Bolt pre-tightening force prediction method based on machine learning
Patent Information
- Authority / Receiving Office
- CN Β· China
- Current Assignee / Owner
- DALIAN UNIV OF TECH
- Publication Date
- 2019-01-18
- Estimated Expiration
- Not applicable Β· inactive patent
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Abstract
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...