Search result: Catalogue data in Spring Semester 2021

Mechanical Engineering Bachelor Information
4. Semester
Electives
NumberTitleTypeECTSHoursLecturers
151-0304-00LEngineering Design IIW4 credits4GK. Wegener
AbstractDimensioning (strength calculation) of machine parts,
shaft - hub - connections, welded and brazed joints, springs, screws, roller and slide bearings, transmissions, gears, clutch and brake as well as their practical applications.
ObjectiveThe students extend in that course their knowledge on the correct application of machine parts and machine elements including dimensioning. Focus is laid on the acquisition of competency to solve technical problems and judge technical solutions and to correctly apply their knowledge according to operation conditions, functionality and strength calculations.
ContentMachine parts as shaft - hub - connections, welded and brazed joints, springs, screws, roller and slide bearings, transmissions, gears, clutch and brake are discussed. The course covers for all the machine elements their functionality, their application and limits of applicability and the dimensioning is as well as their practical applications. Exercises show the solution of practical problems. Partly practical problems are solved by the students for their own.
Lecture notesScript exists. Price: SFr. 40.-
Prerequisites / NoticePrerequisites:
Basics in design and product development
Dimensioning 1

Credit-conditions / examination:
Partly practical problems are solved by the students for their own. The examination will be in the following examination session. Credits are given after passing the examination.
151-0431-00LModels, Algorithms and Data: Introduction to Computing Information W4 credits2V + 1UJ. H. Walther, G. Arampatzis
AbstractFundamental Computational Methods for data analysis, modeling and simulation relevant to Engineering applications. The course emphasizes the implementation of these methods in Python with application examples drawn from Engineering applications
ObjectiveThe course aims to introduce Engineering students to fundamentals of Interpolation, Solution of non-linear equations, Filtering and Numerical Integration as well as the use of novel methods such as Machine Learning and Bayesian Uncertainty Quantification. The course aims to integrate numerical methods with enhancing the students' programming skills.
Lecture noteshttps://www.cse-lab.ethz.ch/teaching/mad_fs21/
Lecture Notes
Literature1. Introduction to Applied Mathematics, G. Strang
2. Analysis of Numerical Methods, Isaacson and Keller
Prerequisites / NoticeA course on the interface of classical (first principle) and Data driven models in computing. Fundamental algorithms for inference, approximation and optimisation. Bridging the gap of Computational and Data sciences.
151-0590-00LControl Systems II Information W4 credits2V + 2UL. Guzzella
AbstractFor SISO systems: Controller design (PID, cascades, predictors, numerical methods), compensation of nonlinearities, controller realization. For MIMO systems: Design of state feedback controllers, state observers and observer-based controllers in time domain, in particular LQR and LQG approaches. Robustness analysis and approaches for robustness recovery. Controller design in frequency domain.
ObjectivePart I: The students are able to design and implement effective SISO controllers and to compensate the most important nonlinearities.
Part II: The students understand the differences between SISO and MIMO control systems and can apply the most important analysis and synthesis methods for MIMO control loops.
ContentPart I: More effective design methods for SISO controllers (PID, cascaded control loops, predictors, numerical methods). Compensation of the most important nonlinearities. Controller realization with analog and digital elements.
Part II: Extension of the basic SISO ideas (time and frequency domain, controllability, observability, eigenvalues, poles, zeros, frequency response, etc.) to MIMO systems. Design of state feedback controllers in time domain, in particular LQR approaches. Design of state observers and observer-based controllers with state feedback, in particular LQG approaches. Robustness analysis for MIMO control loops and approaches to increase robustness. Outlook to controller design in frequency domain. Several case studies.
Lecture notesScript for Control Systems II.

Parts from Analysis and Synthesis of Single-Input Single-Output Control Systems, Lino Guzzella, vdf Hochschulverlag.

In addition, the slides of the lecture will be made available online.
Literature- Analysis and Synthesis of Single-Input Single-Output Control Systems, Lino Guzzella, vdf Hochschulverlag.

- S. Skogestad and I. Postlethwaite. Multivariable Feedback Control, Analysis and design, 2nd ed. John Wiley and Sons.

- K. Zhou with J. C. Doyle. Essentials of Robust Control. Prentice Hall.

- Feedback Systems: An Introduction for Scientists and Engineers Karl J. Åström and Richard M. Murray
Prerequisites / NoticeKnowledge of the classical control theory (e.g. from the "151-0591-00 - Control Systems I" course).
151-0700-00LManufacturingW4 credits2V + 2UK. Wegener
AbstractFundamental terms of productions engineering, plastic deformation, machining, Lasermachining, Mechatronic in the productions machine construction, Quality assurance, Process chain planning.
Objective- Knowledge of principal terms of manufacturing engineering
- Basic knowledge of some processes, their mode of operation and
design (forming, separative processes, Laser technics)
- Knowledge of product defining properties and limitations of applications
- In competition of processes make the right decisions
- Procedure for process chain planning
- Basic knowledge for quality assurance
ContentExplanation of basic principles of manufacturing technics and insight into the functionality of a manufacturing shop. Plastic deformation- and separative- manufacturing processes, as well as laser machining (welding and cutting), and their layouts, product defining properties and limitations of applications such as the associated workshop facilities, will be introduced in different details. Further basic principles of the industrial measurement technique and mechatronics concepts in machine tool construction will be discussed.
Lecture notesYes
LiteratureHerbert Fritz, Günter Schulze (Hrsg.) Fertigungstechnik. 6. Aufl. Springer Verlag 2003
Prerequisites / NoticeAn excursion to one or two manufacturing engineering plant is planned.
151-0966-00LIntroduction to Quantum Mechanics for EngineersW4 credits2V + 2UD. J. Norris
AbstractThis course provides fundamental knowledge in the principles of quantum mechanics and connects it to applications in engineering.
ObjectiveTo work effectively in many areas of modern engineering, such as renewable energy and nanotechnology, students must possess a basic understanding of quantum mechanics. The aim of this course is to provide this knowledge while making connections to applications of relevancy to engineers. After completing this course, students will understand the basic postulates of quantum mechanics and be able to apply mathematical methods for solving various problems including atoms, molecules, and solids. Additional examples from engineering disciplines will also be integrated.
ContentFundamentals of Quantum Mechanics
- Historical Perspective
- Schrödinger Equation
- Postulates of Quantum Mechanics
- Operators
- Harmonic Oscillator
- Hydrogen atom
- Multielectron Atoms
- Crystalline Systems
- Spectroscopy
- Approximation Methods
- Applications in Engineering
Lecture notesClass Notes and Handouts
LiteratureText: David J. Griffiths and Darrell F. Schroeter, Introduction to Quantum Mechanics, 3rd Edition, Cambridge University Press.
Prerequisites / NoticeAnalysis III, Mechanics III, Physics I, Linear Algebra II
327-3002-00LMaterials for Mechanical EngineersW4 credits2V + 1UR. Spolenak, A. R. Studart, R. Style
AbstractThis course provides a basic foundation in materials science for mechanical engineers. Students learns how to select the right material for the application at hand. In addition, the appropriate processing-microstructure-property relationship will lead to the fundamental understanding of concepts that determines the mechanical and functional properties.
ObjectiveAt the end of the course, the student will able to:
• choose the appropriate material for mechanical engineering applications
• find the optimal compromise between materials property, cost and ecological impact
• understand the most important concepts that allow for the tuning of mechanical and functional properties of materials
ContentBlock A: Materials Selection
• Principles of Materials Selection
• Introduction to the Cambridge Engineering Selector
• Cost optimization and penalty functions
• Ecoselection

Block B: Mechanical properties across materials classes
• Young's modulus from 1 Pa to 1 TPa
• Failure: yield strength, toughness, fracture toughness, and fracture energy
• Strategies to toughen materials from gels to metals.

Block C: Structural Light Weight Materials
• Aluminum and magnesium alloys
• Engineering and fiber-reinforced polymers

Block D: Structural Materials in the Body
• Strength, stiffness and wear resistance
• Processing, structure and properties of load-bearing implants

Block E: Structural High Temperature Materials
• Superalloys and refractory metals
• Structural high-temperature ceramics

Block F: Materials for Sensors
• Semiconductors
• Piezoelectrica

Block G: Dissipative dynamics and bonding
• Frequency dependent materials properties (from rheology of soft materials to vibration damping in structural materials)
• Adhesion energy and contact mechanics
• Peeling and delamination

Block H: Materials for 3D Printing
• Deposition methods and their consequences for materials (deposition by sintering, direct ink writing, fused deposition modeling, stereolithography)
• Additive manufacturing of structural and active Materials
Literature• Kalpakjian, Schmid, Werner, Werkstofftechnik
• Ashby, Materials Selection in Mechanical Design
• Meyers, Chawla, Mechanical Behavior of Materials
• Rösler, Harders, Bäker, Mechanisches Verhalten der Werkstoffe
626-0012-00LBioengineering Information
For the Focus Biomedical Engineering this course is strongly recommended to be chosen among the Electives.
W4 credits3GS. Panke, J. G. Snedeker
AbstractAn introduction to biology for engineers: basic biochemistry, cell metabolism (principles of energy and mass transfer in cellular systems), cell biology (structure and composition of cells, transport processes across cell membranes, growth and reproduction of cells), cellular and molecular biophysics, quantitative tools used in bio- and biomedical engineering
ObjectiveStudents that already posses an engineering background will be exposed to a broad introduction of fundamental concepts in the fields of biology and chemistry. Focus will be given to aspects relevant to research and development projects in the fields of biotechnology, bioprocess engineering, or biomedical devices. The course will highlight technically exploitable elements in biology and chemistry, to provide the basic understanding and a necessary vocabulary for interdisciplinary communication with biologists / biotechnologists.
ContentBasic biochemistry, cell metabolism (principles of energy and mass transfer in the cell, biocatalysis and enzymes, cellular respiration, protein synthesis, regulation), cellular biology (structure and composition of cells, transport processes across cell membranes, growth and reproduction of cells) , introduction to biotechnology tools and applications of molecular and cellular engineering.
Lecture notesLecture slides and supporting material made available for download on ILIAS.
LiteratureNA Campbell, JB Reece : Biology, Oxford University Press; B. Alberts et al : Molecular Biology of the Cell , Garland Science; J. Koolman , Roehm KH : Color Atlas of Biochemistry, Thieme-Verlag.; CR Jacobs, H Huang, RY Kwon: Introduction to Cell Mechanics and Mechanobiology, Garland Science;
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