How optimization is helping CFD consulting business become more - - PowerPoint PPT Presentation

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How optimization is helping CFD consulting business become more - - PowerPoint PPT Presentation

How optimization is helping CFD consulting business become more competitive Annual investment in We have helped RS&DE to offer over 80 R&D cutting-edge solutions departments 10 qualified We master 10 high-end We delivered more


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How optimization is helping CFD consulting business become more competitive

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We have helped

  • ver 80 R&D

departments Annual investment in RS&DE to offer cutting-edge solutions We delivered more than 250 successful simulation and

  • ptimization projects

10 qualified employees We master 10 high-end softwares

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Optimization & Design exploration

=

  • Instant expertise
  • Performance
  • Speed
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Tools

Optimat e Hyperstudy

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Case 1 – HVAC, Wall-mounted faceplate

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Case presentation

  • GOAL: Change the look
  • Original design: poor flow rate
  • MANDATE: GIVE DESIGN DIRECTIONS
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Traditional approach

Initial Design CFD Propose alternative New Design

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Revised approach

Initial Design Design Exploration Discussion Final Design

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OPtimization

Top spacing Bottom spacing TOP length BOTTOM length ROTATION ANGLE

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sensitivity

length Top spacing Bottom spacing Rotation angle

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BENEFITS

  • Reduced time
  • Reduced cost
  • engineering integrated with

design

  • Better performance
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Case 2 – POOL equipment power

  • ptimization
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Case presentation

  • GOAL: optimize power for

reduced flow/rpm

  • Reduction of pump power per

new regulations

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Traditional approach

1

  • Fixed number of iteration
  • CFD with Best-guess initial design

2

  • Analyze and design next iteration
  • Iterate (3 - 4 times due to cost)

3

  • Prototype final design
  • Hope it works in all conditions
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revised approach

1

  • DEFINE operation conditions
  • Choose design parameters
  • Explore and optimize

2

  • Analyze and design next educated iteration
  • Simulate new design
  • Iterate if necessary

3

  • Prototype final design
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Optimization – initial model

  • Optimate+
  • Use of 3d-Cad

parameters

  • 50 simulations
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OPtimization- parameters

3 parameters

  • Blade length
  • Blade curvature
  • Number of blades

Objective

  • Maximize torque
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Optimization - results

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Optimization – final design

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benefits

  • Faster turnaround
  • Reduced cost
  • Better understanding
  • Better performance
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Case 3 – shape optimization of a bike parts

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Case presentation

  • Goal: Increase aero

performances

  • Fork
  • Downtube
  • design exploration and
  • ptimization
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Traditional approach

1

  • initial design guess
  • CFD

2

  • Analyze and design next iteration
  • Iterate (3 - 4 times due to cost)

3

  • prototype

4

  • Wind tunnel validation
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revised approach

1

  • Evaluate primary shapes at different angles, speed …

2

  • CFD with initial design GUESS

3

  • Analyze and design next iteration
  • Iterate (3 - 4 times due to cost)

4

  • prototype

5

  • Wind tunnel validation
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Example - downtube

D1 D4 D3 D2

4 parameters 2 constraints Reduce drag at:

  • 0 deg
  • 15 deg
  • Combination
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results - downtube

D1 D4 D3 D2

Results downtube

  • Circular constraint AT minimum
  • Min thickness at trailing edge
  • 0 deg -35%
  • 15 deg - 71%
  • Objective - 56%

Results fork

  • Less restrictions
  • More complex conditions (wheel)
  • Objective - 35%
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0 - deg

before after

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15 - deg

before after

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BENEFITS

Better first approximation Faster global iterative process Evaluation of areas where reducing drag makes a difference Increased performances on parts where no wind tunnel data is available

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Optimization & Design exploration

=

  • Instant expertise
  • Performance
  • Speed
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