Optimetrics Success Story Solenoid PullIn Force Optimization - PowerPoint PPT Presentation

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Optimetrics Success Story Solenoid PullIn Force Optimization

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Manufacture. Yes. Simulate. Each simulation produce results for one configuration ... Manufacture. Yes. Simulate. Only one model must be set up ... – PowerPoint PPT presentation

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Title: Optimetrics Success Story Solenoid PullIn Force Optimization


1
Optimetrics Success StorySolenoid Pull-In Force
Optimization
Objective Optimize pull-in force for given air
gap by varying pole and plunger radius. Coil OD
must remain constant.
Note This presentation is best viewed in
slide-show view
2
Optimetrics Success StorySolenoid Pull-In Force
Optimization
Options
3
Nominal Design
Plunger
  • Independent Variable
  • Plunger radius
  • Dependent Variables
  • Pole OD
  • Coil ID
  • Excitation

Coil
Pole
4
Maxwell 3D SolutionSet up separate
magnetostatic solutions
Efficient!
5
Maxwell 3D SolutionProcess
Efficient!
  • Each simulation produce results for one
    configuration
  • Results are compiled and analyzed manually
  • Each simulation replaces one build-and-test
    cycle
  • User will identify the optimal design by choosing
    the best of the solutions

6
More efficient!
Maxwell 3D ParametricsSet up multiple
magnetostatic solutions simultaneously
7
More efficient!
Maxwell 3D ParametricsSet up multiple
magnetostatic solutions simultaneously
8
More efficient!
Maxwell 3D ParametricsSet up multiple
magnetostatic solutions simultaneously
  • Each simulation produces results for multiple
    configurations
  • Parametric table results may be analyzed in
    post-processor
  • Each simulation replaces multiple
    build-and-test cycles
  • User will identify the optimal design by choosing
    the best of the solutions as displayed in the
    post-processor

9
Most efficient!
Maxwell 3D OptimizationSet up cost function
using objective (max force) and independent
variable (plunger radius) as unknowns
10
Most efficient!
Maxwell 3D Optimization
Optimization solution
Parametrics solution
11
Most efficient!
Maxwell 3D Optimization
  • Only one model must be set up
  • Optimization table results may be analyzed in
    post-processor
  • Each simulation replaces multiple
    build-and-test cycles
  • Optimetrics finds optimal solution automatically
    using user-defined criteria (cost-function)
  • Fewer solutions may be needed to achieve optimal
    solution!

12
Summary
  • Simulation offers actuator designers significant
    efficiencies over traditional build-and-test
    methods
  • Ansofts simulation tools offer various levels of
    benefits to its users.
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