Wavelet analysis-based grinding machining working condition detection system and method thereof

A wavelet analysis, working condition technology, applied in the field of machining, can solve problems such as workpiece burn, machining efficiency and quality impact, workpiece and tool damage, etc.

Active Publication Date: 2010-09-01
NANJING UNIV +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] However, the current CNC grinding machines still require relatively skilled workers to operate, and the operator judges based on work experience whether the tool is in contact with the workpiece, whether the tool (that is, the grindi...

Method used

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  • Wavelet analysis-based grinding machining working condition detection system and method thereof
  • Wavelet analysis-based grinding machining working condition detection system and method thereof
  • Wavelet analysis-based grinding machining working condition detection system and method thereof

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Embodiment

[0087] The present invention is actually applied to the digital control system of the grinding machine to detect the grinding processing conditions in real time, combined with the processing flow figure 2 , and the specific implementation steps are described as follows:

[0088] 1. First construct the correspondence table between working conditions and acoustic emission frequency band power. Under the experimental conditions, the sampling frequency fs of the grinding process detection system based on wavelet analysis is set to 1MHz, the sequence length N is set to 2000, the number of frequency bands m is set to 20, the wavelet base is selected as db10, and the decomposition scale for 20.

[0089] 2. Start the grinding process of the grinding machine, and repeatedly contact and disengage the tool and the workpiece.

[0090] 3. Start the system to collect the acoustic emission signal X when the cutting tool is in contact with the workpiece t , collect 100 sets of data X ti ...

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PUM

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Abstract

The invention discloses a wavelet analysis-based grinding machining working condition detection system and a wavelet analysis-based grinding machining working condition detection method. The system comprises a sensor information acquisition module, a corresponding table module for working conditions and acoustic emission frequency band power, and an intelligent working condition judgment and output module. An acoustic emission sensor is arranged on a grinding machine and transmits acoustic emission signals to the corresponding table module for the working conditions and the acoustic emission frequency band power and the intelligent working condition judgment and output module respectively; the corresponding table module for the working conditions and the acoustic emission frequency band power acquires the standard power intensity of each frequency band by using a wavelet transformation analysis method, and constructs a corresponding table between standard working conditions and standard acoustic emission frequency band power intensity Pst; and the intelligent working condition judgment and output module performs wavelet transformation analysis on the acoustic emission signals to acquire current power intensity, matches the current power intensity with the Pst, calculates a fit error value and determines and outputs a current grinding working condition.

Description

technical field [0001] The invention relates to a detection method in the field of mechanical processing, in particular to a detection method for grinding processing conditions based on wavelet analysis. Background technique [0002] In mechanical processing, grinding is an important processing method, and the grinding lathe is the main tool for implementing this processing method. With the development of science and technology, computer-aided grinding lathes (hereinafter referred to as CNC grinding machines) are gradually being used. The CNC grinding machine completes the processing of the workpiece according to the preset computer instructions and the processing drawings, which greatly improves the processing efficiency and processing accuracy. [0003] However, the current CNC grinding machines still require relatively skilled workers to operate, and the operator judges based on work experience whether the tool is in contact with the workpiece, whether the tool (that is,...

Claims

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Application Information

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IPC IPC(8): G01N3/58G01H17/00
Inventor 杨京徐水竹程建春刘翔雄
Owner NANJING UNIV
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