AEROSPACE ENGINEERING

Abstract

Additive manufacturing promises to achieve unprecedented mechanical properties and performance in engineered systems by providing the ability to co-design the material and the structure. Design of high-performing engineered systems (e.g., hypersonic airframe, etc.) that operate at or near their limit states (i.e., near failure) within reasonable cost and reliability budgets must rely on such material and structural innovations. In this talk, we will discuss new multiscale modeling and simulation strategies that allow the quantification of the relationships between the microstructure of additively manufactured (AM) metals and their mechanical performance. We will discuss new reduced-order multiscale modeling approaches that allow us to perform physics-based prediction of the material response fast – fast enough to facilitate quantification of uncertainty in the material response. We will demonstrate the computational efficiency and accuracy characteristics of the proposed simulation methods for static and fatigue failure response of AM metals. Fatigue performance is of particular interest as the fatigue life of AM components is both sensitive to the defect distribution induced by the manufacturing process and shows significant variability from component to component.

Speaker

Dr. Caglar Oskay

Cornelius Vanderbilt Professor of Engineering, Department Chair and Professor of Civil and Environmental Engineering, and Professor of Mechanical Engineering at Vanderbilt University. He served as Program Director for Engineering for Civil Infrastructure at the National Science Foundation between 2019-2021. Prof. Oskay received an M.S. in Applied Mathematics and an M.S. and Ph.D. in Civil Engineering from Rensselaer Polytechnic Institute. He previously held the title of Chancellor Faculty Fellow at Vanderbilt University. He is a fellow of ASME and ASCE Engineering Mechanics Institute. He also serves as the Associate Editor of the Journal of Applied Mechanics and the International Journal for Multiscale Computational Engineering. His research interests include multiscale investigations into the failure response of materials under extreme or dynamic loading environments.