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Large rotating supporting rolling way abrasion automatic detecting system and arge rotating supporting rolling way abrasion automatic detecting method

A technology of slewing bearing and detection system, which is applied in the detection field to achieve the effect of improving the safety of use and reducing accidents

Inactive Publication Date: 2013-08-21
ANHUI UNIVERSITY OF TECHNOLOGY +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, there is no report on the literature about the automatic detection of the wear amount of the raceway of the large slewing bearing

Method used

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  • Large rotating supporting rolling way abrasion automatic detecting system and arge rotating supporting rolling way abrasion automatic detecting method
  • Large rotating supporting rolling way abrasion automatic detecting system and arge rotating supporting rolling way abrasion automatic detecting method

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Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0031] Such as figure 1 As shown, a wear detection system for QND1250 slewing bearings is composed of hardware and software. The hardware is composed of 35 / 35DL high-precision ultrasonic thickness measuring probe, data acquisition card, TTC60 controller, AT3000 display, and relay. , sound and light alarm and cable power supply; the software part is composed of signal communication module, drive control module, data acquisition and processing module, and alarm module.

[0032] Such as figure 2 As shown, a radial blind hole of φ30 is drilled on the fixed outer ring 3 of the QND1250 slewing bearing until the thickness to be measured is 18mm, and the inner thread M36 is tapped, and the signal line of the high-precision ultrasonic thickness measuring probe 4 is connected to the Insert the push tube 7 from left to right. Since the left side of the push tube 7 is a wedge-shaped inner opening, the high-precision ultrasonic thickness measuring probe 4 can be fixed, and then the posit...

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PUM

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Abstract

The invention provides a large rotating supporting rolling way abrasion automatic detecting system and a large rotating supporting rolling way abrasion automatic detecting method and belongs to the technical field of detecting. The detecting system comprises a high-accuracy ultrasonic thickness measurement probe, a data collecting card, a controller, a displayer, a relay, an audible and visual alarm, a signal communication module, a driving control module, a data collecting and processing module and an alarm module. In an appointed time interval, the thicknesses of rotating supporting outer rings are measured, and by comparing thickness difference, the abrasion amount of a rotating supporting rolling way in the corresponding time period is obtained. The detecting system can automatically detect the abrasion amount of the large rotating supporting rolling way, when the abrasion amount is larger than an abrasion allowing value, alarming is carried out timely, equipment operation states can be effectively provided, and accident happening rate can be reduced.

Description

Technical field: [0001] The invention belongs to the technical field of detection, and in particular relates to an automatic detection system and a detection method for the amount of wear of a raceway of a large slewing bearing. Background technique: [0002] Wear exists objectively in mechanical equipment. It damages the working surface of parts, affects the performance of mechanical equipment, consumes materials and energy, and shortens the service life of equipment. Therefore, it is very necessary to avoid and control harmful wear. To avoid and control wear, the amount of wear must first be detected. There are generally two commonly used wear detection methods: 1. By measuring the signal change characteristics of characteristic parameters such as force, displacement, current voltage, temperature, etc. related to the worn surface of parts As a basis for detection, the wear amount is obtained through calibration conversion; 2. Use the cellular neural network to perform smoo...

Claims

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Application Information

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IPC IPC(8): G01B17/02
Inventor 王全先戴永奋韩飞坡余晓流刘庆运秦绪敏余云霓王汉东关元清
Owner ANHUI UNIVERSITY OF TECHNOLOGY
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