Machining precision and working efficiency of CNC machine tools

In order to improve the machining accuracy and working efficiency of CNC machine tools, the temperature of the CNC machine oil tank must be controlled within a certain range. On the one hand, the change of oil temperature directly affects the change of the temperature field of CNC machine tools, and the change of temperature field affects the change of displacement field. The displacement field changes inevitably affect the machining accuracy. On the other hand, the temperature changes, affecting the viscosity of the oil. Normally, the temperature rises and the viscosity of the oil drops. The viscosity is too high, the resistance is too large, which is unfavorable for starting and working of the hydraulic pump; if the viscosity is too low, it is easy to cause oil leakage and affect the stability of the entire hydraulic system. In addition, if the temperature is too high, it will affect the life of the hydraulic components and change the characteristics of the hydraulic oil itself. Introduction to the principle of fuzzy control of the fuel tank temperature. Anything is ambiguous in itself. It can even be defined as a different value, so the resulting set of theories, called paste mathematics. An important branch of fuzzy mathematics is fuzzy control. When dealing with complex problems, the fuzzy theory is closer to the objective existence rule. Especially for the time-varying and large-delay controlled objects, the fuzzy control is more accurate than the traditional control. Fuzzy control is based on artificial experience and does not require an accurate mathematical model for the controlled object. For the temperature control of the hydraulic fluid tank of CNC machine tools, the operator can easily observe the difference between the actual output temperature and the set temperature, and the change of the temperature difference. Therefore, design a two-input single-output fuzzy controller to realize fuzzy control. The fuzzy controller is composed of fuzzy, fuzzy inference decision and anti-fuzzification. Its main function is to realize fuzzy algorithm. The fuzzy controller is divided into two types: special and general. If a dedicated fuzzy controller is selected, the reasoning speed is fast, but the price is expensive and the flexibility is poor. We choose the general fuzzy controller. If the fuzzy inference decision is run by the MCU software in real time, it will take some time, which will lead to problems such as poor real-time performance. If the fuzzy fuzzification, fuzzy inference decision and defuzzification are obtained in advance, a fuzzy control table is obtained, and then the table is placed in the single chip microcomputer. When controlling, by controlling the output by looking up the table, the problem of poor real-time performance can be solved. (Finish)

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