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Hamid Garmestani

Researcher at Georgia Institute of Technology

Publications -  267
Citations -  7474

Hamid Garmestani is an academic researcher from Georgia Institute of Technology. The author has contributed to research in topics: Microstructure & Texture (crystalline). The author has an hindex of 41, co-authored 258 publications receiving 6293 citations. Previous affiliations of Hamid Garmestani include Cornell University & Florida A&M University – Florida State University College of Engineering.

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Thermo-mechanical modeling of thermal stress in metal additive manufacturing considering elastoplastic hardening

TL;DR: In this paper, a thermomechanical analytical model is proposed to predict the in-process elastoplastic hardening thermal stress and strain for single-track scan strategy, which is validated using experimental results of melt pool geometry.
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Modeling the evolution of anisotropy in Al–Li alloys: application to Al–Li 2090-T8E41

TL;DR: In this article, a Taylor-type crystal plasticity model was formulated to predict the yield strength of the fully processed sheet and its anisotropy, while accounting for the initial texture in the hot-worked sheet, its evolution during the cold-working step prior to aging, and the inhomogeneous nucleation of the T1 phase platelets (these are known to form on {111} planes, but not usually in equal amounts on the different planes in a given crystal).
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Computational analysis of geometrical factors affecting experimental data extracted from hydrogen permeation tests: II – Consequences of trapping and an oxide layer

TL;DR: In this paper, the authors analyzed the combined effects on diffusion of hydrogen trapping and the presence of an oxide layer at the exit side of the material using the Finite Elements Method.
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Mechanical properties of MP35N as a reinforcement material for pulsed magnets

TL;DR: In this paper, a cobalt multiphase alloy, MP35N, is studied as one of the reinforcement materials for pulsed magnets and the properties of this alloy at room temperature and 77 K are examined.
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Analytical modeling of in-process temperature in powder feed metal additive manufacturing considering heat transfer boundary condition

TL;DR: In this paper, a physics-based predictive model to estimate the in-process temperature in powder feed metal additive manufacturing (PFAM) based on the absolute coordinate with a stationary origin is presented.