Optimization Based Materials Design and Manufacturing
Abstract
Advances in materials are key to enabling new capabilities in the US Air Force. However, despite improvements in computational modeling of materials and materials properties through the development of empirical models, finite element analysis, or molecular dynamics and density functional theory simulations, our current methods of designing new materials which respect desired properties remain largely driven by experiment, which can be costly, and experience. At the same time, we are seeing advances in our understanding of chemistry and physics that are leading to materials that take advantage of small scale phenomena such as forces between molecules and therefore pose challenges for manufacturing. A computational approach to materials design and processing is therefore required to enable the potential of next generation materials to be realized and to enhance the economic optimality of processing-manufacture for current and future materials. Motivated by these considerations, the proposed research will develop for the first time a comprehensive optimization based framework for computationally tractable materials design and real time control (applied in the context of both manufacturing and use) based on approximations to first principles (atomistic) materials models, which will be demonstrated with respect to simulations of a number of materials types and chemistries. Specifically, the following objectives will be addressed: 1) the development of a reduced order modeling framework for material behavior from atomistic simulations suitable for real time control and computationally tractable design; 2) the development of output feedback control designs for materials manufacturing; 3) the development of an optimization based framework for optimal materials selection given target properties and manufacturing costs; 4) the development of feedback controllers which account for interactions between a material and its environment; and 5) simulation examples which explore
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jan 14, 2022
- Source ID
- FA95501910059
Entities
People
- Helen Durand
Organizations
- Air Force Office of Scientific Research
- United States Air Force
- Wayne State University