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Acta Armamentarii ›› 2015, Vol. 36 ›› Issue (6): 1074-1081.doi: 10.3969/j.issn.1000-1093.2015.06.016

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Research on Control Strategy and Fault Diagnosis Method of Multi-system for Electrochemical Machining

WANG Fu-yuan1, ZHAO Jian-she2, TANG Lin3   

  1. (1.School of Mechanical Engineering, Yancheng Institute of Technology, Yancheng 224051, Jiangsu, China;2.College of Mechanical & Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, Jiangsu, China;3.School of Mechatronic Engineering, Xian Technological University, Xian 710021, Shaanxi, China)
  • Received:2014-07-09 Revised:2014-07-09 Online:2015-08-03
  • Contact: WANG Fu-yuan E-mail:wfyycit@163.com

Abstract: In order to improve the electrochemical machining precision, reliability and efficiency of the work pieces such as aero-engine blisk, automobile engine nozzle, etc, a new control system for electrochemical machining(ECM), which integrates machine motion, electrolyte conveying, temperature control, power supply and electrode vibration into one, is set up. A new multi-system control strategy and a fault diagnosis method are proposed. The integrated control system is composed of a main controller and several sub-controllers. The distributed architecture and modularized design are adopted in hardware structure. The collaborative control method based on multi-system is used in control strategy. The subsystems are controlled by the respective controller, and the sub-controllers are managed by the main controller; therefore, the whole system can be effectively controlled. In the failure diagnosis, a prefect machining information acquisition system is created, and the status of electrochemical machining is diagnosed by the procedures of feature extraction, processing and pattern recognition. The experiments prove that the control system has the high integration, fast response, convenient operation and high work efficiency. The multi-system can be used to avoid successfully the damage to work-piece and machining system caused by failures and improve the processing reliability.

Key words: manufaturing technology and equipment, non-traditional machining, electrochemical machining, integration system, collaborative control, fault diagnosis

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