Course syllabus

Datorbaserad konstruktionsoptimering
Computer Based Engineering, Design Optimization

MMKN15, 5 credits, A (Second Cycle)

Valid for: 2015/16
Decided by: Education Board E
Date of Decision: 2015-04-13

General Information

Elective for: M4-pu
Language of instruction: The course will be given in English on demand

Aim

This course aims to provide students with insight into how advanced computer aids can be utilized for analyzing products (primarely structural and fluid flow analyses) in order to optimizie products at different levels of concretization and complexity in the engineering design process. In the course such optimization methods are introduced which focus on singel phenomena as well as such suitable for complex combinations of phenomena. In the course computer based tools are introduced to handle the actual optimization through concrete design tasks and examples from industry and the research world.

Learning outcomes

Knowledge and understanding
For a passing grade the student must

• be able to analyse, as well as motivate the choice of analysis type for a simple optimization problem exposed to static structural loads, flow and/or thermal loads
• be able to create an analysis model based on the chosen analysis type
• be able to introduce necessary boundary conditions into the analysis model
• execute the actual analysis program
• be able to evaluate the optimization results achieved and suggest possible changes in the existing design solution
• be able to communicate the process as well as the results of the analysis/es orally and in writing

Competences and skills
For a passing grade the student must

• based on the assignment description, carry out a complete (global) optimization a design solution exposed to structural, thermal and/or fluid flow
• have acquired the kind of insights into the methods, technology and terminology regarding current computer based design analyses so that the student is able to communicate his or her results to an industrial company verbally and in writing

Judgement and approach
For a passing grade the student must

• be able to reflect on the results achieved and suggest possible further analyses and/or design changes in the original design solution

Contents

The course covers how a given design solution subjected to a singel or complex phenomena is given a mathematical formualtion (model), which in turn can be transformed into an optimization problem. Based on this formulation a suitable optimization method and tool is selected. The obtained result(s) is to be implemented into the given design solution. The design problems covered in the couurse ranges from simple components to complex products.

 

Examination details

Grading scale: TH
Assessment: For a final passing grade the student must pass the two required problem-based individual assignments. The final grade is the average of the two assignment grades. Note that the assignments can be resubmitted with improvements if the student does not receive a passing grade the first time, but they will only be credited with the minimum number of points to pass - for the problem at hand.

Parts
Code: 0116. Name: Optimization of Design Component.
Credits: 2,5. Grading scale: UG. Assessment: This task is evaluated against a number of criteria. The resukt from this evaluation is given in the form of a garding in the TH-scale. Contents: The optimization in this task is focusing on a part or component in a product. The optimization task is on one or more phenomenon.
Code: 0216. Name: Optimization of Product.
Credits: 2,5. Grading scale: UG. Assessment: This task is evaluated against a number of criteria. The resukt from this evaluation is given in the form of a garding in the TH-scale. Contents: The optimization in this task is focusing on a product of some complexity. The optimization task is on one or more phenomenon.

Admission

Admission requirements:

Required prior knowledge: MMK010 Manual and Computer Aided Drafting and FHLN01 Structural Optimization.
The number of participants is limited to: No
The course might be cancelled: If the number of applicants is less than 16.

Reading list

Contact and other information

Course coordinator: Per-Erik Andersson, per-erik.andersson@mkon.lth.se
Course administrator: Cilla Perlhagen, cilla.perlhagen@design.lth.se
Course homepage: http://www.mkon.lth.se