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Disk shear tool changing opportunity prediction system and method based on shear blade wear detection

A prediction system and prediction method technology, applied in manufacturing computing systems, still image data retrieval, digital data information retrieval, etc. Inaccurate prediction or determination of sharpening, high cost of disc cutter maintenance and scrapping, to achieve automatic learning, reduce workload, and improve accuracy

Pending Publication Date: 2022-07-12
WUHAN UNIV OF SCI & TECH +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] (1) The existing technology is mainly based on manual experience or accident status to determine the timing of disc scissors changing or sharpening. Not only the maintenance and scrapping costs of disc knives are high, but also the sudden collapse and failure caused by its wear cannot be timely early warning;
[0008] (2) The prior art is inaccurate in predicting or determining the timing of disc scissors changing or sharpening;
[0009] (3) There is no method or device for tool wear detection and tool change timing prediction in the prior art

Method used

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  • Disk shear tool changing opportunity prediction system and method based on shear blade wear detection
  • Disk shear tool changing opportunity prediction system and method based on shear blade wear detection
  • Disk shear tool changing opportunity prediction system and method based on shear blade wear detection

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Effect test

Embodiment 1

[0086] An expert system for wear detection and tool change timing prediction of disc scissors, including a detection system and an expert system.

[0087] The inspection system includes a high-precision high-speed industrial camera, a rack, an image storage platform and an image processing platform; the disc shear is not static but is always in a state of rotation around the axis. Using a high-precision high-speed camera can obtain ideal image effects. The camera is installed on the outer side of the disc scissors through the rack, and the blade part of the disc scissors is photographed, and the obtained pictures are stored in the image storage platform. Feature extraction is performed between the captured image and the original image, the difference between the two is obtained, and the wear amount of the current disc scissors is calculated in combination with the shooting angle.

[0088] The expert system consists of six parts, including the interactive interface, knowledge b...

Embodiment 2

[0097] According to the disc scissors tool change timing prediction expert system for wear detection, the invention extracts and analyzes the wear amount of the disc scissors tool at different processing times, and uses the neural network algorithm to fit the tool wear amount-steel excess curve. And analyze the tool's follow-up time threshold:

[0098] 1. During the cutting process of the disc shear 1, the upper cutter disc 3 is pressed down to cut the plate, and the upper cutter disc cutting surface 7 and the lower cutter disc cutting surface 8 which are in contact with the strip are the most easily worn. The increase in shear force will lead to the phenomenon of tool chipping, such as figure 1 . In view of this situation, use the YVSION first high-precision industrial camera 4 and the second high-precision industrial camera 5 installed on the rack 2 to take pictures of the worn parts of the disc scissors, such as figure 2 shown. The lens specification is 640*480 790 fram...

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Abstract

The invention belongs to the technical field of disc shear tool detection, and discloses a disc shear tool changing opportunity prediction system and method based on shear blade wear detection, and the method comprises the steps: a detection system carries out the collection of a disc shear blade part image, carries out the feature extraction, and calculates the wear loss of a current disc shear tool; and the expert system calculates a tool abrasion loss-steel passing amount curve of the disc shear under different process parameters based on the collected data, and predicts the tool changing time of the tool under different process parameters. The detection system comprises a high-precision and high-speed industrial camera for acquiring an image of the cutting edge part of the circle shear, an image storage platform for storing the acquired image of the cutting edge part of the circle shear, and an image processing platform, according to the method, the workload of technicians is reduced, the accuracy of the disc shear tool changing time is improved, the time point is set to dynamically monitor the disc shear tool, and an accurate basis is provided for tool changing.

Description

technical field [0001] The invention belongs to the technical field of disc scissors tool detection, and in particular relates to a disc scissors tool change timing prediction system and method based on shearing edge wear detection. Background technique [0002] At present, the cutting accuracy of metal strip is one of the key factors affecting the processing quality of metal products, and it is the basis for making precision metal products. Longitudinal slitting of metal sheets is a processing method of dividing the wide-width panel after cold rolling into several strips according to the size requirements. The first choice for processing enterprises. [0003] Disc shear slitting, like other traditional machining processes, also has problems such as elastoplastic deformation of the material, heat generation, etc., which lead to blade wear, chipping, and surface deterioration during the slitting process. The section quality of the slitting sheet is directly related to the w...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/13G06F16/58G06F16/583
CPCG06T7/0008G06T7/13G06F16/583G06F16/5866G06T2207/10004G06T2207/20084G06T2207/30164Y02P90/30
Inventor 夏绪辉张欢龚明健刘玉波李文喜王纪红易平刘翔王蕾陈宝通李鑫张泽琳王瞳曹建华严旭果
Owner WUHAN UNIV OF SCI & TECH
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