| Popis: |
Due to the size and material changes and the hard impurities of the cutting workpieces in the band sawing process, the load of the band saw blades changes greatly so as to easily break the blades. The load of the band saw blades in the cutting process is unbalanced so as to easily produce the deviation of the saw blade’s cutting path, even seriously affect the accuracy of the sawing. On the occasion of the heavy cutting to some materials, the artificial cutting is time consuming and laborious, and the efficiency is low. So there is an urgent need to develop the automatic weighing and measuring device for the band sawing machine. At the same time, the CNC technology is widely used in the high-level band saw machine. So the online detection technology of the band saw equipment is an important foundation for the solution of the above problems and the application of the numerical control technology [1-4]. Aiming at the lower automation, accuracy and efficiency of the domestic band sawing machine, this paper studies the real-time detection technology based on the sawing load, and the control system of the constant power sawing. The real-time detection technology based on the micro-deviation of the band saw’s trajectory and the deviation-correction control system are studied. The weight-detection technology based on the scan reconstruction of the surface profile size and the control system of the fixed weight are researched. That can improve the accuracy and efficiency of the band sawing machine and provide the foundation for the realization of the digital control of the band sawing machine. The fault diagnosis for the band sawing machine at home supplies usually the alarm information and the alarm lamp output when the proximity switch or contact switch collects the information over the designated station [5]. The fairly advanced band sawing machine has the HMI display to supply the alarm information. Those are low in the automatic diagnosis. The high-level CNC band sawing machine has the complex structure, and influenced by many factors. If the failure in the processing state can be not timely and accurately diagnosed, the machine will not be able to protect the manufacturing quality and accuracy. It will cause the waste to increase, the productivity to decline, or even result in a significant loss of the machine scrap. That urgently needs to introduce the dynamic monitoring and control with the intelligent diagnostic technology. The abnormal recognition and intelligent maintenance On li V rsi on O nly . |
