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Proceedings Papers

Analysis of the Condensation Phenomena Within the Radial Turbine of a Fuel Cell Turbocharger

Tim Wittmann, Sebastian Lück, Jens Friedrichs, Piotr Wiśniewski, Sławomir Dykas

Proc. ASME. GT2022, Volume 10B: Turbomachinery — Axial Flow Turbine Aerodynamics; Deposition, Erosion, Fouling, and Icing; Radial Turbomachinery Aerodynamics, V10BT35A010, June 13–17, 2022

Paper No: GT2022-82279

DOI: https://doi.org/10.1115/GT2022-82279

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Topics: Condensation, Fuel cells, Turbines, Turbochargers, Compressors, Exhaust systems, Rotors, Aerodynamics, Annulus, Compressed air

Proceedings Papers

Impact of Compressor and Turbine Operating Range Extension on the Performance of an Electric Turbocharger for Fuel Cell Applications

Sebastian Lück, Markus Schödel, Marco Menze, Jan Göing, Jörg R. Seume, Jens Friedrichs

Proc. ASME. GT2022, Volume 7: Industrial and Cogeneration; Manufacturing Materials and Metallurgy; Microturbines, Turbochargers, and Small Turbomachines; Oil & Gas Applications, V007T18A020, June 13–17, 2022

Paper No: GT2022-82974

DOI: https://doi.org/10.1115/GT2022-82974

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Topics: Compressors, Fuel cell applications, Turbines, Turbochargers, Transients (Dynamics), Diffusers, Nozzles, Surges, Geometry, Machinery

Proceedings Papers

Aerodynamic Damping of Composite UHBR Fans Under the Consideration of Acoustic Intake Reflections

Jan Gößling, Joerg R. Seume, Jan Peter Flüh, Nicola Paletta, Torben Eggers, Jens Friedrichs, Nunzio Natale

Proc. ASME. GT2022, Volume 8A: Structures and Dynamics — Aerodynamics Excitation and Damping; Bearing and Seal Dynamics; Emerging Methods in Engineering Design, Analysis, and Additive Manufacturing; Fatigue, Fracture, and Life Prediction, V08AT21A008, June 13–17, 2022

Paper No: GT2022-81777

DOI: https://doi.org/10.1115/GT2022-81777

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Topics: Acoustics, Composite materials, Damping, Fans, Reflection, Blades, Engines, Fibers, Rotors, Stiffness

Proceedings Papers

Quantifying Model Uncertainties and Sensitivities in Parallel Compressor Models

Jonas Voigt, Keith-Noah Jurke, Julius Schultz, Ulrich Römer, Jens Friedrichs

Proc. ASME. GT2021, Volume 2D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Radial Turbomachinery Aerodynamics; Unsteady Flows in Turbomachinery, V02DT36A010, June 7–11, 2021

Paper No: GT2021-59373

DOI: https://doi.org/10.1115/GT2021-59373

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Topics: Compressors, Uncertainty, Modeling, Errors, Inflow, Computational fluid dynamics, Engineering simulation, Sampling methods, Sensitivity analysis, Simulation

Proceedings Papers

Sensitivity Analysis of an Aircraft Engine Model Under Consideration of Dependent Variables

Julian Salomon, Jan Göing, Sebastian Lück, Matteo Broggi, Jens Friedrichs, Michael Beer

Proc. ASME. GT2021, Volume 1: Aircraft Engine; Fans and Blowers; Marine; Wind Energy; Scholar Lecture, V001T01A005, June 7–11, 2021

Paper No: GT2021-58905

DOI: https://doi.org/10.1115/GT2021-58905

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Topics: Aircraft engines, Sensitivity analysis, Engines, Turbofans

Proceedings Papers

Composite UHBR Fan for Forced Response and Flutter Investigations

Torben Eggers, Jens Friedrichs, Jan Goessling, Joerg R. Seume, Nunzio Natale, Jan Peter Flüh, Nicola Paletta

Proc. ASME. GT2021, Volume 2A: Turbomachinery — Axial Flow Fan and Compressor Aerodynamics, V02AT31A021, June 7–11, 2021

Paper No: GT2021-58941

DOI: https://doi.org/10.1115/GT2021-58941

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Topics: Composite materials, Flutter (Aerodynamics), Blades, Design, Computer simulation, Rotors, Wind tunnels

Proceedings Papers

Influence of Roughness on the Transition Modeling in Compressor Flows

Vera Tolksdorf, Anubhav Gokhale, Daniel Kessler, Leroy Benjamin, Christoph Bode, Jens Friedrichs

Proc. ASME. GT2021, Volume 2C: Turbomachinery — Design Methods and CFD Modeling for Turbomachinery; Ducts, Noise, and Component Interactions, V02CT34A039, June 7–11, 2021

Paper No: GT2021-60003

DOI: https://doi.org/10.1115/GT2021-60003

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Topics: Compressors, Flow (Dynamics), Modeling, Surface roughness, Engines, Turbulence, Boundary layers, Reynolds-averaged Navier–Stokes equations, Rotors, Airfoils

Proceedings Papers

The Influence of Condensation on the Performance Map of a Fuel Cell Turbocharger Turbine

Tim Wittmann, Sebastian Lück, Tim Hertwig, Christoph Bode, Jens Friedrichs

Proc. ASME. GT2021, Volume 6: Ceramics and Ceramic Composites; Coal, Biomass, Hydrogen, and Alternative Fuels; Microturbines, Turbochargers, and Small Turbomachines, V006T19A001, June 7–11, 2021

Paper No: GT2021-58472

DOI: https://doi.org/10.1115/GT2021-58472

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Topics: Condensation, Fuel cells, Turbines, Turbochargers, Pressure, Drops, Inflow, Nucleation (Physics), Aerodynamics, Exhaust systems

Journal Articles

The Feasibility of an Euler–Lagrange Approach for the Modeling of Wet Steam

Tim Wittmann, Christoph Bode, Jens Friedrichs

J. Eng. Gas Turbines Power. April 2021, 143(4): 041004.

Paper No: GTP-20-1713

DOI: https://doi.org/10.1115/1.4049859

Published Online: February 22, 2021

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Topics: Condensation, Drops, Flow (Dynamics), Modeling, Nozzles, Nucleation (Physics), Steam, Vapors

Proceedings Papers

The Feasibility of an Euler-Lagrange Approach for the Modelling of Wet Steam

Tim Wittmann, Christoph Bode, Jens Friedrichs

Proc. ASME. GT2020, Volume 2C: Turbomachinery, V02CT35A053, September 21–25, 2020

Paper No: GT2020-16199

DOI: https://doi.org/10.1115/GT2020-16199

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Topics: Modeling, Steam, Nucleation (Physics), Condensation, Flow (Dynamics), Nozzles, Drops, Turbines

Proceedings Papers

Pseudo Bond Graph System Modelling of Electric Air Compressors With Energy Recovery for Fuel Cell Applications

Sebastian Lück, Jan Göing, Christoph Bode, Jens Friedrichs

Proc. ASME. GT2020, Volume 8: Industrial and Cogeneration; Manufacturing Materials and Metallurgy; Marine; Microturbines, Turbochargers, and Small Turbomachines, V008T20A015, September 21–25, 2020

Paper No: GT2020-15029

DOI: https://doi.org/10.1115/GT2020-15029

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Topics: Air compressors, Energy recovery, Fuel cell applications, Modeling, Simulation, Transients (Dynamics), Compressibility, Fluids, Inertia (Mechanics), Machinery

Proceedings Papers

Performance Simulation of Roughness Induced Module Variations of a Jet Propulsion by Using Pseudo Bond Graph Theory

Jan Göing, Christoph Bode, Jens Friedrichs, Hendrik Seehausen, Florian Herbst, Joerg R. Seume

Proc. ASME. GT2020, Volume 1: Aircraft Engine; Fans and Blowers, V001T01A014, September 21–25, 2020

Paper No: GT2020-14456

DOI: https://doi.org/10.1115/GT2020-14456

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Topics: Jet propulsion, Simulation, Surface roughness, Transients (Dynamics), Computational fluid dynamics, Engines, Jet engines, Blades, Compressors, Differential equations

Proceedings Papers

Aerodynamic Design and Assessment of a Compact, Single Stage Axial Fan for Low Noise Emission

Daniel Kessler, Daniel Giesecke, Jens Friedrichs, Jörg Leuschner

Proc. ASME. AJKFluids2019, Volume 3B: Fluid Applications and Systems, V03BT03A071, July 28–August 1, 2019

Paper No: AJKFluids2019-5070

DOI: https://doi.org/10.1115/AJKFluids2019-5070

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Topics: Design, Emissions, Noise (Sound), Acoustics, Construction, Cooling systems, Locomotives, Pressure, Approximation, Blades

Proceedings Papers

Operational Performance and Locally Resolved Outflow of Brush Seals

Fabian Schur, Jens Friedrichs

Proc. ASME. AJKFluids2019, Volume 3B: Fluid Applications and Systems, V03BT03A063, July 28–August 1, 2019

Paper No: AJKFluids2019-4877

DOI: https://doi.org/10.1115/AJKFluids2019-4877

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Topics: Design, Flow (Dynamics), Jet engines, Leakage, Outflow, Pressure, Rotors, Sealing (Process), Steam turbines, Wear

Proceedings Papers

Jet Propulsion Engine Modelling Using Pseudo Bond Graph Approach

Jan Göing, Andreas Kellersmann, Christoph Bode, Jens Friedrichs

Proc. ASME. GT2019, Volume 1: Aircraft Engine; Fans and Blowers; Marine; Honors and Awards, V001T01A007, June 17–21, 2019

Paper No: GT2019-90420

DOI: https://doi.org/10.1115/GT2019-90420

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Topics: Engines, Jet propulsion, Modeling, Transients (Dynamics), Computer software, Jet engines, Stress, Construction, Simulation, Steady state

Proceedings Papers

Aerodynamic Comparison Between Circumferential and Wing-Embedded Inlet Distortion for an Ultra-High Bypass Ratio Fan Stage

Daniel Giesecke, Jens Friedrichs

Proc. ASME. GT2019, Volume 2A: Turbomachinery, V02AT39A007, June 17–21, 2019

Paper No: GT2019-90425

DOI: https://doi.org/10.1115/GT2019-90425

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Topics: Wings, Aircraft, Engines, Flow (Dynamics), Inflow, Pressure, Boundary layers, Aircraft engines, Annulus, Boundary-value problems

Proceedings Papers

Reducing Compressor Shroud Leakage Flows by Raising the Stator Hub Line: Low Speed Tests

Henner Schrapp, Arne Dodegge, Volker Gümmer, Neil W. Harvey, Jörn Städing, Jens Friedrichs

Proc. ASME. GT2019, Volume 2A: Turbomachinery, V02AT39A032, June 17–21, 2019

Paper No: GT2019-91611

DOI: https://doi.org/10.1115/GT2019-91611

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Topics: Compressors, Leakage flows, Stators, Pressure, Flow (Dynamics), Cavities, Design, Wind, Annulus, Boundary layers

Proceedings Papers

Accuracy Assessment of Steady and Unsteady Multistage High Pressure Compressor Simulations

Sebastian Lück, Stefan Kuntzagk, Guido Doebbener, Andreas Kellersmann, Christoph Bode, Jens Friedrichs

Proc. ASME. GT2019, Volume 2A: Turbomachinery, V02AT39A026, June 17–21, 2019

Paper No: GT2019-91310

DOI: https://doi.org/10.1115/GT2019-91310

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Topics: Compressors, High pressure (Physics), Simulation, Computational fluid dynamics, Steady state, Engines, Reynolds-averaged Navier–Stokes equations, Stators, Aircraft, Computer simulation

Proceedings Papers

Pressure Distributions Below Brush Seals at Varying Operating Conditions

Fabian Schur, Jens Friedrichs, Johan Flegler, Christos Georgakis, Thomas Polklas

Proc. ASME. GT2018, Volume 5B: Heat Transfer, V05BT15A024, June 11–15, 2018

Paper No: GT2018-76194

DOI: https://doi.org/10.1115/GT2018-76194

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Topics: Pressure, Flow (Dynamics), Design, Leakage, Manufacturing, Modeling, Optical measurement, Resolution (Optics), Rotors, Sealing (Process)

Proceedings Papers

A Machine Learning Based Approach of Performance Estimation for High-Pressure Compressor Airfoils

Jonas Marx, Stefan Gantner, Jörn Städing, Jens Friedrichs

Proc. ASME. GT2018, Volume 2D: Turbomachinery, V02DT46A004, June 11–15, 2018

Paper No: GT2018-75372

DOI: https://doi.org/10.1115/GT2018-75372

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Topics: Airfoils, Compressors, High pressure (Physics), Machine learning, Geometry, Maintenance, Algorithms, Optimization, Probability, Rotors

Journal citation

NARROW

Analysis of the Condensation Phenomena Within the Radial Turbine of a Fuel Cell Turbocharger

Impact of Compressor and Turbine Operating Range Extension on the Performance of an Electric Turbocharger for Fuel Cell Applications

Aerodynamic Damping of Composite UHBR Fans Under the Consideration of Acoustic Intake Reflections

Quantifying Model Uncertainties and Sensitivities in Parallel Compressor Models

Sensitivity Analysis of an Aircraft Engine Model Under Consideration of Dependent Variables

Composite UHBR Fan for Forced Response and Flutter Investigations

Influence of Roughness on the Transition Modeling in Compressor Flows

The Influence of Condensation on the Performance Map of a Fuel Cell Turbocharger Turbine

The Feasibility of an Euler–Lagrange Approach for the Modeling of Wet Steam

The Feasibility of an Euler-Lagrange Approach for the Modelling of Wet Steam

Pseudo Bond Graph System Modelling of Electric Air Compressors With Energy Recovery for Fuel Cell Applications

Performance Simulation of Roughness Induced Module Variations of a Jet Propulsion by Using Pseudo Bond Graph Theory

Aerodynamic Design and Assessment of a Compact, Single Stage Axial Fan for Low Noise Emission

Operational Performance and Locally Resolved Outflow of Brush Seals

Jet Propulsion Engine Modelling Using Pseudo Bond Graph Approach

Aerodynamic Comparison Between Circumferential and Wing-Embedded Inlet Distortion for an Ultra-High Bypass Ratio Fan Stage

Reducing Compressor Shroud Leakage Flows by Raising the Stator Hub Line: Low Speed Tests

Accuracy Assessment of Steady and Unsteady Multistage High Pressure Compressor Simulations

Pressure Distributions Below Brush Seals at Varying Operating Conditions

A Machine Learning Based Approach of Performance Estimation for High-Pressure Compressor Airfoils

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