Materials Research Laboratory

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Materials Science and Engineering Colloquium

Event Type
Seminar/Symposium
Sponsor
Materials Science and Engineering
Date
Jan 28, 2019   4:00 pm  
Speaker
Michele Manuel, Department of Materials Science & Eng., University of Florida
Views
17
Originating Calendar
MatSE Seminars

“Application of computation thermodynamics and kinetics in light metal alloy design”

 

Modern materials contain extraordinary levels of complexity with components spanning a hierarchy of length scales. Designing materials that contain complex microstructures and demonstrate unique behaviors would be difficult solely using a reductionist approach to materials development.   Although this approach has led to many technological breakthroughs, the rapid evolution of technology and the need for a shortened materials development cycle are driving materials scientists toward a more predictive approach based on design. A powerful utility in this endeavor is the use of computational thermodynamic and kinetic tools.  The integration of these tools into a systems-based materials design methodology that couples experimental research with theory and mechanistic modeling has been established to accelerate materials development.  Microstructural properties can be expressed as thermodynamic parameters that are predictable by computational thermodynamic tools, while kinetic simulations can assist in elucidating processing-structure relationships to quantify microstructural evolution.  Experimental prototypes are then created to experimentally analyze and validate the design models that feed back into the working design for optimizing materials performance while minimizing design iterations. A road map for materials design and its relationship to computational thermodynamics and kinetics will be discussed in its application to structural materials where active mechanisms are complex and interacting.   This talk focuses on the high temperature magnesium alloy development as a model system. It will be shown that strategically pairing experimental and computational methodologies will minimize the need for large-scale experiments while simultaneously promoting the rapid development of materials

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