Ansys optiSLang
Process Integration & Design Optimization

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.

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.

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.