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Novel least square support vector machine modeling method for thermal error of numerical control machine

A technology for support vector machines and numerically controlled machine tools, which is applied in electrical digital data processing, special data processing applications, instruments, etc. It can solve problems such as instability and non-normal distribution, and achieve low hardware requirements, good reliability, and improved self-efficacy. The effect of learning ability

Inactive Publication Date: 2012-05-30
DALIAN CHUANGDA TECH TRADE MARKET
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Problems solved by technology

However, the thermal error of the machine tool depends to a large extent on many factors such as processing conditions, processing cycle, use of coolant, and surrounding environment, and there are interactions. From a statistical point of view, the thermal error of the machine tool changes with temperature and operating time presents a nonlinear relationship, and its distribution is non-normal and non-stationary
Therefore, the use of fitting modeling methods to accurately establish a thermal error mathematical model has considerable limitations.

Method used

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  • Novel least square support vector machine modeling method for thermal error of numerical control machine
  • Novel least square support vector machine modeling method for thermal error of numerical control machine
  • Novel least square support vector machine modeling method for thermal error of numerical control machine

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Embodiment

[0045] Thermal error modeling analysis of a XHK-714F CNC machining center. The thermal deformation data of the machine tool spindle is collected by a laser displacement sensor (LK-150H). The temperature field measurement system is composed of 14 intelligent temperature sensors, ARM7 embedded system platform (FS44BOXLII) and liquid crystal display unit. Under similar conditions, the temperature rise and the axial thermal error of the spindle were tested repeatedly during the continuous operation of the machining center for 6 hours and the shutdown for 1 hour, and a total of 70 sets of data were obtained.

[0046] According to the data acquisition, take the spindle temperature change T 0 , Spindle motor measuring point temperature rise T 1 , Ball screw measuring point temperature rise T 2 , Temperature rise T of column measuring point 3 , The temperature rise T of the machine bed measuring point 4 , ambient temperature T 5 , with the spindle axial error D 1 , Spin...

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Abstract

The invention discloses a novel least square support vector machine modeling method for a thermal error of a numerical control machine. The method comprises the following steps of: (1) selecting a kernel function and determining parameters; and (2) according to a principle of the least square support vector machine, establishing a machine thermal error model. A compensating system in the invention is simple in structure and reliable in application; and by means of the least square support vector machine modeling method, the model precision and the generalization capability are improved, and the defects of low precision, low generalization capability and the like of the conventional predicting method are overcome.

Description

technical field [0001] The invention relates to a thermal error least square support vector machine modeling method of a numerically controlled machine tool. Background technique [0002] Thermal error control of CNC machine tools is one of the basic technologies for precision and ultra-precision machining. The main steps of machine tool thermal error compensation are: detection and analysis of error source, establishment of comprehensive mathematical model of error motion, identification of error element, execution of error compensation and evaluation of error compensation effect. [0003] In thermal error compensation, the establishment of thermal error model is a key step. The experimental modeling method is the most commonly used thermal error modeling method, which uses the thermal error data measured by the experiment and the temperature value of the machine tool and uses the least square principle to perform fitting modeling. However, the thermal error of the m...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
Inventor 董海
Owner DALIAN CHUANGDA TECH TRADE MARKET
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