Residual stress detection of welded parts based on excitation vibration response

Xiaohan Liu,Guangfeng Shi

doi:10.1177/1729881420905189

Abstract

With the rapid development of the equipment industry, people pay more attention to the stress research of materials. However, there is no more suitable and effective method to detect the variation of residual stress. To find an efficient and useful method to analyze the residual stress of the welded parts, this article selects the Q235 component as the research object and produces a detection robot with the core of processing vibration signal and extracting signal data. In combination with the vibration signal extracted by the robot, we study the influence law of the residual stress of the material through numerical simulation and experimental verification. The detection of residual stress is related to the change in the number of taps of the robot and the increase or decrease in the number of taps of the robot. We used the vibration signal extracted by the robot and analyzed the orthogonal parameters of the high-frequency induction welding process parameters to obtain a set of the most unique process parameters: The tapping angle was 7° and the tapping frequency was 300 Hz. We also set up the robot to extract and analyze the vibration signal using four different hammerheads. The results show that the sub-resonance analysis results as the standard, the deviation of the steel head and the aluminum head hammer is about ±10, the result is more accurate, and the frequency of the nylon and plastic hammer is lower, because it is softer. When the hammer is struck, the contact time of the hammerhead with the workpiece is lengthened, so that a lower frequency can be excited.

Highlights

Key components in critical equipment areas require longterm operation in high-temperature, high-pressure, and heavy duty environments, and their critical performance determines the stability and reliability of the equipment
To find an efficient and useful method to analyze the residual stress of the welded parts, this article selects the Q235 component as the research object and attempts to make only one detection robot that deals with vibration signals and extracts signal data
Combining the vibration signals extracted by the robot, the numerical simulation and the experimental verification method are used to study the influence law of the residual stress of the material, and the process optimization parameters with the residual stress as the characteristic quantity are obtained

Summary

Introduction

Key components in critical equipment areas require longterm operation in high-temperature, high-pressure, and heavy duty environments, and their critical performance determines the stability and reliability of the equipment. In the study by Toribio and Kharin,[5] the authors analyzed the distribution of residual stress and plastic strain obtained after different drawing conditions and their effects on the hydrogen embrittlement (HE) sensitivity of the wire. In the literature,[8,9] to solve the difficulty of stress gradient testing and calibration of mechanical parts in depth direction, the authors proposed a new technique based on acoustic elastic theory for nondestructive testing and ultrasonic method to characterize residual stress gradient fields.[10] The characterization results show that the stress gradient distribution is consistent with the simulation results in ANSYS. In the literature,[13,14,15] the authors consider the steady-state response of periodic excitation in a linear fractional vibration system using a fractional derivative operator. The authors used an analytical model to study the effect of the ribs on the transmission between the damping and the two plate members of the L-shaped plate

Methods

Results

Conclusion