Tino Stankovic: Catalogue data in Spring Semester 2023

Name	Dr. Tino Stankovic
Name variants	Tino Stankovic Tino Stanković
Address	Chair in Engin. Design & Computing ETH Zürich, CLA F 21.2 Tannenstrasse 3 8092 Zürich SWITZERLAND
Telephone	+41 44 632 54 06
E-mail	tinos@ethz.ch
URL	http://www.edac.ethz.ch/
Department	Mechanical and Process Engineering
Relationship	Lecturer

Number	Title	ECTS	Hours	Lecturers
151-0069-10L	Engineering Tool: Design Optimization and CAD The Engineering Tools courses are for MAVT Bachelor’s degree students only.	0.4 credits	1K	T. Stankovic
Abstract	Participants 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.
Learning objective	Basic 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.
Content	1. 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 notes	Handouts in the lecture
Literature	1. 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 / Notice	Max. 25 participants
151-3202-00L	Product Development and Engineering Design	4 credits	2G	K. Shea, T. Stankovic, E. Tilley
Abstract	The course introduces students to the product development process. In a team, you will explore the early phases of conceptual development and product design, from ideation and concept generation through to hands-on prototyping. This is an opportunity to gain product development experience and improve your skills in prototyping and presenting your product ideas. The project topic changes each year.
Learning objective	The course introduces you to the product development process and methods in engineering design for: product planning, user-centered design, creating product specifications, ideation including concept generation and selection methods, material selection methods and prototyping. Further topics include design for manufacture and design for additive manufacture. You will actively apply the process and methods learned throughout the semester in a team on a product development project including prototyping.
Content	Weekly topics accompanying the product development project include: 1 Introduction to Product Development and Engineering Design 2 Product Planning and Social-Economic-Technology (SET) Factors 3 User-Centered Design and Product Specifications 4 Concept Generation and Selection Methods 5 System Design and Embodiment Design 6 Prototyping and Prototype Planning 7 Material Selection in Engineering Design 8 Design for Manufacture and Design for Additive Manufacture
Lecture notes	available on Moodle
Literature	Ulrich, Eppinger, and Yang, Product Design and Development. 7th ed., McGraw-Hill Education, 2020. Cagan and Vogel, Creating Breakthrough Products: Revealing the Secrets that Drive Global Innovation, 2nd Edition, Pearson Education, 2013.
Prerequisites / Notice	Although the course is offered to ME (BSc and MSc) and CS (BSc and MSc) students, priority will be given to ME BSc students in the Focus Design, Mechanics, and Materials if the course is full.
151-3210-00L	Structural Optimization	4 credits	4G	T. Stankovic
Abstract	The course covers fundamentals of structural optimization in terms of the optimal design of topology, shape, size and material for discrete and continuous representations of structures. It develops skills to formally state and model structural design tasks as optimization problems and select appropriate methods to solve them.
Learning objective	The course covers fundamentals of structural optimization in terms of the optimal design of topology, shape, size and material for discrete and continuous representations of structures. After taking the course students will be able to express structural 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 foundations of the state-of-the art structural optimization methods in order to design more efficient and performance optimized technical products. The exercises are MATLAB based.
Content	- Topology optimization of truss structures - Topology optimization by distribution of isotropic material - Structural optimization for additive manufacture
Lecture notes	Available on Moodle.
Literature	Suggested literature: Haftka, R. T., & Gürdal, Z. (2012). Elements of structural optimization (Vol. 11). Springer Science & Business Media. Bendsøe, M. P., & Sigmund, O. (2004). Optimization of structural topology, shape, and material (Vol. 414). Berlin etc: Springer.
Prerequisites / Notice	There are no direct prerequisites for taking this course. However, prior knowledge regarding the fundamentals of mathematical programming methods and structural analysis is advisable.