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Jmatpro software
Jmatpro software






jmatpro software
  1. JMATPRO SOFTWARE SOFTWARE
  2. JMATPRO SOFTWARE SIMULATOR

Materialwiss Werkstofftech 41:972–983Īrif TT, Qin RS (2014) A phase-field model for the formation of martensite and bainite. Mukherjee K, Prahl U, Bleck W, Reisgen U, Schleser M, Abdurakhmanov A (2010) Characterization and modelling techniques for gas metal arc welding of DP 600 sheet steels. Zhu B, Chen H, Militzer M (2015) Phase-field modeling of cyclic phase transformations in low-carbon steels. Zhu B, Militzer M (2014) Phase-field modeling for intercritical annealing of a dual-phase steel. Mecozzi MG, Militzer M, Sietsma J, Zwaag S (2008) The role of nucleation behavior in phase-field simulations of the austenite to ferrite transformation. Militzer M, Mecozzi MG, Sietsma J, van der Zwaag S (2006) Three-dimensional phase field modelling of the austenite-to-ferrite transformation. Mecozzi MG, Sietsma J, Van Der Zwaag S (2006) Analysis of γ → α transformation in a Nb micro-alloyed C-Mn steel by phase field modelling. Mecozzi MG, Sietsma J, Van Der Zwaag S (2005) Phase field modelling of the interfacial condition at the moving interphase during the γ → α transformation in C-Mn steels. Mecozzi MG, Sietsma J, Van Der Zwaag S, Apel M, Schaffnit P, Steinbach I (2005) Analysis of the γ → α transformation in a C-Mn steel by phase-field modeling.

jmatpro software

Thornton K, Ågren J, Voorhees PW (2003) Modelling the evolution of phase boundaries in solids at the meso- and nano-scales. īoettinger WJ, Warren JA, Beckermann C, Karma A (2002) Phase-field simulation of solidification. In: Shin D, Saal J (eds) Computational materials system design. ĭeWitt S, Thornton K (2018) Phase field modeling of microstructural evolution. Steinbach I (2009) Phase-field models in materials science. Rahul MR, Phanikumar G (2015) Correlation of microstructure with HAZ welding cycles simulated in Ti-15-3 alloy using Gleeble 3800 and SYSWELD. ĭeepu MJ, Farivar H, Prahl U, Phanikumar G (2017) Microstructure based simulations for prediction of flow curves and selection of process parameters for inter-critical annealing in DP steel.

JMATPRO SOFTWARE SOFTWARE

John DM, Farivar H, Rothenbucher G, Kumar R, Zagade P, Khan D, Babu A, Gautham BP, Bernhardt R, Phanikumar G, Prahl U (2017) An attempt to integrate software tools at microscale and above towards an ICME approach for heat treatment of a DP steel gear with reduced distortion. Helm D, Butz A, Raabe D, Gumbsch P (2011) Microstructure-based description of the deformation of metals: theory and application. J Miner Metals Mater Soc 68:70–76Īllison J, Backman D, Christodoulou L (2016) Integrated computational materials engineering: a new paradigm for the global materials profession. Schmitz GJ, Engstrom A, Bernhardt R, Prahl U, Adam L, Seyfarth J, Apel M, de Saracibar CA, Korzhavyi P, Ågren J, Patzak B (2016) Software solutions for ICME. With this ICME workflow, effective properties at the macroscale could be obtained by taking microstructure morphology and orientation into consideration. An ICME-based vertical integration workflow in two stages is proposed.

jmatpro software

The flow curve from virtual test simulation showed good agreement with the flow curve obtained with tensile test in Gleeble ®. FEM-based virtual uniaxial tensile test with Abaqus ® software was used to calculate the effective macroscale flow curves from the phase-field simulated microstructure. Asymptotic homogenization implemented in Homat ® software was used to calculate the effective macroscale thermo-elastic properties from the phase-field simulated microstructure. A single scaling factor introduced in JMatPro ® software minimized the deviation between calculations and experiments. The phase fractions and the phase transformation kinetics simulated by phase-field method agreed well with experiments. The austenite-to-ferrite and austenite-to-bainite transformations during cooling at HAZ were simulated using the Johnson–Mehl–Avrami–Kolmogorov (JMAK) equation implemented in JMatPro ® software and with phase-field modeling implemented in Micress ® software. The resulting phase transformations and microstructure were studied experimentally.

JMATPRO SOFTWARE SIMULATOR

The time–temperature profile at HAZ obtained from FEM simulation was physically simulated using Gleeble 3800 ® thermo-mechanical simulator with a dilatometer attachment. The macroscale simulation of the welding process was performed with finite element method (FEM) implemented in Simufact Welding ® software and was experimentally validated. An integrated computational materials engineering (ICME)-based workflow was adopted for the study of microstructure and property evolution at the heat-affected zone (HAZ) of gas metal arc-welded DP980 steel.








Jmatpro software