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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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Creep Properties of Solid Oxide Fuel Cell Glass-Ceramic Seal G18

TL;DR: In this paper, the authors used nanoindentation to investigate and measure the creep properties of a barium calcium alumino-silicate glass-ceramic used for solid oxide fuel cell seals (SOFCs).
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Finite element simulation of residual stress in machining of Ti-6Al-4V with a microstructural consideration:

TL;DR: The high temperature condition in the turning process could impact the corrosion resistance and fatigue life of the manufacturing end-product as discussed by the authors, which plays a significant role in the residual stress in the manufacturing process.
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Modeling thermal conductivity in UO2 with BeO additions as a function of microstructure

TL;DR: In this article, the authors present simulation results for the thermal conductivity of UO2/BeO composites using statistical continuum mechanics, which successfully capture the microstructural heterogeneity and predict the corresponding anisotropic thermal properties.
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Processing path optimization to achieve desired texture in polycrystalline materials

TL;DR: In this article, a processing path model based on a principal of conservation in the orientation space and the existence of a texture evolution parameter is proposed for predicting the texture evolution starting from other initial textures for any specific deformation path.
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The evolution of probability functions in an inelasticly deforming two-phase medium

TL;DR: In this paper, a formulation for the evolution of correlation functions in an inelastically deforming two-phase medium is introduced, where a two-point probability function representation is used to approximate the statistical correlation functions.