Products
Ansys optiSLang Process Integration & Design Optimization
Revolutionize product performance with cutting-edge mechanical simulation tools
Overview
BETTER PRODUCT IN LESS TIME Parametric Design Studies Made Easy
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.
- Process Automation
- Design of Experiments & Sensitivity Analysis
- Optimization & Uncertainty Quantification
- Ansys Minerva Integration
Features
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.
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Process Automation
Simulation Workflow Building
Optimization
Robust Design
Design of Experiments
Model Calibration
Reduced-Order Modeling
CAx Connectors
Ansys Minerva Integration
Licensing
Ansys optiSLang License
The Ansys optiSLang premium and enterprise licensing categories allow you to choose what fits your needs best. The premium offering will enable users access to a broad simulation workflow automation and optimization capabilities. Any user requires an enterprise license to build apps and conduct a much higher number of concurrent variations. The optiSLang AI+ add-on allows leveraging AI for metamodeling, and can be added to the Pro, Premium or Enterprise packages.
Mechanical Pro
Mechanical Premium
Mechanical Enterprise
AI+
Design Studies
Classic DOE
Sampling & Sensitivity Analysis
Robust Design Optimization
Classic scalar meta-modeling
Reliability Analysis
UQ for signals, 2D/3D
Process Integration and Workflow Orchestration
Embedded in Ansys + LS-OPT*
Build and automate workflows
Integrate 3rd party tools
App generation
Advanced Meta Modeling
Field meta-modeling (signals, 2D/3D)
Advanced meta-modeling for scalars
Concurrent Solver Variant Licensing
Solver variations for parametric design study
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Capabilities
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.
Capabilities
Key Features
OptiSLang supports integration with a variety of CAx programs and offers powerful RDO tools to gain critical insights faster
Orchestrate and Automate
Orchestrate and Automate
Understand and Optimize
Understand and Optimize Equip your engineers with tools that help improve product designs beyond what human brains can perceive. This could mean tweaking several hundred design parameters, figuring out the parameter subset that makes a huge impact on product performance and optimizing the design.
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 must 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.
Reduced Order Modeling — Ansys optiSLang builds metamodels for rapid feedback and robust design analysis in a fraction of the time it would take to run a simulation to predict a certain design.
Design optimization and parameter identification — Ansys optiSLang’s powerful algorithms and automated workflows build on earlier steps of sensitivity analysis to provide a wizard-driven decision tree to recommend the optimizer with default settings.
optiSLang AI+ — Empowers simulation users with advanced machine learning methods for sensitivity analysis, optimization, and robust design. A more efficient approach offering higher quality prediction of CAE results gives engineers a better understanding of the causal relationship between design parameters and product performance. Design better products in less time.
Ansys Minerva Integrationl
Ansys Minerva Integrationl One of the major challenges of today’s CAE engineers is the increasing complexity of processes while results have to be delivered in shorter times. At the same time, within the engineering process, multiple disciplines like NVH, thermal-mechanical-electrical analyses, safety evaluation, tolerance management and costs have to be considered. Improving one discipline could require a compromise in others.
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.
Evaluate Robustness
Evaluate Robustness Quantify and minimize the uncertainty of risk going from simulation to real-world production when it comes to unexpected manufacturing tolerances and other real-world environmental factors.
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 must 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.
Robust Design and Reliability
Robust Design and Reliability Product performance is often subject to scattering properties due to manufacturing tolerances, material scatter and other stochastic effects. Stochastic analysis and statistical methods like optiSLang’s are key to ensuring product quality.
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.
Design Optimization And Parameter Identification (Calibration)
Design Optimization And Parameter Identification (Calibration) Ansys optiSLang’s powerful algorithms and automated workflows build on the earlier steps of sensitivity analysis to provide a wizard-driven decision tree to recommend the optimizer with default setting.
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.
Robust Design and Reliability
Robust Design and Reliability Product performance is often subject to scattering properties due to manufacturing tolerances, material scatter and other stochastic effects. Stochastic analysis and statistical methods like optiSLang’s are key to ensuring product quality.
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.
Visioneering
Recent Events & Webinars
Discover how engineering simulation is expanding across the entire product lifecycle.
Ansys Multiphysics
Conference
Join us on Saturday, June 10th, 2023, at 3 PM. The event will take place at Riverside Park, 123 River Lane, Springfield.
Blog
Future Tech Expo 2025
Join us on Saturday, June 10th, 2023, at 3 PM. The event will take place at Riverside Park, 123 River Lane, Springfield.
Blog
Innovative Simulations
Summit 2025
Join us on Saturday, June 10th, 2023, at 3 PM. The event will take place at Riverside Park, 123 River Lane, Springfield.
Innovative Simulations
Summit 2025
Join us on Saturday, June 10th, 2023, at 3 PM. The event will take place at Riverside Park, 123 River Lane, Springfield.
Ansys Multiphysics
Conference
Join us on Saturday, June 10th, 2023, at 3 PM. The event will take place at Riverside Park, 123 River Lane, Springfield.
Blog
Innovative Simulations
Summit 2025
Join us on Saturday, June 10th, 2023, at 3 PM. The event will take place at Riverside Park, 123 River Lane, Springfield.
Visioneering
Blogs & Trends
Discover how engineering simulation is expanding across the entire product lifecycle. engineering / product design analysis by modeling & simulation.

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Innovate
Breaking News & White Paper
Discover how engineering simulation is expanding across the entire product lifecycle.
Smart Strategies for Large Structural Simulations
One way to gauge the progress of engineering simulation software is through the lens of size. Engineers today routinely run structural simulations with a few million degrees of freedom, and the largest commercial structural simulations have topped even 100 million degrees of freedom.
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Introduction Mi tincidunt elit, id quisque ligula ac diam, amet. Vel etiam suspendisse morbi eleifend faucibus eget vestibulum felis. Dictum quis montes, sit sit. Tellus
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Studies
Case
Explore Case Studies
Qantur Technologies is a pioneer engineering simulations company based in Gurgaon –India. We provides expert Computer Aided Engineering – CAE consulting services for engineering / product design analysis by modeling & simulation.
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