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Keywords: swirling flows
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Journal Articles

Global Stability and Forced Response Analysis of Swirling Flows in Aviation Combustors

Parth A. Patki, Benjamin L. Emerson, Timothy C. Lieuwen
Journal: Journal of Engineering for Gas Turbines and Power
Publisher: ASME
Article Type: Research-Article
J. Eng. Gas Turbines Power. January 2025, 147(1): 011003.
Paper No: GTP-24-1335
https://doi.org/10.1115/1.4066208
Published Online: September 6, 2024
...-mail:  tim.lieuwen@aerospace.gatech.edu 16 07 2024 30 07 2024 06 09 2024 hydrodynamic stability swirling flows flow forcing Federal Aviation Administration 10.13039/100006282 13-C-AJFE-GIT-058 Practical aviation combustor systems often use swirling flows...
View Article titled, Global Stability and Forced Response Analysis of <span class="search-highlight">Swirling</span> <span class="search-highlight">Flows</span> in Aviation Combustors
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Topics: Flow (Dynamics), Stability, Swirling flow, Transfer functions, Combustion chambers
Journal Articles

Tuning of Generalized K-Omega Turbulence Model by Using Adjoint Optimization and Machine Learning for Gas Turbine Combustor Applications

George Klavaris, Min Xu, Chris Hill, Florian Menter, Saurabh Patwardhan, Ishan Verma
Journal: Journal of Engineering for Gas Turbines and Power
Publisher: ASME
Article Type: Research-Article
J. Eng. Gas Turbines Power. August 2024, 146(8): 081014.
Paper No: GTP-23-1619
https://doi.org/10.1115/1.4064367
Published Online: February 26, 2024
... such as swirl accurately. In this study, the GEKO model is used for simulating RANS predictions of turbulence in a swirling flow scenario, whereas high-fidelity LES predictions serve as target data enabling field inversion via gradient-based optimization using the Adjoint solver in ansys fluent . Machine...
View Article titled, Tuning of Generalized K-Omega Turbulence Model by Using Adjoint Optimization and Machine Learning for Gas Turbine Combustor Applications
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Topics: Artificial neural networks, Flow (Dynamics), Gas turbines, Machine learning, Modeling, Optimization, Turbulence, Combustion chambers, Reynolds-averaged Navier–Stokes equations, Reynolds number
Journal Articles

Spatiotemporal Characterization of a Conical Swirler Flow Field Under Strong Forcing

A. Lacarelle, T. Faustmann, D. Greenblatt, C. O. Paschereit, O. Lehmann, D. M. Luchtenburg, B. R. Noack
Journal: Journal of Engineering for Gas Turbines and Power
Publisher: ASME
Article Type: Research Papers
J. Eng. Gas Turbines Power. May 2009, 131(3): 031504.
https://doi.org/10.1115/1.2982139
Published Online: February 6, 2009
... results give new insight into the flow dynamics of a swirling flow burner under strong forcing. As the PIV phase locked measurement showed that the structure is traveling downstream, only the sense of rotation (i.e., clockwise or counterclockwise rotation) determined at one axial position...
View Article titled, Spatiotemporal Characterization of a Conical Swirler Flow Field Under Strong Forcing
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Topics: Flow (Dynamics)