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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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Hybrid carbon fiber/carbon nanotube composites for structural damping applications.

TL;DR: The results indicated that the energy dissipation in the GSD-grown MWCNTs composite can be primarily attributed to the frictional sliding at the nanotube/epoxy interface and to a lesser extent to the stiff thermal shielding SiO2 film on the fiber/matrix interface.
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Analytical Modeling of In-Process Temperature in Powder Bed Additive Manufacturing Considering Laser Power Absorption, Latent Heat, Scanning Strategy, and Powder Packing.

TL;DR: With benefits of the absolute coordinate, and high computational efficiency, the presented model can predict the temperature for a dimensional part during MPBAM, which can be used to further investigate residual stress and distortion in real applications.
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Microstructure design of a two phase composite using two-point correlation functions

TL;DR: In this paper, two-point distribution functions are used as to introduce "Microstructure Sensitive Design" in two-phase composites, which allows the composite designer to include the morphology and distribution in addition to the properties of the individual phases and components.
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Electrochemical Fabrication of Strontium-Doped TiO2 Nanotube Array Electrodes and Investigation of Their Photoelectrochemical Properties

TL;DR: In this paper, the fabrication and photoelectrochemical properties of highly ordered Sr-doped TiO2 nanotube arrays synthesized via a one-step electrochemical anodization technique were reported.
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Three-phase solid oxide fuel cell anode microstructure realization using two-point correlation functions

TL;DR: In this paper, a hybrid stochastic methodology based on the colony and kinetic algorithms was proposed to simulate the virtual microstructure of a three phase anode used in solid oxide fuel cells.