Aerothermal Design and Metamodel-Assisted Optimization of High-Speed Drive Turbine
Abstract This work explores the development of a high-speed drive system for scaled-down electrified shockwave turboreactors tailored to the laboratory requirements of a small-scale demonstrator. With shockwave turboreactors operating at extremely high rotational speeds and elevated temperatures, a direct electric motor drive is not feasible due to thermal limitations. A drive-turbine is therefore proposed so that power can be provided to the shockwave turboreactor, adapted to the limitations that are particular for small-scale operation. A traditional design approach consisting of a preliminary 0D, 1D and detailed 3D design was conducted, incorporating design adjustments imposed by manufacturing constraints. The drive turbine was optimized using the in-house Computer-Aided Design Optimization (CADO) tool, using Metamodel-Assisted Evolutionary Algorithms (MAEA) to operate efficiently at lower mass flow rates while maintaining the required power. The optimized turbine achieved an 18.82% reduction in mass flow compared to the baseline. Stator blade modifications, necessitated by volute integration, improved power output by 11.7%. The optimized turbine stage was additively manufactured using Inconel-718. This work provided a robust framework for designing and manufacturing high-speed, high-temperature turbines to advance power-to-heat turboreactor technologies for the electrification of the energy-intensive process industry.
Authors
- Kevin M. Van Geem (ORCID: https://orcid.org/0000-0003-4191-4960)
- Johan Prinsier
- Tom Verstraete (ORCID: https://orcid.org/0000-0002-3819-2859)
- Ronald E. Johnson
- Mike Bonheure (ORCID: https://orcid.org/0000-0003-0721-3394)
- Mohamed Aissa (ORCID: https://orcid.org/0000-0003-3491-8453)
- Nikolaos Rafail Lotsios
Institutions
- Von Karman Institute for Fluid Dynamics (BE)
- Ghent University Hospital (BE)
Publication Details
- Published
- 2025-06-16
- DOI
- https://doi.org/10.1115/gt2025-153946
- Primary Topic
- Heat Transfer and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00