Method for predicting machining quality of machine tool

A prediction method and machine tool technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as cost expenditure and reduction of tool machine utilization rate

Active Publication Date: 2015-05-27
郑芳田
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Problems solved by technology

Compared with offline measurement, online measurement can provide more immediate measurement results; however, online measurement needs to sacrifice the available processing time of the machine tool f

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  • Method for predicting machining quality of machine tool
  • Method for predicting machining quality of machine tool
  • Method for predicting machining quality of machine tool

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Embodiment Construction

[0020] In the high-tech industry, virtual measurement has become an effective way to measure workpieces. For example, in the thin film transistor-liquid crystal display (TFT-LCD) and semiconductor industries, wafers and glass are respectively thin film transistor-liquid crystal display and semiconductor Artifacts in industry. The basic preparation for virtual metrology on a process is to build a predictive model, a virtual metrology model, that closely models the input-output of the process. A virtual measurement model can be generated by training some calculus methods (such as backpropagation neural network and multiple regression technology), and use historical process parameters as input and corresponding workpiece manufacturing quality data as output. Once the process parameter data of a workpiece is input, the virtual measurement model immediately estimates the manufacturing quality of the workpiece, so as to detect abnormalities in equipment or process in time. For the ...

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Abstract

The invention provides a method for predicting the machining quality of a machine tool on the basis of virtual measurement (VM). The method comprises the steps of correlating each product accuracy item to the machining paths of a plurality of machine tool, at the modeling stage, firstly, operating the machine tools to obtain a plurality of modeling workpiece samples and collecting a plurality of groups of workpiece sample sensing data of the modeling samples associated with the machining paths in the operating period of the machine tool, secondly, after denoising the sensing data, converting the sensing data of each modeling sample and corresponding to the sample characteristic data of each characteristic pattern, and finally, measuring the accuracy item of each workpiece sample, and establishing the quality prediction model of the workpieces by use of the key characteristic data selected by the method, thereby obtaining the sample quality prediction data of each product accuracy item, and at the use stage, after inputting the key characteristic data of the machined workpiece into the quality prediction model, predicting the value of each accuracy item of the workpiece.

Description

technical field [0001] The invention relates to a method for predicting the processing quality of a machine tool, in particular to a method for predicting the processing quality of a machine tool based on virtual measurement (VM). Background technique [0002] In the machine tool industry, the machining accuracy of a workpiece processed by a machine tool is useful to identify whether the workpiece meets design tolerances, thereby identifying the machining quality of the machine tool for alignment, calibration and certification. The machine tool or the machining operation is stopped, thus preventing subsequent workpieces from being out of tolerance. [0003] Traditionally, the machining accuracy of workpieces can be measured in two ways: Off-machine Measurement and On-machine Measurement. Off-line measurement only samples some processed workpieces to measure their processing accuracy with a specified measuring machine, such as a three-dimensional measuring machine (Coordinat...

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Application Information

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IPC IPC(8): G06F17/50
Inventor 杨浩青丁颢洪敏雄郑芳田
Owner 郑芳田
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