Dr. Andrew J. Stershic
,
Sandia National Laboratories, Livermore, CA
Dr. Christopher R. D'Elia
,
Level Engineering, Inc., Woodland, CA
Dr. Lauren L. Beghini
,
Sandia National Laboratories, Livermore, CA
Prof. Michael R. Hill
,
University of California, Davis, Davis, CA
Dr. Bjørn Clausen
,
Los Alamos National Laboratory, Los Alamos, NM
Dr. Dorian K. Balch
,
Sandia National Laboratories, Livermore, CA
Dr. Michael C. Maguire
,
Sandia National Laboratories, Livermore, CA
Dr. Christopher W. San Marchi
,
Sandia National Laboratories, Livermore, CA
Dr. James W. Foulk, III
,
Sandia National Laboratories, Livermore, CA
Mr. Alexander A. Hanson
,
Sandia National Laboratories, Livermore, CA
Dr. Kevin L. Manktelow
,
Sandia National Laboratories, Livermore, CA
Understanding residual stress fields in manufactured components is crucial for predicting their performance under service loads; tensile residual stress can compromise strength, especially near stress concentrators or under cyclic loading conditions. This study introduces a multiphysical weld process model aimed at predicting the configuration and residual stress fields in a resistance-forge-welded port of a pressure vessel. Utilizing Lagrangian finite element analysis with adaptive remeshing, the model effectively addresses the significant deformations associated with welding. A comprehensive constitutive model is employed to capture material changes, including dynamic recrystallization during solid-state welding.
Model validation is achieved through displacement measurements and three residual stress estimation techniques: contour method, slitting method, and neutron diffraction, with a focus on hoop and axial stresses across three planes. The model’s configuration is further refined to align with destructive testing processes, enabling direct comparisons to measured residual stresses. Cross-validation of the contour method hoop-stress comparison was performed by simulating the contour cut and examining the relaxation displacement.
Results indicate a strong correlation between the model and measurements, particularly for axial stress from the slitting method, with a discussion on factors influencing discrepancies between model predictions and experimental data.