2019
DOI: 10.1134/s0040601519030066
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Numerical Simulation of the Processes of Formation of a Welded Joint with a Pulsed ND:YAG Laser Welding of ZR–1%NB Alloy

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Cited by 14 publications
(8 citation statements)
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“…In laser welding, thermo-fluid phenomena were examined by integrating the user defined functions with the code of finite volume method in ANSYS and solving the Navier-Stokes and the k-equations in mushy zone and regions of weld pool as in Equation 1 (Satyanarayana et al, 2018;Satyanarayana et al, 2019a;Satyanarayana et al, 2019b).…”
Section: Thermo-fluid Analysismentioning
confidence: 99%
“…In laser welding, thermo-fluid phenomena were examined by integrating the user defined functions with the code of finite volume method in ANSYS and solving the Navier-Stokes and the k-equations in mushy zone and regions of weld pool as in Equation 1 (Satyanarayana et al, 2018;Satyanarayana et al, 2019a;Satyanarayana et al, 2019b).…”
Section: Thermo-fluid Analysismentioning
confidence: 99%
“…Then, the average amounts of the results obtained from the analytical method are compared for various locations. In order for the solidification rate within the melt pool to be determined, the values of temperature gradient and cooling rate achieved from the analytical Rosenthal equation are used in Equation (12) for each point in the melt pool.…”
Section: Predicted Temperature-dependent Parametersmentioning
confidence: 99%
“…For determining the solidification rate within the molten pool, the cooling rate is measured in the same way as the temperature gradient which was discussed before. Then, the temperature gradient and the cooling rate obtained from the numerical modeling are used in Equation (12), and ultimately, the values of the solidification rate are attained for different locations within the melt pool. (c) variation of temperature gradient versus temperature for different points within the molten pool obtained from the numerical modeling using a laser beam with an average power of 80 W, welding velocity of 2 mm · s , and absorption coefficient of 0.36.…”
Section: Predicted Temperature-dependent Parametersmentioning
confidence: 99%
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“…The present model can accommodate the temperature-dependent material properties. The generic nature of the model can be used for any material and fusion welding process with laser beam specifying the material properties using UDF, which is being assessed by conducting case studies on different materials (viz., zircaloy-4, carbon steel and E110 (Zr-1% Nb)) [28,37].…”
Section: Validation Of Numerical Simulationsmentioning
confidence: 99%