Volumes | Turbo Expo: Power for Land, Sea, and Air | American Society of Mechanical Engineers Digital Collection

Topics: Accuracy and precision , Aircraft , Algorithms , Approximation , Cavities , Compressors , Design , Electromagnetic scattering , Flow (Dynamics) , Geometry

Controller Design for Acceleration and Deceleration of a Turbofan Aircraft Engine

Jian Zhou, Changkun Xin

GT 2020; V001T01A012doi:https://doi.org/10.1115/GT2020-14409

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Topics: Aircraft engines , Control equipment , Design , Robustness , Turbofans

Theoretical Assessment of Turbocharged Pulse Detonation Engine Performance at Various Flight Conditions

Pereddy Nageswara Reddy

GT 2020; V001T01A013doi:https://doi.org/10.1115/GT2020-14451

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Topics: Engines , Explosions , Flight , Impulse (Physics) , Thrust , Turbochargers

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

GT 2020; V001T01A014doi: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

Robust Aerodynamic Design of Nacelles for Future Civil Aero-Engines

B. Deneys J. Schreiner, Fernando Tejero, David G. MacManus, Christopher Sheaf

GT 2020; V001T01A015doi:https://doi.org/10.1115/GT2020-14470

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Topics: Aircraft engines , Design , Engines , Flight , Pareto optimization , Aviation , Cycles , Design methodology , Drag (Fluid dynamics) , Emissions

Open Rotor Engine Cycle Modeling and Performance Assessment

Ziyu Zhang, Li Zhou, Xiaobo Zhang, Zhanxue Wang

GT 2020; V001T01A016doi:https://doi.org/10.1115/GT2020-14563

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Topics: Cycles , Engines , Modeling , Rotors

The Influence of Aerodynamic/Geometric Parameters on the Performance of the TBCC Ejector Nozzle

Yuming Yang, Li Zhou, Jingwei Shi

GT 2020; V001T01A017doi:https://doi.org/10.1115/GT2020-14568

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Topics: Ejectors , Flow (Dynamics) , Nozzles

Aerodynamic Performance Prediction of Transonic Axial Multistage Compressors Based on One-Dimensional Meanline Method

Yingying Zhang, Shijie Zhang, Yunhan Xiao

GT 2020; V001T01A018doi:https://doi.org/10.1115/GT2020-14571

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Topics: Compressors

Towards Primary Breakup Simulation of a Complete Aircraft Nozzle at Realistic Aircraft Conditions

Katharina Warncke, Amsini Sadiki, Max Staufer, Christian Hasse, Johannes Janicka

GT 2020; V001T01A019doi:https://doi.org/10.1115/GT2020-14597

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Topics: Aircraft , Aircraft engines , Nozzles , Simulation , Flow (Dynamics) , Fuels , Turbulence , Computer simulation , Sprays , Air flow

Mechanical Design in an Interdisciplinary Predesign Tool

Christina Salpingidou, Reinhold Schaber, Hermann Klingels, Peter Geiger

GT 2020; V001T01A020doi:https://doi.org/10.1115/GT2020-14633

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Topics: Design engineering

Physics-Based Thermal Model for Power Gearboxes in Geared Turbofan Engines

Soheil Jafari, Theoklis Nikolaidis, Albert S. J. van Heerden, Craig P. Lawson, David Bosak

GT 2020; V001T01A021doi:https://doi.org/10.1115/GT2020-14637

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Topics: Engines , Physics , Turbofans , Flight , Stress , Heat losses , Waste heat , Fuels , Aircraft engines , Emissions

A Machine-Learning Approach to Assess Aircraft Engine System Performance

Michael T. Tong

GT 2020; V001T01A022doi:https://doi.org/10.1115/GT2020-14661

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Topics: Aircraft engines , Machine learning

Analytical Model for the Heat Transfer in Impingement Cooled Spur Gears

Christian Kromer, Felix C. von Plehwe, Marc C. Keller, Corina Schwitzke, Hans-Jörg Bauer

GT 2020; V001T01A023doi:https://doi.org/10.1115/GT2020-14760

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Topics: Heat transfer , Spur gears , Gear teeth , Gear trains , Heat , Impingement cooling , Jet engines , Pressure , Turbines , Turbofans

Research on Dynamic Characteristics and Control Method of Propelling Nozzle Based on MATLAB/AMESim Integrated Simulation

Zhitao Wang, Shuoshuo Liu, Tielei Li, Shuying Li

GT 2020; V001T01A024doi:https://doi.org/10.1115/GT2020-15119

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Topics: Matlab , Nozzles , Simulation

Numerical Investigation Into Fully and Partially Wetted Disk Geometries With Relevance to Intershaft Hydraulic Seals

Achinie Warusevitane, Kathy Johnson, Stephen Ambrose, Mike Walsh, Colin Young

GT 2020; V001T01A025doi:https://doi.org/10.1115/GT2020-15121

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Topics: Disks , Flow (Dynamics) , Annulus , Bearings , Fluids , Rotating disks , Aircraft engines , Computational fluid dynamics , Engines , Industrial research

Experimental Drag and Mixing From Lobed Nozzles Under High Swirl Conditions From a Ducted Fan

Maverick Zawislak, Michael Birk

GT 2020; V001T01A026doi:https://doi.org/10.1115/GT2020-15211

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Topics: Drag (Fluid dynamics) , Nozzles , Vorticity , Thrust , Flow (Dynamics) , Vortices , Computational fluid dynamics , Design methodology , Cooling , Design

Application of Model Based Systems Engineering for the Conceptual Design of a Hybrid-Electric ATR 42-500: From System Architecting to System Simulation

Federico Cappuzzo, Olivier Broca, Stavros Vouros, Ioannis Roumeliotis, Calum Scullion

GT 2020; V001T01A027doi:https://doi.org/10.1115/GT2020-15329

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Topics: Aircraft , Conceptual design , Simulation , Systems engineering

Operating Characteristics of an Electrically Assisted Turbofan Engine

Merijn Rembrandt van Holsteijn, Arvind Gangoli Rao, Feijia Yin

GT 2020; V001T01A028doi:https://doi.org/10.1115/GT2020-15355

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Topics: Engines , Turbofans , Propulsion systems , Aircraft , Aviation , Compressors , Electric motors , Electric propulsion , Flight , Fuels

Life Cycle Analysis for a Powertrain in a Concept for Electric Power Generation in a Hybrid Electric Aircraft

Michael Schneider, Jens Dickhoff, Karsten Kusterer, Wilfried Visser

GT 2020; V001T01A029doi:https://doi.org/10.1115/GT2020-15518

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Topics: Aircraft , Electric power generation , Electric propulsion , Gas turbines , Life cycle assessment , Propulsion , Propulsion systems , Simulation , Aircraft engines , Aviation

Low Fidelity, Numerical Simulation of Gas Turbine Propulsion Across Off Design Conditions

Mark John De Luca, Ian J. Taylor

GT 2020; V001T01A030doi:https://doi.org/10.1115/GT2020-15576

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Topics: Computer simulation , Design , Gas turbines , Propulsion , Engines , Modeling , Simulation , Space vehicles

Non-Circular and Non-Cylindrical Streamvanes

John Gillespie, K. Todd Lowe

GT 2020; V001T01A031doi:https://doi.org/10.1115/GT2020-15763

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Topics: Aircraft , Computational fluid dynamics , Conceptual design , Diffusers , Ducts , Engines , Errors , Flight , Flow (Dynamics) , Geometry

Investigation on Influence Mechanism of Wall Coating on Infrared Radiation Signature of Serpentine Nozzle

Jie Shi, Li Zhou, Zhanxue Wang, Jingwei Shi

GT 2020; V001T01A032doi:https://doi.org/10.1115/GT2020-15774

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Topics: Coating processes , Coatings , Infrared radiation , Nozzles

Development of an Integrated Procedure for Combustor Aero-Thermal Preliminary Design

Carlo Alberto Elmi, Fabio Agnolio, Roberto Ferraro, Anne Menard, Hauke Reese, Antonio Andreini

GT 2020; V001T01A033doi:https://doi.org/10.1115/GT2020-16003

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Topics: Combustion chambers , Design

Creation of Models of Fan Blades According to Airfoil Measurements

Alexandr N. Arkhipov, Yury A. Ravikovich, Dmitry P. Kholobtsev

GT 2020; V001T01A034doi:https://doi.org/10.1115/GT2020-16039

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Topics: Airfoils , Blades , Construction , Geometry

Full Flight Envelope Transient Main Control Loop Design Based on LMI Optimization

Keqiang Miao, Xi Wang, Meiyin Zhu

GT 2020; V001T01A035doi:https://doi.org/10.1115/GT2020-16048

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Topics: Design , Flight , Optimization , Transients (Dynamics) , Engines , Turbofans , Design methodology , Stability , Engineering simulation , Linear matrix inequalities

Scavenge Performance of an Optimized Shallow Sump at Various Flow Conditions

Budi Chandra, Kathy Johnson

GT 2020; V001T01A036doi:https://doi.org/10.1115/GT2020-16049

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Topics: Bearings , Flow (Dynamics) , Engines , Drops , Gas turbines , Geometry , Aircraft engines , Design , Rotation , Volume measurement

Methodology for Simulation of Soak-Back in a Helicopter Engine Bay Using Lattice Boltzmann Method

Benoît Bonnal, Emmanuel Vanoli, Amélie Placko, Sébastien Combébias

GT 2020; V001T01A037doi:https://doi.org/10.1115/GT2020-16096

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Topics: Engines , Lattice Boltzmann methods , Simulation , Flow (Dynamics) , Reynolds-averaged Navier–Stokes equations , Fluids , Temperature , Computational fluid dynamics , Durability , Failure

Development, Analysis, and Validation of a Simultaneous Inlet Total Pressure and Swirl Distortion Generator

Dustin J. Frohnapfel, K. Todd Lowe, Walter F. O’Brien

GT 2020; V001T01A038doi:https://doi.org/10.1115/GT2020-16125

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Topics: Generators , Pressure , Turbofans

User Assistance for the Application of Multidisciplinary Design Tools

Reinhold Schaber, Sascha Kaiser, Gionata Luisoni

GT 2020; V001T01A039doi:https://doi.org/10.1115/GT2020-16171

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Topics: Design , Propulsion systems

Analysis of Ignition Processes at Combustors for Aero Engines at High Altitude Conditions With and Without Effusion Cooling

Alexios-Dionysios Martinos, Nikolaos Zarzalis, Stefan-Raphael Harth

GT 2020; V001T01A040doi:https://doi.org/10.1115/GT2020-16173

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Topics: Aircraft engines , Combustion chambers , Cooling , Ignition , Fuels , Pressure , Flames , Temperature , Commercial air transport , Design

On-Line Component Map Adaptive Procedure Based on Sensor Data

Xuesen Yang, Xiaofeng Guo, Wei Dong

GT 2020; V001T01A041doi:https://doi.org/10.1115/GT2020-16242

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Topics: Sensors , Gas turbines , Optimization , Energy generation , Engines , Noise (Sound) , Simulation

An Improved Reverse Monte Carlo Method for the Investigation of Aerodynamic and Infrared Radiation Characteristics of a Flying Wing UAV

Xiang Gao, Qingzhen Yang, Huicheng Yang, Jin Bai, Yubo He

GT 2020; V001T01A042doi:https://doi.org/10.1115/GT2020-16246

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Topics: Infrared radiation , Monte Carlo methods , Nozzles , Ray tracing , Unmanned aerial vehicles , Wings

Study on the Influence of Film Cooling on the Flow Field and Infrared Radiation Characteristics in the Divergent Section of a Nozzle

Haoqi Yang, Qingzhen Yang, Saile Zhang, Huicheng Yang, Yubo He

GT 2020; V001T01A043doi:https://doi.org/10.1115/GT2020-16247

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Topics: Film cooling , Flow (Dynamics) , Infrared radiation , Nozzles

A Study of Two Variable Cycle Engine Concepts for High Speed Civil Aircraft

Jiyuan Zhang, Min Chen, Hailong Tang, Xin Liu

GT 2020; V001T01A044doi:https://doi.org/10.1115/GT2020-16248

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Topics: Aircraft , Cycles , Design , Engines

Optimal Control of a Compound Rotorcraft for Engine Performance Enhancement

Calum Scullion, Stavros Vouros, Ioannis Goulos, Devaiah Nalianda, Vassilios Pachidis

GT 2020; V001T01A045doi:https://doi.org/10.1115/GT2020-16280

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Topics: Design , Engines , Optimal control , Rotors , Flight , Fuels , Aerodynamics , Aerospace industry , Combustion chambers , Control systems

Fans and Blowers

Blade Surface Pressure Measurements on a Low Pressure Rise Axial Flow Fan

Johannes Rohwer, Sybrand J. van der Spuy, Theodor W. von Backström, Francois G. Louw

GT 2020; V001T10A001doi:https://doi.org/10.1115/GT2020-14204

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Topics: Axial flow , Blades , Condensers (steam plant) , Pressure , Pressure measurement

Experiment-Based Preliminary Design Guidelines for Consideration of Profile Vortex Shedding From Low-Speed Axial Fan Blades

Gábor Daku, János Vad

GT 2020; V001T10A002doi:https://doi.org/10.1115/GT2020-14214

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Topics: Blades , Design , Noise (Sound) , Vibration , Vortex shedding , Vortices

Design of a Tip Appendage for the Control of Tip Leakage Vortices in Axial Flow Fans

Thomas O. Meyer, Sybrand J. van der Spuy, Christiaan J. Meyer, Alessandro Corsini

GT 2020; V001T10A003doi:https://doi.org/10.1115/GT2020-14292

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Topics: Axial flow , Design , Fans , Leakage , Vortices , Flow (Dynamics) , Performance characterization , Blades , Passive control , Clearances (Engineering)

Multi-Objective Modelling of Leading Edge Serrations Applied to Low-Pressure Axial Fans

Till M. Biedermann, M. Reich, C. O. Paschereit

GT 2020; V001T10A004doi:https://doi.org/10.1115/GT2020-14400

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Topics: Artificial neural networks , Fans , Modeling , Pareto optimization , Pressure

Study on the Influence of Inlet Asymmetry on Aerodynamic Noise of Cooling Fan

Jie Tian, Zonghan Sun, Pengfei Chai, Hua Ouyang

GT 2020; V001T10A005doi:https://doi.org/10.1115/GT2020-14541

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Topics: Aerodynamic noise , Computational fluid dynamics , Cooling , Emission spectroscopy , Spectroscopy

Assessment of MULTALL As CFD Code for the Analysis of Tube-Axial Fans

Piero Danieli, Massimo Masi, Giovanni Delibra, Alessandro Corsini, Andrea Lazzaretto

GT 2020; V001T10A006doi:https://doi.org/10.1115/GT2020-14963

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Topics: Axial flow , Computational fluid dynamics , Fans

Effects of Axial Casing Grooves on the Structure of Turbulence in the Tip Region of an Axial Turbomachine Rotor

Huang Chen, Yuanchao Li, Subhra Shankha Koley, Joseph Katz

GT 2020; V001T10A007doi:https://doi.org/10.1115/GT2020-15229

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Topics: Rotors , Stress , Turbomachinery , Turbulence

Identification of Losses in Turbomachinery With Machine Learning

Gino Angelini, Alessandro Corsini, Giovanni Delibra, Marco Giovannelli

GT 2020; V001T10A008doi:https://doi.org/10.1115/GT2020-15337

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Topics: Machine learning , Turbomachinery , Cascades (Fluid dynamics) , Experimental design , Flow (Dynamics) , Algorithms , Artificial neural networks , Boundary layers , Computational fluid dynamics , Design

Machine Learnt Synthetic Turbulence for LES Inflow Conditions

Alessandro Corsini, Giovanni Delibra, Marco Giovannelli, Stefania Traldi

GT 2020; V001T10A009doi:https://doi.org/10.1115/GT2020-15338

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Topics: Inflow , Machinery , Turbulence

A Machine-Learnt Wall Function for Rotating Diffusers

Lorenzo Tieghi, Alessandro Corsini, Giovanni Delibra, Francesco Aldo Tucci

GT 2020; V001T10A010doi:https://doi.org/10.1115/GT2020-15353

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Topics: Diffusers , Machinery , Flow (Dynamics) , Boundary layers , Machine learning , Turbomachinery , Turbulence , Computational fluid dynamics , Kinetic energy , Modeling

Integration of Computational Fluid-Particle Dynamics Techniques for the Instantaneous Estimation of Particle Erosion Damage on Axial Fan Blade Sections

Alessio Castorrini, Paolo Venturini, Alessandro Corsini

GT 2020; V001T10A011doi:https://doi.org/10.1115/GT2020-15379

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Topics: Blades , Damage , Dynamics (Mechanics) , Erosion , Flow (Dynamics) , Fluids , Particulate matter

The Effect of Hub Configuration on the Performance of an Air-Cooled Steam Condenser Fan

Z. Meiring, S. J. van der Spuy, C. J. Meyer

GT 2020; V001T10A012doi:https://doi.org/10.1115/GT2020-15480

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Topics: Condensers (steam plant) , Flow (Dynamics) , Disks , Axial flow , Design , Pressure , Computational fluid dynamics , Fans , Manufacturing , Modeling

A Co-Simulation Approach to Modeling Air-Cooled Condensers in Windy Conditions

Ruan Engelbrecht, Ryno Laubscher, Johan van der Spuy

GT 2020; V001T10A013doi:https://doi.org/10.1115/GT2020-16047

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Topics: Computational fluid dynamics , Condensers (steam plant) , Modeling , Simulation , Wind

Unsteady Flow Simulation of an Axial Fan for Dry Cooling in a CSP Plant Using the Variational Multiscale Method

Valerio Francesco Barnabei, Alessio Castorrini, Alessandro Corsini, Johan Van der Spuy, Franco Rispoli

GT 2020; V001T10A014doi:https://doi.org/10.1115/GT2020-16057

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Topics: Cooling , Simulation , Unsteady flow , Computational fluid dynamics , Flow (Dynamics) , Concentrating solar power , Condensers (steam plant) , Cooling systems , Emissions , Finite element analysis

Analysis of the Design Bounds in Performance Limits for Industrial Axial Flow Fans

Carlo Cravero, Gabriele Milanese

GT 2020; V001T10A015doi:https://doi.org/10.1115/GT2020-16058

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Topics: Axial flow , Design , Fans , Flow (Dynamics) , Engineering simulation , Pressure , Simulation , Computational fluid dynamics , Databases , Diffusion (Physics)

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