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Bolt pre-tightening force prediction method based on machine learning

A technology of bolt pre-tightening force and prediction method, applied in the field of assembly and fastening, can solve problems such as accurate prediction of pre-tightening force

Inactive Publication Date: 2019-01-18
DALIAN UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Due to the particularity of the pre-tightening force, the specific value cannot be accurately controlled. At present, there is no accurate prediction of the pre-tightening force at home and abroad.

Method used

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  • Bolt pre-tightening force prediction method based on machine learning
  • Bolt pre-tightening force prediction method based on machine learning
  • Bolt pre-tightening force prediction method based on machine learning

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Embodiment Construction

[0046] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0047]A method for predicting bolt pretightening force based on machine learning, including data collection, data-based problem analysis, data averaging processing, multiple linear regression modeling, model parameter identification, statistical testing, model verification and analysis, the specific steps are as follows:

[0048] Step 1: Data...

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Abstract

The invention belongs to the technical field of assembly and fastening, and provides a bolt pre-tightening force prediction method based on machine learning. The method comprises the following steps of data acquisition, data-based problem analysis, data averaging processing, multiple regression modeling, model parameter identification, statistic inspection and model verification and analysis, wherein tightening torque, a tightening angle and a nut end surface friction coefficient are used as input parameters, and the pre-tightening force is used as a prediction value. According to the method,the pre-tightening force can be effectively controlled through prediction, and a foundation is laid for obtaining good machine performance. The metod can be widely popularized in the technical field of assembly and fastening.

Description

technical field [0001] The invention belongs to the technical field of assembly and fastening, and more specifically relates to a method for predicting bolt pretightening force based on machine learning. Background technique [0002] Bolt connection is a commonly used mechanical connection method. It has the characteristics of various types, simple structure, easy disassembly and replacement, and reliable connection. It is used in almost all mechanical equipment. Bolts are widely used in engines, especially aero-engines known as "the jewel in the crown of industry", which directly affect the overall performance, stability and economy of the aircraft. The high-speed rotating rotor is the core component of the aero-engine. In order to ensure the safe and reliable operation of the high-speed rotating rotor, it is necessary to apply an appropriate axial preload by adjusting the length of the connecting bolts during assembly. The magnitude of the axial preload largely determines...

Claims

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Application Information

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IPC IPC(8): G01L5/24
CPCG01L5/24
Inventor 马跃杨斌孙伟孙清超
Owner DALIAN UNIV OF TECH
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