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Proc. ASME. GT2021, Volume 2C: Turbomachinery — Design Methods and CFD Modeling for Turbomachinery; Ducts, Noise, and Component Interactions, V02CT34A013, June 7–11, 2021

Paper No: GT2021-59121

DOI: https://doi.org/10.1115/GT2021-59121

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Topics: Compressors, Topology, Design, Blades, Geometry, Computational fluid dynamics, Flow (Dynamics), Manufacturing, Noise (Sound), Optimization

Journal Articles

Super Aggressive S-Ducts for Air Breathing Rocket Engines

J. V. Taylor, F. Flanagan, A. Dunlop, S. D. Grimshaw, R. J. Miller

J. Turbomach. June 2021, 143(6): 061015.

Paper No: TURBO-20-1317

DOI: https://doi.org/10.1115/1.4050596

Published Online: April 27, 2021

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Topics: Design, Ducts, Flow (Dynamics), Struts (Engineering), Blades, Computational fluid dynamics

Proceedings Papers

Super Aggressive S-Ducts for Air Breathing Rocket Engines

J. V. Taylor, F. Flanagan, A. Dunlop, S. D. Grimshaw, R. J. Miller

Proc. ASME. GT2020, Volume 2D: Turbomachinery, V02DT36A014, September 21–25, 2020

Paper No: GT2020-14927

DOI: https://doi.org/10.1115/GT2020-14927

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Topics: Ducts, Rocket engines, Design, Aerospace industry, Compressors, Computational fluid dynamics, Flow (Dynamics), Gas turbines, Blades, Corners (Structural elements)

Proceedings Papers

Transonic Relief in Fans and Compressors

Demetrios Lefas, Robert J. Miller

Proc. ASME. GT2020, Volume 2A: Turbomachinery, V02AT32A043, September 21–25, 2020

Paper No: GT2020-15064

DOI: https://doi.org/10.1115/GT2020-15064

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Topics: Compressors, Fans

Proceedings Papers

The Effect of Reaction on Compressor Performance

Krishan S. Chana, Robert J. Miller

Proc. ASME. GT2020, Volume 2A: Turbomachinery, V02AT32A047, September 21–25, 2020

Paper No: GT2020-15220

DOI: https://doi.org/10.1115/GT2020-15220

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Topics: Compressors, Boundary layers, Rotors, Stators, Centrifugal force, Design

Journal Articles

The Effect of Heat Transfer on Turbine Performance

Lachlan J. Jardine, Robert J. Miller

Mechanical Engineering. September 2020, 142(09): 56–57.

Paper No: ME-2020-SEP5

DOI: https://doi.org/10.1115/1.2020-SEP5

Published Online: September 1, 2020

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Topics: Heat transfer, Turbines, Blades, Temperature, Cooling

Journal Articles

The Impact of Combustor Turbulence on Turbine Loss Mechanisms

Masha Folk, Robert J. Miller, John D. Coull

J. Turbomach. September 2020, 142(9): 091009.

Paper No: TURBO-20-1040

DOI: https://doi.org/10.1115/1.4047615

Published Online: August 24, 2020

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Topics: Boundary layers, Combustion chambers, Turbulence, Turbines

Journal Articles

Predicting the Operability of Damaged Compressors Using Machine Learning

J. V. Taylor, B. Conduit, A. Dickens, C. Hall, M. Hillel, R. J. Miller

J. Turbomach. May 2020, 142(5): 051010.

Paper No: TURBO-19-1281

DOI: https://doi.org/10.1115/1.4046658

Published Online: April 30, 2020

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Topics: Artificial neural networks, Blades, Compressors, Damage, Machine learning, Pressure, Parametrization

Proceedings Papers

The Effect of Heat Transfer on Turbine Performance

Lachlan J. Jardine, Robert J. Miller

Proc. ASME. GT2019, Volume 5A: Heat Transfer, V05AT10A010, June 17–21, 2019

Paper No: GT2019-91556

DOI: https://doi.org/10.1115/GT2019-91556

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Topics: Heat transfer, Turbines, Blades, Heat, Cooling, Design, Flow (Dynamics), Brayton cycle, Compressors, Computational fluid dynamics

Proceedings Papers

Predicting the Operability of Damaged Compressors Using Machine Learning

J. V. Taylor, B. Conduit, A. Dickens, C. Hall, M. Hillel, R. J. Miller

Proc. ASME. GT2019, Volume 2A: Turbomachinery, V02AT39A027, June 17–21, 2019

Paper No: GT2019-91339

DOI: https://doi.org/10.1115/GT2019-91339

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Topics: Compressors, Machine learning, Aerospace industry, Testing, Blades, Damage, Uncertainty

Proceedings Papers

The Impact of Combustor Turbulence on Turbine Loss Mechanisms

Masha Folk, Robert J. Miller, John D. Coull

Proc. ASME. GT2019, Volume 2B: Turbomachinery, V02BT40A002, June 17–21, 2019

Paper No: GT2019-90307

DOI: https://doi.org/10.1115/GT2019-90307

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Topics: Combustion chambers, Turbines, Turbulence, Blades, Cascades (Fluid dynamics), Anisotropy, Boundary layer turbulence, Boundary layers, Chords (Trusses), Cross-flow

Journal Articles

Hidden Markov Modeling-Based Decision-Making Using Short-Length Sensor Time Series

Najah F. Ghalyan, Sudeepta Mondal, David J. Miller, Asok Ray

J. Dyn. Sys., Meas., Control. October 2019, 141(10): 104502.

Paper No: DS-18-1459

DOI: https://doi.org/10.1115/1.4043428

Published Online: May 8, 2019

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Topics: Algorithms, Modeling, Sensors, Time series, String, Decision making, Probability

Journal Articles

The Effect of Aspect Ratio on Compressor Performance

Ho-On To, Robert J. Miller

J. Turbomach. August 2019, 141(8): 081011.

Paper No: TURBO-19-1026

DOI: https://doi.org/10.1115/1.4043219

Published Online: April 15, 2019

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Topics: Blades, Compressors, Design, Flow (Dynamics), Pressure, Clearances (Engineering), Chords (Trusses), Computational fluid dynamics

Journal Articles

The Effect of Nonequilibrium Boundary Layers on Compressor Performance

Andrew P. S. Wheeler, Anthony M. J. Dickens, Robert J. Miller

J. Turbomach. October 2018, 140(10): 101003.

Paper No: TURBO-18-1057

DOI: https://doi.org/10.1115/1.4040094

Published Online: September 28, 2018

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Topics: Boundary layers, Compressors, Flow (Dynamics), Reynolds number, Shear (Mechanics), Simulation, Suction, Turbulence, Energy dissipation, Blades

Proceedings Papers

A Case Study of Decentralized Off-Grid Water Treatment Using Reverse Osmosis

Reza Baghaei Lakeh, Daniel Andrade, Kyle J. Miller, Bowen Du, Joshua Pham, Mohammad M. Modabernia, Pui Y. Ng, Thuan N. Nguyen, Justine L. Nguyen, Crystal Mena, Kevin R. Anderson, Mohammadali Sharbatmaleki

Proc. ASME. IMECE2017, Volume 5: Education and Globalization, V005T06A037, November 3–9, 2017

Paper No: IMECE2017-70828

DOI: https://doi.org/10.1115/IMECE2017-70828

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Topics: Reverse osmosis, Water treatment, Water, Membranes, Solar energy, Batteries, Flow (Dynamics), Groundwater, High pressure (Physics), Photovoltaics

Proceedings Papers

The Effect of Non-Equilibrium Boundary Layers on Compressor Performance

Andrew P. S. Wheeler, Anthony M. J. Dickens, Robert J. Miller

Proc. ASME. GT2017, Volume 2B: Turbomachinery, V02BT41A040, June 26–30, 2017

Paper No: GT2017-64635

DOI: https://doi.org/10.1115/GT2017-64635

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Topics: Boundary layers, Compressors, Equilibrium (Physics), Blades, Computer simulation, Reynolds number, Separation (Technology), Suction

Journal citation

NARROW

The Effect of Reaction on Compressor Performance

Discussion: “Validity of Time-Compensated Temperature Parameters for Correlating Creep and Creep-Rupture Data” (Garofalo, F., Smith, G. V., and Royle, B. W., 1956, Trans. ASME, 78, pp. 1423–1429)

Designing With High Temperature Composites

Transonic Relief in Fans and Compressors

Selecting a Compressor Meridional Topology: Axial, Mixed, Radial

Super Aggressive S-Ducts for Air Breathing Rocket Engines

Super Aggressive S-Ducts for Air Breathing Rocket Engines

Transonic Relief in Fans and Compressors

The Effect of Reaction on Compressor Performance

The Effect of Heat Transfer on Turbine Performance

The Impact of Combustor Turbulence on Turbine Loss Mechanisms

Predicting the Operability of Damaged Compressors Using Machine Learning

The Effect of Heat Transfer on Turbine Performance

Predicting the Operability of Damaged Compressors Using Machine Learning

The Impact of Combustor Turbulence on Turbine Loss Mechanisms

Hidden Markov Modeling-Based Decision-Making Using Short-Length Sensor Time Series

The Effect of Aspect Ratio on Compressor Performance

The Effect of Nonequilibrium Boundary Layers on Compressor Performance

A Case Study of Decentralized Off-Grid Water Treatment Using Reverse Osmosis

The Effect of Non-Equilibrium Boundary Layers on Compressor Performance

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