A method for identifying the boundary of regions in welded coupon specimens using digital image correlation

Rui Yan*, Hagar El Bamby, Milan Veljkovic, Haohui Xin, Fei Yang

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

10 Citations (Scopus)
94 Downloads (Pure)

Abstract

The coupon specimen with a transverse butt weld in the middle could be used for determining local constitutive properties of the heat-affected zone (HAZ) and the weld metal (WM) based on the digital image correlation (DIC). However, limited research is reported to demonstrate how to identify the boundary of each region in DIC results. Accordingly, it is difficult to determine the adequate gauge length for measuring the strain of each region and establishing a stress–strain curve for Finite Element Analysis (FEA) of structural problems. In this paper, a method for identifying the region's boundary is proposed based on coupon tests using three steel grades, S355, S500, and S700, corresponding to three weld matching types, match, overmatch, and undermatch, respectively. First, the hardness and the microstructure investigation were conducted to determine the region's boundary. Then, the boundary was identified based on the DIC result using the proposed method. Finally, the identified HAZ regions were verified against hardness results. Using the proposed method, the gauge length for measuring the strain of a single region, such as HAZ and WM, are determined based on the DIC results. The primary purpose is to establish the stress–strain relationship for FEA of welded joints.

Original languageEnglish
Article number110073
Number of pages14
JournalMaterials and Design
Volume210
DOIs
Publication statusPublished - 2021

Keywords

  • Digital image correlation
  • Heat-affected zone
  • Transverse butt weld
  • Welded coupon test

Fingerprint

Dive into the research topics of 'A method for identifying the boundary of regions in welded coupon specimens using digital image correlation'. Together they form a unique fingerprint.

Cite this