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Ansys optiSLang

Streamlining process integration, design optimization, and robustness assessment are features used for automating simulation toolchains and integrating optimization algorithms to conduct parametric design studies.

Revolutionize Engineering with Ansys optiSLang®: Seamless Integration and Optimization

Process integration and design optimization tool that facilitates automated workflow management, optimization, and robustness evaluation for engineering designs. It integrates seamlessly with various Ansys simulation products, allowing users to streamline complex engineering tasks and improve product performance. The software employs advanced algorithms for design exploration, sensitivity analysis, and optimization, enabling engineers to identify the most influential design parameters. It supports both parametric and non-parametric models, providing flexibility in handling different types of design variables and constraints. Additionally, optiSLang's user-friendly interface and powerful automation capabilities enhance productivity and reduce the time required for design iterations.

  • Process Integration
  • Robustness Evaluation
  • User-Friendly Interface
  • Simulation Workflow Building
  • Sensitivity Analysis
  • Extensibility, Flexibility
  • Model Calibration
  • Simulation Process and Data Management
  • Multidisciplinary Optimization
  • Reliability Analysis

Check out the key features of Ansys optiSLang

Process Integration

Workflow is streamlined by automating repetitive tasks and integrating various simulation tools. This automation capability enhances productivity, minimizes errors, and shortens the time required for design iterations.

Multidisciplinary Optimization

Advanced algorithms for exploring design options, identifying optimal solutions, and improving product performance are supported. This enables various optimization methods, such as gradient-based and evolutionary algorithms, to handle complex design problems and efficiently identify the best design parameters.

Uncertainty Quantification

Assessing the impact of uncertainties in input parameters on design performance is enabled, integrating probabilistic analysis techniques to quantify variations and their effects on outputs. This helps in making informed decisions by providing insights into the sensitivity of designs to uncertain factors.

Seamless Integration

Integration with other Ansys or third party software solutions ensures compatibility and smooth interaction, allowing seamless transfer of data and models between optiSLang and other tools. This facilitates streamlined workflows and enhances productivity in engineering simulations and optimization processes.

Design of Experiments

Systematically varying input parameters to explore their effects on outputs using statistical methods is enabled, allowing efficient sampling and analysis of design scenarios to identify influential factors. This enhances understanding of design sensitivities and optimizes performance by determining effective configurations.

Sensitivity Analysis

Evaluating how variations in input parameters impact the outputs of engineering models is possible by systematically testing different parameter values to quantify their influence on key performance metrics, enabling efficient optimization.

Related Case Studies

Software

Product design optimization - results

FEA (Finite Element Analysis)

Software Sales

If you have any general questions about our Ansys, Moldex3D, Dante, Particleworks, or CF Turbo simulation software (quotation, licensing, training), please contact us using one of the following contact details. Please note that our software is only available to customers from the following countries: Hungary, Slovenia, Croatia, Serbia, Bosnia and Herzegovina, Montenegro, and Macedonia.

sales (at) econengineering.com

+36 1 279 0320

Greg Lipóczi, Dr.
Commercial Director
László Molnár, Ph.D.
Academic & Key Account Representative
Péter Bara
Key Account Manager

East Hungary

János Simon
Key Account Manager
West Hungary
Jasminko Strnad
Key Account Manager
Adria Region

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