1-8 of 8
Kwok Kai So
Close
Save search
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Proceedings Papers

Applicability of Volume of Fluid Method to Two-Phase Flow Turbomachinery Application

Christina Salpingidou, Kwok Kai So
Proc. ASME. GT2024, Volume 12C: Turbomachinery — Design Methods and CFD Modeling for Turbomachinery; Ducts, Noise, and Component Interactions, V12CT32A005, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-121558
https://doi.org/10.1115/GT2024-121558
View Paper titled, Applicability of Volume of Fluid Method to Two-Phase Flow Turbomachinery Application
Open the PDF for Applicability of Volume of Fluid Method to Two-Phase Flow Turbomachinery Application in another window
Topics: Computational fluid dynamics, Fluids, Turbomachinery, Two-phase flow
Proceedings Papers

Data-Driven Inverse Design Method for Turbomachinery

Kwok Kai So, Luis Salamanca, Firat Ozdemir, Fernando Perez-Cruz
Proc. ASME. GT2024, Volume 12D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Radial Turbomachinery Aerodynamics; Unsteady Flows in Turbomachinery, V12DT34A004, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-121752
https://doi.org/10.1115/GT2024-121752
View Paper titled, Data-Driven Inverse Design Method for Turbomachinery
Open the PDF for Data-Driven Inverse Design Method for Turbomachinery in another window
Topics: Design methodology, Turbomachinery, Design, Artificial neural networks, Optimization, Physics, Thrust bearings, Turbines
Journal Articles

Investigation of the Map Width Improvement in a Radially Reduced Diffuser Design Concept for a Centrifugal Compressor

Laura McLaughlin, Stephen Spence, Daniel Rusch, Charles Stuart, Marco Geron, Kwok Kai So, Magnus Fischer
Journal: Journal of Turbomachinery
Publisher: ASME
Article Type: Research Papers
J. Turbomach. November 2024, 146(11): 111001.
Paper No: TURBO-23-1125
https://doi.org/10.1115/1.4065373
Published Online: May 23, 2024
View Article titled, Investigation of the Map Width Improvement in a Radially Reduced Diffuser Design Concept for a Centrifugal Compressor
Open the PDF for Investigation of the Map Width Improvement in a Radially Reduced Diffuser Design Concept for a Centrifugal Compressor in another window
Topics: Compressors, Design, Diffusers, Flow (Dynamics), Pressure, Shapes
Proceedings Papers

A Numerical Investigation of the Design Point Performance for a Centrifugal Compressor With a Parameterized Volute

Laura McLaughlin, Charles Stuart, Stephen Spence, Daniel Rusch, Marco Geron, Kwok Kai So, Erich Kreiselmaier
Proc. ASME. GT2023, Volume 13D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Radial Turbomachinery Aerodynamics; Unsteady Flows in Turbomachinery, V13DT35A003, June 26–30, 2023
Publisher: American Society of Mechanical Engineers
Paper No: GT2023-101008
https://doi.org/10.1115/GT2023-101008
View Paper titled, A Numerical Investigation of the Design Point Performance for a Centrifugal Compressor With a Parameterized Volute
Open the PDF for A Numerical Investigation of the Design Point Performance for a Centrifugal Compressor With a Parameterized Volute in another window
Topics: Compressors, Design
Proceedings Papers

Investigation of the Map Width Improvement in a Radially Reduced Diffuser Design Concept for a Centrifugal Compressor

Laura McLaughlin, Stephen Spence, Daniel Rusch, Charles Stuart, Marco Geron, Kwok Kai So, Magnus Fischer
Proc. ASME. GT2022, Volume 10B: Turbomachinery — Axial Flow Turbine Aerodynamics; Deposition, Erosion, Fouling, and Icing; Radial Turbomachinery Aerodynamics, V10BT35A002, June 13–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: GT2022-78684
https://doi.org/10.1115/GT2022-78684
View Paper titled, Investigation of the Map Width Improvement in a Radially Reduced Diffuser Design Concept for a Centrifugal Compressor
Open the PDF for Investigation of the Map Width Improvement in a Radially Reduced Diffuser Design Concept for a Centrifugal Compressor in another window
Topics: Compressors, Computational fluid dynamics, Design, Diffusers
Proceedings Papers

Assessment of Low Engine Order Excitation of a Contaminated Turbocharger Radial Turbine Stage Using a Nozzle Ring Only Computational Model

Michaela R. Beierl, Damian M. Vogt, Magnus Fischer, Tobias R. Müller, Kwok Kai So
Proc. ASME. GT2022, Volume 10B: Turbomachinery — Axial Flow Turbine Aerodynamics; Deposition, Erosion, Fouling, and Icing; Radial Turbomachinery Aerodynamics, V10BT35A013, June 13–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: GT2022-82452
https://doi.org/10.1115/GT2022-82452
View Paper titled, Assessment of Low Engine Order Excitation of a Contaminated Turbocharger Radial Turbine Stage Using a Nozzle Ring Only Computational Model
Open the PDF for Assessment of Low Engine Order Excitation of a Contaminated Turbocharger Radial Turbine Stage Using a Nozzle Ring Only Computational Model in another window
Topics: Computer simulation, Engines, Excitation, Nozzles, Turbines, Turbochargers, High cycle fatigue, Blades, Combustion, Contamination
Proceedings Papers

Machine-Learning Assisted Optimization of Generalized K-Omega (GEKO) Turbulence Model Parameters for Turbocharger Radial Compressor

Patrick Amstad, Kwok Kai So, Magnus Fischer
Proc. ASME. GT2022, Volume 10D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Turbomachinery General Interest; Unsteady Flows in Turbomachinery, V10DT34A002, June 13–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: GT2022-78306
https://doi.org/10.1115/GT2022-78306
View Paper titled, Machine-Learning Assisted Optimization of Generalized K-Omega (GEKO) Turbulence Model Parameters for Turbocharger Radial Compressor
Open the PDF for Machine-Learning Assisted Optimization of Generalized K-Omega (GEKO) Turbulence Model Parameters for Turbocharger Radial Compressor in another window
Topics: Compressors, Machine learning, Optimization, Turbochargers, Turbulence, Artificial neural networks, Diffusers, Errors, Flow (Dynamics), Pressure
Journal Articles

Assessment of Low Engine Order Excitation of a Contaminated Turbocharger Radial Turbine Stage Using a Nozzle Ring Only Computational Model

Michaela R. Beierl, Damian M. Vogt, Magnus Fischer, Tobias R. Müller, Kwok Kai So
Journal: Journal of Turbomachinery
Publisher: ASME
Article Type: Research Papers
J. Turbomach. January 2023, 145(1): 011011.
Paper No: TURBO-22-1158
https://doi.org/10.1115/1.4055499
Published Online: October 7, 2022
View Article titled, Assessment of Low Engine Order Excitation of a Contaminated Turbocharger Radial Turbine Stage Using a Nozzle Ring Only Computational Model
Open the PDF for Assessment of Low Engine Order Excitation of a Contaminated Turbocharger Radial Turbine Stage Using a Nozzle Ring Only Computational Model in another window
Topics: Blades, Excitation, Nozzles, Turbines, Engines, Rotors, Computational fluid dynamics, Simulation, Turbochargers, Contamination