CANCELED: Smart Additive Manufacturing: A Modeling and Control Framework for Closing the Loop in 3D Printing

Abstract:  Additive manufacturing (AM) describes a class of processes that perform a layer-by-layer “bottom-up” fabrication approach as opposed to traditional top-down, subtractive fabrication such as milling and lathing. Significant growth in the number and variety of applications for these processes has driven the need for more robust processes. Existing AM systems rely on a process monitoring, regulation, and quality control paradigm that is performed post-process and in an ad hoc manner. In this talk, we discuss some recent developments in process modeling, sensing, and control that aim to break this open-loop paradigm by providing the controls theoretic and process modeling knowledge to develop a robust closed-loop system for measurement and compensatory control.

Biography:  Kira Barton is an Associate Professor and Miller Faculty Scholar in the Department of Mechanical Engineering at the University of Michigan. She received her B.Sc. in Mechanical Engineering from the University of Colorado at Boulder in 2001. She continued her education in mechanical engineering at the University of Illinois at Urbana-Champaign and completed her M.Sc. and Ph.D. degrees in 2006 and 2010, respectively. She held a postdoctoral research position at the University of Illinois from Fall 2010 until Fall 2011, at which point she joined the Mechanical Engineering Department at the University of Michigan at Ann Arbor. Kira conducts research in modeling, sensing, and control for applications in advanced manufacturing and robotics, with a specialization in Iterative Learning Control and micro-additive manufacturing. Kira is the recipient of an NSF CAREER Award in 2014, 2015 SME Outstanding Young Manufacturing Engineer Award, the 2015 University of Illinois, Department of Mechanical Science and Engineering Outstanding Young Alumni Award, the 2016 University of Michigan, Department of Mechanical Engineering Department Achievement Award, and the 2017 ASME Dynamic Systems and Control Young Investigator Award.