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Predictive Process Control: Residual Stresses in Welding
Description:
We are collaborating with LANL and UCSD to improve
failure prediction capabilities for beryllium welds. We are utilizing a
combination of experimental and computational methodologies to identify
factors that contribute to residual stresses in beryllium welds and to
explore processing paths for mitigating those residual stresses as a
means of lowering the likelihood of weld failure. Specifically, we are
designing and constructing a flexible weld testing station for
investigating the effect of welding process parameters on weld quality,
including residual stresses. We are also selecting surrogate materials
to test in place of toxic beryllium and characterizing the
microstructures of welded specimens. Finally, we are creating thermal
models of the transient thermal field in the braze welding zone and
validating the models with experimental data. We are using the
models to support predictive (model-based) control of the welding
process.
Students:
Ray Ely
Sanjiv Shah
Sponsor:
Los Alamos National Laboratory
Related Publications:
Shah, S. E., J. C. Lee, C. Rios-Perez and C. C. Seepersad, 2009, "Comparison
of Analytical and Computational Thermal Models for Gas Metal Arc Braze
Welding," ASME Summer Heat Transfer Conference, San
Francisco, CA, Paper Number: HT2009-88491.
Backlund, P., J. Lee, S. Shah, C.C. Seepersad,
J. Howell, E. Taleff, and M. Prime, 2008, "Thermal
Modeling and Experimentation for Residual Stress Prediction in
Braze-Welded Beryllium via a Surrogate CuZn10 Alloy," IRCS-8: The
Eighth International Conference on Residual Stresses, Denver, CO.
Howell,
J., F. Franca, and C. C. Seepersad (Editors), 2007, Proceedings of the
Pan-American Science Institute on Predictive Process Dynamics in
Manufacturing, Porto Allegre, Brazil, June 2007.
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