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Collaborative Multidisciplinary Design Optimization, 6 credits

Kollaborativ multidisciplinär designoptimering, 6 hp

TMKT79

Course starting semester

Main field of study

Mechanical Engineering

Course level

Second cycle

Course type

Programme course

Examiner

Mehdi Tarkian

Director of studies or equivalent

Petter Hallberg

Education components

Preliminary scheduled hours: 48 h
Recommended self-study hours: 112 h

Possible deviation from course syllabus/programme syllabus

ECV = Elective / Compulsory / Voluntary

Course offered for		Semester	Period	Timetable module	Language	Campus	ECV
6CDPU	Design and Product Development	9 (Autumn 2017)	1	2	English	Linköping, Valla	E
6CDPU	Design and Product Development	9 (Autumn 2017)	1	2	Swedish	Linköping, Valla	E
6CMMM	Mechanical Engineering, M Sc in Engineering	9 (Autumn 2017)	1	2	English	Linköping, Valla	E
6CMMM	Mechanical Engineering, M Sc in Engineering (Engineering Design and Product Development)	9 (Autumn 2017)	1	2	English	Linköping, Valla	E
6MMEC	Mechanical Engineering, Master's programme	3 (Autumn 2017)	1	2	English	Linköping, Valla	E

Main field of study

Mechanical Engineering

Course level

Second cycle

Advancement level

A1X

Course offered for

Design and Product Development
Mechanical Engineering, M Sc in Engineering
Mechanical Engineering, Master's programme

Entry requirements

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

Intended learning outcomes

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

Course content

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

Teaching and working methods

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.

Examination

UPG1

Assignment

6 credits

U, 3, 4, 5

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

Grades

Four-grade scale, LiU, U, 3, 4, 5

Department

Institutionen för ekonomisk och industriell utveckling

Director of Studies or equivalent

Petter Hallberg

Examiner

Mehdi Tarkian

Course website and other links

Education components

Preliminary scheduled hours: 48 h
Recommended self-study hours: 112 h

Course literature

Additional literature

Articles

Code	Name	Scope	Grading scale
UPG1	Assignment	6 credits	U, 3, 4, 5

Regulations (apply to LiU in its entirety)

The university is a government agency whose operations are regulated by legislation and ordinances, which include the Higher Education Act and the Higher Education Ordinance. In addition to legislation and ordinances, operations are subject to several policy documents. The Linköping University rule book collects currently valid decisions of a regulatory nature taken by the university board, the vice-chancellor and faculty/department boards.

LiU’s rule book for education at first-cycle and second-cycle levels is available at http://styrdokument.liu.se/Regelsamling/Innehall/Utbildning_pa_grund-_och_avancerad_niva.

Student rights and obligations (login required)
Linköping University common rules and regulations (in Swedish)

Additional literature

Articles

Download

Download course literature list as PDF

Note: The course matrix might contain more information in Swedish.

I = Introduce, U = Teach, A = Utilize

		I	U	A	Modules	Comment
1. DISCIPLINARY KNOWLEDGE AND REASONING
	1.1 Knowledge of underlying mathematics and science (G1X level)
	1.2 Fundamental engineering knowledge (G1X level)
	1.3 Further knowledge, methods, and tools in one or several subjects in engineering or natural science (G2X level)
	1.4 Advanced knowledge, methods, and tools in one or several subjects in engineering or natural sciences (A1X level)
	1.5 Insight into current research and development work
2. PERSONAL AND PROFESSIONAL SKILLS AND ATTRIBUTES
	2.1 Analytical reasoning and problem solving
	2.2 Experimentation, investigation, and knowledge discovery
	2.3 System thinking
	2.4 Attitudes, thought, and learning
	2.5 Ethics, equity, and other responsibilities
3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION
	3.1 Teamwork
	3.2 Communications
	3.3 Communication in foreign languages
4. CONCEIVING, DESIGNING, IMPLEMENTING AND OPERATING SYSTEMS IN THE ENTERPRISE, SOCIETAL AND ENVIRONMENTAL CONTEXT
	4.1 External, societal, and environmental context
	4.2 Enterprise and business context
	4.3 Conceiving, system engineering and management
	4.4 Designing
	4.5 Implementing
	4.6 Operating
5. PLANNING, EXECUTION AND PRESENTATION OF RESEARCH DEVELOPMENT PROJECTS WITH RESPECT TO SCIENTIFIC AND SOCIETAL NEEDS AND REQUIREMENTS
	5.1 Societal conditions, including economic, social, and ecological aspects of sustainable development for knowledge development
	5.2 Economic conditions for knowledge development
	5.3 Identification of needs, structuring and planning of research or development projects
	5.4 Execution of research or development projects
	5.5 Presentation and evaluation of research or development projects

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