Empowering Engineering Workflows with PyOptiSLang - Python Automation with and for Ansys optiSLang

In this talk, we will delve into the integration of PyAnsys technology within Ansys optiSLang, with a focus on the newly introduced PyOptiSLang package. PyOptiSLang, as a part of the PyAnsys ecosystem, serves as a Python wrapper for Ansys optiSLang, enabling engineers to harness the power of Pythonic access to directly communicate with Ansys optiSLang from within Python. We will begin with an overview of PyAnsys technology and its integration in optiSLang, using PyFluent as a prime example. PyFluent allows users to interact with Ansys Fluent simulations using Python, providing seamless access to simulation data, models, and results. Building upon this foundation, we will introduce PyOptiSLang, which empowers engineers to effortlessly communicate with Ansys optiSLang directly from Python, unleashing a new era of efficiency and productivity in engineering workflows. During the presentation, we will dive into the core functionalities of PyOptiSLang and showcase how it simplifies intricate optimization workflows. In particular, we will highlight PyOptiSLang's ability to seamlessly generate workflows incorporating essential components such as Design of Experiment (DoE), Metamodel of Optimal Prognosis (MOP), and Optimization. Finally, PyOptiSLang opens up a myriad of optimization and predictive solution possibilities for our application engineers. By seamlessly integrating with the Ansys Solution Application Platform (SAF), it empowers subject matter experts to provide designers, who may not be simulation experts, with comprehensive access to the simulation and PIDO capabilities through web-based and scalable applications. We invite you to join us for this presentation, where we will introduce you to the new Ansys stack that enables the acceleration of product design.