Browsing by Author "Arroyave, Raymundo"
Now showing items 21-40 of 120
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Johnson, Luke A (2015-11-09)The computer-aided materials design process, otherwise known as Integrated Computational Materials Engineering (ICME), is highly iterative and as such requires flexible tools that have the ability to link processing, ...
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Johnson, Luke Aaron (2019-02-07)The discovery of new materials is a necessary component for the advancement of humanity as a species, which is evidenced by the common practice of delineating major eras of humanity by the materials associated with the ...
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Chari, Arpita (2012-10-19)Shape Memory Alloys (SMAs) are advanced materials with interesting properties such as pseudoelasticity (PE) and the shape memory effect (SME). Recently, the CoNiGa system has emerged as the basis for very promising High ...
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Li, Sheng-Yen (2013-08-06)The purpose of this work is to optimize the chemical composition as well as the heat treatment for improving the mechanical performance of the TRIP steel by employing the theoretical models. TRIP steel consists of the ...
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Dogan, Ebubekir (2011-10-21)Shape memory alloys (SMAs) are an important class of smart materials that have the ability to remember a shape. Current practical uses of SMAs are limited to below 100 degrees C which is the limit for the transformation ...
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Abu-Odeh, Anas A. (2017-04-24)High-entropy alloys (HEAs) are multi-principal element alloys at near-equiatomic concentrations that can have superior properties such as high irradiation resistance, high fatigue resistance, and high temperature usage, ...
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Monroe, James Alan; Karaman, Ibrahim; Arroyave, Raymundo (United States. Patent and Trademark Office; Texas A&M University. Libraries, 2020-11-03)A controlled thermal coefficient product manufacturing system and method is disclosed. The disclosed product relates to the manufacture of metallic material product (MMP) having a thermal expansion coefficient (TEC) in a ...
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Xue, Lei (2021-11-08)Laser powder bed fusion is a promising additive manufacturing technique for the fabrication of NiTi shape memory alloy parts with complex geometries that are otherwise difficult to fabricate through traditional processing ...
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McClenny, Levi Daniel (2022-04-13)Extensive work in applying deep learning to broader fields of science and engineering have been emerging in recent times, to include materials informatics, thermodynamics, and numerous other fields of computational sciences. ...
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Wilson, Nathan Robert (2022-08-17)The advancements in materials have driven significant progress in humanity which is largely enabled by a deeper understanding of fundamental materials science. For materials, the potential energy surface of the atomistic ...
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A Data Driven Machine Learning Approach to Prediction of Stacking Fault Energy in Austenitic Steels Chaudhary, Nayan (2016-08-05)The Material Genome Initiative (MGI) calls for establishing frameworks and adopting methodologies to accelerate materials discovery and deployment. The Integrated Computational Materials Engineering (ICME) approach and ...
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Flynn, Kevin Joseph (2009-05-15)This thesis demonstrates the practicability of using Resonant Ultrasound Spectroscopy (RUS) in combination with Finite Element Analysis (FEA) to determine the size and location of a defect in a material of known geometry ...
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Gehring, Dominic F. (2020-12-02)Thermal expansion control is key to further optimization of systems with large heat gradients or changes in temperature, and where extreme precision is required. Manipulation of this property in materials has traditionally ...
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Jonnalagadda, Sai Vamshi Reddy (2019-08-22)The self-assembly of short peptides into amyloid structures is linked to several diseases but has also been exploited for the design of novel functional amyloid-based materials. Such materials are potentially biocompatible ...
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Agboola, Babatunde Omogbolahan (2015-07-30)Continuum thermodynamic constitutive phase field models are developed to simulate the rate dependent, thermomechanical response and precipitate formation in shape memory alloys (SMAs). The two models are based on the ...
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Huang, Yongxin (2010-01-16)Micromagnetic modeling numerically solves magnetization evolution equation to process magnetic domain analysis, which helps to understand the macroscopic magnetic properties of ferromagnets. To apply this method in simulation ...
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Zamarripa, Jessica Jeneve (2022-12-14)A multiphysics topology optimization tool, if created properly, has the ability to be used to evaluate and analyze AC circuit designs for the development of novel electronics and flexible circuits created from liquid ...
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Doraiswamy, Srikrishna (2012-02-14)The aim of this work is to present a model for the superelastic response of Shape Memory Alloys (SMAs) by developing a Preisach Model with thermodynamics basis. The special features of SMA superelastic response is useful ...
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Distribution Optimal Importance Weights For Efficient Uncertainty Propagation Through Model Chains Sanghvi, Meet (2019-11-12)This thesis proposes a least squares formulation to determine a set of empirical importance weights to achieve a change of probability measure. The objective of the thesis is to estimate statistics from a target distribution ...
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Umale, Tejas (2020-07-24)Shape memory alloys (SMAs) are a class of material that can “memorize” their original shape and recover it when stimulated with temperature or stress or both. For the increasing need of high temperature SMAs for advanced ...