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Method and device for predicting fatigue failure of drive shaft of horizontal conveying device

A device-driven, fatigue-failure technology, applied in the field of mechanical equipment and mechanical equipment data analysis, can solve problems such as inability to adapt to production site capacity adjustments and changes, and achieve low cost, improved accuracy and convenience, and simple implementation methods. Effect

Inactive Publication Date: 2019-05-03
上海大制科技有限公司
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  • Abstract
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AI Technical Summary

Problems solved by technology

[0003] According to the market survey, the current life evaluation of the drive shaft is based on the design load and theoretical working conditions, which cannot adapt to the rapid production capacity adjustment and changing working conditions on the production site

Method used

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  • Method and device for predicting fatigue failure of drive shaft of horizontal conveying device
  • Method and device for predicting fatigue failure of drive shaft of horizontal conveying device
  • Method and device for predicting fatigue failure of drive shaft of horizontal conveying device

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Embodiment Construction

[0042] In order to understand the technical content of the present invention more clearly, the following examples are given in detail.

[0043] see figure 1 As shown, it is a flow chart of the steps of the method for predicting the fatigue failure of the driving shaft of the horizontal conveying equipment according to the present invention.

[0044] In one embodiment, the method for predicting fatigue failure of drive shafts of horizontal conveying equipment includes the following steps:

[0045] (1) According to the actual working condition of the drive shaft, periodically collect the stress data of the drive shaft through the sensor;

[0046] (2) Determine whether the stress data collected in each cycle exceeds the preset range, and if so, accumulate the damage value;

[0047] (3) Judging whether the damage value reaches the threshold, and if so, a warning is issued.

[0048] In a preferred embodiment, the step (1) specifically includes the following steps:

[0049] (11)...

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Abstract

The invention, which belongs to the technical field of mechanical equipment, relates to a method and device for predicting the fatigue failure of a drive shaft of a horizontal conveying device. According to the method, stress data of a drive shaft are collected periodically by a sensor based on the actual working condition of the drive shaft; whether the stress data collected in each period exceeda preset range is determined; if so, damge values are accumulated; and then when the accumulated damage value is determined to reach a threshold value, warning sent out. Therefore, on the basis of sensor information acquisition, big data modeling and data calculation, a fatigue failure prediction model of a drive shaft is established; and thus the service life is predicted based on the actual operating condition, so that the accuracy and convenience of the prediction are improved substantially. Moreover, the method and device for predicting the fatigue failure of a drive shaft of a horizontalconveying device have advantages of simple implementation, low cost, and wide application range.

Description

technical field [0001] The present invention relates to the technical field of mechanical equipment, in particular to the technical field of data analysis of mechanical equipment, in particular to a method and device for predicting fatigue failure of drive shafts of horizontal conveying equipment. Background technique [0002] At present, in the automobile manufacturing industry, the rolling bed is a common horizontal conveying equipment. When the drive shaft of the roller bed gradually wears out until it breaks under the action of fatigue load, it will not only cause the failure of a single piece of equipment, but also cause the production interruption of the production line. In a production system, the inability to accurately assess the damage state of a drive shaft often leads to huge losses. Therefore, the development of a fatigue failure prediction model for drive shafts can effectively avoid abnormal shutdown of equipment, reduce maintenance costs, and improve economi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01M13/027
Inventor 徐骏黄毅郭云何琪
Owner 上海大制科技有限公司
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