Study Guide@lith

Linköping Institute of Technology

Valid for year : 2017
TMKT79 Collaborative Multidisciplinary Design Optimization, 6 ECTS credits.
/Kollaborativ multidisciplinär designoptimering/

For:   DPU   M   MEC  


Prel. scheduled hours: 48
Rec. self-study hours: 112

  Area of Education: Technology

Main field of studies: Mechanical Engineering

  Advancement level (G1, G2, A): A

The goal is mainly to introduce an integrated modeling approach, which is then used to automatically search through the design space with suitable optimization algorithms. After completing this course, the participants will have a good understanding of how practical design automation and optimization can be setup in a product development process. The ultimate aims is finding optimal solution and still reduce the current time to market by applying a more efficient product development process.
After completion of the course the students shall:
  • be capable of creating geometric centric design frameworks in various CAD tools such as CATIA V5, SolidWorks and Creo.
  • use a modular driven modeling methodology in order to create automated design frameworks, which can be more easily enhanced and modified. The modular methods will be applied on mainly CAD, FEM and Dynamic models.
  • be able to use various tools in order to establish integration between the models.
    be capable of creating numerical efficient surrogate models in order to reduce the simulation time and thus making an optimization more practical.
  • understand how different algorithms should be utilized in different engineering problems involving multiple disciplines.
  • understand how a complex problem should be formally stated with multiple objectives and constraints.
  • be able to discuss the plausibility of the results

Prerequisites: (valid for students admitted to programmes within which the course is offered)
Design Optimization and Product Modelling

Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshhold requirements for progression within the programme, or corresponding.

Lectures and computer exercises where methods and techniques thought in the course are applied to real design tasks. The lectures consist of mixed theory overview as well as guest lecturers from the industry to put the theory in a real world context.

Course contents:
The Collaborative Multidisciplinary Design Optimization (CMDO) course focuses on tools and methods for model based engineering and optimization within the machine design field.
The course is divided in two parts. In the first part of the course the students are introduced to modeling and simulation procedures as well surrogate modeling and optimization strategies
In the second part of the course the students are introduced to an examination task, which should be solved in groups. Furthermore the content of the course is listed as follows:
  • Multidisciplinary Optimization in the design process using tools such as MATLAB and ModeFRONTIER
  • Formulation of design problems as optimization problems
  • Geometric Modeling using tools such as CATIA V5, SolidWorks and Creo
  • Surrogate Modeling in MATLAB and ModeFRONTIER
  • FEM and CFD modeling using Ansys
  • Dynamic Modeling with Simulink and Dymola
  • Model integration using software such as MATLAB, Excel and ModeFRONTIER

Course literature:
The course literature consists of scientific papers, recommended literature and compendiums, which are mainly intended for the first part of the course. To complement the compendiums there will be additional tutorials. All course material is available through the course homepage. The students are also encouraged to actively search for additional material.

In the examination project students are working in groups. Upon completion of the project, the student will present their project during an oral examination. During the examination individual questions are asked, and individual exercises may be handed out

Course language is English.
Department offering the course: IEI.
Director of Studies: Mikael Axin
Examiner: Mehdi Tarkian

Course Syllabus in Swedish

Linköping Institute of Technology


Contact: TFK ,
Last updated: 08/22/2017