MSE Program Overview. Karthik Duraisamy Peretz Friedmann Anouck Girard Ilya Kolmanovsky. Fall 2018

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1 MSE Program Overview Karthik Duraisamy Peretz Friedmann Anouck Girard Ilya Kolmanovsky Fall 2018

2 Basic Academic Structure The Aero Department is subdivided into three Groups: Flight Dynamics and Controls (FDC) Gas Dynamics (GD) Structures and Materials (SM) Research activities and projects are not limited to these areas Several multidisciplinary activities Cut across different groups Graduate Program is built around individual needs/interests Graduate students put together a course work plan

3 MSE Program Requirements Minimum of 30 credit hours At least 5 courses in aerospace engineering at 500-level or higher B or better grade in required courses Up to 6 credits (two courses) of AE590 Directed Study AE585 Aerospace Seminar (1 credit) expected at least once Two approved mathematics courses

4 Overview of Expected Academic Performance Full time student: 9 credit hours per semester Pay attention to your academic performance Consider research activity through AE 590 Directed Studies

5 Academic Advising You all have been assigned to an Academic Adviser (AA) The AA can help you with your course selection. However You are responsible for defining your program of study If you want to change advisers, please contact Denise Phelps The Grad Committee members are here to help: Prof. Karthik Duraisamy Gas Dynamics Prof. Ilya Kolmanovsky Flight Dynamics & Control Prof. Peretz Friedmann Structures & Materials

6 This is an exciting time! There are a lot of things to do and to learn much more than you can fit in your schedule. Enjoy it!

7 Flight Dynamics and Control Department of Aerospace Engineering The University of Michigan

8 Dynamics and Control Faculty Ella Atkins Dennis Bernstein James Cutler Anouck Girard Alex Gorodetsky Jean-Baptiste Jeannin Ilya Kolmanovsky Dimitra Panagou

9 Dynamics and Control Faculty Ella Atkins, PhD University of Michigan Autonomy research in aviation Augmenting onboard decision systems and supporting closer astronaut-robot collaboration Use models and algorithms from the control systems and computer science communities to best solve key Aerospace challenges Dennis S. Bernstein, PhD University of Michigan Theory and application of nonlinear system identification Large-scale state estimation for data assimilation, and adaptive control

10 Dynamics and Control Faculty continued James W. Cutler, PhD Stanford Space systems Communication Robust computing infrastructure Remote sensing (emphasis on magnetometers) Anouck Girard, PhD UC Berkeley Nonlinear systems Hybrid systems Embedded systems Cooperative control and unmanned vehicles

11 Dynamics and Control Faculty continued Dimitra Panagou, PhD National Technical University of Athens, Greece Nonlinear systems, multi-agent systems, decentralized/distributed systems, etc. Set-theoretic methods in control, motion, and path planning with applications in unmanned aerial systems Robotic networks and autonomous multi-vehicle systems Ilya Kolmanovsky, PhD University of Michigan Control of constrained systems Nonlinear control Control applications in aerospace and automotive systems Modeling and control of propulsion systems

12 Dynamics and Control Major Research Areas Autonomous air vehicles Atkins, Girard, Panagou Aerospace information systems Atkins Adaptive control for aerospace applications Bernstein Spacecraft dynamics, control, and systems engineering Bernstein, Cutler, Kolmanovsky Control of propulsion systems Kolmanovsky

13 Flight Dynamics and Controls Courses Curriculum can be tailored to student s interests Color Coding: FALL WINTER TBD AE 540 Intermediate Dynamics AE 550 Linear Systems AE 552 Aerospace Information Systems AE 548 Astrodynamics AE 551 Nonlinear Systems and Control AE 573 Spacecraft Dynamics and Control AE 575 Flight and Trajectory Optimization AE 584 Avionics, Navigation and Guidance of Aerospace Vehicles Other Aero Courses AE 566 Data Analysis and System Identification AE 580 Linear Feedback Control Systems AE 740 Nonlinear and Predictive Control AE 579 Control of Structures and Fluids AE 572 Dynamics and Control of Aircraft Courses Outside Aero MATH 658 Nonlinear Dynamics, Geometric Mechanics and Control, EECS 461 Embedded Control, EECS 501 Probability and Random Processes, EECS 558 Stochastic Control, EECS 600 Function Space Methods in Systems Theory, EECS 566 Discrete Event Systems, EECS 662 Advanced Nonlinear Control, NA 531 Adaptive Control, ROB 501 Math for Robotics, ROB 550 Robotic Sys Lab, ME 558 Applied Nonlinear Dynamics, ME 561 Design of Digital Control Systems

14 U-M Controls Group College of Engineering Controls Group aero.engin.umich.edu/research/areas/controls/ College of Engineering Control Seminar Series Time: 3:30 4:30 PM Day: Fridays Place: 1500 EECS Bldg

15 Gas Dynamics Department of Aerospace Engineering The University of Michigan

16 Gas Dynamics Faculty Iain Boyd Luis Bernal Iain Boyd Jim Driscoll Karthik Duraisamy Chris Fidkowski Ben Jorns Alec Gallimore Mirko Gamba Ken Powell Venkat Raman Phil Roe

17 Gas Dynamics Faculty Luis Bernal, PhD California Institute of Technology Fluid mechanics Aerodynamics Turbulent shear flow Whole field flow measurement Microgravity fluid physics Benjamin Jorns, PhD Princeton University Wear mechanisms and stability in electric propulsion systems Turbulence and nonlinear processes in low temperature plasmas Plasma diagnostics Investigating breakthrough forms of in-space propulsion

18 Gas Dynamics Faculty continued James Driscoll, PhD Princeton University Supersonic combustion within scramjet experiments Rocket combustion (H2-O2) for NASA's Project Constellation Center at Michigan Fundamental studies of turbulent combustion Nitric oxide formation in general electric TAPS jet engine combustors Mirko Gamba, PhD University of Texas at Austin Scalar imaging and velocity measurements in turbulent reacting flows Subsonic and supersonic mixing and combustion Laser diagnostics for fluid flows (reacting and nonreacting)

19 Gas Dynamics Faculty continued Krzysztof Fidkowski, PhD Massachusetts Institute of Technology Robust algorithms for computational fluid dynamics Geometry management and mesh generation Parallel computation Large-scale model reduction Output-based error estimation Design under uncertainty Kenneth Powell, PhD Massachusetts Institute of Technology Computational fluid dynamics Aerodynamics and compressible flow Numerical methods for plasmas Computational space physics

20 Gas Dynamics Faculty continued Karthik Duraisamy, PhD University of Maryland, College Park Data-driven modeling and uncertainty quantification Turbulence modeling and simulation Reduced order modeling Applied CFD, M Numerical methods Venkat Raman, PhD Iowa State University Computational models for turbulent reacting flows with application to aircraft and scramjet engines, stationary power generation, and synthesis of novel materials High performance computing and detailed numerical simulations to study the performance of combustion devices Numerical error analysis, uncertainty quantification, and failure predictions, aimed towards modeling catastrophic and rare events in complex devices and natural systems

21 Gas Dynamics Faculty continued Philip Roe, PhD Cambridge University (United Kingdom) Computational fluid dynamics Magnetohydrodynamics Electromagnetics Iain Boyd, PhD Southampton Hypersonic aerothermodynamics Electric propulsion Rocket plumes Nonequilibrium gas and plasma dynamics Iain Boyd

22 Major Research Areas Fluid Dynamics/Aerodynamics Bernal, Fidkowski, Gamba, Duraisamy Combustion/Chemical Propulsion Driscoll, Gamba, Raman Computational Fluid Dynamics Boyd, Fidkowski, Duraisamy, Powell, Roe, Raman Electric Propulsion/Plasmas Boyd, Gallimore, Powell Hypersonics Boyd, Driscoll, Gamba, Roe

23 Gas Dynamics Courses Curriculum can be tailored to student s interests COLOR CODING: FALL WINTER TBD Aero 524 Aerodynamics II Aero 520 Compressible Flow I Aero 526 Hypersonics Aero 522 Viscous Flow Aero 527 Unsteady Aero and Acoustics Aero 532 Molecular Gas Dynamics Aero 530 Gas Turbine Propulsion Aero 523 CFD I Aero 535 Rocket Propulsion Aero 525 Turbulent Flow I Aero 536 Electric Propulsion Aero 533 Combustion I Aero 627 Advanced Gasdynamics NERS 571 Intermediate Plasma Physics I Aero 623 Advanced CFD Aero 579 Fluid/Structure Control Aero 625 Advanced Turbulent Flow Aero 521 Experimental Methods Aero 597 Space Plasma Physics Aero 544 Aeroelasticity (S&M) Aero 633 Advanced Combustion Aero 545 Aeromechanics of Rotary Wing Vehicles (S&M) Aero 729 Data-driven Modeling for Sci. Comp. Aero 729 Large Eddy Simulations Aero 729 Automotive Aerodynamics

24 Structures and Materials Department of Aerospace Engineering The University of Michigan

25 Structural and Materials Faculty Dan Inman Carlos Cesnik Peretz Friedmann Nakhiah Goulbourne Joaquim Martins John Shaw Henry Sodano Veera Sundararaghavan Peter Washabaugh

26 Structural and Materials Faculty Daniel Inman, PhD Michigan State University Smart materials and structures as applied to morphing aircraft, energy harvesting, structural health monitoring and clearance control in jet engines Gust alleviation in UAVs Cable harnessed satellites Wind turbine blade monitoring Carlos Cesnik, PhD Georgia Institute of Technology Active aeroelastic structures Computational aeroelasticity Structural health monitoring: guided-wave modeling, transducer design, signal processing

27 Structures and Materials Faculty continued Peretz Friedmann, DSc Massachusetts Institute of Technology Rotary and fixed wing computational aeroelasticity Vibration and noise reduction in helicopters Hypersonic vehicle aerothermoelasticity Multidisciplinary optimization Turbomachinery aeroelasticity Nakhiah Goulbourne, PhD Pennsylvania State University Mechanics of electroactive polymers Constitutive behavior of soft materials Bio-inspired skins and membranes High strain rate response of polymers and composites

28 Structures and Materials Faculty continued Joaquim Martins, PhD Stanford University MDO methodologies to the design of aircraft configurations Focus on high-fidelity simulations that take advantage of high-performance parallel computing John Shaw, PhD University of Texas at Austin Mechanics of adaptive materials and structures Instabilities and thermomechanical behavior of solids and experimental mechanics

29 Structures and Materials Faculty continued Henry Sodano, PhD Virginia Tech Composites, multifunctional material, and self-healing polymers Nanocomposites and nanotechnology Interfaces and MEMS/NEMS sensors Energy harvesting Vibration Control Veera Sundararaghavan, PhD Cornell University Integrated computational materials engineering Materials-by-design and materials informatics Computational mechanics and atomistic simulations Crystal plasticity

30 Structures and Materials Faculty continued Peter Washabaugh, PhD California Institute of Technology Experimental solid mechanics Fracture mechanics Instrumentation Non-destructive testing Optimization

31 Major Research Areas Fixed and Rotary Wing Aeroelasticity, Aeromechanics Cesnik, Friedmann, Martins Smart Materials and Structures Goulbourne, Inman, Shaw Composite Materials Cesnik, Sodano Multidisciplinary Design Optimization Friedmann, Martins

32 Structures and Materials Courses Curriculum can be tailored to student s interests AE 513 Solids and Structures I AE 518 Elastic Stability AE 543 Structural Dynamics AE 510 Finite Elements I AE 514 Solids and Structures II AE 516 Composite Structures AE 544 Aeroelasticity AE 545 Aeromechanics of Rotary Wing Vehicles Other Aero Courses AE 511 Finite Elements II AE 523 CFD I (GD) AE 540 Intermediate Dynamics AE 579 Control of Fluids and Structures AE 618 Advanced Stability AE 714 Atomistic Modeling AE 588 Multidisciplinary Design Optimization AE 714 Multifunctional Materials and Structures Courses Outside Aero ME 512 Theory of Elasticity, ME 516 Thin Films and Fracture, ME 517 Mechanics of Polymers, ME 519 Plastic Theory

33 Questions & Answers aero.engin.umich.edu/academics/graduate/mse/

34 Thank you for attending the Aerospace Engineering Graduate Orientation! As you exit, feel free to grab a snack and bottled water in the atrium. Plus, stop by the check-in table to pick up a welcome gift from us. Don t Forget Orientation at Rackham Graduate School begins at 1:00 PM today!

35 Thank you. aero.engin.umich.edu