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ISIGHT

ISIGHT : ROBOT FOR SIMULATION PROCESSES & DESIGN OPTIMIZATION

Businesses use many different in-house and 3rd party applications to analyze product performance & cost
  • The compatibility between these applications is difficult to maintain
  • A specific application can only be run by a few individuals
The use of all these applications is not standardized and difficult to repeat
  • It is hard to make a fair comparison between different design options if  they are produced by a different methodology
  • It is hard to train new employees in all these methods because these methods are not formalized
Businesses can’t consider enough design alternatives in the time available for product development
  • There is only time to look at a few options and it is unclear if better options exist
  • It is not possible to include the effect of operational variability on our design because it would take too much time to take this into account.

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REDUCE DESIGN TIME
  • A template for frequently used design processes
  • Automate parallel submission of optimization, Monte Carlo, and DOE jobs on multiprocessor machines
IMPROVE QUALITY
  • Design-to-target for simulation attributes
  • Account for variation in materials, loads, tolerances, and operating conditions
UNDERSTAND YOUR DESIGN
  • Which model parameters influence design targets
  • Trade off design alternatives in real time with colleagues and other stakeholders
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SIMULATION PROCESS FLOW AUTHORING

  • Create a simulation process templates for automation / repeatability / training
  • Integrate commercial simulation solvers like ABAQUS, NASTRAN, ANSYS
  • Integrate common application tools like EXCEL, MATLAB, WORD
  • Integrate in-house codes

DESIGN OF EXPERIMENT (DOE)

  • Perform trade-offs and understand the design space
  • Multiple DOE algorythms

PARAMETRIC OPTIMIZATION

  • Drive toward a target performance
  • Optimize geometric parameters from CAD geometry or FE based parameters
  • Multiple optimization algorythms

DESIGN FOR SIX SIGMA

  • Drive design toward target quality
  • Input parameters uncertainty and variation