A Monte Carlo model for 3D grain evolution during welding. (4th August 2017)

• Record Type: Journal Article
• Authors: Rodgers, Theron M; Mitchell, John A; Tikare, Veena
• Is Part Of: Modelling and simulation in materials science and engineering. Volume 25:Number 6(2017)
• Publication Date: 2017-08-04
• Subjects: welding -- grain growth -- Potts Monte Carlo -- solidification; Materials -- Mathematical models -- Periodicals; Matériaux -- Modèles mathématiques -- Périodiques; Materials -- Mathematical models; Periodicals; 620.00113
• DOI: 10.1088/1361-651X/aa7f20
• Languages: English
• ISSNs: 0965-0393

Abstract

Abstract: Welding is one of the most wide-spread processes used in metal joining. However, there are currently no open-source software implementations for the simulation of microstructural evolution during a weld pass. Here we describe a Potts Monte Carlo based model implemented in the SPPARKS kinetic Monte Carlo computational framework. The model simulates melting, solidification and solid-state microstructural evolution of material in the fusion and heat-affected zones of a weld. The model does not simulate thermal behavior, but rather utilizes user input parameters to specify weld pool and heat-affect zone properties. Weld pool shapes are specified by Bézier curves, which allow for the specification of a wide range of pool shapes. Pool shapes can range from narrow and deep to wide and shallow representing different fluid flow conditions within the pool. Surrounding temperature gradients are calculated with the aide of a closest point projection algorithm. The model also allows simulation of pulsed power welding through time-dependent variation of the weld pool size. Example simulation results and comparisons with laboratory weld observations demonstrate microstructural variation with weld speed, pool shape, and pulsed-power.