Abstract
A general methodology for inverse thermal analysis of steady-state energy deposition in plate structures, typically welds, is extended with respect to its formulation. This methodology is in terms of numerical-analytical basis functions, which provide parametric representations of weld-temperature histories that can be adopted as input data to various types of computational procedures, such as those for prediction of solid-state phase transformations and mechanical response. The extension of the methodology presented here concerns construction of numerical-analytical basis functions and their associated parameterizations, which permit optimal and convenient parameter optimization with respect to different types of weld-workpiece boundary conditions, energy source characteristics, and experimental measurements adoptable as weld-temperature history constraints. Prototype inverse thermal analyses of a steel weld are presented that provide proof of concept for inverse thermal analysis using these basis functions.
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This work was supported by a Naval Research Laboratory (NRL) internal core program.
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Appendix
Appendix
- T :
-
Temperature of workpiece
- T A :
-
Ambient temperature of workpiece
- \(T_{n}^{c}\) :
-
Constraint condition on temperature field
- T M :
-
Melting temperature
- T HE :
-
Temperature of HAZ-edge as measured (using thermocouples)
- κ:
-
Thermal diffusivity
- V :
-
Welding speed
- l 1 :
-
Thickness of workpiece
- l 2 :
-
Transverse-length parameter or tranverse length of workpiece
- l 3 :
-
Longitudinal-length parameter or longitudinal length of workpiece
- \(C\left( {\hat{x}_{k} } \right)\) :
-
Volumetric source function
- Δt :
-
Time step for specifying average energy deposited during the time Δt
- l S :
-
Length parameter specifying local region of temperature field to be calculated
- Δl :
-
Spatial discretization of the temperature field with respect to l S
- Z T :
-
Value of objective function
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Lambrakos, S.G. Parametric Modeling of Welding Processes Using Numerical-Analytical Basis Functions and Equivalent Source Distributions. J. of Materi Eng and Perform 25, 1360–1375 (2016). https://doi.org/10.1007/s11665-016-1970-2
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DOI: https://doi.org/10.1007/s11665-016-1970-2