COURSE SYLLABUS
Optimization Driven Design, 6 credits
Optimeringsdriven design, 6 högskolepoäng
Course Syllabus for students Spring 2018
Course Code: | TODS27 |
Confirmed by: | Dean Mar 1, 2016 |
Valid From: | Jan 1, 2017 |
Version: | 1 |
Reg number: | JTH 2016/608-313 |
Education Cycle: | Second-cycle level |
Disciplinary domain: | Technology (95%) and social sciences (5%)
|
Subject group: | MT1
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Specialised in: | A1F
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Main field of study: | Product Development |
Intended Learning Outcomes (ILO)
After completing the course, the student shall
Knowledge and understanding
- have knowledge about how structural and design optimization can be used during the design process.
- be able to show knowledge about how fundamental basic optimization algorithms are used.
- have understanding about how optimization driven design is used in the development of sustainable products.
Skills and abilities
- show ability to use response surfaces optimization in structural analyses.
- show the ability to perform sensitivity analyses.
Judgement and approach
- show ability to perform a major optimization driven design project.
Contents
The course includes the following topics:
- Introduction to optimization driven design, structural optimization, size-, shape- and topology optimization, as well as surrogate based design optimization.
- The steepest descent method, Newton’s method, Karush-Kuhn-Tucker conditions (KKT), linear programming, the Simplex method.
- Response surface optimization, successive response surface optimization, linear and quadratic response surfaces, the normal equation, advanced surrogate models (Kriging and RBFN).
- Design of Experiments (DoE): factorial, Koshal, Box-Behnken, face centered design, S-optimal DoE.
- Robustness analysis, normal distribution, histogram, box plots, scatter plots, Monte Carlo simulations.
Type of instruction
Lectures, tutorials and home assignments.
The teaching is conducted in English.
Prerequisites
Passed courses 180 credits in first cycle, at least 90 credits within the major subject Mechanical Engineering, and 21 credits Mathematics, and completed course Non-linear Finite Element Analysis, 9 credits, and English Language requirements corresponding to English 6 or English B in the Swedish upper secondary school (or the equivalent).
Examination and grades
The course is graded 5,4,3 or Fail.
Registration of examination:
Name of the Test | Value | Grading |
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Examination1 | 5 credits | 5/4/3/U |
Project work | 1 credit | U/G |
1 Determines the final grade of the course, which is issued only when all course units have been passed.
Other information
Exemption from entry requirement allowed according to the selection groups of the program, where the course is included.
Course literature
The literature is preliminary until one month before the course starts.
Title: Introduction to engineering design optimization
Author: Chinyere Onwubiko
Publisher:
ISBN: 9780201476736