Arun Prakash's blog //m.limpotrade.com/blog/2274 en Nanosculpt: A methodology for generating complex realistic configurations for atomistic simulations //m.limpotrade.com/node/19633

Atomistic simulations have now become commonplace in the study of the deformation and failure of materials. Increase in computing power in recent years has made large-scale simulations with billions, or even trillions, of atoms a possibility. Nevertheless, most simulations to-date, are still performed with quasi-2D geometries or rather simplistic 3D setups. Although controlled studies on such well-defined structures are often required to obtain quantitative information from atomistic simulations, for qualitative studies focusing on e.g. the identification of mechanisms, researchers would greatly benefit from a methodology that helps realize more realistic configurations. The ideal scenario would be a one-on-one reconstruction of experimentally observed structures. To this end, we propose a new method and software tool called NanoSCULPT with the following features: • The method allows for easy sample generation for atomistic simulations from any arbitrarily shaped 3D enclosed volume. • The tool can be used to build atomistic samples from artificial geometries, including CAD geometries and structures obtained from simulation methods other than atomistic simulations. • The tool enables the generation of experimentally informed atomistic samples, by e.g. digitization of micrographs or usage of tomography data. The paper has been recently published in the open access journal MethodsX. A. Prakash, M. Hummel, S. Schmauder and E. Bitzek [2016]: NanoSCULPT: A methodology for generating complex realistic configurations for atomistic simulations MethodsX, For full text, click here (doi:10.1016/j.mex.2016.03.002 )

Sat, 19 Mar 2016 09:56:44 +0000 Arun Prakash 19633年在https: //m.limpotrade.com //m.limpotrade.com/node/19633#comments //m.limpotrade.com/crss/node/19633
Atom probe informed atomistic simulations reveal the importance of local interface curvature //m.limpotrade.com/node/19126

The interaction of dislocations with precipitates is an essential strengthening mechanism in metals, as exemplified by the superior high-temperature strength of Ni-base superalloys. Here we use atomistic simulation samples generated from atom probe tomography data of a single crystal superalloy to study the interactions of matrix dislocations with a gamma' precipitate in molecular dynamics simulations. It is shown that the precipitate morphology, in particular its local curvature, and the local chemical composition significantly alter both, the misfit dislocation network which forms at the precipitate interface, and the core structure of the misfit dislocations. Simulated tensile tests reveal the atomic scale details of many experimentally observed dislocation–precipitate interaction mechanisms, which cannot be reproduced by idealized simulation setups with planar interfaces. We thus demonstrate the need to include interface curvature in the study of semicoherent precipitates and introduce as an enabling method atom probe tomography-informed atomistic simulations.

A. Prakash, J. Guénolé, J. Wang, J. Müller, E. Spiecker, M.J. Mills, I. Povstugar, P. Choi, D. Raabe, E. Bitzek

doi:10.1016/j.actamat.2015.03.050

Sun, 15 Nov 2015 22:59:58 +0000 Arun Prakash 19126 at //m.limpotrade.com //m.limpotrade.com/node/19126#comments //m.limpotrade.com/crss/node/19126
A multiscale simulation framework of the ARB process https://万博manbetx平台m.limpotrade.com/node/19125 < div class = "字段field-name-taxonomy-vocabulary-6field-type-taxonomy-term-reference field-label-hidden">

The accumulative roll bonding process is one of the most prominent severe plastic deformation processes for obtaining sheet materials with ultra-fine-grained microstructures and high strength. The properties of such sheets differ significantly from those of conventionally rolled sheets. It is hence desirable to have a simulation framework that can accurately predict the material properties, including the evolving texture and anisotropy during processing. Here, we propose such a framework for multiple pass rolling using explicit finite elements and embedding the visco-plastic self-consistent (VPSC) polycrystal texture model for the material response. To facilitate multiple pass rolling, we propose a novel solution mapping scheme that transfers the material state from the deformed finite element mesh to a new one. Additionally, we implement a two-level parallelization scheme – with decomposition of the FE domain using message passing interface (MPI) and thread based parallelization of the material response using openMP – to ensure reduced simulation times. The predictive capabilities of the proposed framework are demonstrated by simulating the accumulative roll bonding of aluminum alloy AA5754 sheets. The simulations validate the working of the solution mapping scheme, and clearly show the development of a through thickness gradient of texture and anisotropy in the roll-bonded sheet after two passes.

A. Prakash, W.G. Nöhring, R.A. Lebensohn, H.W. Höppel, E. Bitzek [2015], Materials Science & Engineering A 631, 104-119
doi:10.1016/j.msea.2015.02.005

Sun, 15 Nov 2015 22:36:23 +0000 Arun Prakash 19125 at //m.limpotrade.com https://万博manbetx平台m.limpotrade.com/node/19125#comments //m.limpotrade.com/crss/node/19125