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Biographie et livres d'Hamid Garmestani

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Dr. Hamid Garmestani is a Professor in the School of Materials Science and Engineering at the Georgia Institute of Technology and a fellow of ASM International and American Society of Mechanical Engineering (ASME). His main research and teaching interests focus on the relationships between microstructure and properties in textured polycrystalline materials, composites, superplastic, magnetic, and thin film layered structures. He employs models based on phenomenological and statistical mechanics
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Téléchargez le livre :  Fundamentals of Microstructural Characterization of Materials
Fundamentals of Microstructural Characterization of Materials

Hamid Garmestani , Navid Nasajpour Esfahani


Elsevier

2025-11-20

epub sans DRM

Fundamentals of Microstructure Characterization of Materials is an essential resource for understanding the various techniques and methods used in material characterization. This book delves into spectroscopic methods involving electromagnetic...

148,74

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Télécharger le livre :  On the Abnormal/Coarse Grain Formation in K-Monel 500 Alloy
This book helps unlock the root cause of abnormal grain growth in a commercial nickel alloy. The chapters explore the effects of different solution treating and aging techniques, showing how they impact the hardness properties of hot-rolled and cold-drawn Monel K-500....

Editeur : Springer
Parution : 2023-05-31
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47,46

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Télécharger le livre :  Emerging Trends in Neuro Engineering and Neural Computation
This book focuses on neuro-engineering and neural computing, a multi-disciplinary field of research attracting considerable attention from engineers, neuroscientists, microbiologists and material scientists. It explores a range of topics concerning the design and...

Editeur : Springer
Parution : 2017-03-23
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147,69

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Télécharger le livre :  Applied RVE Reconstruction and Homogenization of Heterogeneous Materials
Applied RVE Reconstruction and Homogenization of Heterogeneous Materials Statistical correlation functions are a well-known class of statistical descriptors that can be used to describe the morphology and the microstructure-properties relationship. A comprehensive...

Editeur : Wiley-ISTE
Parution : 2016-06-14
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163,47

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