Simulation is becoming an integral part of our customers’ product development processes – and new horizons await. Integrating all CAx tools used to evaluate designs in automated simulation flows is one important step in the digitalization process. By combining different physics into a multidisciplinary approach, phenomena can be investigated more holistically and optimized to a greater degree. Additionally, simulation processes can be standardized and shared (democratized) across teams, allowing simulation novices to gain more direct access to simulation.
Time-consuming manual searches for the best and most robust design configuration can now be accelerated by adding state-of-the-art algorithms for design exploration, optimization, robustness and reliability analysis. Through the power of interactive visualization and artificial intelligence (AI) technologies, engineers and designers can gain a better understanding of their design and make the right decisions in less time.
The process integration and design optimization (PIDO) solution that enables all the above is Ansys optiSLang.
Ansys optiSLang consists of two main parts:
- Process integration — for simulation workflow building and process automation. It connects Ansys, third-party and in-house tools to automated simulation workflows. The graphical programming and the flexibility of connection, loop and condition setups help you to represent and manage your simulation processes. Open interfaces support integrated algorithms or solver nodes and publishing of PIDO flows to Ansys Minerva.
- Variation analysis — with a library of leading-edge design exploration algorithm packages, in an easy-to-use module that can be connected to process integration. It helps you to understand your design by automatically identifying relevant parameters. With optimization algorithms, in combination with powerful metamodeling technology, you can optimize your product, find the right parameters or drive a trade-of-study with minimal effort. Ansys optiSLang also delivers leading- edge algorithms for robustness and reliability evaluation, to be used for uncertainty quantification, design optimization or connection of functional optimization with cost and tolerance optimization.
The software offers an open architecture. You can add your own algorithms, as well as plug in customized process integration nodes to any kind of CAx tool.
With the power of parametric variation analysis used in virtual prototyping, you can achieve more optimal and robust products with less cost and in less time (versus trial-and-error approaches).