View in EDS

Residual Stress-Based Inverse Analysis for Parameter Identification of a Double-Ellipsoidal Heat Source Model in Metal Inert Gas Welding.

Saved in:
Bibliographic Details
Title: Residual Stress-Based Inverse Analysis for Parameter Identification of a Double-Ellipsoidal Heat Source Model in Metal Inert Gas Welding.
Authors: Choi, Hyunsung1 (AUTHOR) h.choi@kims.re.kr, Lee, Dong Jun1 (AUTHOR), Cho, Yunji1 (AUTHOR), Beak, Min Jae1 (AUTHOR), Park, Hyeonil1 (AUTHOR), Seok, Moo-Young1 (AUTHOR), Kwon, Yong Nam1 (AUTHOR), Sung, Hyun-Min2 (AUTHOR), Kim, Dooyoung2 (AUTHOR)
Source: International Journal of Automotive Technology. Sep2025, Vol. 26 Issue 5, p1253-1260. 8p.
Subjects: Residual stresses, Gas metal arc welding, Optimization algorithms, X-ray diffraction, Parameter estimation, Simulation software
Abstract: In this work, the parameter identification method was proposed for the double-ellipsoidal heat source model in metal inert gas welding based on the inverse analysis using welding-induced residual stress. Two hollow S45C steel specimens were prepared for welding. The surface and internal residual stress was measured using X-Ray Diffraction (XRD). For the parameter identification of the heat source model, inverse analysis was conducted through an evolutionary optimization algorithm in ABAQUS/ISIGHT where two numerical simulations of welding and residual stress prediction were successively performed with the given parameters of heat source model by the optimization algorithm. The objective function in the inverse analysis was defined as the root-mean-square error between the measured and predicted residual stress on the surface and internal of material. The results showed that the proposed method could effectively identify the parameters of the heat source model in welding with high accuracy in predicting welding-induced residual stress. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Automotive Technology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
Description
Abstract:In this work, the parameter identification method was proposed for the double-ellipsoidal heat source model in metal inert gas welding based on the inverse analysis using welding-induced residual stress. Two hollow S45C steel specimens were prepared for welding. The surface and internal residual stress was measured using X-Ray Diffraction (XRD). For the parameter identification of the heat source model, inverse analysis was conducted through an evolutionary optimization algorithm in ABAQUS/ISIGHT where two numerical simulations of welding and residual stress prediction were successively performed with the given parameters of heat source model by the optimization algorithm. The objective function in the inverse analysis was defined as the root-mean-square error between the measured and predicted residual stress on the surface and internal of material. The results showed that the proposed method could effectively identify the parameters of the heat source model in welding with high accuracy in predicting welding-induced residual stress. [ABSTRACT FROM AUTHOR]
ISSN:12299138
DOI:10.1007/s12239-025-00301-0