Thursday, February 27th, 2025 at 9AM and 4PM (GMT)
In this webinar, you will:
• Learn how the inverse design based parametrization enables creation of accurate machine learning models with small data sets.
• Discover the advantages of the new Reactive Response Surface model for creating accurate surrogate models with small data sets.
• Understand how the new automatic integration between TURBOdesign and Simcenter STAR-CCM+ ensures the rapid computation of key performance parameters.
Complete the short form to register for the webinar.
In today’s aerospace business, there are tougher requirements than ever before, and one must use the latest in simulation technology to meet those requirements as well as beat competition. This includes several components in the air as well as on the ground that can be improved. From the propulsion of the jet engine to fans for cooling electrical components and HVAC systems, to fuel and water pumps.
Machine learning and AI can play a major role in helping to achieve optimal design and increased productivity of turbomachinery applications, especially when it comes to hard to solve problems which mainly involve multi-objective, multi-point or multi-disciplinary optimization.
But application of machine learning (ML) in design optimization, where each data set evaluation is computationally very expensive, is only feasible if accurate ML models can be generated with very small data sets. To achieve this objective, three key areas need to be addressed:
In the TURBOdesign Suite 2024.2 release, all the above three functionalities were addressed by coupling 3D inverse design parameterization with unique functionalities of the new Reactive Response Surface (RRS) and automatic CFD integration with Simcenter STAR-CCM+, enabling an important foundation for application of machine learning in turbomachinery design.
In this webinar, we will show the application of the new RRS with automatic Simcenter STAR-CCM+ integration to multiple operating point optimization of a centrifugal pump impeller. We will show in the details the setting up of the case in 3D inverse design method and automatic CFD calculation in Simcenter STAR-CCM+ for multiple operating points.
Furthermore the set up of input parameters including meridional shape and blade loading parameters are described. The results of the optimization are presented and also the process of verification of the results and its accuracy is demonstrated.
The event addresses all engineers, developers or researchers dealing with Turbomachinery Design.
Founder & Managing Director of Advanced Design Technology
Director, Turbomachinery for Simulation & Test Solutions at Siemens Digital Industries Software
Chief Operating Officer at Advanced Design Technology
Senior Technical Product Manager, Simcenter Turbomachinery Applications at Siemens Digital Industries Software
80-86 Gray's Inn Road, London, WC1X 8NH
+44 (0) 20 7299 1178