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A real-time prediction method for screw wear

A real-time prediction and wear amount technology, applied in program control, instrumentation, computer control, etc., can solve the problems of not considering the lead screw, failing to quantify the wear value of the lead screw, error, etc., to reduce the occurrence rate of lead screw failure, improve Reliability level, the effect of accurate prediction results

Active Publication Date: 2020-01-17
湖北谷城东华科技有限公司
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Problems solved by technology

However, this method directly predicts the wear state of the lead screw through the current characteristics, but does not consider the influence of factors such as the speed of the lead screw and the load on the current. There is a certain error in the prediction, and the wear value of the lead screw cannot be quantified.

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  • A real-time prediction method for screw wear
  • A real-time prediction method for screw wear
  • A real-time prediction method for screw wear

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Embodiment Construction

[0026] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not constitute a conflict with each other.

[0027] figure 1 is a flowchart of a performance evaluation method constructed according to a preferred embodiment of the present invention, such as figure 1 As shown, the object selected in this example is the X-axis screw of the VMC850L machining center of Baoji Machine Tool Factory. The X-axis stroke is 800mm. The type of the screw is a ball screw. . Implementation of the present invention ...

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Abstract

The invention discloses a real-time prediction method for lead screw abrasion loss. The method comprises the following steps: acquiring a sensor signal in real time when a lead screw works and preprocessing the signal; judging the working condition of the lead screw by the preprocessed signal data, and dividing the working process of the lead screw into working subsections according to the different working conditions of the lead screw; accumulating the abrasion loss of the lead screw generated in each working subsection to obtain the cumulative abrasion loss of the lead screw and realize real-time prediction of the abrasion loss of the lead screw. The method has the advantages of high prediction speed and high accuracy, additional building of an experimental platform and disassembly and assembly of the lead screw are not needed, normal work of the lead screw is not affected, and real-time prediction of the abrasion loss of the lead screw can be realized.

Description

technical field [0001] The invention belongs to the technical field of predicting the wear amount of a lead screw, and more particularly relates to a real-time prediction method for the wear amount of a lead screw. Background technique [0002] The design life of the lead screw is generally 10,000 to 15,000 hours. With the development of CNC machine tool processing in the direction of high speed, high precision and heavy load, the lead screw of CNC machine tools often fails to reach the design life and is damaged. The most common form of damage to the lead screw is lead screw wear. The real-time prediction of the wear of the lead screw of the CNC machine tool can take timely measures before the damage of the lead screw occurs to ensure the quality and accuracy of processing, improve the yield rate and production efficiency, and save Cost of production. [0003] At present, some methods and technologies have been developed in the technical field of screw wear detection and p...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B19/4065
CPCG05B19/4065G05B2219/37616
Inventor 胡海莹陈国华向华周浩潘成龙李波
Owner 湖北谷城东华科技有限公司
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