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Topology optimization of compressor bracket
Young Shin Lee
The Journal of Mechanical Science and Technology, vol. 22, no. 9, pp.1668-1676, 2008
Abstract : Topology optimization is very useful engineering technique especially at the concept design stage. It is common
habit to design depending on the designer's experience at the early stage of product development. Structural analysis
methodology of compressor bracket was verified on the static and dynamic loading condition with 2 bracket samples
for the topology optimization base model. Topology optimization is able to produce reliable and satisfactory results
with the verified structural model. Base bracket model for the topology optimization was modeled considering the
interference with the adjacent vehicle parts. Objective function was to minimize combined compliance and the constraint
was the first natural frequency over 250 Hz. Multiple load cases such as normal mode calculation and gravity
load conditions with 3-axis direction were also applied for the optimization, expecting an even stress distribution and
vibration durability performance. Commercial structural optimization code such as optistruct of Altair Engineering was
used for the structural topology optimization. Optimization was converged after 14 iterations with the satisfaction of
natural frequency constraint. New bracket shape was produced with the CATIA based on the topology optimization
result. The new bracket from topology optimization result was compared with the traditional concept model and topology
optimization base model under 4 load cases. 14 % 1¡¯st natural frequency of new bracket with only 4 % mass increment
increased compared to the concept model. 31 % mass decreased compared to the base model without the increment
of stress under gravity load cases. It was analyzed thata new bracket would not fail during a vibration durability
test, and these results were verified with a fabricated real sample under the durability condition.
Keyword : Topology optimization; Compressor bracket; Durability; Multi-objective optimization |
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