TY - GEN
T1 - Comparison of analytical and computational thermal models for gas metal arc braze welding
AU - Shah, Sanjiv E.
AU - Lee, Jason C.
AU - Rios-Perez, Carlos
AU - Seepersad, Carolyn Conner
PY - 2009
Y1 - 2009
N2 - Analytical and computational models are constructed for predicting the temperature distribution in a workpiece during gas metal arc braze-welding (GMABW). Specifically, the weld zone is modeled with Rosenthal's analytical model, a finite difference model (FDM) and a finite volume computational model, constructed in the FLUENT® software package. Each model relates controllable braze-welding process parameters, such as traverse speed and applied voltage, to the temperature field that develops during the braze-welding process. Model-based predictions are validated by comparison with experimental data obtained from braze-welded specimens of C22000 commercial bronze alloy (CuZn90/10%wt). Temperature data are collected during the braze-welding process via thermocouples and infrared pyrometers aimed at the top surface of the specimen. Recommendations are made regarding the range of applicability and limitations of the models. In addition, opportunities are discussed for applying these models as part of an automated control framework for GMABW.
AB - Analytical and computational models are constructed for predicting the temperature distribution in a workpiece during gas metal arc braze-welding (GMABW). Specifically, the weld zone is modeled with Rosenthal's analytical model, a finite difference model (FDM) and a finite volume computational model, constructed in the FLUENT® software package. Each model relates controllable braze-welding process parameters, such as traverse speed and applied voltage, to the temperature field that develops during the braze-welding process. Model-based predictions are validated by comparison with experimental data obtained from braze-welded specimens of C22000 commercial bronze alloy (CuZn90/10%wt). Temperature data are collected during the braze-welding process via thermocouples and infrared pyrometers aimed at the top surface of the specimen. Recommendations are made regarding the range of applicability and limitations of the models. In addition, opportunities are discussed for applying these models as part of an automated control framework for GMABW.
UR - https://www.scopus.com/pages/publications/77953018185
U2 - 10.1115/HT2009-88491
DO - 10.1115/HT2009-88491
M3 - Conference contribution
AN - SCOPUS:77953018185
SN - 9780791843574
T3 - Proceedings of the ASME Summer Heat Transfer Conference 2009, HT2009
SP - 919
EP - 928
BT - Proceedings of the ASME Summer Heat Transfer Conference 2009, HT2009
T2 - 2009 ASME Summer Heat Transfer Conference, HT2009
Y2 - 19 July 2009 through 23 July 2009
ER -