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Description
Intelligent engineering designs require an accurate understanding of material behavior, since any uncertainties or gaps in knowledge must be counterbalanced with heightened factors of safety, leading to overdesign. Therefore, building better structures and pushing the performance of new components requires an improved understanding of the thermomechanical response of advanced materials

Intelligent engineering designs require an accurate understanding of material behavior, since any uncertainties or gaps in knowledge must be counterbalanced with heightened factors of safety, leading to overdesign. Therefore, building better structures and pushing the performance of new components requires an improved understanding of the thermomechanical response of advanced materials under service conditions. This dissertation provides fundamental investigations of several advanced materials: thermoset polymers, a common matrix material for fiber-reinforced composites and nanocomposites; aluminum alloy 7075-T6 (AA7075-T6), a high-performance aerospace material; and ceramic matrix composites (CMCs), an advanced composite for extreme-temperature applications. To understand matrix interactions with various interfaces and nanoinclusions at their fundamental scale, the properties of thermoset polymers are studied at the atomistic scale. An improved proximity-based molecular dynamics (MD) technique for modeling the crosslinking of thermoset polymers is carefully established, enabling realistic curing simulations through its ability to dynamically and probabilistically perform complex topology transformations. The proximity-based MD curing methodology is then used to explore damage initiation and the local anisotropic evolution of mechanical properties in thermoset polymers under uniaxial tension with an emphasis on changes in stiffness through a series of tensile loading, unloading, and reloading experiments. Aluminum alloys in aerospace applications often require a fatigue life of over 109 cycles, which is well over the number of cycles that can be practically tested using conventional fatigue testing equipment. In order to study these high-life regimes, a detailed ultrasonic cycle fatigue study is presented for AA7075-T6 under fully reversed tension-compression loading. The geometric sensitivity, frequency effects, size effects, surface roughness effects, and the corresponding failure mechanisms for ultrasonic fatigue across different fatigue regimes are investigated. Finally, because CMCs are utilized in extreme environments, oxidation plays an important role in their degradation. A multiphysics modeling methodology is thus developed to address the complex coupling between oxidation, mechanical stress, and oxygen diffusion in heterogeneous carbon fiber-reinforced CMC microstructures.
ContributorsSchichtel, Jacob (Author) / Chattopadhyay, Aditi (Thesis advisor) / Dai, Lenore (Committee member) / Ghoshal, Anindya (Committee member) / Huang, Huei-Ping (Committee member) / Jiao, Yang (Committee member) / Oswald, Jay (Committee member) / Arizona State University (Publisher)
Created2022
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Description
This paper focuses on the sample preparation and material characterization of a carbon fiber-reinforced silicon carbonitride (C/SiNC) ceramic matrix composite (CMC) system. C/SiNC CMC systems have desirable mechanical and thermal properties which makes them suitable for a wide variety of applications ranging from aerospace to power generation. CMCs are highly

This paper focuses on the sample preparation and material characterization of a carbon fiber-reinforced silicon carbonitride (C/SiNC) ceramic matrix composite (CMC) system. C/SiNC CMC systems have desirable mechanical and thermal properties which makes them suitable for a wide variety of applications ranging from aerospace to power generation. CMCs are highly susceptible to manufacturing-induced defects, and the effect of these defects on the microscale damage behavior of the microstructure of these CMCs has not been researched. In order to perform the material characterization study, samples of the C/SiNC CMC system had to be prepared through a meticulous polishing process. After the samples were prepared, micrographs of the intratow region of the samples were captured using a confocal microscope. Feature extraction were subsequently performed on the micrographs that were captured. Different image processing techniques were applied to the captured micrographs to quantify the features that were identified.
ContributorsRanade, Rayva (Author) / Chattopadhyay, Aditi (Thesis director) / Khafagy, Khaled (Committee member) / Barrett, The Honors College (Contributor) / Mechanical and Aerospace Engineering Program (Contributor) / Materials Science and Engineering Program (Contributor)
Created2022-05