Kristina Shea: Catalogue data in Autumn Semester 2017

Name Prof. Dr. Kristina Shea
FieldEngineering Design und Computing
Address
Chair in Engin. Design & Computing
ETH Zürich, CLA F 35
Tannenstrasse 3
8092 Zürich
SWITZERLAND
Telephone+41 44 632 04 79
E-mailkshea@ethz.ch
URLhttp://www.edac.ethz.ch
DepartmentMechanical and Process Engineering
RelationshipFull Professor

NumberTitleECTSHoursLecturers
151-0062-10LEngineering Tool V: Computer-Aided Design Methods Restricted registration - show details
Number of participants limited to 25.

Only one course can be chosen per semester. All Engineering Tool courses are for MAVT-Bachelor students only.
0.4 credits1KT. Stankovic, K. Shea
AbstractParticipants will learn about the Computer-Aided Design fundamentals and methods that are necessary to model complex technical products. The focus will be placed on feature-based and parametric modelling that is common to all modern CAD tools used in mechanical engineering design.
ObjectiveCAD knowledge and skills will be further developed to enable students to recognize both the advantages and the limitations of current Computer-Aided Design tools. Examples of how to build feature-based and parametric models including design automation will be given along with common pitfalls. After taking the course students should be able to independently create effective feature-based and parametric models of mechanical parts.
Content1. CAD Methods and Feature-Based Design (2 afternoons):
* CAD in the context of the design process
* Feature types and their relation to mechanical design
* Strategies for building feature-based assemblies
* Integration of digital part libraries
* Common issues and difficulties with feature interaction

2. CAD and Parametric Modeling (1 afternoon):
* Designing and building parametric models
* Design automation to create design variants
* Common issues and difficulties with parametric modelling
151-0321-00LTechnical Drawing and CAD Restricted registration - show details
Only for Mechanical Engineering BSc.
4 credits4GK. Shea
AbstractFundamentals of Technical Drawing and Computer Aided Design (CAD). Introduction to the design process and sketching. Create and read technical drawings. Create 3D models in CAD and fabricate them directly using additive manufacturing (3D printing).
ObjectiveThe lecture and exercises teach the fundamentals of technical drawing and CAD. After taking the course students will be able to create accurate technical drawings of parts and assemblies as well as read them. Students will also be able to create models of parts and assemblies in a 3D, feature-based CAD system. They will understand the links with simulation, product data management (PDM) and additive manufacturing.
ContentIntroduction to Engineering Design
Sketching in Engineering Design

Technical Drawing:
- projections and views
- cuts
- notations
- primitives
- ISO norm elements
- dimensioning
- tolerances
- assemblies
- documentation

CAD:
- CAD basics
- CAD modeling methods
- sketch modeling
- modeling operations
- feature-based modeling
- assemblies
- creating 2D drawings from 3D parts
- links to simulation, e.g. kinematics
- links to model variants and Product Data Management (PDM)
- links to additive manufacturing (3D printing)
Lecture notesLecture slides and exercise handouts are available on the course Moodle website: https://moodle-app2.let.ethz.ch/course/index.php?categoryid=56
LiteratureIn addition to the lecture material the following books are recommended (only in German):

TZ
Technisches Zeichnen: selbstständig lernen und effektiv üben
Susanna Labisch und Christian Weber
2008 Vieweg
ISBN: 978-3-8348-0312-2 ;ISBN: 978-3-8348-9451-9 (eBook)
eBook (accessible from the ETH domain): http://link.springer.com/book/10.1007/978-3-8348-9451-9/page/1

VSM Normen-Auszugs 2010
14. Auflage, ISBN 978-3-03709-049-7
(kann in den Übungen bestellt und gekauft werden)

CAD
Marcel Schmid
CAD mit NX: NX 8
J.Schlembach Fachverlag
ISBN: 978-3-935340-72-4
Prerequisites / NoticeThis course is given as a lecture (1h /week) and an exercise (3h/week). Students are split into working groups for the exercises with a maximum of 20 students per group.

Semester Fee
A fee is charged for printed copies of the course handouts.
151-3201-00LStudies on Engineering Design3 credits6AK. Shea, P. Ermanni, M. Meboldt
AbstractThis course introduces students to the exciting world of Engineering Design research, which crosses disciplines and requires a variety of skills. Each student identifies a topic in Engineering Design for further investigation, either based on those proposed or a new, agreed topic.
ObjectiveStudents gain their first knowledge of Engineering Design research and carry out their first, independent scientific study. Students learn how to read scientific literature and critically analyze and discuss them, gain hands-on experience in the area and learn how to document their work concisely through a report and short presentation.
ContentStudents identify 5-10 journal articles, or scientifically equivalent, in consultation with the supervisor and can define a small, related project in the area to gain hands-on experience. In the beginning of the semester, students develop with the supervisor a 2-page proposal outlining the objective of the study, tasks to be carried out and a brief time plan for the work. Once agreed, the project starts resulting in a report combining the state-of-art literature review and project results, if carried out.

The students work independently on a study of selected topics in the field of Engineering Design. They start with a selection of the topic, identify scientific papers for the literature research and can define a small, related project. The results (e.g. state-of-the-art literature review and small project results where defined) are evaluated with respect to predefined criteria.
Prerequisites / NoticeStudents take this course in parallel to the Lecture "Grand Challenges in Engineering Design". A general meeting will be held in the beginning of the semester to propose topics for the studies. Studies are carried out individually and can be the pre-study for a Bachelor thesis.
151-3203-00LGrand Challenges in Engineering Design1 credit3SP. Ermanni, M. Meboldt, K. Shea
AbstractThe course is structured in three main blocks, each of them addressing a specific grand challenge in engineering design. Each block is composed of an introductory lecture and two to three talks from various speakers from academia and industry.
ObjectiveThe aim of the course is to introduce students to the engineering design research and practice in a multitude of Mechanical Engineering disciplines and convey knowledge from both academia and industry about state of the art methods, tools and processes.
ContentThe students are exposed to a variety of topics in the field of Engineering Design. Topics are bundled in three main grand challenges and include an introductory lecture held by one of the responsible Professors and 2-3 talks each, addressing specific issues and examples. The success of the course is largely dependant on active involvement of the students. The students also individually prepare and present a topic related to the grand challenges presented in the lectures.
Prerequisites / NoticeOffered in English and German
151-3209-00LEngineering Design Optimization Restricted registration - show details
Number of participants limited to 35.
4 credits4GK. Shea, T. Stankovic
AbstractThe course covers fundamentals of computational optimization methods in the context of engineering design. It develops skills to formally state and model engineering design tasks as optimization problems and select appropriate methods to solve them.
ObjectiveThe lecture and exercises teach the fundamentals of optimization methods in the context of engineering design. After taking the course students will be able to express engineering design problems as formal optimization problems. Students will also be able to select and apply a suitable optimization method given the nature of the optimization model. They will understand the links between optimization and engineering design in order to design more efficient and performance optimized technical products. The exercises are MATLAB based.
Content1. Optimization modeling and theory 2. Unconstrained optimization methods 2. Constrained optimization methods - linear and non-linear 4. Direct search methods 5. Stochastic and evolutionary search methods 6. Multi-objective optimization
Lecture notesavailable on Moodle