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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.
Engineering Design Optimization Software
Generate Parametric Designs with Ease
Ansys optiSLang is a cutting-edge, constantly growing solution to the issues of CAE-based Robust Design Optimization (RDO).
Its vanguard algorithms swiftly and automatically find the most resilient design configuration, obviating the time-consuming, human process that was previously required to define RDO.
You’ll make better decisions faster with optiSLang as your process integration and design optimization solution.
optiSLang Core Capabilities
Determine the best and most robust design configuration by using interactive wizards and automate the design process. With design optimization software, you can gain a deeper understanding of your design and make better judgments with less work thanks to cutting-edge algorithms for design exploration, optimization process, robustness, and reliability analysis.
- Automation of Processes
- Robust Design and Reliability Analysis
- Reduced-Order Modeling
- Seamless Model Calibration
- Minerva Integration by Ansys
- Rapid Experimental Design
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 parameters, 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
- Electrical, Thermal, Mechanical, NVH, Safety and Cost aspects
- 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
