Autumn Semester 2020 takes place in a mixed form of online and classroom teaching.
Please read the published information on the individual courses carefully.

Kristina Shea: Catalogue data in Spring 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
151-0069-10LEngineering Tool IV: Design Optimization and CAD Restricted registration - show details
All Engineering Tool courses are for MAVT-Bachelor students only.

Number of participants limited to 25.

Only one course can be chosen per semester.
0.4 credits1KK. Shea, T. Stankovic
AbstractParticipants will learn about the Computer-Aided Engineering fundamentals and methods that are necessary for successful design of modern technical products. The focus will be placed on the simulation-driven design in the context of product development process as well as on the fundamentals of the design optimization.
ObjectiveBasic Computer-Aided Engineering (CAE) knowledge and skills will be acquired to enable students to recognize both the advantages and the limitations of current CAE tools. Examples of how to build feature-based and parametric models for simulation-driven design automation will be given along with common pitfalls. The CAE environment will be the Siemens NX 8.5 which couples the simulation modeling (e.g. structural, thermal, flow, motion, and multiphysics) with design optimization and Feature-Based Design (FBD). After taking the course students should be able to independently create effective feature-based and parametric models to suit the requirements of simulation-driven design.
Content1. Computer-Aided Engineering (CAE) methods and tools in context of design process (2 afternoons):
* CAE in the context of the design process
* Simulation-driven design
* Introduction to design optimization
* Features, parameterization and synchronous modeling technology
* Basic design optimization examples
* Introduction to Finite-Element Method (FEM) with basic examples

2. Simulation-Driven Design with application to structural design (1 afternoon):
* Coupling simulation with structural design optimization and feature based-design
* Simulation driven design examples (single parts and assemblies)
Lecture notesHandouts in the lecture
Literature1. CAD NX:
Schmid, M. 2012: CAD mit NX: NX 8, Wilburgstetten : Schlembach Fachverlag , ISBN: 978-3-935340-72-4
2. CAE NX:
Reiner, A. and Peter, B. 2010: Simulationen mit NX Kinematik, FEM, CFD und Datenmanagement Mit zahlreichen Beispielen für NX 7.5, Carl Hanser Verlag GmbH & Co. KG, eISBN: 978-3-446-42611-5
Prerequisites / NoticeMax. 25 participants
151-3202-00LEngineering Design Methods Restricted registration - show details
Number of participants limited to 30
4 credits3GK. Shea, T. Stankovic
AbstractThis course introduces students to fundamental topics in engineering design for research and practice covering the main methods, models, theory and methodology. The course will be taught using a number of case studies motivated by grand challenges in engineering design.
ObjectiveThe objectives of the course are to introduce students to the most important topics in design methods, models, theory and methodology that form the basis for engineering design practice and research. A further goal is to develop design reasoning and critical thinking skills.
ContentThe content of the course will be split into three units: 1) understanding designers, 2) design processes and practice and 3) products and designed artefacts. Within each unit key topics and methods will be covered including empirical design research, design science, creativity, processes for engineering design practice, user-centered design, re-design and reverse engineering, product models including functional modeling, product lifecycle and sustainability, design for manufacture including additive manufacturing, and integrated, networked products.
Lecture notesavailable on Moodle