Department
of Materials Science and Engineering
Learn more about
Materials Science
RESEARCH DESCRIPTIONOur primary research area is modeling of the microscopic and macroscopic aspects of mechanical behavior of materials. Emphasis are on fatigue life predictions and texture induced yield strength anisotropy. Additional areas of interests include materials processing, texture analysis (CODF), quantitative metallography and fractography, advanced aluminum alloys, metal matrix composites and statistical and artificial intelligence methods in materials science.Current largest project involves development of the microstructure based fatigue life prediction and reliability models. Other projects include (1) modeling of the processing - texture relationships for the aluminum aerospace alloys and metal matrix composites, (2) study of the fracture mode transitions in structural materials, (3) development of the constitutive relations for the solid solution and latent hardening in fcc single crystals and (4) applications of the artificial intelligence and neural networks in materials selection and design.
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