Abstract
The longitudinal Varestraint test is the most widely used technique to quantify the weld solidification cracking susceptibility, which provides the total crack length, TCL, as an indicator. But experimental work requires a significant amount of time and resource. Data-driven approaches can serve as alternatives to estimate the TCL through influencing factors, including metallurgical factors, welding conditions, and test parameters. We develop the least-squares boosting model to predict the TCL, a solidification cracking susceptibility indicator, based on the alloy composition, welding parameters, and applied strain. The model manifests high accuracy and stability, and applies to a wide range of stainless steels. It serves as a fast, robust, and low-cost tool for the assessment of solidification cracking susceptibility.
Published Version
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