networked dynamic balancing machine has been developed in this paper.The main research contents are as follows:1.A new scheme of dynamic balancing machine with the structure of "MCU+tablet PC + cloud server" is put forward.The MUC as lower machine completes signal acquisition,and the tablet PC as upper machine is responsible for monitoring dynamic balance.The communication between upper and lower machines are achieved through USB interface.Besides,the historical data stored in local machines can be sent to the cloud server with WiFi and data-sharing can be realized.2.Measures to improve the measurement precision of the dynamic balancing machine has been researched from the dynamic characteristics of the supporting frame,circuit design and balance algorithm.The dynamic characteristics of the supporting frame have been analyzed through the finite element modal analysis,supporting frame stiffness calculation and modal test.Then the impact caused by the frame's lean due to the rail gap on the measurement has been analyzed.Design the pretreatment circuit of the microcomputer and use a low-pass filter and an adaptive tracking filter to accurately extract the unbalance signal.An improved calibration method based on interpolation method has been presented and integer period cross-correlation is employed to solve the unbalance3.The implementation scheme of the networked dynamic balancing machine is put forward.With the help of ERP and MES system,according to relevant parameters of rotors the dynamic balancing test tasks can be assigned automatically,and the production management of enterprises has been improved.With the MES the dynamic balancing measurement trace of rotors can be realized.The historical data stored in local machines can be sent to the cloud server with WiFi through the TCP protocol and data-sharing has been realized.4.The dynamic balancing tests indicate that the dynamic balancing machine developed in this paper has high measurement accuracy and plane separation.And error has been analyzed from the nonlinear of piezoelectric sensor,hardware measurement and unbalance correction.