Bernd Rainer Noack | |
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Born | |
Nationality | German |
Alma mater | University of Göttingen |
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Scientific career | |
Fields | Closed-loop flow control for transport systems |
Institutions |
Bernd Rainer Noack (born 17 February 1966, Korbach, West Germany) is a German physicist. His research and teaching area is closed-loop flow control for transport systems. Focus is placed on machine learning control and model-based nonlinear control using reduced-order modelling and nonlinear (attractor) closures. Currently investigated configurations include wakes, mixing layers, jets, combustor mixing and aerodynamic flows around cars and airplanes.
Bernd R. Noack [1] is National Talent Professor at the Harbin Institute of Technology, China, Honorary Professor at Technische Universität Berlin and Fellow of the American Physical Society. He received his degree as diploma physicist from the Georg-August-University, Göttingen, in 1989. He stayed on to receive his physics doctorate in 1992 under Helmut Eckelmann. In the sequel, he had positions at the Max-Planck-Institut für Strömungsforschung, Göttingen, the German Aerospace Center, Göttingen, the University of Göttingen, and the United Technologies Research Center (East Hartford, CT, USA) before he joined Technische Universität Berlin. There, Professor Noack has headed the group "Reduced-Order Modelling for Flow Control" at the School V "Transport and Machine Systems". Later, he was Director of Research CNRS at Institute PPRIME, Poitiers and Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur (LIMSI), Paris-Saclay, France and Professor at Technische Universität Braunschweig, Germany.
Focus of Noack's work are physical theories and mathematical methods for turbulence control. One direction is the development of control-oriented nonlinear models and associated control design building on the Galerkin method, originally proposed by Boris Galerkin. He proposed the first mathematical Galerkin model for the two- and three-dimensional cylinder wake from Hilbert space considerations. Subsequent works employ the proper orthogonal decomposition and propose numerous enablers accounting for the pressure term, subscale turbulence and departures from the training set.
He has distilled three major facets of nonlinearity in dynamical least-order models:
The associated control laws can be derived from energy considerations and have been applied to streamlined and bluff bodies.
Recently, Noack works on implementing the powerful methods of machine learning in turbulence control. Major breakthroughs are learning the control law in real-world experiments with Machine learning control (MLC) and an automated learning the control-oriented dynamical gray-box model from experimental data.
Supplementary projects include data visualization, phenomenological models, vortex models and entropy-based optimization in addition to a spectrum of model-free and model-based control approaches. The breadth of this research builds on a network of cross disciplinary collaborations with leading teams.
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Process engineering is the understanding and application of the fundamental principles and laws of nature that allow humans to transform raw material and energy into products that are useful to society, at an industrial level. By taking advantage of the driving forces of nature such as pressure, temperature and concentration gradients, as well as the law of conservation of mass, process engineers can develop methods to synthesize and purify large quantities of desired chemical products. Process engineering focuses on the design, operation, control, optimization and intensification of chemical, physical, and biological processes. Their work involves analyzing the chemical makeup of various ingredients and determining how they might react with one another. A process engineer can specialize in a number of areas, including the following:
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This is an alphabetical list of articles pertaining specifically to Engineering Science and Mechanics (ESM). For a broad overview of engineering, please see Engineering. For biographies please see List of engineers and Mechanicians.
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Philip Geoffrey Saffman FRS was a mathematician and the Theodore von Kármán Professor of Applied Mathematics and Aeronautics at the California Institute of Technology.
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