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Ansys optiSLang
Variation analysis & simulation orchestration 

Automatize your Simulation toolchain and connect to powerful algorithms of robust design optimization.  Address your future needs of parametric and simulation driven virtual product development with Ansys optiSLang.


Multidisciplinary process integration and orchestration of simulation workflows

Ansys optiSLang is a constantly evolving, leading-edge answer to the challenges posed by CAE-based Robust Design Optimization (RDO). Its state-of-the-art algorithms efficiently and automatically search for the most robust design configuration, eliminating the slow, manual process that used to define RDO. With optiSLang as your process integration and design optimization solution, you’ll make the right decisions sooner.

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    Process Automation
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    Optimization & Uncertainty Quantification
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    Design of Experiments & Sensitivity Analysis
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    Ansys Minerva Integration

Quick Specs

Accelerate searches for the best and most robust design configuration by automating the search process with interactive visualization and AI technologies. State-of-the-art algorithms for design exploration, optimization, robustness and reliability analysis let you make better decisions with less effort using design optimization software.

  • Process Automation
  • Robust Design
  • Reduced-Order Modeling
  • Simulation Workflow Building
  • Design of Experiments
  • CAx Connectors
  • Optimization
  • Model Calibration
  • Ansys Minerva Integration

Multi-Body Simulation of Truck Mountings on Rough Road Conditions

Ansys optiSLang enables a simulation of loads based on fast and cost-effective measurable signals for an efficient assessment of changes to the drivetrain configuration without the repetition of expensive driving tests.


Multi-Body Simulation of Truck Mountings on Rough Road Conditions

Ansys optiSLang enables a simulation of loads based on fast and cost-effective measurable signals for an efficient assessment of changes to the drivetrain configuration without the repetition of expensive driving tests.

optiSLang Applications

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optiSLang Case Studies

Streamline and automate your RDO process with leading-edge AI and interactive visualization

Ansys optiSLang is a process integration and design optimization solution that automates key aspects of the robust design optimization process. optiSLang connects multiple CAx tools and different physics into a holistic, multi-disciplinary approach to optimization. Additionally, it enables simulations processes to be standardized and shared, giving new hires and simulation novices more direct access to simulation. With this powerful toolset, your entire team of engineers and designers can gain a better, more complete understanding of their design and make the right decisions sooner.



Key Features

optiSLang supports integration with a variety of CAx programs and offers powerful RDO tools to gain critical insights faster

  • Process integration
  • Simulation workflows and process automation
  • Ansys Minerva integration
  • Design and data exploration
  • Reduced-order modeling
  • Design optimization and parameter identification
  • Robust design and reliability

Ansys optiSLang offers GUI-supported binary interfacing with major CAE tools used in virtual product development. Other tools can be connected via scripting, text-based interfaces or custom integrations. You get support for tools including CAD, CAE, scripting, desktop applications, repositories, databases and in-house solvers. With support for high-performance computing strategies, you can submit jobs using your queuing system or Ansys-provided submitting capabilities. Regardless of which environment you choose, optiSLang provides the same settings and dialogs.

Process automation and integration – as well as access to the best possible parametric simulation models – are the keys to successful CAE-based parametric studies. Our graphical user interface provides easy-to-understand charts and control panels that enable full access and traceability of the complete workflow. Established simulation processes and workflows capture best-practice knowledge. The software also allows for repetitive or pervasive tasks to be standardized and automated. With optiSLang’s ability to democratize simulation, even those unfamiliar with simulation can benefit.

To allow cooperation in multiphysical simulation and multidisciplinary optimization, the automation and publishing of workflows for several repetitive tasks, as well as simulation data management become essential, like:

  • Transfer of results of one discipline as input into the next step of operation
  • Post-processing steps, reports and result extraction
  • Model generation tasks
  • Variants comparison for finding an optimal design
  • Subsequent optimization runs with adapted constraints and objectives

A powerful solution to overcome these challenges is the combination of Ansys optiSLang and Ansys Minerva.

Simulation plays a big role in understanding products and processes, especially complex ones. Parameter-based variation analysis gives you insight into how your design behaves under variability. Multidisciplinary optimization tasks often require a huge number of variables and it can be difficult to know where to focus. optiSLang’s algorithms and correlation analysis automatically identify the most salient variables, reducing the number of design variables you have to worry about. The program’s sensitivity analysis also creates the basis to appropriately formulate the optimization task with respect to choice and number of objectives or possible constraints, helping you quickly zero in on the best approximation model.

Metamodels are surrogates that learn how response variability is connected to input variability from an underlying set of high-fidelity simulations or real-system data. The reduced-order metamodel takes fractions of a second to deliver the answer that a standard simulation might take hours or days to find. Ansys optiSLang metamodeling achieves these fast results by identifying the most important input variables, automatically identifying the metamodel with the best prognosis quality, quantifying the objective forecast quality of each response and then minimizing real solver runs by using the chosen metamodel as a surrogate. 

The optiSLang program determines the optimal design parameters for various multidisciplinary, non-linear and multicriteria optimization tasks. Based on the earlier steps of sensitivity analysis, optiSLang has already identified the most relevant parameters and can perform a pre-optimization on the chosen metamodel. Its wizard-based interface provides user guidance to recommend the optimizer from available algorithms such as gradient-based methods, adaptive response surface method and more, including custom optimization algorithms. You can even forward optimal design candidates from one loop to the next to streamline and standardize your work.

Similar to sensitivity analysis, robustness analysis identifies the most important scattering variables and offers a decision tree to select the most appropriate algorithms to verify robustness and reliability for your product or situation. This is key for designs that have to meet high safety or quality requirements with event probabilities of less than 1 out of 1,000. A reliability analysis can quantify the probability of exceeding a limit and prove it to be less than the accepted value. optiSLang’s powerful algorithms help ensure product quality, minimizing scrap, recall and the risk of legal action.


Resources & Events

optiSLang optimization

Robust Design Optimization using Ansys optiSlang

Learn how you can perform product development with high economic efficiency using Ansys optiSLang’s unique capabilities to conduct sensitivity analysis, multidisciplinary optimization, robustness evaluation, reliability analysis and signal calibration using various standard and in-house solvers.


Design Studies and Process Automation with Ansys optiSLang and Ansys Minerva, powered by Aras

Ansys optiSLang and Minerva help you capture, automate and deploy simulation more broadly across the enterprise.

Webinar Series
optiSLang webinar series

Orchestrate and Optimize Your Simulations with Ansys optiSLang

Ansys optiSLang Webinar Series

Each of these webinars will consider specific applications to demonstrate the core capabilities of Ansys optiSLang such as sensitivity analysis, design exploration, optimization, robustness, and reliability analysis in the context of various CAE tools.

Case Studies


Analysis of Low Cycle Fatigue Considering Geometric Manufacturing Tolerances: Ansys + SIEMENS

SIEMENS AG applies Ansys, Statistics on Structures and Ansys optiSLang for probabilistic analyses of geometric variations and their influence on the fatigue behavior of a gas turbine housing.


Best Practice, Best Product

For over 40 years, ANSYS has supplied bestin-class engineering software worldwide and currently supports the success of product development teams at more than 45,000 customer organizations.


Window of Opportunity

Robust design optimization ensures high-quality window mechanisms over a wide range of applications.


Practical application of CAE-based RDO in civil engineering: Ansys + HALFEN

Read this case study of the practical application of CAE-based RDO in civil engineering. 


Virtual Quality Assurance in the Digital Orthopaedic Workshop of the Future

The emerging field of virtual medical certification requires accurate and reliable FE-simulations in order to speed up the regulatory approval process of individualized prostheses and orthoses.


Robust optimization of continuously reinforced composites in the motorcycle industry: Ansys + KTM

At KTM, Statistics on Structures is used for the consideration of scattering production and material parameters to optimize the design phase of lightweight components used in the automotive and motorcycle industry.

White Papers & Articles


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Model Calibration of a Railway Vehicle

With the help of Ansys optiSlang, calibration of a numerical model of Alfa Pendular train, including the car body, bogies and passenger-seat system, was conducted based on the natural frequencies and modal configurations estimated from dynamic tests.


Safety of the Intended Functionality: How Ansys Can Help You Meet This New Standard for Autonomous Vehicles

While the new SOTIF standard requires a higher level of engineering, Ansys can help. With a full range of safety analysis and engineering simulation solutions, Ansys enables autonomous vehicle development teams to build flawless performance into their designs from the earliest stages ― and verify that performance before vehicles ever hit the road. 



Perform Efficient and Robust Design Optimization of Optical Systems

Robust design optimization starts with coupling CAE and measurement data to understand the design.

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