Parameterization and Multiobjective Optimization
This thesis has dealt with the overall process regarding optimization of a control
arm, with a focus on providing a practical guide. The rst chapter explains how
to approach these kinds of issues and outlines a strategy for model parameterization.
The product requirements has been identied. The overall goal is to
reduce weight by 10 % while maintaining the same stiness. Then the most
suited design expressions has been chosen to ensure the best possible outcome
of the following optimizations.
When the optimal parameterization strategy has been chosen the next chapter
deals with an automatic optimization in the internal optimization module
in NX to verify if the criteria related to model parameterization was met. This
generated weight savings of 2,67 % which is a quite good result.
The nal chapter regarding multiobjective optimization contains all the
background with congurations, theory and optimizations done within modeFRONTIER.
Five dierent algorithms was tested in modeFRONTIER with
default preferences and benchmarked against each other. This was done as a
way to determine their eciency with no prior information that could help the
eciency of the algorithms. Two of the best algorithms were chosen for a more
extensive optimization with a subsequent local search to nd out if they could
generate better results. The best result generated weight savings of 3,56 %,
which was produced by the Hybrid algorithm.
Place, publisher, year, edition, pages
Institutt for produktutvikling og materialer , 2013. , 176 p.
IdentifiersURN: urn:nbn:no:ntnu:diva-22260Local ID: ntnudaim:9900OAI: oai:DiVA.org:ntnu-22260DiVA: diva2:648715
Rølvåg, Terje, Professor