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Ansys optiSLang

To execute parametric studies and optimize engineering designs, automate your simulation toolchains, using state-of-the-art optimization techniques.

 

 

 

 

ansys-optislang-simulation-software

 

 

 

 

 

 

Industry-Specific Applications | Ansys optiSLang

 

optiSLang in Turbomachinery

All turbomachinery designs need to be optimized for efficiency​

  • Compared with traditional optimization approaches optiSLang helps to unlock performance potentials by means of:​
    • Effective handling of large number of parameter​
    • Combining multiple physics​ simulations
    • Taking care of robustness/reliability in the optimization process​
    • Minimizing the need for prototypes, and associated expenses
    • Automating the optimization process to reduce development time
  • Competitors may provide comparable results of product performance, but have strong limitations in parametric optimization.
  • In addition, changes in design geometry for competitor software options are limited or even non-existent.
  • In general optiSLang’s advantage over build-in optimization is manifold:
    • Enables parametric changes on every physics (mechanical, electrical, thermal, etc.)
    • Quantifying the effect of uncertainties which is fundamental for underlying design basis.
    • optiSLang is solver agnostic, working with any solver including tools created in-house

 

optiSLang in Automotive

Evaluate & Validate Automotive Controller Software Functions

  • Reduce the number of necessary simulations to evaluate probabilities of failure
  • Probabilities of failure analyses for different ECU, territories, sensors, etc.
  • Automated controller calibration: manual tweaks are replaced by smart optimization of the PID control parameters
  • In general, optiSLang’s advantage over competitive optimization tools is manifold:
    • Works with all solvers, especially Ansys solvers
    •  No expert knowledge about algorithms is needed, and therefore, accessible to any engineer
    • Much more flexibility and efficiency with optiSLang
    • Instantly toggle 2D/3D parametric design simulations

 

optiSLang in Mechanical

Increase Product Performance

  • optiSLang enables the full optimization potentials due to​:
    • Effective handling of huge number of parameter​s, objectives and constraints (from fabrication, space, other physics, costs) 
  • Enhanced Design understanding
    • Top-to-Bottom product robustness consideration within the optimization process​
    • Accelerate product development process and reduce prototype expenses
  • Third-Party Solver Integration –
    •  Have a third-party solver your team is already comfortable with?  No sweat, stay with your tool.  OptiSLang connects with every solver.
  • Compatible with in-house created analysis tools (excel, python, etc.
    • We can automate and extent the workflow beyond its capabilities to increase the number of parameters for greater design optimization potential.
  • Time for Internal Adoption
    • Changing the process will be fast; the time savings & increased improvements are rewarding, and noticed quickly.  

 

 

 

 

optiSLang in Electric Drives

  • Flexible Workflows for Electric Motors Development
  • Metamodels can be used as FMU
  • Multi-Domain, Multi-Criteria enable to take care of:
    • Electrical, Thermal, Mechanical, NVH, Safety and Cost aspects
      • Decision support in early design phase
      • Performance Map, Drive Cycle Optimization
  • Integration of results in system simulation, including:
    • Powertrains
    • Inverters
    • Batteries
    • Accelerometers
    • …and more!
  • Competitors may provide comparable results of product performance, but have strong limitations in parametric optimization.
  • In addition, changes in design geometry for competitor software options are limited or even non-existent.
  • In general optiSLang’s advantage over build-in optimization is manifold:
    •  Works best with Ansys AEDT (Maxwell) and MotorCAD
    • Enables parametric changes on every level (mechanical, electrical, thermal, etc.)
    • Quantifying the effect of uncertainties is fundamental for underlying design basis

 

optiSLang in Optical Products

Improve Product Performance by Pushing the Boundaries

  • Fulfill tremendous amount of optimization criteria (including restrictions from manufacturing, installation space, FEM, regulations etc.)
  • Fulfill performance and robustness demands at the same time
  • Explore manufacturing technologies of optical systems
  • Identify adequate input tolerances and potential savings
  • Predict output data that can not be accurately or not efficiently simulated or measured
  • In regards to optics-based optimization, competitors may advertise sensitivity analysis’ capability, but only consider linear effects, and no interactions between parameters are considered.
  • In addition, changes in design geometry for competitor software options are limited or even non-existent.
  • In competitors tolerance analysis’, engineers need to invest thousands of designs in order to proof very low probabilities of failure whereas with optiSLang, only a hundred of design simulations are needed.  Not to mention, optiSLang is the gold-standard in terms of speed of said simulations and accuracy.

 

optiSLang in Wireless Charging

Precise Simulation for Power Transmission

  • Reduce physical prototypes
  • High fidelity solution and a wholistic perspective of performance
  • Identify best possible design
  • Proof reliability of performance
  • Automate the optimization process
  • Reduce development time
  • Physics based decision making – not based on ‘looks right’ conjecture
  • Competitors may provide comparable results of product performance, but have strong limitations in parametric optimization.
  • In addition, changes in design geometry for competitor software options are limited or even non-existent.
  • In general optiSLang’s advantage over build-in optimization is manifold:
    •  Works best with Ansys AEDT (Maxwell), but also integrates with third-party applications
    • Enables parametric changes on every level (mechanical, electrical, thermal, etc.)
    • Quantifying the effect of uncertainties is fundamental for underlying design basis

 

 

 

 

Ansys optiSLang

Supporting Video Content:

2022 Product Updates
Ansys optiSLang
Magnetic Gear Optimization
Ansys optiSLang
Cylinder Piston Simulation
Ansys optiSLang

 

 

 

 

 

Contact for Ansys optiSLang, Parametric Design Software