# ICME approach to develop 3rd Generation of Advanced High Strength Steel

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− | Use Density | + | Use Density functional theory (DFT) to identify modified embedded-atom method [[File:ICME multiscale.png|right|thumb|650px|Figure 1. ICME multiscale model for developing 3rd Generation AHSS alloys. The bridges shows downscaling and upscaling requirements for developing the alloy]](MEAM) potentials which will be the bridge to nanoscale. Elastic Moduli obtained from the DFT calculations will be the bridge to internal state variable (ISV) continuum model. |

==Nanoscale== | ==Nanoscale== |

## Latest revision as of 15:38, 14 March 2016

## Contents |

## [edit] Introduction

3rd Generation Advanced High Strength Steel (AHSS) alloys have been identified as the steel of future for lightweight vehicles because of the capability to increase passenger safety and fuel efficiency while decreasing the carbon footprint of the vehicle. A heat treatment process, Quenching and Partitioning (Q&P), has been developed by the Colorado School of Mines; Q&P yields steel properties as described by American Iron and Steel Institute for 3rd Generation AHSS. The steel can be successfully produced in the lab but not on the production line, as the process requires multiple thermal cycles currently not available on most production lines. Observations showed that the mechanical properties of Q&P steel produced in the lab depend significantly on the quenching temperature, partitioning temperature and partitioning time. The key lies in martensite decarburization and austenite retention, where austenite stabilization is a problem which can be solved by introduction of alloying elements. The challenge now is to identify alloying elements, heat treatments and manufacturing processes that will allow mass production of Q&P steels with acceptable uncertainties in the mechanical properties. To overcome these challenges, we first need to have a good understanding of the process-structure-property relationship. Developing Q&P steels is a multiscale problem and Integrated Computational Mechanical Engineering (ICME) approach can be used to find the mechanisms driving the effect of alloying on the mobility of martensite interface and stability of austenite, in an effort to find the alloys and the designing process. Figure 1 shows a multiscale ICME approach to developing 3rd generation AHSS.

## [edit] Electronic Scale

Use Density functional theory (DFT) to identify modified embedded-atom method (MEAM) potentials which will be the bridge to nanoscale. Elastic Moduli obtained from the DFT calculations will be the bridge to internal state variable (ISV) continuum model.## [edit] Nanoscale

Molecular dynamics (MD) simulations can be used to perform temperature and stress loading on grain boundary and phase boundary to calculate mobility and mechanisms that lead to grain boundary and phase boundary migrations. Important Grain Boundaries and Phase Boundaries can be found from experimental transmission electron microscopy (TEM) and electron backscatter diffraction (EBSD) results and reconstructed through MD simulations. This simulation will form a bridge with the continuum model by providing boundary energy. The simulations will also provide intrinsic defective structure associated with the grain boundary which will be a helpful parameter for dislocation dynamics and phase field modeling at the mesoscale. Micro-3D can be used to calculate defects/strengthening/hardening, providing dislocation motion for the macroscale model and hardening rules for the next scale.

## [edit] Mesoscale

The effect of intrinsic defective structure of grain boundary and phase boundary on mobility, grain growth and phase transformation can be integrated in the phase field model. The simulations can show the effect of different alloying elements on the microstructure and texture of the Q&P steel.

## [edit] Microscale

Microstructure-based finite element approach can be used to test the formability of the Q&P steel. The results obtained through simulations can be validated with the forming limit curved obtained by experimental data.

## [edit] Macroscale

At the macroscale, multiphase ISV theory can be developed by collecting all the data from the downscaling bridge with some uncertainties.

## [edit] References

[1] Louis G. Hector, Jr. 2013. The Next Generation of Advanced High Strength Steels– Computation, Product Design and Performance. www.autosteel.org. http://www.autosteel.org/~/media/Files/Autosteel/Great%20Designs%20in%20Steel/GDIS%202013/The%20Next%20Generation%20of%20Advanced%20High-Strength%20Steels.pdf

[2] Li J., Wang Y., 2007. AHSS: Multi-scale Modeling of Deformation Mechanism for Design of New Generation of Steel. University of Pennsylvania. http://grantome.com/grant/NSF/CMMI-0728069

[3] Hao S., Liu Wing Kam, Moran B., Vernerey F., Olson Gregory B. Multi-scale constitutive model and computational framework for the design of ultra-high strength, high toughness steels. Computer Methods in Applied Mechanics and Engineering. Vol. 193, Issue 17-20, 7 May 2014, Pages 1865-1908.

[4] S. A. Asgari, P.D. Hodgson, C. Yang, B.F. Rolfe. Modeling of Advanced High Strength Steels with realistic microstructure-strength relationship. Computational Materials Science. Vol.45, Issue 4, June 2009, Pages 860-866.