During the last
decades the product lifecycle has been shortened and as a consequence the
majority of manufacturing companies have focused on decreasing the time to
market. At the same time there has been an increase in product complexity as
well as in the competition between companies often working at a global market. Many
companies have therefore implemented simulation driven product development as a
method to reduce lead time, increase quality, handle complexity, and reduce
development cost for their products. Computational Fluid Dynamics (CFD) is in
this process a valuable tool and the continuous increase in computational power
has now increased the amount of analysis that can be used in the design phase
which in turn increases the use of automatic or semi-automatic optimization.
will study a real industrial product development case with its embedded complexity
and sometimes conflicting design criteria. It will focus on how to; 1) define
and balance these criteria, 2) set up the design and optimization space, 3) use
the results to create/improve the design, and 4) verify the improved performance.
The thesis will most likely be performed in collaboration with one of our