Search result: Catalogue data in Autumn Semester 2020

Mechanical Engineering Master Information
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.
NumberTitleTypeECTSHoursLecturers
151-0105-00LQuantitative Flow VisualizationW4 credits3GT. Rösgen
AbstractThe 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.
ObjectiveIntroduction 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.
ContentFundamentals 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 notesHandouts will be made available.
Prerequisites / NoticePrerequisites: Fluiddynamics I, Numerical Mathematics, programming skills.
Language: German on request.
151-0107-20LHigh Performance Computing for Science and Engineering (HPCSE) I Information W4 credits4GP. Koumoutsakos, S. M. Martin
AbstractThis 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.
ObjectiveWith 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.
Content1. 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 noteshttps://www.cse-lab.ethz.ch/teaching/hpcse-i_hs20/
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 / NoticeStudents 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.
151-0109-00LTurbulent FlowsW4 credits2V + 1UP. Jenny
AbstractContents
- 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
ObjectiveBasic 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 notesLecture notes are available
LiteratureS.B. Pope, Turbulent Flows, Cambridge University Press, 2000
151-0125-00LHydrodynamics and CavitationW4 credits3GO. Supponen
AbstractThis 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.
ObjectiveThe 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.
ContentThe 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 notesClass notes and handouts
LiteratureLiterature will be provided in the course material.
Prerequisites / NoticeFluid dynamics I & II or equivalent
151-0163-00LNuclear Energy ConversionW4 credits2V + 1UH.‑M. Prasser
AbstractPhyiscal 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
ObjectiveStudents 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.
ContentNuclear 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 notesHand-outs will be distributed. Additional literature and information on the website of the lab: Link
LiteratureS. 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
151-0182-00LFundamentals of CFD Methods Restricted registration - show details W4 credits3GA. Haselbacher
AbstractThis 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.
Objective1. 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.
Content1. 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 notesThe course is based mostly on notes developed by the instructor.
LiteratureLiterature: 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 / NoticePrior knowledge of fluid dynamics, applied mathematics, basic numerical methods, and programming in Fortran and/or C++ (knowledge of MATLAB is *not* sufficient).
151-0185-00LRadiation Heat Transfer Information W4 credits2V + 1UA. Steinfeld, P. Pozivil
AbstractAdvanced course in radiation heat transfer
ObjectiveFundamentals 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.
Content1. 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 notesCopy of the slides presented.
LiteratureR. 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.
151-0207-00LTheory and Modeling of Reactive FlowsW4 credits3GC. E. Frouzakis, I. Mantzaras
AbstractThe 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.
ObjectiveTheory of combustion with numerical applications
ContentThe 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 notesHandouts
Prerequisites / NoticeNEW course
151-0209-00LRenewable Energy Technologies Information W4 credits3GA. Steinfeld, E. I. M. Casati, F. Dähler
AbstractRenewable energy technologies: solar, biomass, wind, geothermal, hydro, waste-to-energy. Focus is on the engineering aspects.
ObjectiveStudents learn the potential and limitations of renewable energy technologies and their contribution towards sustainable energy utilization.
Prerequisites / NoticePrerequisite: strong background on the fundamentals of engineering thermodynamics, equivalent to the material taught in the courses Thermodynamics I, II, and III of D-MAVT.
151-0213-00LFluid Dynamics with the Lattice Boltzmann Method Restricted registration - show details W4 credits3GI. Karlin
AbstractThe course provides an introduction to theoretical foundations and practical usage of the Lattice Boltzmann Method for fluid dynamics simulations.
ObjectiveMethods 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.
ContentThe 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 notesLecture 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 / NoticeThe course addresses mainly graduate students (MSc/Ph D) but BSc students can also attend.
151-0215-00LEngineering Acoustics IW4 credits3GN. Noiray, B. Van Damme
AbstractThis 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.
ObjectiveThis 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.
ContentFirst, 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 notesHandouts will be distributed during the class
LiteratureBooks will be recommended for each chapter
151-0216-00LWind EnergyW4 credits2V + 1UN. Chokani
AbstractThe 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.
ObjectiveThe objective of this course is to introduce the students to the fundamentals, technologies, modern day application, and economics of wind energy.
ContentThis 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.
151-0227-00LBasics of Air Transport (Aviation I)W4 credits3GP. Wild
AbstractIn 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.
ObjectiveThe 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.
ContentWeekly: 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 notesPreparation materials & slides are provided prior to each class
LiteratureLiterature will be provided by the lecturers, respectively there will be additional Information upon registration
Prerequisites / NoticeNone
151-0251-00LIC-Engines: Principles, Thermodynamic Optimization and Future ApplicationsW4 credits2V + 1UK. Boulouchos, G. Georges, K. Herrmann
AbstractFuture 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.
ObjectiveThe 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 notesIn English.
LiteratureJ. Heywood, Internal Combustion Engine Fundamentals, McGraw-Hill
151-0368-00LAeroelasticity Restricted registration - show details W4 credits2V + 1UM. Righi
AbstractIntroduction 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.
ObjectiveThe 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.
ContentIntroduction 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 notesA script in English language is available.
LiteratureBispilnghoff Ashley, Aeroelasticity
Abbott, Theory of Wing sections,
Y. C. Fung, An Introduction to the Theory of Aeroelasticity, Dover Phoenix Editions.
151-0709-00LStochastic Methods for Engineers and Natural Scientists Restricted registration - show details
Number of participants limited to 20.
W4 credits4GD. W. Meyer-Massetti
AbstractThe 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.
ObjectiveBy 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 notesDetailed lecture notes will be provided.
LiteratureSome 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
151-0851-00LRobot Dynamics Information Restricted registration - show details W4 credits2V + 2UM. Hutter, R. Siegwart
AbstractWe 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.
ObjectiveThe 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.
ContentThe 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 / NoticeThe contents of the following ETH Bachelor lectures or equivalent are assumed to be known: Mechanics and Dynamics, Control, Basics in Fluid Dynamics.
151-0911-00LIntroduction to Plasmonics Information W4 credits2V + 1UD. J. Norris
AbstractThis course provides fundamental knowledge of surface plasmon polaritons and discusses their applications in plasmonics.
ObjectiveElectromagnetic 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.
ContentFundamentals 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 notesClass notes and handouts
LiteratureS. A. Maier, Plasmonics: Fundamentals and Applications, 2007, Springer
Prerequisites / NoticePhysics I, Physics II
151-0917-00LMass TransferW4 credits2V + 2US. E. Pratsinis, A. Güntner, V. Mavrantzas
AbstractThis 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.
ObjectiveThis 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.
ContentFick'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.
LiteratureCussler, E.L.: "Diffusion", 3nd edition, Cambridge University Press, 2009.
Prerequisites / NoticeStudents attending this highly-demanding course are expected to allocate sufficient time within their weekly schedule to successfully conduct the exercises.
151-0927-00LRate-Controlled Separations in Fine ChemistryW6 credits3V + 1UM. Mazzotti
AbstractThe 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.
ObjectiveThe 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.
ContentThe 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 notesHandouts during the class
LiteratureRecommendations for text books will be covered in the class
Prerequisites / NoticeRequirements: Thermal separation Processes I (151-0926-00) and Modelling and mathematical methods in process and chemical engineering (151-0940-00)
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