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A study on the effect of incorporation of microstructure information on macroscale finite element simulation of inter-critical annealing in Dual Phase Steel

Wednesday (28.09.2016)
17:15 - 17:30
Part of:

Dual phase steels are potential alternate materials for gear manufacturing. In the integrated computational engineering of such a product, one important step is the macro scale simulation of industrial heat treatment process. Microstructure plays a major role in the macroscale properties used in such a simulation as the heat treatment process involves phase transformations. One such relevant process step is intercritical annealing in DP steels. Simulation of this process at macroscale using finite element method requires material properties that depend on the microstructure of the material during the gamma-alpha phase transformation. In conventional FEM approach, the general rule of mixture is used to calculate the effective macroscale properties using the phase fraction calculated from CCT diagrams. This work aims in comparing a conventional FEM simulation with homogenization technique that takes into account the information from the microstructure. Unlike the conventional rule of mixture route which takes into account only the volume fraction of the phases, the homogenization approach considers both morphology and volume fraction of the phases. Multi-Phase field modeling, implemented in MICRESS® software, is used to predict the microstructure evolution during the heat treatment process and asymptotic homogenization is used to predict the macroscale effective properties from the simulated microstructure. Using the effective properties, a macroscale simulation of the heat treatment is performed on a layered model using finite element method implemented in the software package Simufact-Forming®. Using the thermal profile at the various layers, the process chain is repeated to finally obtain the thermal profile at the core of the model. This profile is compared with the physical simulation results using thermo-mechanical simulation.

John Deepu
Indian Institute of Technology
Additional Authors:
  • Hamidreza Farivar
    RWTH Aachen University
  • Pramod Zagade
    Tata Research Developement and Design Center(TRDDC)
  • Danish Khan
    Tata Research Developement and Design Center(TRDDC)
  • Gerald Rothenbucher
    Simufact Engineering GmbH
  • Prof. Gandham Phanikumar
    Indian Institute of Technology Madras
  • Dr. Ulrich Prahl
    RWTH Aachen University
  • Dr. Ralph Bernhardt
    Simufact Engineering GmbH
  • Dr. Gautham BP
    Tata Research Developement and Design Center(TRDDC)