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Behr US Sculptor

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The baseline and optimized shapes. Mindware. Knowledge Based Engineering. ISO 9001:2000 Certified ... Star-CD CFD commercial software is used as the solver. ... – PowerPoint PPT presentation

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Title: Behr US Sculptor


1
3D Shape Optimization Of Evaporator Diffuser
using Sculptor
Requested by Michael Schrumpf
Performed by Mohsen Battoei
December 05, 2005
2
Objective
  • The aim of this study is to optimize the shape
    of the evaporator
  • diffuser to maximize flow uniformity across
    the S-section of the
  • evaporator utilizing Sculptor.
  • The baseline evaporator flow model was provided
    by Behr.
  • The baseline is set up in Star-CD.
  • The flow uniformity is defined as following

3
Sculptor set up procedure
X1
X0
X2
  • The model is imported into Sculptor.
  • ASD (arbitrary shape deformation) volume is
    defined around the objective.
  • Some control points are grouped together.
  • 6 individual Design Variables (DV) are defined
    as X0, X1 , X2 , X3, X4 and X5.
  • The DVs are fixed in Y and Z directions.

X3
X4
X5
4
Sculptor set up procedurecontd.
  • The grouped control points are selected
  • as DVs in Analysis Variables menu.
  • Sculptor reads in the baseline analysis results
    into the Analysis Function Dialog.
  • The uniformity index is selected to be
  • maximized.
  • The number of optimization iteration is set to
    2.

5
Results in Sculptor
  • Totally 16 analysis are computed for 2
  • optimization iteration in Star-CD.
  • The flow uniformity index increased by
  • 5.15 in 96 compared with baseline 91.13.
  • The pressure drop decreased by 1.2 in 744 pas
    compared with baseline, 753 pas.

6
Velocity contour on the S-section
7
Velocity contour on the S-section
8
Velocity contour
9
The baseline and optimized shapes
10
Animation
11
Summary
  • The model is set up for optimization in
    Sculptor.
  • For the first optimization study several design
    variables are considered.
  • Star-CD CFD commercial software is used as the
    solver.
  • The preliminary results of flow uniformity shows
    a 5.15 increase when
  • compared with the baseline case. (Baseline
    91.13 , optimized 96)
  • The pressure drop shows a 1.2 decrease when
    compared with the baseline
  • case. (Baseline 753 pas, optimized 744 pas)
  • It is expected that further optimization is
    achievable by defining additional
  • control points around the objective.
  • The total 16 analysis are done in 5 hours.
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