Search result: Catalogue data in Autumn Semester 2016
|Process Engineering Master|
|151-0107-20L||High Performance Computing for Science and Engineering (HPCSE) I||W||4 credits||4G||M. Troyer, P. Chatzidoukas|
|Abstract||This 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.|
|Objective||Introduction to HPC for scientists and engineers|
1. Parallel Computing Architectures
|Content||Programming models and languages:|
1. C++ threading (2 weeks)
2. OpenMP (4 weeks)
3. MPI (5 weeks)
Computers and methods:
1. Hardware and architectures
3. Particles: N-body solvers
4. Fields: PDEs
5. Stochastics: Monte Carlo
Class notes, handouts
|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.
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.|
|151-0293-00L||Combustion and Reactive Processes in Energy and Materials Technology||W||4 credits||2V + 1U + 2A||K. Boulouchos, F. Ernst, Y. M. Wright|
|Abstract||The students should become familiar with the fundamentals and with application examples of chemically reactive processes in energy conversion (combustion engines in particular) as well as the synthesis of new materials.|
|Objective||The students should become familiar with the fundamentals and with application examples of chemically reactive processes in energy conversion (combustion engines in particular) as well as the synthesis of new materials. The lecture is part of the focus "Energy, Flows & Processes" on the Bachelor level and is recommended as a basis for a future Master in the area of energy. It is also a facultative lecture on Master level in Energy Science and Technology and Process Engineering.|
|Content||Reaction kinetics, fuel oxidation mechanisms, premixed and diffusion laminar flames, two-phase-flows, turbulence and turbulent combustion, pollutant formation, applications in combustion engines. Synthesis of materials in flame processes: particles, pigments and nanoparticles. Fundamentals of design and optimization of flame reactors, effect of reactant mixing on product characteristics. Tailoring of products made in flame spray pyrolysis.|
|Lecture notes||HANDOUTS are EXCLUSIVELY IN GERMAN ONLY, however|
recommendations for English text books will be provided.
TEACHING LANGUAGE IN CLASS is German OR English (ON DEMAND).
|Literature||I. Glassman, Combustion, 3rd edition, Academic Press, 1996.|
J. Warnatz, U. Maas, R.W. Dibble, Verbrennung, Springer-Verlag, 1997.
|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
- Extraordinary optical transmission
- Enhanced spectroscopy
|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||R. Büchel, S. E. Pratsinis|
|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; 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.|
|Literature||Cussler, E.L.: "Diffusion", 2nd edition, Cambridge University Press, 1997.|
|Prerequisites / Notice||Two tests are offered for practicing the course material. Participation is mandatory.|
|151-0927-00L||Rate-Controlled Separations in Fine Chemistry||W||4 credits||3G||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)|
|151-0951-00L||Process Design and Safety||W||4 credits||2V + 1U||P. Rudolf von Rohr|
|Abstract||Process design and saftey deals with the fundamentals of process apparatus, plant design and safety.|
|Objective||The goal of the lecture is to expound design characteristics of systems for process engineering applications.|
|Content||Fundamentals 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 notes||Script is available, english slides will be distributed|
|Literature||Coulson and Richardson's: Chemical Engineering , Vol 6: Chemical Engineering Design, (1996)|
|151-0957-00L||Practica in Process Engineering I |
Prerequisites: "Einführung in Verfahrenstechnik" (151-0973-00L) and further process engineering courses.
|W||2 credits||2P||P. Rudolf von Rohr, F. Prins|
|Abstract||Practical training at pilot facilities for fundamental processing steps, typical laboratory and pilot facility experiments.|
|Objective||Getting acquainted with unit operations, measuring tools and data processing|
|Content||5 practica in total (3 from Prof. Norris, 2 from Prof. Rudolf von Rohr), details on dates are available at the beginning of the semester in ML H 14 and on our website|
Rudolf von Rohr
Residence time distribution
Rudolf von Rohr
|Lecture notes||Descriptions of the practica available|
|Literature||Information in the description|
|529-0613-00L||Process Simulation and Flowsheeting||W||7 credits||3G||E. Capón García, K. Hungerbühler|
|Abstract||This course encompasses the theoretical principles of chemical process simulation, as well as its practical application in process analysis and optimization. The techniques for simulating stationary and dynamic processes are presented, and illustrated with case studies. Commercial software packages are presented as a key engineering tool for solving process flowsheeting and simulation problems.|
|Objective||This course aims to develop the competency of chemical engineers in process flowsheeting and simulation. Specifically, students will develop the following skills:|
- Deep understanding of chemical engineering fundamentals: the acquisition of new concepts and the application of previous knowledge in the area of chemical process systems and their mechanisms are crucial to intelligently simulate and evaluate processes.
- Modeling of general chemical processes and systems: students have to be able to identify the boundaries of the system to be studied and develop the set of relevant mathematical relations, which describe the process behavior.
- Mathematical reasoning and computational skills: the familiarization with mathematical algorithms and computational tools is essential to be capable of achieving rapid and reliable solutions to simulation and optimization problems. Hence, students will learn the mathematical principles necessary for process simulation and optimization, as well as the structure and application of process simulation software. Thus, they will be able develop criteria to correctly use commercial software packages and critically evaluate their results.
|Content||Overview of process simulation and flowsheeting|
- Definition and fundamentals
- Classification: stationary (steady-state) versus dynamic (transient state) systems
- Fields of application
- Case studies
- Modeling strategies of process systems
- Mass conservation
- Species balance
- Energy conservation
- Momentum balance
- Multiphase-systems: equilibrium & non-equilibrium models
- Process system model
- Process specification
- Introduction to process specification
- Classification of mathematical models: AMS, DOE, DAE, PDE
- Model validation
- Software tools
- Solution methods for process flowsheeting
- Simultaneous methods
- Sequential methods
- Dynamic simulation
- Numerical solution: explicit and implicit methods
- Continuous-discrete simulation: handling of discontinuities
Process optimization and analysis
- Classification of optimization problems
- Linear programming
- Non-linear programming
- Dynamic programming
- Optimization methods in process flowsheeting
- Sequential methods
- Simultaneous methods
Commercial software for simulation: Aspen Plus
- Thermodynamic property methods
- Reaction and reactors
- Separation / columns
- Convergence & debugging
|Literature||An exemplary literature list is provided below:|
- Biegler, L.T., Grossmann I.E., Westerberg A.W., 1997, systematic methods of chemical process design. Prentice Hall, Upper Saddle River, US.
- Boyadjiev, C., 2010, Theoretical chemical engineering: modeling and simulation. Springer Verlag, Berlin, Germany.
- Ingham, J., Dunn, I.J., Heinzle, E., Prenosil, J.E., Snape, J.B., 2007, Chemical engineering dynamics: an introduction to modelling and computer simulation. John Wiley & Sons, United States.
- Reklaitis, G.V., 1983, Introduction to material and energy balances. John Wiley & Sons, United States.
|Prerequisites / Notice||A basic understanding of material and energy balances, thermodynamic property methods and typical unit operations (e.g., reactors, flash separations, distillation/absorption columns etc.) is required.|
|636-0001-00L||Separations in Biotechnology and Bioprocess Economy||W||6 credits||3G||S. Panke|
|Abstract||Separations play an integral part of any biotechnological process. This course aims at enabling students specifically with a chemistry/biology background to select & roughly design suitable separation processes for typical biotechnological products such as monoclonal antibodies, antibiotics, and fine chemicals and at providing a basic set of purification operations & judge on process economy.|
|Objective||Students should be able to select for a given biotechnological product a suitable set of purification operations and judge on process economy.|
|Content||Introduction – membrane operations – adsorption and chromatography – crystallization – overall process economics –|
|Lecture notes||Handouts during course|
|151-0185-00L||Radiation Heat Transfer||W||4 credits||2V + 1U||A. Steinfeld, A. Z'Graggen|
|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 xxchange. 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.
|151-0104-00L||Uncertainty Quantification for Engineering & Life Sciences |
Does not take place this semester.
Number of participants limited to 60.
|W||4 credits||3G||P. Koumoutsakos|
|Abstract||Quantification of uncertainties in computational models pertaining to applications in engineering and life sciences. Exploitation of massively available data to develop computational models with quantifiable predictive capabilities. Applications of Uncertainty Quantification and Propagation to problems in mechanics, control, systems and cell biology.|
|Objective||The course will teach fundamental concept of Uncertainty Quantification and Propagation (UQ+P) for computational models of systems in Engineering and Life Sciences. Emphasis will be placed on practical and computational aspects of UQ+P including the implementation of relevant algorithms in multicore architectures.|
|Content||Topics that will be covered include: Uncertainty quantification under|
parametric and non-parametric modelling uncertainty, Bayesian inference with model class assessment, Markov Chain Monte Carlo simulation, prior and posterior reliability analysis.
|Lecture notes||The class will be largely based on the book: Data Analysis: A Bayesian Tutorial by Devinderjit Sivia as well as on class notes and related literature that will be distributed in class.|
|Literature||1. Data Analysis: A Bayesian Tutorial by Devinderjit Sivia |
2. Probability Theory: The Logic of Science by E. T. Jaynes
3. Class Notes
|Prerequisites / Notice||Fundamentals of Probability, Fundamentals of Computational Modeling|
|151-0509-00L||Microscale Acoustofluidics |
Number of participants limited to 30.
|W||4 credits||3G||J. Dual|
|Abstract||In this lecture the basics as well as practical aspects (from modelling to design and fabrication ) are described from a solid and fluid mechanics perspective with applications to microsystems and lab on a chip devices.|
|Objective||Understanding acoustophoresis, the design of devices and potential applications|
|Content||Linear and nonlinear acoustics, foundations of fluid and solid mechanics and piezoelectricity, Gorkov potential, numerical modelling, acoustic streaming, applications from ultrasonic microrobotics to surface acoustic wave devices|
|Lecture notes||Yes, incl. Chapters from the Tutorial: Microscale Acoustofluidics, T. Laurell and A. Lenshof, Ed., Royal Society of Chemistry, 2015|
|Literature||Microscale Acoustofluidics, T. Laurell and A. Lenshof, Ed., Royal Society of Chemistry, 2015|
|Prerequisites / Notice||Solid and fluid continuum mechanics. Notice: The exercise part is a mixture of presentation, lab session and hand in homework.|
| Multidisciplinary Courses|
The students are free to choose individually from the entire course offer of ETH Zurich, ETH Lausanne and the Universities of Zurich and St. Gallen.
|» Course Catalogue of ETH Zurich|
|151-1008-00L||Semester Project Process Engineering |
Only for Process Engineering MSc.
The subject of the Master Thesis and the choice of the supervisor (ETH-professor) are to be approved in advance by the tutor.
|Abstract||The semester project is designed to train the students in the solution of specific engineering problems. This makes use of the technical and social skills acquired during the master's program. Tutors propose the subject of the project, elaborate the project plan, and define the roadmap together with their students, as well as monitor the overall execution.|
|Objective||The semester project is designed to train the students in the solution of specific engineering problems. This makes use of the technical and social skills acquired during the master's program.|
|151-1012-00L||Industrial Internship Process Engineering||O||8 credits||external organisers|
|Abstract||The main objective of the 12-week internship is to expose master's students to the industrial work environment. During this period, students have the opportunity to be involved in on-going projects at the host institution.|
|Objective||The main objective of the 12-week internship is to expose master's students to the industrial work environment.|
|GESS Science in Perspective|
|» Recommended GESS Science in Perspective (Type B) for D-MAVT.|
|» see GESS Science in Perspective: Type A: Enhancement of Reflection Capability|
|» see GESS Science in Perspective: Language Courses ETH/UZH|
|151-1005-00L||Master's Thesis Process Engineering |
Students who fulfill the following criteria are allowed to begin with their Master's Thesis:
a. successful completion of the bachelor program;
b. fulfilling of any additional requirements necessary to gain admission to the master programme;
c. successful completion of the semester project and industrial internship;
d. achievement of 28 ECTS in the category "Core Courses".
The Master's Thesis must be approved in advance by the tutor and is supervised by a professor of ETH Zurich.
To choose a titular professor as a supervisor, please contact the D-MAVT Student Administration.
|Abstract||Master's programs are concluded by the master's thesis. The thesis is aimed at enhancing the student's capability to work independently toward the solution of a theoretical or applied problem. The subject of the master's thesis, as well as the project plan and roadmap, are proposed by the tutor and further elaborated with the student.|
|Objective||The thesis is aimed at enhancing the student's capability to work independently toward the solution of a theoretical or applied problem.|
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