Thermal Error Prediction Method of Machine Tool Spindle Based on Genetic Algorithm and Wavelet Neural Network

A technology of wavelet neural network and machine tool spindle, which is applied in the thermal error prediction of machine tool spindle, and in the field of thermal error prediction of machine tool spindle based on genetic algorithm wavelet neural network, which can solve the unsatisfactory effect of thermal error compensation of machine tools and the difficulty of accurately establishing thermal error compensation Model and other issues

Inactive Publication Date: 2019-01-04
TSINGHUA UNIV
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Among them, the artificial neural network model has been widely used in recent years and has achieved some successful applications, but it is diff...

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  • Thermal Error Prediction Method of Machine Tool Spindle Based on Genetic Algorithm and Wavelet Neural Network
  • Thermal Error Prediction Method of Machine Tool Spindle Based on Genetic Algorithm and Wavelet Neural Network
  • Thermal Error Prediction Method of Machine Tool Spindle Based on Genetic Algorithm and Wavelet Neural Network

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Embodiment Construction

[0063] The present invention will be further described below through the embodiments in conjunction with the accompanying drawings.

[0064] see figure 1 , a method for predicting the thermal error of a machine tool spindle based on a genetic algorithm wavelet neural network, which specifically includes the following steps:

[0065] 1) The spindle of the machine tool runs at the set spindle speed, and the temperature sensor is used to measure the temperature of the key temperature measuring point of the machine tool and the temperature data of the processing environment, and the displacement sensor is used to obtain the thermal error data of the spindle of the machine tool; the temperature sensor can use a contact resistance temperature sensor, The displacement sensor should adopt a non-contact laser displacement sensor.

[0066] Taking a certain type of five-axis swing horizontal machining center as an example, its basic structure and factors that may cause thermal errors ar...

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Abstract

The invention relates to a method for predicting the thermal error of a machine tool spindle based on a genetic algorithm wavelet neural network, which belongs to the field of numerical control machine tool processing technology. A temperature sensor is reasonably arranged on a numerical control machine tool, and the temperature of a key temperature measuring point of the machine tool and the temperature data of a proces environment are measured by the temperature sensor, and the thermal error data of a machine tool spindle is obtained by a displacement sensor; the thermal error prediction model of machine tool spindle based on wavelet neural network is established after data processing, combining the advantages of genetic algorithm and wavelet neural network, the thermal error predictionmodel has the advantages of simple calculation, high precision, strong anti-disturbance ability and robustness, and has strong approximation ability and fast network convergence speed. The thermal error of the spindle of the CNC machine tool is effectively reduced, and the machining accuracy of the machine tool is improved.

Description

technical field [0001] The invention relates to a method for predicting the thermal error of a machine tool spindle, in particular to a method for predicting the thermal error of a machine tool spindle based on a genetic algorithm wavelet neural network, and belongs to the technical field of numerical control machine tool processing. Background technique [0002] With the rapid development of CNC machining in the direction of high speed and high precision, higher requirements are put forward for the machining accuracy and reliability of CNC machine tools. Improving the thermal characteristics of CNC machine tools has become the most important in the development of mechanical manufacturing technology. , one of the most urgent research topics. The thermal error of CNC machine tools refers to the change in the relative displacement between the workpiece and the tool due to the deformation or expansion of the machine tool components due to the temperature rise of the machine too...

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Application Information

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IPC IPC(8): G06Q10/04G06N3/04G06N3/08
CPCG06N3/086G06Q10/04G06N3/045
Inventor 张云李彬王立平李学崑姜楠曹海燕
Owner TSINGHUA UNIV
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