A Method for Residual Stress Detection of Mechanical Components Based on Hilbert-Huang Transform

Abstract

The invention discloses a method for detecting residual stress of a mechanical component based on Hilbert-Huang transform. The steps of the detection method are: 1. collecting vibration signals of the same type of mechanical component without residual stress and with residual stress, Record the collected acceleration signals as x(t) and y(t); 2. Use the HHT method to decompose x(t) and y(t) by EMD; 3. Calculate the obtained IMF components according to the subscript from small to Large order is reordered; S4, through image matching technology, get the correlation coefficient ρ of each image 1 , ρ 2 ,...,ρ n ; 5. Find out the correlation coefficient ρ'(ρ'=min{ρ i}, i=1, 2,..., n), and use this as the basis for judging whether there is residual stress in this type of component; 6. Judging whether there is residual stress in the component.

Description

technical field [0001] The invention relates to the technical field of mechanical precision detection, in particular to a method for detecting residual stress of mechanical components based on Hilbert-Huang transformation. Background technique [0002] Various mechanical manufacturing processes (such as casting, cutting, welding, heat treatment, assembly, etc.) will cause different degrees of residual stress in the workpiece. The existence of residual stress will have a huge impact on the fatigue strength, static strength and corrosion resistance of the workpiece, reducing the service life of the workpiece; at the same time, the residual stress is also the main factor affecting the geometric stability of the workpiece. Therefore, it is of great significance to study the measurement technology of residual stress of mechanical workpiece. [0003] In order to ensure the effectiveness and reliability of mechanical workpieces during use, researchers have been studying residual s...

AI Technical Summary

Problems solved by technology

However, these methods require more complex experimental conditions, so the development is relatively slow

Images