Machine tool thermal error compensation method based on augmented naive Bayes network

A technology of Bayesian network and compensation method, which is applied in the field of machine tool thermal error compensation based on enhanced naive Bayesian network, can solve the problems that the model accuracy and robustness are difficult to meet the high-speed and high-precision actual processing requirements, and achieve Easy to predict in real time, ensure accuracy, and improve the effect of machine tool processing accuracy

Active Publication Date: 2015-09-30
PANZHIHUA UNIV
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Problems solved by technology

In actual processing applications with strong time-varying working conditions, the accuracy and robustness of the above models are difficult to meet the actual high-speed and high-precision processing requirements

Method used

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  • Machine tool thermal error compensation method based on augmented naive Bayes network
  • Machine tool thermal error compensation method based on augmented naive Bayes network
  • Machine tool thermal error compensation method based on augmented naive Bayes network

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Embodiment Construction

[0042] The present invention will be further described below in conjunction with accompanying drawing.

[0043] combine figure 1 As shown, the method of thermal error compensation of machine tools based on enhanced naive Bayesian network includes the following steps:

[0044] Step 1, a plurality of sensors are arranged near the thermal key point on the machine tool; usually a plurality of temperature sensors and position sensors are arranged on the machine tool, and the sensor arranged near the thermal key point is a temperature sensor, and the arrangement of the sensor is determined by those skilled in the art. According to the conventional methods mastered, the layout position of the temperature sensor is generally based on the temperature that can accurately measure the temperature of the thermal key point; more than two; the thermal key point mainly includes the left bearing, the right bearing, the motor, the guide rail, the workbench and the Y direction. Friction joints,...

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Abstract

The invention discloses a machine tool thermal error compensation method based on an augmented naive Bayes network, and aims to effectively improve the machining precision of a machine tool. The method comprises the following steps: first, establishing a naive Bayes network classification model and a BAN network structure according to actually measured sample data; then, obtaining a conditional probability table through calculation and completing classification; finally, conducting corresponding compensation regulation on the machine tool through the real-time predication of thermal errors of the machine tool. According to the method, the thermal errors of the machine tools under specific work conditions can be predicted, the thermal error prediction can be more precise, the precision of thermal error compensation for the machine tool can be ensured, and the machining precision of the machine tool can be effectively improved.

Description

technical field [0001] The invention relates to a thermal error compensation method of a machine tool, in particular to a thermal error compensation method of a machine tool based on an enhanced naive Bayesian network. Background technique [0002] Among the factors that affect the processing accuracy of parts, the thermal error of the machine tool is one of the main reasons affecting the processing accuracy. In precision machine tool processing, the processing error caused by temperature changes can account for 60%-70%. Therefore, the thermal error of the machine tool can be effectively detected. The error and its compensation will greatly improve the machining accuracy. [0003] Existing research on thermal error modeling and compensation of CNC machine tools mainly focuses on establishing a mapping model between the temperature of key components of the machine tool and the overall thermal error of the machine tool to achieve the purpose of compensating the quasi-static th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B19/404
CPCG05B19/404
Inventor 魏弦
Owner PANZHIHUA UNIV
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