Turbocharger Design, Selection, and System Level Optimization Utilizing GT-SUITE and AxSTREAM®
May 23rd, 2019 | Start Time 10:30 – 11:00 AM EDT
Turbochargers continue to strongly contribute to engine downsizing and efficiency trends. Using existing technology combined with new innovations, the limits of off-design conditions are being pushed like never before and with it, new requirements. When these requirements arise, two routes are typically taken. Engineers can choose to design the components/system from scratch or review what existing technology and hardware can be optimized. In both cases, having an integrated set of tools able to look at the overall system level while accurately modeling its components is crucial to ensure that design time and performances are optimal.
Through a new partnership between SoftInWay and Gamma Technologies, engineers can now utilize AxSTREAM®’s turbomachinery component and performance map solvers integrated with GT- SUITE’s system simulation software. This allows seamless integration of detailed compressor and turbine design and interactions with the full engine powertrain system. It also removes the headache of data transfer and conversion as well as speeds up the engineering process through automation and AI for quick and accurate results.
In this webinar, you will learn how to utilize GT-SUITE and AxSTREAM® to optimize design time and turbocharger performance. Topics include:
- Building reliable turbomachinery models from limited known data
- Creating and comparing multiple turbocharger performance maps/machines to achieve best overall engine performance
- Demonstration of design process from preliminary design to blade profiling, structural checks, etc.
- Complete turbocharged engine system optimization
Who should attend?
- Engineers and engineering managers from automotive OEMs who are evaluating new product concepts
- Existing AxSTREAM® and/or GT-SUITE users who develop or purchase turbocharger components
- Turbocharger/supercharger system and component designers interested in reverse engineering turbines and compressors from limited known data to then retrofit them for use in new applications