# Search result: Catalogue data in Autumn Semester 2020

Mechanical Engineering Master | ||||||

Core Courses | ||||||

Energy, Flows and Processes The courses listed in this category “Core Courses” are recommended. Alternative courses can be chosen in agreement with the tutor. | ||||||

Number | Title | Type | ECTS | Hours | Lecturers | |
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151-0105-00L | Quantitative Flow Visualization | W | 4 credits | 3G | T. Rösgen | |

Abstract | The course provides an introduction to digital image analysis in modern flow diagnostics. Different techniques which are discussed include image velocimetry, laser induced fluorescence, liquid crystal thermography and interferometry. The physical foundations and measurement configurations are explained. Image analysis algorithms are presented in detail and programmed during the exercises. | |||||

Objective | Introduction to modern imaging techniques and post processing algorithms with special emphasis on flow analysis and visualization. Understanding of hardware and software requirements and solutions. Development of basic programming skills for (generic) imaging applications. | |||||

Content | Fundamentals of optics, flow visualization and electronic image acquisition. Frequently used mage processing techniques (filtering, correlation processing, FFTs, color space transforms). Image Velocimetry (tracking, pattern matching, Doppler imaging). Surface pressure and temperature measurements (fluorescent paints, liquid crystal imaging, infrared thermography). Laser induced fluorescence. (Digital) Schlieren techniques, phase contrast imaging, interferometry, phase unwrapping. Wall shear and heat transfer measurements. Pattern recognition and feature extraction, proper orthogonal decomposition. | |||||

Lecture notes | Handouts will be made available. | |||||

Prerequisites / Notice | Prerequisites: Fluiddynamics I, Numerical Mathematics, programming skills. Language: German on request. | |||||

151-0107-20L | High Performance Computing for Science and Engineering (HPCSE) I | W | 4 credits | 4G | P. Koumoutsakos, S. M. Martin | |

Abstract | This course gives an introduction into algorithms and numerical methods for parallel computing on shared and distributed memory architectures. The algorithms and methods are supported with problems that appear frequently in science and engineering. | |||||

Objective | With manufacturing processes reaching its limits in terms of transistor density on today’s computing architectures, efficient utilization of computing resources must include parallel execution to maintain scaling. The use of computers in academia, industry and society is a fundamental tool for problem solving today while the “think parallel” mind-set of developers is still lagging behind. The aim of the course is to introduce the student to the fundamentals of parallel programming using shared and distributed memory programming models. The goal is on learning to apply these techniques with the help of examples frequently found in science and engineering and to deploy them on large scale high performance computing (HPC) architectures. | |||||

Content | 1. Hardware and Architecture: Moore’s Law, Instruction set architectures (MIPS, RISC, CISC), Instruction pipelines, Caches, Flynn’s taxonomy, Vector instructions (for Intel x86) 2. Shared memory parallelism: Threads, Memory models, Cache coherency, Mutual exclusion, Uniform and Non-Uniform memory access, Open Multi-Processing (OpenMP) 3. Distributed memory parallelism: Message Passing Interface (MPI), Point-to-Point and collective communication, Blocking and non-blocking methods, Parallel file I/O, Hybrid programming models 4. Performance and parallel efficiency analysis: Performance analysis of algorithms, Roofline model, Amdahl’s Law, Strong and weak scaling analysis 5. Applications: HPC Math libraries, Linear Algebra and matrix/vector operations, Singular value decomposition, Neural Networks and linear autoencoders, Solving partial differential equations (PDEs) using grid-based and particle methods | |||||

Lecture notes | Link Class notes, handouts | |||||

Literature | • An Introduction to Parallel Programming, P. Pacheco, Morgan Kaufmann • Introduction to High Performance Computing for Scientists and Engineers, G. Hager and G. Wellein, CRC Press • Computer Organization and Design, D.H. Patterson and J.L. Hennessy, Morgan Kaufmann • Vortex Methods, G.H. Cottet and P. Koumoutsakos, Cambridge University Press • Lecture notes | |||||

Prerequisites / Notice | Students should be familiar with a compiled programming language (C, C++ or Fortran). Exercises and exams will be designed using C++. The course will not teach basics of programming. Some familiarity using the command line is assumed. Students should also have a basic understanding of diffusion and advection processes, as well as their underlying partial differential equations. | |||||

151-0109-00L | Turbulent Flows | W | 4 credits | 2V + 1U | P. Jenny | |

Abstract | Contents - Laminar and turbulent flows, instability and origin of turbulence - Statistical description: averaging, turbulent energy, dissipation, closure problem - Scalings. Homogeneous isotropic turbulence, correlations, Fourier representation, energy spectrum - Free turbulence: wake, jet, mixing layer - Wall turbulence: Channel and boundary layer - Computation and modelling of turbulent flows | |||||

Objective | Basic physical phenomena of turbulent flows, quantitative and statistical description, basic and averaged equations, principles of turbulent flow computation and elements of turbulence modelling | |||||

Content | - Properties of laminar, transitional and turbulent flows. - Origin and control of turbulence. Instability and transition. - Statistical description, averaging, equations for mean and fluctuating quantities, closure problem. - Scalings, homogeneous isotropic turbulence, energy spectrum. - Turbulent free shear flows. Jet, wake, mixing layer. - Wall-bounded turbulent flows. - Turbulent flow computation and modeling. | |||||

Lecture notes | Lecture notes are available | |||||

Literature | S.B. Pope, Turbulent Flows, Cambridge University Press, 2000 | |||||

151-0125-00L | Hydrodynamics and Cavitation | W | 4 credits | 3G | O. Supponen | |

Abstract | This course builds on the foundations of fluid dynamics to describe hydrodynamic flows, with a focus on interfacial and surface tension effects, lubrication and surface waves, and provides an introduction to cavitation: theory, measurement techniques, and industrial and medical applications. | |||||

Objective | The main learning objectives of this course are: 1. Identify and describe dominant effects in liquid fluid flows through physical modelling. 2. Explain tension, nucleation and phase-change in liquids. 3. Describe hydrodynamic cavitation and its consequences in physical terms. 4. Recognise experimental techniques and industrial and medical applications for cavitation. | |||||

Content | The course gives an overview on the following topics: hydrostatics, surface tension effects and capillarity, lubrication theory, surface waves, water hammer, tension in liquids, phase change. Cavitation: single bubbles (nucleation, dynamics, collapse), cavitating flows (attached, cloud, vortex cavitation). Industrial and medical applications, and measurement techniques. | |||||

Lecture notes | Class notes and handouts | |||||

Literature | Literature will be provided in the course material. | |||||

Prerequisites / Notice | Fluid dynamics I & II or equivalent | |||||

151-0163-00L | Nuclear Energy Conversion | W | 4 credits | 2V + 1U | H.‑M. Prasser | |

Abstract | Phyiscal fundamentals of the fission reaction and the sustainable chain reaction, thermal design, construction, function and operation of nuclear reactors and power plants, light water reactors and other reactor types, converion and breeding | |||||

Objective | Students get an overview on energy conversion in nuclear power plants, on construction and function of the most important types of nuclear reactors with special emphasis to light water reactors. They obtain the mathematical/physical basis for quantitative assessments concerning most relevant aspects of design, dynamic behaviour as well as material and energy flows. | |||||

Content | Nuclear physics of fission and chain reaction. Themodynamics of nuclear reactors. Design of the rector core. Introduction into the dynamic behaviour of nuclear reactors. Overview on types of nuclear reactors, difference between thermal reactors and fast breaders. Construction and operation of nuclear power plants with pressurized and boiling water reactors, role and function of the most important safety systems, special features of the energy conversion. Development tendencies of rector technology. | |||||

Lecture notes | Hand-outs will be distributed. Additional literature and information on the website of the lab: Link | |||||

Literature | S. Glasston & A. Sesonke: Nuclear Reactor Engineering, Reactor System Engineering, Ed. 4, Vol. 2., Springer-Science+Business Media, B.V. R. L. Murray: Nuclear Energy (Sixth Edition), An Introduction to the Concepts, Systems, and Applications of Nuclear Processes, Elsevier | |||||

151-0182-00L | Fundamentals of CFD Methods | W | 4 credits | 3G | A. Haselbacher | |

Abstract | This course is focused on providing students with the knowledge and understanding required to develop simple computational fluid dynamics (CFD) codes to solve the incompressible Navier-Stokes equations and to critically assess the results produced by CFD codes. As part of the course, students will write their own code and verify and validate it systematically. | |||||

Objective | 1. Students know and understand basic numerical methods used in CFD in terms of accuracy and stability. 2. Students have a basic understanding of a typical simple CFD code. 3. Students understand how to assess the numerical and physical accuracy of CFD results. | |||||

Content | 1. Governing and model equations. Brief review of equations and properties 2. Overview of basic concepts: Overview of discretization process and its consequences 3. Overview of numerical methods: Finite-difference and finite-volume methods 4. Analysis of spatially discrete equations: Consistency, accuracy, stability, convergence of semi-discrete methods 5. Time-integration methods: LMS and RK methods, consistency, accuracy, stability, convergence 6. Analysis of fully discrete equations: Consistency, accuracy, stability, convergence of fully discrete methods 7. Solution of one-dimensional advection equation: Motivation for and consequences of upwinding, Godunov's theorem, TVD methods, DRP methods 8. Solution of two-dimensional advection equation: Dimension-by-dimension methods, dimensional splitting, multidimensional methods 9. Solution of one- and two-dimensional diffusion equations: Implicit methods, ADI methods 10. Solution of one-dimensional advection-diffusion equation: Numerical vs physical viscosity, boundary layers, non-uniform grids 11. Solution of incompressible Navier-Stokes equations: Incompressibility constraint and consequences, fractional-step and pressure-correction methods 12. Solution of incompressible Navier-Stokes equations on unstructured grids | |||||

Lecture notes | The course is based mostly on notes developed by the instructor. | |||||

Literature | Literature: There is no required textbook. Suggested references are: 1. H.K. Versteeg and W. Malalasekera, An Introduction to Computational Fluid Dynamics, 2nd ed., Pearson Prentice Hall, 2007 2. R.H. Pletcher, J.C. Tannehill, and D. Anderson, Computational Fluid Mechanics and Heat Transfer, 3rd ed., Taylor & Francis, 2011 | |||||

Prerequisites / Notice | Prior knowledge of fluid dynamics, applied mathematics, basic numerical methods, and programming in Fortran and/or C++ (knowledge of MATLAB is *not* sufficient). | |||||

151-0185-00L | Radiation Heat Transfer | W | 4 credits | 2V + 1U | A. Steinfeld, P. Pozivil | |

Abstract | Advanced course in radiation heat transfer | |||||

Objective | Fundamentals of radiative heat transfer and its applications. Examples are combustion and solar thermal/thermochemical processes, and other applications in the field of energy conversion and material processing. | |||||

Content | 1. Introduction to thermal radiation. Definitions. Spectral and directional properties. Electromagnetic spectrum. Blackbody and gray surfaces. Absorptivity, emissivity, reflectivity. Planck's Law, Wien's Displacement Law, Kirchhoff's Law. 2. Surface radiation exchange. Diffuse and specular surfaces. Gray and selective surfaces. Configuration factors. Radiation exchange. Enclosure theory, radiosity method. Monte Carlo. 3.Absorbing, emitting and scattering media. Extinction, absorption, and scattering coefficients. Scattering phase function. Optical thickness. Equation of radiative transfer. Solution methods: discrete ordinate, zone, Monte-Carlo. 4. Applications. Cavities. Selective surfaces and media. Semi-transparent windows. Combined radiation-conduction-convection heat transfer. | |||||

Lecture notes | Copy of the slides presented. | |||||

Literature | R. Siegel, J.R. Howell, Thermal Radiation Heat Transfer, 3rd. ed., Taylor & Francis, New York, 2002. M. Modest, Radiative Heat Transfer, Academic Press, San Diego, 2003. | |||||

151-0207-00L | Theory and Modeling of Reactive Flows | W | 4 credits | 3G | C. E. Frouzakis, I. Mantzaras | |

Abstract | The course first reviews the governing equations and combustion chemistry, setting the ground for the analysis of homogeneous gas-phase mixtures, laminar diffusion and premixed flames. Catalytic combustion and its coupling with homogeneous combustion are dealt in detail, and turbulent combustion modeling approaches are presented. Available numerical codes will be used for modeling. | |||||

Objective | Theory of combustion with numerical applications | |||||

Content | The analysis of realistic reactive flow systems necessitates the use of detailed computer models that can be constructed starting from first principles i.e. thermodynamics, fluid mechanics, chemical kinetics, and heat and mass transport. In this course, the focus will be on combustion theory and modeling. The reacting flow governing equations and the combustion chemistry are firstly reviewed, setting the ground for the analysis of homogeneous gas-phase mixtures, laminar diffusion and premixed flames. Heterogeneous (catalytic) combustion, an area of increased importance in the last years, will be dealt in detail along with its coupling with homogeneous combustion. Finally, approaches for the modeling of turbulent combustion will be presented. Available numerical codes will be used to compute the above described phenomena. Familiarity with numerical methods for the solution of partial differential equations is expected. | |||||

Lecture notes | Handouts | |||||

Prerequisites / Notice | NEW course | |||||

151-0209-00L | Renewable Energy Technologies | W | 4 credits | 3G | A. Steinfeld, E. Casati, F. Dähler | |

Abstract | Renewable energy technologies: solar, biomass, wind, geothermal, hydro, waste-to-energy. Focus is on the engineering aspects. | |||||

Objective | Students learn the potential and limitations of renewable energy technologies and their contribution towards sustainable energy utilization. | |||||

Prerequisites / Notice | Prerequisite: strong background on the fundamentals of engineering thermodynamics, equivalent to the material taught in the courses Thermodynamics I, II, and III of D-MAVT. | |||||

151-0213-00L | Fluid Dynamics with the Lattice Boltzmann Method | W | 4 credits | 3G | I. Karlin | |

Abstract | The course provides an introduction to theoretical foundations and practical usage of the Lattice Boltzmann Method for fluid dynamics simulations. | |||||

Objective | Methods like molecular dynamics, DSMC, lattice Boltzmann etc are being increasingly used by engineers all over and these methods require knowledge of kinetic theory and statistical mechanics which are traditionally not taught at engineering departments. The goal of this course is to give an introduction to ideas of kinetic theory and non-equilibrium thermodynamics with a focus on developing simulation algorithms and their realizations. During the course, students will be able to develop a lattice Boltzmann code on their own. Practical issues about implementation and performance on parallel machines will be demonstrated hands on. Central element of the course is the completion of a lattice Boltzmann code (using the framework specifically designed for this course). The course will also include a review of topics of current interest in various fields of fluid dynamics, such as multiphase flows, reactive flows, microflows among others. Optionally, we offer an opportunity to complete a project of student's choice as an alternative to the oral exam. Samples of projects completed by previous students will be made available. | |||||

Content | The course builds upon three parts: I Elementary kinetic theory and lattice Boltzmann simulations introduced on simple examples. II Theoretical basis of statistical mechanics and kinetic equations. III Lattice Boltzmann method for real-world applications. The content of the course includes: 1. Background: Elements of statistical mechanics and kinetic theory: Particle's distribution function, Liouville equation, entropy, ensembles; Kinetic theory: Boltzmann equation for rarefied gas, H-theorem, hydrodynamic limit and derivation of Navier-Stokes equations, Chapman-Enskog method, Grad method, boundary conditions; mean-field interactions, Vlasov equation; Kinetic models: BGK model, generalized BGK model for mixtures, chemical reactions and other fluids. 2. Basics of the Lattice Boltzmann Method and Simulations: Minimal kinetic models: lattice Boltzmann method for single-component fluid, discretization of velocity space, time-space discretization, boundary conditions, forcing, thermal models, mixtures. 3. Hands on: Development of the basic lattice Boltzmann code and its validation on standard benchmarks (Taylor-Green vortex, lid-driven cavity flow etc). 4. Practical issues of LBM for fluid dynamics simulations: Lattice Boltzmann simulations of turbulent flows; numerical stability and accuracy. 5. Microflow: Rarefaction effects in moderately dilute gases; Boundary conditions, exact solutions to Couette and Poiseuille flows; micro-channel simulations. 6. Advanced lattice Boltzmann methods: Entropic lattice Boltzmann scheme, subgrid simulations at high Reynolds numbers; Boundary conditions for complex geometries. 7. Introduction to LB models beyond hydrodynamics: Relativistic fluid dynamics; flows with phase transitions. | |||||

Lecture notes | Lecture notes on the theoretical parts of the course will be made available. Selected original and review papers are provided for some of the lectures on advanced topics. Handouts and basic code framework for implementation of the lattice Boltzmann models will be provided. | |||||

Prerequisites / Notice | The course addresses mainly graduate students (MSc/Ph D) but BSc students can also attend. | |||||

151-0215-00L | Engineering Acoustics I | W | 4 credits | 3G | N. Noiray, B. Van Damme | |

Abstract | This course provides an introduction to acoustics. It focusses on fundamental phenomena of airborne and structure-borne sound waves. The lecture combines theoretical principles with practical insights and interpretations. | |||||

Objective | This course is proposed for Master and PhD students interested in getting knowledge in acoustics. Students will be able to understand, describe analytically and interpret sound generation, absorption and propagation. | |||||

Content | First, magnitudes characterizing sound propagation are reviewed and the constitutive equations for acoustics are derived. Then the different types of sources (monopole/dipole/quadrupole, punctual, non-compact) are introduced and linked to the noise generated by turbulent flows, coherent vortical structures or fluctuating heat release. The scattering of sound by rigid bodies is given in basic configurations. Analytical, experimental and numerical methods used to analyze sound in ducts and rooms are presented (Green functions, Galerkin expansions, Helmholtz solvers). The second part covers elastic wave phenomena, such as dispersion and vibration modes, in infinite and finite structures. | |||||

Lecture notes | Handouts will be distributed during the class | |||||

Literature | Books will be recommended for each chapter | |||||

151-0216-00L | Wind Energy | W | 4 credits | 2V + 1U | N. Chokani | |

Abstract | The objective of this course is to introduce the students to the fundamentals, technologies, modern day application, and economics of wind energy. These subjects are introduced through a discussion of the basic principles of wind energy generation and conversion, and a detailed description of the broad range of relevant technical, economic and environmental topics. | |||||

Objective | The objective of this course is to introduce the students to the fundamentals, technologies, modern day application, and economics of wind energy. | |||||

Content | This mechanical engineering course focuses on the technical aspects of wind turbines; non-technical issues are not within the scope of this technically oriented course. On completion of this course, the student shall be able to conduct the preliminary aerodynamic and structural design of the wind turbine blades. The student shall also be more aware of the broad context of drivetrains, dynamics and control, electrical systems, and meteorology, relevant to all types of wind turbines. | |||||

151-0227-00L | Basics of Air Transport (Aviation I) | W | 4 credits | 3G | P. Wild | |

Abstract | In general the course explains the main principles of air transport and elaborates on simple interdisciplinary topics. Working on broad 14 different topics like aerodynamics, manufacturers, airport operations, business aviation, business models etc. the students get a good overview in air transportation. The program is taught in English and we provide 11 different experts/lecturers. | |||||

Objective | The goal is to understand and explain basics, principles and contexts of the broader air transport industry. Further, we provide the tools for starting a career in the air transport industry. The knowledge may also be used for other modes of transport. Ideal foundation for Aviation II - Management of Air Transport. | |||||

Content | Weekly: 1h independent preparation; 2h lectures and 1 h training with an expert in the respective field Concept: This course will be tought as Aviation I. A subsequent course - Aviation II - covers the "Management of Air Transport". Content: Transport as part of the overall transportation scheme; Aerodynamics; Aircraft (A/C) Designs & Structures; A/C Operations; Aviation Law; Maintenance & Manufacturers; Airport Operations & Planning; Aviation Security; ATC & Airspace; Air Freight; General Aviation; Business Jet Operations; Business models within Airline Industry; Military Aviation. Excusions: In the past few years, we conducted two excursions for this course. Yet, under COVID the situation is to complicated so that we have to cancel both events. We may offer students to register in one of the next excursions....thank you for your understanding | |||||

Lecture notes | Preparation materials & slides are provided prior to each class | |||||

Literature | Literature will be provided by the lecturers, respectively there will be additional Information upon registration | |||||

Prerequisites / Notice | None | |||||

151-0251-00L | IC-Engines: Principles, Thermodynamic Optimization and Future Applications | W | 4 credits | 2V + 1U | K. Boulouchos, G. Georges, K. Herrmann | |

Abstract | Future Relevance of IC Engines for Transportation and Power-on-Demand. Characteristic performance parameters and operating maps. Thermodynamic cycles and energetic optimization. Heat transfer and waste heat recovery. Turbocharging methods. Hybrid powertrains and energy storage on board. Decentralized power and heat cogeneration incl. use of renewable fuels. | |||||

Objective | The students get familiar with operating characteristics and efficiency maximization methods of IC engines for propulsion and decentralized electricity ( and heat ) generation. For this purpose they learn to use advanced simulation methods and related experimental techniques for performance assessment in a combination of lectures and exercises. | |||||

Lecture notes | In English. | |||||

Literature | J. Heywood, Internal Combustion Engine Fundamentals, McGraw-Hill | |||||

151-0368-00L | Aeroelasticity | W | 4 credits | 2V + 1U | M. Righi | |

Abstract | Introduction to the basics and methods of Aeroelasticity. An overview of the main static and dynamic phenomena arising from the interaction between structural and aerodynamic loads. | |||||

Objective | The course will provide a basic physical understanding of flow-structure interaction. You will get to know the most important phenomena in the static and dynamic aeroelasticity, as well as a presentation of the most relevant analytical and numerical prediction methods. | |||||

Content | Introduction to steady and unsteady thin airfoil theory, extension to three dimension wing aerodynamics, strip theory, overview of numerical methods available (panel methods, CFD). Introduction to unsteady aerodynamics (theory): Theodorsen and Wagner functions. Unsteady aerodynamics observed from numerical experiments (CFD). Generation of simplified mathematical models. Presentation of steady aeroelasticity: equations of equilibrium for the typical section, aeroelastic deformation, effectiveness of the aeroelastic system, stability (definition), divergence condition, role played by a control surface, control effectiveness, sweep angle, aeroelastic tailoring of bending-torsion coupling. Ritz model to model beams, use of FEM, modal condensation, choice of generalized coordinates. Presentation of dynamic aeroelasticity: assessment of dynamic aeroelastic response of simple systems. Flutter kinematics (bending-twisting). Dynamic response of a simplified wing. Numerical aeroelasticity (Test Cases extracted from the latest AIAA Aeroelastic Prediction Workshops). Aeroelasticity of modern aircraft: assessment of the effects induced by the control surfaces and control systems (Aeroservoelasticity), active controlled aircraft, flutter-suppression systems, certification (EASA, FAA). Planning and execution of Wind Tunnel experiments with aeroelastic models. Live-execution of an experiment in the WT of the ETH. Brief presentation of non-linear phenomena like Limit-Cycle Oscillations (LCO) | |||||

Lecture notes | A script in English language is available. | |||||

Literature | Bispilnghoff Ashley, Aeroelasticity Abbott, Theory of Wing sections, Y. C. Fung, An Introduction to the Theory of Aeroelasticity, Dover Phoenix Editions. | |||||

151-0709-00L | Stochastic Methods for Engineers and Natural Scientists Number of participants limited to 20. | W | 4 credits | 4G | D. W. Meyer-Massetti | |

Abstract | The course provides an introduction into stochastic methods that are applicable for example for the description and modeling of turbulent and subsurface flows. Moreover, mathematical techniques are presented that are used to quantify uncertainty in various engineering applications. | |||||

Objective | By the end of the course you should be able to mathematically describe random quantities and their effect on physical systems. Moreover, you should be able to develop basic stochastic models of such systems. | |||||

Content | - Probability theory, single and multiple random variables, mappings of random variables - Estimation of statistical moments and probability densities based on data - Stochastic differential equations, Ito calculus, PDF evolution equations - Polynomial chaos and other expansion methods All topics are illustrated with engineering applications. | |||||

Lecture notes | Detailed lecture notes will be provided. | |||||

Literature | Some textbooks related to the material covered in the course: Stochastic Methods: A Handbook for the Natural and Social Sciences, Crispin Gardiner, Springer, 2010 The Fokker-Planck Equation: Methods of Solutions and Applications, Hannes Risken, Springer, 1996 Turbulent Flows, S.B. Pope, Cambridge University Press, 2000 Spectral Methods for Uncertainty Quantification, O.P. Le Maitre and O.M. Knio, Springer, 2010 | |||||

151-0851-00L | Robot Dynamics | W | 4 credits | 2V + 2U | M. Hutter, R. Siegwart | |

Abstract | We will provide an overview on how to kinematically and dynamically model typical robotic systems such as robot arms, legged robots, rotary wing systems, or fixed wing. | |||||

Objective | The primary objective of this course is that the student deepens an applied understanding of how to model the most common robotic systems. The student receives a solid background in kinematics, dynamics, and rotations of multi-body systems. On the basis of state of the art applications, he/she will learn all necessary tools to work in the field of design or control of robotic systems. | |||||

Content | The course consists of three parts: First, we will refresh and deepen the student's knowledge in kinematics, dynamics, and rotations of multi-body systems. In this context, the learning material will build upon the courses for mechanics and dynamics available at ETH, with the particular focus on their application to robotic systems. The goal is to foster the conceptual understanding of similarities and differences among the various types of robots. In the second part, we will apply the learned material to classical robotic arms as well as legged systems and discuss kinematic constraints and interaction forces. In the third part, focus is put on modeling fixed wing aircraft, along with related design and control concepts. In this context, we also touch aerodynamics and flight mechanics to an extent typically required in robotics. The last part finally covers different helicopter types, with a focus on quadrotors and the coaxial configuration which we see today in many UAV applications. Case studies on all main topics provide the link to real applications and to the state of the art in robotics. | |||||

Prerequisites / Notice | The contents of the following ETH Bachelor lectures or equivalent are assumed to be known: Mechanics and Dynamics, Control, Basics in Fluid Dynamics. | |||||

151-0911-00L | Introduction to Plasmonics | W | 4 credits | 2V + 1U | D. J. Norris | |

Abstract | This course provides fundamental knowledge of surface plasmon polaritons and discusses their applications in plasmonics. | |||||

Objective | Electromagnetic oscillations known as surface plasmon polaritons have many unique properties that are useful across a broad set of applications in biology, chemistry, physics, and optics. The field of plasmonics has arisen to understand the behavior of surface plasmon polaritons and to develop applications in areas such as catalysis, imaging, photovoltaics, and sensing. In particular, metallic nanoparticles and patterned metallic interfaces have been developed to utilize plasmonic resonances. The aim of this course is to provide the basic knowledge to understand and apply the principles of plasmonics. The course will strive to be approachable to students from a diverse set of science and engineering backgrounds. | |||||

Content | Fundamentals of Plasmonics - Basic electromagnetic theory - Optical properties of metals - Surface plasmon polaritons on surfaces - Surface plasmon polariton propagation - Localized surface plasmons Applications of Plasmonics - Waveguides - Extraordinary optical transmission - Enhanced spectroscopy - Sensing - Metamaterials | |||||

Lecture notes | Class notes and handouts | |||||

Literature | S. A. Maier, Plasmonics: Fundamentals and Applications, 2007, Springer | |||||

Prerequisites / Notice | Physics I, Physics II | |||||

151-0917-00L | Mass Transfer | W | 4 credits | 2V + 2U | S. E. Pratsinis, A. Güntner, V. Mavrantzas | |

Abstract | This course presents the fundamentals of transport phenomena with emphasis on mass transfer. The physical significance of basic principles is elucidated and quantitatively described. Furthermore the application of these principles to important engineering problems is demonstrated. | |||||

Objective | This course presents the fundamentals of transport phenomena with emphasis on mass transfer. The physical significance of basic principles is elucidated and quantitatively described. Furthermore the application of these principles to important engineering problems is demonstrated. | |||||

Content | Fick's laws; application and significance of mass transfer; comparison of Fick's laws with Newton's and Fourier's laws; derivation of Fick's 2nd law; diffusion in dilute and concentrated solutions; rotating disk; dispersion; diffusion coefficients, viscosity and heat conduction (Pr and Sc numbers); Brownian motion; Stokes-Einstein equation; mass transfer coefficients (Nu and Sh numbers); mass transfer across interfaces; Analogies for mass-, heat-, and momentum transfer in turbulent flows; film-, penetration-, and surface renewal theories; simultaneous mass, heat and momentum transfer (boundary layers); homogeneous and heterogeneous reversible and irreversible reactions; diffusion-controlled reactions; mass transfer and first order heterogeneous reaction. Applications. | |||||

Literature | Cussler, E.L.: "Diffusion", 3nd edition, Cambridge University Press, 2009. | |||||

Prerequisites / Notice | Students attending this highly-demanding course are expected to allocate sufficient time within their weekly schedule to successfully conduct the exercises. | |||||

151-0927-00L | Rate-Controlled Separations in Fine Chemistry | W | 6 credits | 3V + 1U | M. Mazzotti | |

Abstract | The students are supposed to obtain detailed insight into the fundamentals of separation processes that are frequently applied in modern life sicence processes in particular, fine chemistry and biotechnology. | |||||

Objective | The students are supposed to obtain detailed insight into the fundamentals of separation processes that are frequently applied in modern life sicence processes in particular, fine chemistry and biotechnology. | |||||

Content | The class covers separation techniques that are central in the purification and downstream processing of chemicals and bio-pharmaceuticals. Examples from both areas illustrate the utility of the methods: 1) Liquid-liquid extraction; 2) Adsorption and chromatography; 3) Membrane processes; 4) Crystallization and precipitation. | |||||

Lecture notes | Handouts during the class | |||||

Literature | Recommendations for text books will be covered in the class | |||||

Prerequisites / Notice | Requirements: Thermal separation Processes I (151-0926-00) and Modelling and mathematical methods in process and chemical engineering (151-0940-00) |

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