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SUMMARY:MICDE Faculty seminar: Philip Roe\, Emeritus Professor\, Aerospace Engineering U-M
DESCRIPTION:Zoom link \nBio:  Philip Roe is an Emeritus Professor of Aerospace Engineering at the University of Michigan. He is recognized for his pioneering work in the field of Computational Fluid Dynamics and Magnetohydrodynamics. Roe made many fundamental contributions to the development of high-resolution schemes for hyperbolic conservation laws. He is best known for his work on the flux difference splitting for compressible flows with shocks\, typically referred to as the Roe scheme. \nMusings of a Computational Philosopher\nPhilosophy sets a great story by asking the right questions. Indeed a correct answer to the wrong question is seldom of any value. You can even obtain tenure\, I am told\, by asking questions that you cannot yet answer. For the past decade\, I have been trying to ask the right questions about computing compressible flow\, and I hope here to provide a glimpse of the answers. \nA “good” algorithm should “obviously” be accurate\, cheap\, and robust. Of these three desiderata\, I will try here to clarify the notion of accuracy. Although clearly a good thing\, it is almost always defined asymptotically in terms of the behavior at small mesh size or low frequency. This sets precise goals for analysis\, and although accuracy can be achieved in this sense\, in practice we often cannot afford the asymptotic regime. Moreover\, when we deal with compressible flow\, we are forced to deal with high frequencies. We require in fact only rather modest accuracy at low frequency\, but must extend this into the high frequency regime\, and doing this will require answering different questions. I will discuss a double-pronged approach to finding these questions and their answers. \nThis approach demands that the information flow in the computer should closely match that in real life. A great advance toward this was made by introducing Godunov-type methods\, but these merely distinguish left from right\, and their reliance on one-dimensional physics has many drawbacks. However\, for many kinds of problem there are integral solutions to the linear initial-value problem in multiple dimensions. My first prong is to show how these can be used to derive algorithms for linear and nonlinear problems for compressible fluid flow and other applications. These algorithms have remarkable properties\, including true incompressible limits and automatic boundary conditions. The information flow is different for advective and non-advective modes of the solution. \nAs a second way to achieve correct information flow\, I employ solution derivatives as degrees of freedom. This Hermitian representation is common in computer graphics and signal processing but almost unknown in CFD. Its great benefit consists of keeping the stencil compact. This brings about sharp discontinuities\, extends the spectrum and reduces communication overheads. Recently\, with my graduate student Iman Samani\, I have used both prongs of my approach to produce fifth-order solutions for linear elastodynamics on unstructured grids with automatic handling of material interfaces and remote boundaries. I will present these results\, summarize what remains to be done and describe some target applications.
URL:https://micde.umich.edu/event/micde-faculty-seminar-philip-roe-emeritus-professor-aerospace-engineering-u-m/
LOCATION:1109 FXB\, 1320 Beal Ave.\, Ann Arbor\, MI\, United States
CATEGORIES:Aerospace Engineering,Micde Seminar,MICDE Seminar Series,Michigan Engineering
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DTSTART;TZID=America/Detroit:20231002T160000
DTEND;TZID=America/Detroit:20231002T170000
DTSTAMP:20231013T144409Z
CREATED:20230913T145953Z
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SUMMARY:MICDE / ME Seminar:  Olivier Desjardins\, Professor of Mechanical and Aerospace Engineering at Cornell University
DESCRIPTION:Bio: Olivier Desjardins is a Professor at the Sibley School of Mechanical and Aerospace Engineering at Cornell University. He joined the Cornell MAE faculty in July 2011. Prior to that\, he was on the Mechanical Engineering faculty at the University of Colorado at Boulder. He received a Master of Science in Aeronautics and Astronautics from ENSAE (Supaero) in Toulouse\, France\, in 2004. The same year\, he received a Master of Science in Mechanical Engineering from Stanford University\, then in 2008 he obtained a Ph.D. in Mechanical Engineering from Stanford University. He received an NSF CAREER award in 2014 to work on turbulence modeling around liquid-gas interfaces\, and he was presented with the Junior Award from the International Conference on Multiphase Flow in 2016. \nResearch Interests: Prof. Desjardins’ research focuses on large-scale numerical modeling of turbulent reacting multiphase flows with industrial application. Using world-class parallel computers\, his group develops numerical methods and models to investigate the multi-scale and multi-physics fluid mechanics problems that arise in a range of engineering devices\, such as combustors or biomass reactors. \nHigh-fidelity computational techniques such as large-eddy simulations and direct numerical simulations are at the heart of Dr. Desjardins’ research. By enabling the exploration of complex non-linear flow physics from first principles\, these techniques have the potential to guide the development of highly optimized energy and propulsion systems. \nMulti-scale modeling of topology change in multiphase flow simulations\nLiquid atomization and spray formation are ubiquitous processes in nature as well as engineered system. Predicting droplet size distributions from first principle simulations presents a fantastic challenge due to the wide range of scales involved in topology change. In this talk\, we present new developments to the geometric volume of fluid method that enable the tracking of sub-grid scale interfacial features. By reconstructing the interface with multiple planar surfaces or with paraboloid surfaces\, we show that ligaments and sheets can be represented accurately independently of mesh resolution while preserving exact conservation\, good computational efficiency\, and easy integration with finite-volume-based flow solvers. A consequence of such strategies is that lack of mesh resolution no longer induces topology change\, which then needs to be reintroduced explicitly using physics-based models. We discuss various flavors of such models in the context of the break-up of thin liquid films\, a common feature in aerodynamic liquid atomization. \n  \n\n  \nThe MICDE Fall 2023 Seminar Series is open to all. University of Michigan faculty and students interested in predicting and explaining the properties of materials using computer simulation are encouraged to attend. \nThis seminar is cohosted by the Michigan Institute for Computational Discovery & Engineering (MICDE) and the Department of Mechanical Engineering (ME). Prof. Desjardins will be hosted by Dr. Jesse Capecelatro\, Associate Professor of Mechanical and Aerospace Engineering. \nThis is an in-person event. \nGraduate Certificate in Computational Discovery and Engineering\, and MICDE fellows\, please use this form to record your attendance. \nQuestions? Email MICDE-events@umich.edu
URL:https://micde.umich.edu/event/workshop-seminarmicde-me-seminar-olivier-desjardins/
LOCATION:1109 FXB\, 1320 Beal Ave.\, Ann Arbor\, MI\, United States
CATEGORIES:Aerospace Engineering,College Of Engineering,Mechanical Engineering,Micde Seminar,MICDE Seminar Series
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DTSTART;TZID=America/Detroit:20171205T150000
DTEND;TZID=America/Detroit:20171205T160000
DTSTAMP:20230905T171416Z
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SUMMARY:MICDE Seminar: Tarek Zohdi\, Department of Mechanical Engineering\, University of California\, Berkeley
DESCRIPTION:Bio: Tarek I. Zohdi received his Ph.D. in 1997 in Computational and Applied Mathematics from the University of Texas at Austin and his Habilitation in General Mechanics from the Gottfried Leibniz University of Hannover in 2002. He is currently a Chancellor’s Professor of Mechanical Engineering\, Chair of the Computational and Data Science and Engineering Program at UC Berkeley and holder of the W. C. Hall Family Endowed Chair in Engineering. He also holds a Staff Scientist position at Lawrence Berkeley National Labs. His main research interests are in computational approaches for advanced manufacturing and nonconvex multiscale-multiphysics inverse problems\, in particular addressing the issue of how large numbers of micro-constituents interact to produce macroscale aggregate material behavior. He has published over 145 archival refereed journal papers and five books. In 2000\, he received the Zienkiewicz Prize and Medal\, which are awarded once every two years\, to one post-graduate researcher under the age of 35\, by The Institution of Civil Engineers in London\, to commemorate the work of Professor O. C. Zienkiewicz\, for research which contributes most to the field of numerical methods in engineering. In 2002\, he received the Best Paper of the Year 2001 Award in London\, at the Lord’s Cricket Grounds\, for a paper published in Engineering Computations\, pertaining to modeling and simulation of the propagation of failure in particulate aggregates of material. In 2003\, he received the Junior Achievement Award of the American Academy of Mechanics. The award is given once a year\, to one post-graduate researcher\, to recognize outstanding research during the first decade of a professional career. In 2008\, he was elected Fellow of the International Association for Computational Mechanics (IACM) and in 2009 he was elected Fellow of the United Stated Association for Computational Mechanics (USACM). He was elected President of the USACM in 2012\, and served from 2012 to 2014. He is an editor of Computational Mechanics\, Editor in Chief of Computational Particle Mechanics and serves on 12 editorial boards of international journals. For more information visit http://www.me.berkeley.edu/people/faculty/tarek-i-zohdi \nModeling and Simulation of Multistage Multiphysical Processes in Next-Generation Advanced Manufacturing and 3D Printing with New Multifunctional Materials\nWithin the last decade\, several industrialized countries have stressed the importance of advanced manufacturing to their economies. Many of these plans have highlighted the development of additive manufacturing techniques\, such as 3D printing\, which are still in their infancy. The objective is to develop superior products\, produced at lower overall operational costs. For these   goals to be realized\, a deep understanding of the essential ingredients comprising the materials involved in additive manufacturing is needed. The combination of rigorous material modeling theories\, coupled with the dramatic increase of computational power can potentially play a significant role in the analysis\, control\, and design of many emerging additive manufacturing processes. Specialized materials and the precise   design of their properties are key factors in the processes. Specifically\, particle-functionalized materials play a central role in this field\, in three main ways:   (1) to endow filament-based materials by adding particles to a heated binder   (2) to “functionalize” inks by adding particles to freely flowing solvents and (3) to directly deposit particles\, as dry powders\, onto surfaces and then to heat them with a laser\, e-beam or other external source\, in order to fuse them into place. The goal of these processes is primarily to build surface structures\, coatings\, etc.\, which are extremely difficult to construct using classical manufacturing methods. The objective of this presentation is to introduce the audience to basic techniques which can allow them to rapidly develop and analyze particulate-based materials needed in new additive manufacturing processes. This presentation is broken into two main parts: continuum and discrete element approaches. The materials associated with methods (1) and (2) are closely related types of continua (particles embedded in a continuous binder) and are treated using continuum approaches. The materials in method (3)\, which are of a discrete particulate character\, are analyzed using discrete element methods. \nProf. Zohdi is being hosted by Prof. Garikipati (Mechanical Engineering). If you would like to meet with him please email mcteja@umich.edu
URL:https://micde.umich.edu/event/micde-seminar-tarek-zohdi-department-of-mechanical-engineering-university-of-california-berkeley/
LOCATION:1109 FXB\, 1320 Beal Ave.\, Ann Arbor\, MI\, United States
CATEGORIES:Featured Events,MICDE Seminar Series
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