Search result: Catalogue data in Autumn Semester 2017

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 credits2V + 1UT. 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 notesavailable
Prerequisites / NoticePrerequisites: Fluiddynamics I, Numerical Mathematics, programming skills.
Language: German on request.
151-0107-20LHigh Performance Computing for Science and Engineering (HPCSE) IW4 credits4GP. Koumoutsakos, P. Chatzidoukas
AbstractThis course gives an introduction into algorithms and numerical methods for parallel computing for multi and many-core architectures and for applications from problems in science and engineering.
ObjectiveIntroduction to HPC for scientists and engineers
Fundamental of:
1. Parallel Computing Architectures
2. MultiCores
3. ManyCores
ContentProgramming models and languages:
1. C++ threading (2 weeks)
2. OpenMP (4 weeks)
3. MPI (5 weeks)

Computers and methods:
1. Hardware and architectures
2. Libraries
3. Particles: N-body solvers
4. Fields: PDEs
5. Stochastics: Monte Carlo
Lecture notesLink
Class notes, handouts
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
151-0113-00LApplied Fluid DynamicsW4 credits2V + 1UJ.‑P. Kunsch
AbstractApplied Fluid Dynamics
The methods of fluid dynamics play an important role in the description of a chain of events, involving the release, spreading and dilution of dangerous fluids in the environment.
Tunnel ventilation systems and strategies are studied, which must meet severe requirements during normal operation and in emergency situations (tunnel fires etc.).
ObjectiveGenerally applicable methods in fluid dynamics and gas dynamics are illustrated and practiced using selected current examples.
ContentOften experts fall back on the methodology of fluid dynamics when involved in the construction of environmentally friendly processing and incineration facilities, as well as when choosing safe transport and storage options for dangerous materials. As a result of accidents, but also in normal operations, dangerous gases and liquids may escape and be transported further by wind or flowing water.
There are many possible forms that the resulting damage may take, including fire and explosion when flammable substances are mixed. The topics covered include: Emissions of liquids and gases from containers and pipelines, evaporation from pools and vaporization of gases kept under pressure, the spread and dilution of waste gas plumes in the wind, deflagration and detonation of inflammable gases, fireballs in gases held under pressure, pollution and exhaust gases in tunnels (tunnel fires etc.)
Lecture notesnot available
Prerequisites / NoticeRequirements: successful attendance at lectures "Fluiddynamik I und II", "Thermodynamik I und II"
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 MethodsW4 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 codes and verify and validate them 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 + 1UP. 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.
151-0203-00LTurbomachinery Design Restricted registration - show details
Number of participants limited to 20.
W4 credits2V + 1UR. S. Abhari, N. Chokani, B. Ribi
AbstractIntroduction to the understanding of a broad range of turbomachinery devices.
Learn the steps of turbomachinery design.
ObjectiveUnderstand the principles, and learn the design procedures and the behaviour of turbomachines.
ContentDiese Vorlesung beschreibt die Grundlagen des Designs von Turbomaschinen (Turbinen und Verdichtern). Dazu werden zunächst die theoretischen Grundlagen vertieft erarbeitet. Ausgehend von den thermodynamischen Grundlagen werden Verlustkorrelationen und -Mechanismen behandelt. Diese Grundlagen führen zu einem Verständnis des 3D Design der Turbomaschinen.
Im zweiten Teil der Vorlesung wird das Verhalten der Turbomaschinen bei veränderten Betriebsbedingungen dargestellt. Ebenfalls behandelt werden mechanische Fragestellungen des Turbomaschinenbaus wie z.B. Vibrationen, Lagerbelastungen und auftretende Spannungen in den Bauteilen.
Lecture notesLecture notes
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
151-0213-00LFluid Dynamics with the Lattice Boltzmann MethodW4 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.
151-0216-00LWind 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.
151-0235-00LThermodynamics of Novel Energy Conversion Technologies Restricted registration - show details
Number of participants limited to 100.
W4 credits3GC. S. Sharma, G. Sansavini
AbstractIn the framework of this course we will look at a current electronic thermal and energy management strategies and novel energy conversion processes. The course will focus on component level fundamentals of these process and system level analysis of interactions among various energy conversion components.
ObjectiveThis course deals with liquid cooling based thermal management of electronics, reuse of waste heat and novel energy conversion and storage systems such as batteries, fuel cells and micro-fuel cells. The focus of the course is on the physics and basic understanding of those systems as well as their real-world applications. The course will also look at analysis of system level interactions between a range of energy conversion components.
ContentPart 1: Fundamentals:
- Overview of exergy analysis, Single phase liquid cooling and micro-mixing;
- Thermodynamics of multi-component-systems (mixtures) and phase equilibrium;
- Electrochemistry;

Part 2: Applications:
- Basic principles of battery;
- Introduction to fuel cells;
- Reuse of waste heat from supercomputers
- Hotspot targeted cooling of microprocessors
- Microfluidic fuel cells

Part3: System- level analysis
- Integration of the components into the system: a case study
- Analysis of the coupled operations, identification of critical states
- Support to system-oriented design
Lecture notesLecture slides will be made available. Lecture notes will be available for some topics (in English).
Prerequisites / NoticeThe course will be given in English:

1- Mid-term examination: Mid-term exam grade counts as 20% of the final grade.
2- Final exam: Written exam during the regular examination session. It counts as 80% of the final grade.
151-0251-00LIC-Engines and Propulsion Systems I Restricted registration - show details
Number of participants limited to 60.
W4 credits2V + 1UK. Boulouchos, G. Georges, P. Kyrtatos
AbstractIntroduction to basic concepts, operating maps and work processes of internal combustion engines. Thermodynamic analysis and design, scavenging methods, heat transfer mechanisms, turbulent flow field in combustion chambers, turbocharging. Energy systemic role of IC engines: conventional and electrified vehicle propulsion systems and decentralized power generation.
ObjectiveThe students learn the basic concepts of an internal combustion engine by means of the topics mentioned in the abstract. This knowledge is applied in several calculation exercises and two lab exercises at the engine test bench. The students get an insight in alternative power train systems.
Lecture notesin English
LiteratureJ. Heywood, Internal Combustion Engine Fundamentals, McGraw-Hill
151-0368-00LAeroelasticityW4 credits2V + 1UF. Campanile
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 give you a physical basic overview of current-structure phenomena. Furtermore you will get to know the most important phenomena in the statistical and dynamical aeroelastic as well as an introduction to the methods for mathematical descriptions and for the wording of quantitative forecasts.
ContentElemente der Profilaerodynamik. Aeroelastische Divergenz am starren Streifenmodell. Aeroelastische Divergenz eines kontinuierlichen Flügels. Allgemeines über statische Aeroelastik.
Ruderwirksamkeit und -umkehr. Auswirkung der Flügelpfeilung auf statische aeroelastische Phänomene.
Grundelemente der instationären Aerodynamik.
Kinematik des Biegetorsionsflatterns. Dynamik des starren Flügelstreifenmodells. Dynamik des Biegetorsionsflatterns.
Einführung in die Modalanalyse
Einfühung in weitere Phänomene der dynamischen Aeroelastik.
LiteratureY. 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 30.
W4 credits3GD. 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 + 1UM. 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 PlasmonicsW4 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 + 2UR. Büchel, K. Wegner, M. Eggersdorfer
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; Reynolds- and Chilton-Colburn analogies for mass-, heat-, and momentum transfer in turbulent flows; film-, penetration-, and surface renewal theories; simultaneous mass, heat and momentum transfer (boundary layers); homogenous and heterogenous reversible and irreversible reactions; diffusion-controlled reactions; mass transfer and first order heterogenous reaction. Applications.
LiteratureCussler, E.L.: "Diffusion", 3nd edition, Cambridge University Press, 2009.
Prerequisites / NoticeTwo tests are offered for practicing the course material. Participation is mandatory.
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)
151-0933-00LSeminar on Advanced Separation Processes Restricted registration - show details Z0 credits1SM. Mazzotti
AbstractResearch seminar for master's students and doctoral students
ObjectiveResearch seminar for master's students and doctoral students
151-0951-00LProcess Design and SafetyW4 credits2V + 1UP. Rudolf von Rohr
AbstractProcess design and saftey deals with the fundamentals of process apparatus, plant design and safety.
ObjectiveThe goal of the lecture is to expound design characteristics of systems for process engineering applications.
ContentFundamentals of plant and apparatus design; materials in the process industries, mechanical design and design rules of main components; pumps and fans; piping and armatures, safety in process industry
Lecture notesScript is available, english slides will be distributed
LiteratureCoulson and Richardson's: Chemical Engineering , Vol 6: Chemical Engineering Design, (1996)
151-1116-00LIntroduction to Aircraft and Car AerodynamicsW4 credits3GJ. Wildi
AbstractAircraft aerodynamics: Atmosphere; aerodynamic forces (lift, drag); thrust.
Vehicle aerodynamics: Aerodynamic and mass forces, drag, lift, car aerodynamics and performence. Passenger cars, trucks, racing cars.
ObjectiveAn introduction to the basic principles and interrelationships of aircraft and automotive aerodynamics.
To understand the basic relations of the origin of aerodynamic forces (ie lift, drag). To quantify the aerodynamic forces for basic configurations of aercraft and car components.
Illustration of the intrinsic problems and results using examples.
Using experimental and theoretical methods to illustrate possibilities and limits.
ContentAircraft aerodynamics: atmosphere, aerodynamic forces (ascending force: profile, wings. Resistance, residual resistance, induced resistance); thrust (overview of the propulsion system, aerodynamics of the propellers), introduction to static longitudinal stability.

Automobile aerodynamics: Basic principles: aerodynamic force and the force of inertia, resistance, drive, aerodynamic and driving performance. Cars commercial vehicles, racing cars.
Lecture notes1.) Grundlagen der Flugtechnik (Basics of flight science, script in german language)
2.) Einführung in die Fahrzeugaerodynamik (Introduction in car aerodynamics, script in german language)
LiteratureEnglish literature covering the content of the course:
- Anderson Jr, John D: Introduction to Flight, Mc Graw Hill, Ed 06, 2007; ISBN: 9780073529394
- Mc Cormick, B.W.: Aerodynamics, Aeronautics and Flight Mechanics, John Wiley and Sons, 1979
- Hucho, Wolf-Heinrich: Aerodynamics of Road Vehicles, SAE International, 1998
101-0187-00LStructural Reliability and Risk Analysis Information W3 credits2GS. Marelli
AbstractStructural reliability aims at quantifying the probability of failure of systems due to uncertainties in their design, manufacturing and environmental conditions. Risk analysis combines this information with the consequences of failure in view of optimal decision making. The course presents the underlying probabilistic modelling and computational methods for reliability and risk assessment.
ObjectiveThe goal of this course is to provide the students with a thorough understanding of the key concepts behind structural reliability and risk analysis. After this course the students will have refreshed their knowledge of probability theory and statistics to model uncertainties in view of engineering applications. They will be able to analyze the reliability of a structure and to use risk assessment methods for decision making under uncertain conditions. They will be aware of the state-of-the-art computational methods and software in this field.
ContentEngineers are confronted every day to decision making under limited amount of information and uncertain conditions. When designing new structures and systems, the design codes such as SIA or Euro- codes usually provide a framework that guarantees safety and reliability. However the level of safety is not quantified explicitly, which does not allow the analyst to properly choose between design variants and evaluate a total cost in case of failure. In contrast, the framework of risk analysis allows one to incorporate the uncertainty in decision making.

The first part of the course is a reminder on probability theory that is used as a main tool for reliability and risk analysis. Classical concepts such as random variables and vectors, dependence and correlation are recalled. Basic statistical inference methods used for building a probabilistic model from the available data, e.g. the maximum likelihood method, are presented.

The second part is related to structural reliability analysis, i.e. methods that allow one to compute probabilities of failure of a given system with respect to prescribed criteria. The framework of reliability analysis is first set up. Reliability indices are introduced together with the first order-second moment method (FOSM) and the first order reliability method (FORM). Methods based on Monte Carlo simulation are then reviewed and illustrated through various examples. By-products of reliability analysis such as sensitivity measures and partial safety coefficients are derived and their links to structural design codes is shown. The reliability of structural systems is also introduced as well as the methods used to reassess existing structures based on new information.

The third part of the course addresses risk assessment methods. Techniques for the identification of hazard scenarios and their representation by fault trees and event trees are described. Risk is defined with respect to the concept of expected utility in the framework of decision making. Elements of Bayesian decision making, i.e. pre-, post and pre-post risk assessment methods are presented.

The course also includes a tutorial using the UQLab software dedicated to real world structural reliability analysis.
Lecture notesSlides of the lectures are available online every week. A printed version of the full set of slides is proposed to the students at the beginning of the semester.
LiteratureAng, A. and Tang, W.H, Probability Concepts in Engineering - Emphasis on Applications to Civil and Environmental Engineering, 2nd Edition, John Wiley & Sons, 2007.

S. Marelli, R. Schöbi, B. Sudret, UQLab user manual - Structural reliability (rare events estimation), Report UQLab-V0.92-107.
Prerequisites / NoticeBasic course on probability theory and statistics
101-0499-00LBasics of Air Transport (Aviation I)
Hinweis: alter Titel bis HS16 "Grundlagen der Luftfahrt"
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; Law Enforcement; Maintenance & Manufacturers; Airport Operations & Planning; Customs & Security; ATC & Airspace; Air Freight; General Aviation; Business Jet Operations; Business models within Airline Industry; Military Operations.

Technical visit: This course includes a guided tour at Zurich Airport and Dubendorf Airfield (baggage sorting system, apron, tower & radar Simulator at Skyguide Dubendorf).
Additionally, the lecture "military operations" will be held at Dubendorf airfield with visiting Swiss Army helicopters.

Examination: written, 90 min, open books
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
227-0455-00LTerahertz: Technology & Applications
Does not take place this semester.
W3 credits2VK. Sankaran
AbstractThis course will provide a solid foundation for understanding physical principles of THz applications. We will discuss various building blocks of THz technology - components dealing with generation, manipulation, and detection of THz electromagnetic radiation. We will introduce THz applications in the domain of imaging, communications, and energy harvesting.
ObjectiveThis is an introductory course on Terahertz (THz) technology and applications. Devices operating in THz frequency range (0.1 to 10 THz) have been increasingly studied in the recent years. Progress in nonlinear optical materials, ultrafast optical and electronic techniques has strengthened research in THz application developments. Due to unique interaction of THz waves with materials, applications with new capabilities can be developed. In theory, they can penetrate somewhat like X-rays, but are not considered harmful radiation, because THz energy level is low. They should be able to provide resolution as good or better than magnetic resonance imaging (MRI), possibly with simpler equipment. Imaging, very-high bandwidth communication, and energy harvesting are the most widely explored THz application areas. We will study the basics of THz generation, manipulation, and detection. Our emphasis will be on the physical principles and applications of THz in the domain of imaging, communication and energy harvesting.
ContentINTRODUCTION
Chapter 1: Introduction to THz Physics
Chapter 2: Components of THz Technology

THz TECHNOLOGY MODULES
Chapter 3: THz Generation
Chapter 4: THz Detection
Chapter 5: THz Manipulation

APPLICATIONS
Chapter 6: THz Imaging
Chapter 7: THz Communication
Chapter 8: THz Energy Harvesting
Literature- Yun-Shik Lee, Principles of Terahertz Science and Technology, Springer 2009
- Ali Rostami, Hassan Rasooli, and Hamed Baghban, Terahertz Technology: Fundamentals and Applications, Springer 2010

Whenever we deviate from the main material discussed in these books, softcopy of lectures notes will be provided.
Prerequisites / NoticeGood foundation in electromagnetics & knowledge of microwave or optical communication is helpful.
227-0665-00LBattery Integration Engineering Restricted registration - show details
Number of participants limited to 30.
W3 credits2V + 1UT. J. Patey
AbstractBatteries enable sustainable mobility, renewable power integration, various power grid services, and residential energy storage. Linked with low cost PV, Li-ion batteries are positioned to shift the 19th-century centralized power grid into a 21st-century distributed one. As with battery integration, this course combines understanding of electrochemistry, heat & mass transfer, device engineering.
ObjectiveThe learning objectives are:
- Know the history of batteries and understand the material science breakthroughs that enabled disruptive battery technologies.
- Understand the physical processes behind making battery models in order to predict lifetime.
- Understand system and battery requirements for various applications in the modern power system and sustainable mobility, with a deep focus on replacing diesel buses with electric buses combined with charging infrastructure.
- Critically assess progresses in material science for novel battery technologies reported in literature, and understand the opportunities and challenges these materials could have.
Content- History and introduction to electrochemistry & batteries.
- Li-ion batteries & next generation batteries.
- Battery lifetime modelling by aging, thermal, and electric sub-models.
- Introduction to power conversion systems and control & protection.
- Battery systems for the modern power grid and sustainable mobility.
Prerequisites / NoticeTaken and passed 227-0664-00L
Limited to 30 Students
Priority given to Electrical and Mechanical Engineering students
227-0950-00LAcoustics Information Z0 credits0.5KK. Heutschi
AbstractCurrent topics in Acoustics presented mostly by external speakers from academia and industry.
Objectivesee above
529-0193-00LRenewable Energy Technologies I
Does not take place this semester.
The lectures Renewable Energy Technologies I (529-0193-00L) and Renewable Energy Technologies II (529-0191-01L) can be taken independently from one another.
W4 credits3GA. Wokaun, A. Steinfeld
AbstractScenarios for world energy demand and CO2 emissions, implications for climate. Methods for the assessment of energy chains. Potential and technology of renewable energies: Biomass (heat, electricity, biofuels), solar energy (low temp. heat, solar thermal and photovoltaic electricity, solar chemistry). Wind and ocean energy, heat pumps, geothermal energy, energy from waste. CO2 sequestration.
ObjectiveScenarios for the development of world primary energy consumption are introduced. Students know the potential and limitations of renewable energies for reducing CO2 emissions, and their contribution towards a future sustainable energy system that respects climate protection goals.
ContentScenarios for the development of world energy consumption, energy intensity and economic development. Energy conversion chains, primary energy sources and availability of raw materials. Methods for the assessment of energy systems, ecological balances and life cycle analysis of complete energy chains. Biomass: carbon reservoirs and the carbon cycle, energetic utilisation of biomass, agricultural production of energy carriers, biofuels. Solar energy: solar collectors, solar-thermal power stations, solar chemistry, photovoltaics, photochemistry. Wind energy, wind power stations. Ocean energy (tides, waves). Geothermal energy: heat pumps, hot steam and hot water resources, hot dry rock (HDR) technique. Energy recovery from waste. Greenhouse gas mitigation, CO2 sequestration, chemical bonding of CO2. Consequences of human energy use for ecological systems, atmosphere and climate.
Lecture notesLecture notes will be distributed electronically during the course.
Literature- Kaltschmitt, M., Wiese, A., Streicher, W.: Erneuerbare Energien (Springer, 2003)

- Tester, J.W., Drake, E.M., Golay, M.W., Driscoll, M.J., Peters, W.A.: Sustainable Energy - Choosing Among Options (MIT Press, 2005)

- G. Boyle, Renewable Energy: Power for a sustainable futureOxford University Press, 3rd ed., 2012, ISBN: 978-0-19-954533-9

-V. Quaschning, Renewable Energy and Climate ChangeWiley- IEEE, 2010, ISBN: 978-0-470-74707-0, 9781119994381 (online)
Prerequisites / NoticeFundamentals of chemistry, physics and thermodynamics are a prerequisite for this course.

Topics are available to carry out a Project Work (Semesterarbeit) on the contents of this course.
636-0507-00LSynthetic Biology II Restricted registration - show details W4 credits4AS. Panke, Y. Benenson, J. Stelling
Abstract7 months biological design project, during which the students are required to give presentations on advanced topics in synthetic biology (specifically genetic circuit design) and then select their own biological system to design. The system is subsequently modeled, analyzed, and experimentally implemented. Results are presented at an international student competition at the MIT (Cambridge).
ObjectiveThe students are supposed to acquire a deep understanding of the process of biological design including model representation of a biological system, its thorough analysis, and the subsequent experimental implementation of the system and the related problems.
ContentPresentations on advanced synthetic biology topics (eg genetic circuit design, adaptation of systems dynamics, analytical concepts, large scale de novo DNA synthesis), project selection, modeling of selected biological system, design space exploration, sensitivity analysis, conversion into DNA sequence, (DNA synthesis external,) implementation and analysis of design, summary of results in form of scientific presentation and poster, presentation of results at the iGEM international student competition (Link).
Lecture notesHandouts during course
Prerequisites / NoticeThe final presentation of the project is typically at the MIT (Cambridge, US). Other competing schools include regularly Imperial College, Cambridge University, Harvard University, UC Berkeley, Princeton Universtiy, CalTech, etc.

This project takes place between end of Spring Semester and beginning of Autumn Semester. Registration in April.

Please note that the number of ECTS credits and the actual work load are disconnected.