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Milling surface roughness online prediction method based on acoustic emission signals

A technology of acoustic emission signal and surface roughness, applied in metal processing equipment, metal processing machinery parts, manufacturing tools, etc., to achieve obvious effects, accurate and reliable prediction, and sufficient theoretical basis

Inactive Publication Date: 2013-11-20
UNIV OF SHANGHAI FOR SCI & TECH
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Problems solved by technology

[0003] The present invention aims to solve the technical problem that the milling surface roughness can only be measured and judged after the milling process is completed, and provides an online prediction method for the milling surface roughness based on acoustic emission signals, thereby stabilizing the workpiece online during milling. Milling processing quality, reducing the scrap rate of workpieces, improving the efficiency of milling processing, and providing an important basis for judging the rationality of milling process parameters in real time during milling processing

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  • Milling surface roughness online prediction method based on acoustic emission signals
  • Milling surface roughness online prediction method based on acoustic emission signals
  • Milling surface roughness online prediction method based on acoustic emission signals

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Embodiment Construction

[0035] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments, but the protection scope of the present invention should not be limited thereby.

[0036] The technical idea of ​​the present invention is: according to the theory that the change of milling chip thickness reflects the roughness of the milling surface in the milling processing theory, the acoustic emission signal released by the processed parts is detected by the acoustic emission sensor to predict the roughness of the milling processing surface. Spend.

[0037] See attached figure 2 , the cutting process of each cutting edge is intermittent during milling. Without any other factors, the thickness of the milling chip will vary with the position of the cutting edge, so that the thickness of the milling chip changes periodically, so that in milling The milling surface roughness is formed by leaving jagged ripples on the machined surface. A...

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Abstract

The invention relates to a milling surface roughness online prediction method based on acoustic emission signals. An acoustic emission sensor is installed on a workpiece to be milled and used for monitoring the acoustic emission signals emitted by material deformation of the workpiece to be milled in the milling process of the workpiece. According to a theory that changes of milling thicknesses reflect milling surface roughness in a milling theory, sensitive reaction of the acoustic emission signals to the changes of the milling thicknesses in practical machining is used for analyzing and processing the detected acoustic emission signals emitted by the workpiece to be milled during milling of the workpiece so as to predict the magnitude of the milling surface roughness. According to the method, online prediction of the magnitude of the milling surface roughness during milling of the workpiece is achieved, the method has important significance on workpiece milling quality stabilizing, workpiece rejection rate reducing and milling efficiency improving, and meanwhile an important basis is provided for real-time prediction of reasonability of milling technological parameters in the milling process.

Description

technical field [0001] The invention relates to a method for predicting surface roughness during milling, in particular to a method for monitoring roughness during milling. Background technique [0002] The surface roughness of milling is one of the main indicators to measure the quality of milling. In addition to the qualified dimensional accuracy of the processed parts, it is necessary to obtain the surface roughness consistent with the parts drawings. At present, in the monitoring technology of milling processing, there is no technology for online prediction of the surface roughness of milling processing, and the measurement of the surface roughness of milling can only be carried out after processing, and the measured roughness at this time is not Qualified workpieces can often only be scrapped. Therefore, being able to predict the surface roughness of the milling process during the milling process of the workpiece is of great significance for stabilizing the milling qua...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): B23Q17/20
Inventor 熊巍李郝林
Owner UNIV OF SHANGHAI FOR SCI & TECH
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