The basic method of NC machine tool fault analysis
fault analysis is the first step of NC machine tool maintenance. Through fault analysis, on the one hand, it can quickly find out the cause of the fault and eliminate the fault; At the same time, it can also prevent the occurrence and expansion of faults. Generally speaking, the main methods of fault analysis of CNC machine tools are as follows:
1. Conventional analysis method
conventional analysis method is a method of routine inspection on the mechanical, electrical, hydraulic and other parts of CNC machine tools to judge the cause of faults: on CNC machine tools, The conventional analysis method usually includes the following contents:
(1) check whether the specifications of the power supply (including voltage, frequency, phase sequence, capacity, etc.) meet the requirements
(2 it should be installed on the concrete) check whether the connections of CNC, servo drive, spindle drive, motor and input/output signals are correct and reliable
automobile industry and aircraft manufacturing have always been one of the most important industrial sectors in Britain (3) check whether the printed circuit boards in CNC, servo drive and other devices are firmly installed and whether the connection parts are loose
(4) check whether the setting end of CNC servo drive, spindle drive and other parts and the setting and adjustment of potentiometer are correct
(5) check whether the oil pressure and air pressure of hydraulic, pneumatic and lubricating parts meet the requirements of the machine tool
(6) check whether there is obvious damage to the components of large-scale precision testing instruments composed of electrical components and machinery that give full play to the respective strengths of the motor, etc
2. Action analysis method
action analysis method is a method to trace the root cause of the fault by observing and monitoring the actual action of the machine tool, determining the bad part of the action
generally speaking, the parts of CNC machine tools that adopt hydraulic and pneumatic control, such as automatic tool change device, worktable exchange device, fixture and transmission C < 0.01 transmission device, can determine the cause of fault through action diagnosis
3. State analysis method
state analysis method is a method to determine the cause of failure by monitoring the working state of the actuator. This method is most widely used in the maintenance of CNC machine tools
in modern CNC system, the main parameters of servo feed system, spindle drive system, power module and other components can be tested dynamically and statically. These parameters include: input/output voltage, input/output current, given/actual speed, position, actual load, etc. In addition, the status of all input/output signals of the CNC system, including internal relays, timers, etc., can also be checked through the diagnostic parameters of the CNC system
through the state analysis method, the cause of the fault can be quickly found according to the internal state of the system without instruments and equipment. It is most widely used in the maintenance of CNC machine tools, and the maintenance personnel must be proficient
4. Operation and programming analysis method
operation and programming analysis method is a method to confirm the cause of failure through some special operations or compiling special test program segments. For example, the detection of actions and functions can be carried out by manual single step execution of automatic tool change, automatic exchange of workbench actions, execution of single function processing instructions and other methods. Through this method, the cause and components of the fault can be determined in detail, and the correctness of the programming can be checked
5. System self diagnosis method
self diagnosis of CNC system is a diagnosis method that uses the internal self diagnosis program or special diagnosis software of the system to self diagnose and test the key hardware and control software of the system. It mainly includes boot self diagnosis, monitoring and offline testing
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