Prof. Steven Shaw, Harris Professor
Department of Mechanical and Civil Engineering
Florida Institute of Technology, Melbourne, FL, USA
University Distinguished Professor Emeritus
Adjunct Professor of Physics and Astronomy
Michigan State University, East Lansing, MI, USA
Short BIOAfter spending most of his career at Michigan State University, Prof. Shaw moved to Florida Institute of Technology.
His research interests are centered on the development of physics-based, predictive models for vibrational systems, and the use of these models for design. Special emphases are on models that account for nonlinear behavior and noise. His research projects involve close collaboration with experimental and/or industrial research groups that guide and confirm these modeling efforts. Specific applications include resonant micro-electro-mechanical-systems used for sensing and frequency synthesis, and centrifugal pendulum vibration absorbers used for attenuating torsional vibration in automotive powertrain components. His recent work has been funded by NSF, Fiat-Chrysler, Valeo, DARPA, and ARO. He has received several Awards, among which, the N.O. Myklestad Award from ASME in 2013.
Designing for and with Nonlinearity in Vibrating SystemsThis talk will touch on two categories of problems in which one must account for nonlinearity in the design of vibrating systems. The first type addresses problems for which one must understand the limits imposed by nonlinear effects in order to optimize designs based on linear response. The second type deals with applications for which one can intentionally exploit nonlinear behavior, or for which nonlinearity is essential. Examples of successful designs from both categories will be described, some of which are used in commercial products. These include torsional vibration absorbers for automotive drivetrains and micro-scale resonators used for sensing and time-keeping. Some recently developed tools that may help further advance the field will also be described, and some thoughts will be shared about what the community can do to promote the use of nonlinear dynamics in practice.
Prof. Friedrich Pfeiffer, TUM-Emeritus of Excellence
Institute for Applied Mechanics
Technical University of Munich, Germany
Short BIOAfter sixteen years in industry, Friedrich Pfeiffer moved to the Technical University of Munich. His industrial focus was astronautics and guided missile engineering. His theoretical research at the TUM focused on the fundamentals of multibody system dynamics, and on the propulsion engineering of all kinds of transmission systems as well as in robotics and walking. Elastic multibody systems with one-sided contacts became a wholly new focus in a basic research. The simulation of CVT transmissions and the creation of the two-legged walking robot JOHNNIE are typical practical examples of this. He received the Körber European Science Award in 1993 for his work in the field of walking robots. His working environment always featured extensive international and interdisciplinary cooperation. Since 1990, he has been involved in the publication of more than ten international professional journals and book series. Friedrich Pfeiffer received numerous distinctions and honorary memberships for his academic work. Since 2007, he has coordinated the Leonardo da Vinci Center for Bionics at the Technical University of Munich. He has received several honorary doctorates, among which, Russian Academy of Sciences (RAS), Russia (1998), Technical University of Dresden, Germany (2004), University of Bologna, Italy (2008). In 2010 he received the prestigious ASME Leonardo da Vinci Award for outstanding achievements in the development or discovery of a product considered an important advancement in machine design.
Motion Spaces of Machine-Process CombinationsMachines and mechanisms realize processes, from the shaping process of a milling machine to the motion process of an automotive system. The dynamics of a machine generated by a properly chosen set of constraints in combination with an appropriate drive system is designed to meet the prescribed requirements of the process, which is done by projecting the machine equations of motion on the process dynamics. We get a set of nonlinear relations, which represent the machine motion in terms of the required process motion. A well-known example is the projection of arbitrary many robot degrees of freedom on one given path degree of freedom resulting in a set for evaluating possible motion spaces, now supplemented also by constraint force spaces, helpful for design and optimization. For multidimensional processes things become more complex but feasible. This talk will present a corresponding approach applying multibody system theory in combination with transformations from the machine side to the process side and vice versa. Practical aspects will be discussed and examples given.
Prof. Haiyan Hu, Professor and President
Beijing Institute of Technology, Beijing, China
Short BIOAfter receiving a Ph. D. in Applied Mechanics from Nanjing University of Aeronautics and Astronautics, he followed his career path at that university until becoming the President of Beijing Institute of Technology in 2007. He has made peer recognized contributions to the nonlinear dynamics and control of aerospace systems, such as the delayed control of flexible structures, the active flutter suppression of aircraft structures, the nonlinear vibration isolation of missile stabilizers, and the deployment dynamics of large space antennas. He has also played an important role in promoting the Chinese academia as the President of Chinese Society of Theoretical and Applied Mechanics and the Vice President of Chinese Society of Aeronautics and Astronautics over the past decade.
He received a dozen of awards and honors for his achievements, including National Award of Natural Science twice (2006, 2012), Fellow of Chinese Academy of Science (2007), Fellow of The World Academy of Science, Honorary Doctor of Moscow State University, Russia (2015), and Honorary Doctor of Science of University of Reading, UK (2016), respectively.