Additive manufacturing (AM) is making a profound impact on the way engineers realize customized parts, but fully realizing the manufacturing freedom afforded by AM requires some significant advances in engineering design methods and tools. For some additive manufacturing applications, simulation-based design tools may be required to explore a hierarchy of features, ranging in size from microns to meters. At the same time, these tools need to provide real-time feedback on the constraints and process-structure-property relationships relevant to specific AM technologies, and this Design-for-AM feedback is needed during the design process, rather than at the end. To address these challenges, a design exploration approach has been established for creating inverse maps of promising regions of a hierarchical structural/material design space. The approach utilizes Bayesian network classifiers for identifying sets of promising solutions to a materials design problem by efficiently utilizing information gained from simulations, experiments, and/or expert knowledge. Manufacturability and uncertainty are also taken into account. The capabilities of the approach are demonstrated by applying it to the hierarchical design of negative stiffness metamaterials for energy absorption applications.
Carolyn Conner Seepersad is an associate professor of Mechanical Engineering at The University of Texas at Austin. She received a B.S. from West Virginia University in Mechanical Engineering , a Ph.D. from Georgia Tech in Mechanical Engineering, and a BA/MA from Oxford University as a Rhodes Scholar. Her research interests include design for additive manufacturing, simulation-based design, design innovation, and lightweight structures. Dr. Seepersad has earned many awards for her research and teaching, including the University of Texas Regents’ Award for Outstanding Teaching, the Outstanding Young Investigator award from the ASME Design Automation Committee, the inaugural International Outstanding Young Researcher Award in Freeform and Additive Manufacturing from the additive manufacturing community, and best paper awards from the ASME International Design Engineering Technical Conference, the ASEE Annual Conference and Exposition, and the Solid Freeform Fabrication Symposium. She is an associate editor for the ASME Journal of Mechanical Design and the author of more than 100 peer-reviewed conference and journal publications and one book. She teaches courses on product design, additive manufacturing, and design of complex engineered systems. Her research has been featured by several popular media outlets including Popular Science.