Tino Stankovic: Katalogdaten im Herbstsemester 2022
|Herr Dr. Tino Stankovic
Chair in Engin. Design & Computing
ETH Zürich, CLA F 21.2
|+41 44 632 54 06
|Maschinenbau und Verfahrenstechnik
|Engineering Tool: Computer-Aided Design Methods
Die Ingenieur-Tools-Kurse sind ausschliesslich für MAVT-Bachelor-Studierende.
Maximale Teilnehmerzahl: 25.
|T. Stankovic, K. Shea
|Participants 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.
|CAD 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.
|1. 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
|available on Moodle
|Engineering Design Optimization
Number of participants limited to 60.
|K. Shea, T. Stankovic
|The 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.
|The 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.
|1. 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
|available on Moodle