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Automated Graph Synthesis in Engineering Design and Manufacturing
SpeakerProfessor Matthew I. Campbell, University of Texas at Austin
Date Feb 5, 2013
Time 4:00 pm
Location 303 Transportation Building
Sponsor ISE Seminar
Contact Holly Kizer
Event type Special Topics
Originating Calendar MechSE Events
A method for computationally solving design and manufacturing problems is presented, which combines two mathematical programming research areas: numerical optimization and graph rewriting. While optimization can determine values of parameters within a design, engineering designers must also determine what components to use within a design and how those components are to be connected. To date, existing numerical methods have had limited success in helping engineers with such topological decisions. This research sets out to develop new algorithmic approaches to simultaneously define a best topology, which is represented as a graph, and the best parameters within the graph. This is accomplished by combining artificial intelligence tree-searching methods with gradient and stochastic optimization. To date, the graphs synthesis methods have been used to represent sheet metal parts, gear trains, neural networks, planar mechanisms, truss structures, fluidic channels and the connection of components in large assemblies (i.e. liaison graph). This seminar will present an overview of the methods along with recent results from projects sponsored by NSF and DARPA.
Dr. Matthew I. Campbell is a mechanical engineering professor with research focusing on automating difficult or tedious engineering design tasks. For more than 15 years, he has focused on methods that independently create solutions for typical mechanical engineering design problems like gear trains, sheet metal, planar mechanisms, and planning for manufacturing, assembly and disassembly. As such he has become a world-class expert in a variety of fields such as machine design, design theory, artificial intelligence, graph theory and numerical optimization. He is a William J. Murray Fellow within the Cockrell School of Engineering at The University of Texas at Austin, a Hans Fischer Senior Fellow at the Technical University of Munich, and a 2005 NSF CAREER awardee. He has over a hundred published articles and has been acknowledged with best paper awards at conferences by the ASME, ASEE, and the Design Society. He received his PhD from Carnegie Mellon University in 2000 with honors and membership in Phi Kappa Phi and Pi Tau Sigma.