Search Results | GT | ASME Digital Collection

1-20 of 47

2 3

Sort by

Sort Order Select

Proceedings Papers

Data-Driven Combustion Modeling for a Turbulent Flame Simulated With a Computationally Efficient Solver

Mohsen Talei, Man-Ching Ma, Richard Sandberg

Proc. ASME. GT2020, Volume 4A: Combustion, Fuels, and Emissions, V04AT04A046, September 21–25, 2020

Paper No: GT2020-14843

DOI: https://doi.org/10.1115/GT2020-14843

View Paper

Topics: Combustion, Flames, Modeling, Turbulence, Algebra, Density, Flow (Dynamics), Computer programming, Computer simulation, Large eddy simulation

Proceedings Papers

Integration of Machine Learning and Computational Fluid Dynamics to Develop Turbulence Models for Improved Turbine Wake Mixing Prediction

Harshal D. Akolekar, Yaomin Zhao, Richard D. Sandberg, Roberto Pacciani

Proc. ASME. GT2020, Volume 2C: Turbomachinery, V02CT35A020, September 21–25, 2020

Paper No: GT2020-14732

DOI: https://doi.org/10.1115/GT2020-14732

View Paper

Topics: Computational fluid dynamics, Machine learning, Turbines, Turbulence, Wakes, Reynolds-averaged Navier–Stokes equations, Model development, Computer programming, Diffusion (Physics), Modeling

Proceedings Papers

Machine Learning for the Development of Data Driven Turbulence Closures in Coolant Systems

James Hammond, Francesco Montomoli, Marco Pietropaoli, Richard D. Sandberg, Vittorio Michelassi

Proc. ASME. GT2020, Volume 7A: Heat Transfer, V07AT15A026, September 21–25, 2020

Paper No: GT2020-15928

DOI: https://doi.org/10.1115/GT2020-15928

View Paper

Topics: Coolants, Machine learning, Turbulence, Design, Cooling, Geometry, Heat transfer, Reynolds-averaged Navier–Stokes equations, Additive manufacturing, Computer programming

Proceedings Papers

Applying Machine Learnt Explicit Algebraic Stress and Scalar Flux Models to a Fundamental Trailing Edge Slot

R. D. Sandberg, R. Tan, J. Weatheritt, A. Ooi, A. Haghiri, V. Michelassi, G. Laskowski

Proc. ASME. GT2018, Volume 5A: Heat Transfer, V05AT12A007, June 11–15, 2018

Paper No: GT2018-75444

DOI: https://doi.org/10.1115/GT2018-75444

View Paper

Topics: Algebra, Machinery, Scalars, Stress, Heat flux, Reynolds-averaged Navier–Stokes equations, Algorithms, Anisotropy, Diffusion (Physics), Geometry

Proceedings Papers

Development and Use of Machine-Learnt Algebraic Reynolds Stress Models for Enhanced Prediction of Wake Mixing in LPTs

Harshal D. Akolekar, Jack Weatheritt, Nicholas Hutchins, Richard D. Sandberg, Gregory Laskowski, Vittorio Michelassi

Proc. ASME. GT2018, Volume 2C: Turbomachinery, V02CT42A009, June 11–15, 2018

Paper No: GT2018-75447

DOI: https://doi.org/10.1115/GT2018-75447

View Paper

Topics: Algebra, Machinery, Stress, Wakes, Reynolds-averaged Navier–Stokes equations, Turbulence, Flow (Dynamics), Algorithms, Anisotropy, Blades

Proceedings Papers

An Integrated Simulation Tool Proposed for Modeling and Optimization of CCHP Units

Amir Safari, Vladimir Berezkin, Mohsen Assadi

Proc. ASME. GT2018, Volume 3: Coal, Biomass, and Alternative Fuels; Cycle Innovations; Electric Power; Industrial and Cogeneration; Organic Rankine Cycle Power Systems, V003T23A001, June 11–15, 2018

Paper No: GT2018-75193

DOI: https://doi.org/10.1115/GT2018-75193

View Paper

Topics: Modeling, Optimization, Simulation, Boilers, Absorption, Computer programming, Computer software, Cooling, Energy / power systems, Heat

Proceedings Papers

A Comparative Study of Contrasting Machine Learning Frameworks Applied to RANS Modeling of Jets in Crossflow

Jack Weatheritt, Richard D. Sandberg, Julia Ling, Gonzalo Saez, Julien Bodart

Proc. ASME. GT2017, Volume 2B: Turbomachinery, V02BT41A012, June 26–30, 2017

Paper No: GT2017-63403

DOI: https://doi.org/10.1115/GT2017-63403

View Paper

Topics: Jets, Machine learning, Modeling, Reynolds-averaged Navier–Stokes equations, Stress, Turbulence, Algebra, Artificial neural networks, Computer programming, Evolutionary algorithms

Proceedings Papers

Condition Monitoring of Combustion System on Industrial Gas Turbines Based on Trend and Noise Analysis

Yu Zhang, Miguel Martínez-García, Mike Garlick, Anthony Latimer, Samuel Cruz-Manzo

Proc. ASME. GT2017, Volume 6: Ceramics; Controls, Diagnostics and Instrumentation; Education; Manufacturing Materials and Metallurgy, V006T05A018, June 26–30, 2017

Paper No: GT2017-64288

DOI: https://doi.org/10.1115/GT2017-64288

View Paper

Topics: Combustion systems, Condition monitoring, Industrial gases, Noise (Sound), Turbines, Sensors, Computer programming, Performance, Stress, Temperature

Proceedings Papers

A Simple Model for Thermodynamic Properties of Air and Combustion Gases for Educational Purposes

Milan Banjac, Srdjan Milic, Milan V. Petrovic

Proc. ASME. GT2016, Volume 6: Ceramics; Controls, Diagnostics and Instrumentation; Education; Manufacturing Materials and Metallurgy, V006T07A007, June 13–17, 2016

Paper No: GT2016-57601

DOI: https://doi.org/10.1115/GT2016-57601

View Paper

Topics: Combustion gases, Students, Algebra, Computer programming, Computer software, Cycles, Gas turbines, Thermodynamic cycles

Proceedings Papers

A Comprehensive Through-Flow Solver Method for Modern Turbomachinery Design

Mark R. Anderson, Daryl L. Bonhaus

Proc. ASME. GT2015, Volume 2B: Turbomachinery, V02BT39A039, June 15–19, 2015

Paper No: GT2015-43763

DOI: https://doi.org/10.1115/GT2015-43763

View Paper

Topics: Design, Flow (Dynamics), Turbomachinery, Computational fluid dynamics, Compressors, Boundary layers, Computer programming, Engines, Equations of state, Geometry

Proceedings Papers

A Rapid Approximate Method of Determining Axial-Flow Turbine Disk and Blade Temperatures

F. M. Simpson

Proc. ASME. GT1967, ASME 1967 Gas Turbine Conference and Products Show, V001T01A014, March 5–9, 1967

Paper No: 67-GT-14

DOI: https://doi.org/10.1115/67-GT-14

View Paper

Topics: Axial flow, Blades, Disks, Temperature, Turbines, Geometry, Cooling, Computer programming, Journal bearings, Rotors

Proceedings Papers

Design of Compressor Blades Suitable for Transonic Axial-Flow Compressors

M. P. Boyce

Proc. ASME. GT1967, ASME 1967 Gas Turbine Conference and Products Show, V001T01A046, March 5–9, 1967

Paper No: 67-GT-47

DOI: https://doi.org/10.1115/67-GT-47

View Paper

Topics: Axial flow, Blades, Compressors, Design, Computer programming, Computers, Design methodology, Flow charts, Mach number

Proceedings Papers

Real-Time Simulation of Jet Engines With Digital Computer

Kenji Nishio, Nanahisa Sugiyama

Proc. ASME. GT1974, Volume 1A: General, V01AT01A019, March 30–April 4, 1974

Paper No: 74-GT-19

DOI: https://doi.org/10.1115/74-GT-19

View Paper

Topics: Computers, Jet engines, Simulation, Engines, Computer programming

Proceedings Papers

A Model of Convex Programming for Turbojet Main Parameter Selection Optimization

C. Turcanu

Proc. ASME. GT1974, Volume 1A: General, V01AT01A079, March 30–April 4, 1974

Paper No: 74-GT-79

DOI: https://doi.org/10.1115/74-GT-79

View Paper

Topics: Computer programming, Optimization, Turbojets, Thrust, Engines, Turbines, Aircraft, Combustion, Compression, Compressors

Proceedings Papers

Control of a Gas Turbine HTGR

F. Openshaw, E. Estrine, M. Croft

Proc. ASME. GT1976, Volume 1B: General, V01BT02A032, March 21–25, 1976

Paper No: 76-GT-97

DOI: https://doi.org/10.1115/76-GT-97

View Paper

Topics: Gas turbines, Very high temperature reactors, Control systems, Transients (Dynamics), Design, Helium, Stress, Temperature, Turbines, Accidents

Proceedings Papers

A Unified Approach to the One-Dimensional Analysis and Design of Radial and Mixed Flow Turbines

F. J. Wallace, N. C. Baines, A. Whitfield

Proc. ASME. GT1976, Volume 1B: General, V01BT02A035, March 21–25, 1976

Paper No: 76-GT-100

DOI: https://doi.org/10.1115/76-GT-100

View Paper

Topics: Design, Flow (Dynamics), Turbines, Ducts, Rotors, Friction, Clearances (Engineering), Computer programming, Computers, Disks

Proceedings Papers

Interactive Graphics: A New Tool for All N C Part Programmers

G. A. Grimmer

Proc. ASME. GT1975, Volume 1A: General, V01AT01A054, March 2–6, 1975

Paper No: 75-GT-55

DOI: https://doi.org/10.1115/75-GT-55

View Paper

Topics: Cathode rays, Computer programming, Computers, Geometry, Milling

Proceedings Papers

Graphic Design and Numerical Control Programming for Turbo-Rotor Manufacturing

F. F. Willis

Proc. ASME. GT1975, Volume 1A: General, V01AT01A055, March 2–6, 1975

Paper No: 75-GT-56

DOI: https://doi.org/10.1115/75-GT-56

View Paper

Topics: Computer programming, Design, Manufacturing, Rotors, Turbochargers, Machinery, Computers, Milling, Turbomachinery

Proceedings Papers

Nonlinear Digital Simulation and Minimum Fuel Control of a Jet Type Gas Turbine Power Generating Unit

D. Weiner, F. S. Aschner, J. Dayan

Proc. ASME. GT1978, Volume 1A: General, V01AT01A043, April 9–13, 1978

Paper No: 78-GT-43

DOI: https://doi.org/10.1115/78-GT-43

View Paper

Topics: Computer simulation, Fuels, Gas turbines, Computer programming, Generators, Simulation, Simulation results, Turbines

Proceedings Papers

Design Objectives and Experience With Processor Based Gas Turbine Controls

Hans D. Lenz

Proc. ASME. GT1984, Volume 3: Coal, Biomass and Alternative Fuels; Combustion and Fuels; Oil and Gas Applications; Cycle Innovations, V003T07A008, June 4–7, 1984

Paper No: 84-GT-80

DOI: https://doi.org/10.1115/84-GT-80

View Paper

Topics: Design, Gas turbines, Control systems, Computer programming, Downtime, Failure, Maintenance

2 3

NARROW

Data-Driven Combustion Modeling for a Turbulent Flame Simulated With a Computationally Efficient Solver

Integration of Machine Learning and Computational Fluid Dynamics to Develop Turbulence Models for Improved Turbine Wake Mixing Prediction

Machine Learning for the Development of Data Driven Turbulence Closures in Coolant Systems

Applying Machine Learnt Explicit Algebraic Stress and Scalar Flux Models to a Fundamental Trailing Edge Slot

Development and Use of Machine-Learnt Algebraic Reynolds Stress Models for Enhanced Prediction of Wake Mixing in LPTs

An Integrated Simulation Tool Proposed for Modeling and Optimization of CCHP Units

A Comparative Study of Contrasting Machine Learning Frameworks Applied to RANS Modeling of Jets in Crossflow

Condition Monitoring of Combustion System on Industrial Gas Turbines Based on Trend and Noise Analysis

A Simple Model for Thermodynamic Properties of Air and Combustion Gases for Educational Purposes

A Comprehensive Through-Flow Solver Method for Modern Turbomachinery Design

A Rapid Approximate Method of Determining Axial-Flow Turbine Disk and Blade Temperatures

Design of Compressor Blades Suitable for Transonic Axial-Flow Compressors

Real-Time Simulation of Jet Engines With Digital Computer

A Model of Convex Programming for Turbojet Main Parameter Selection Optimization

Control of a Gas Turbine HTGR

A Unified Approach to the One-Dimensional Analysis and Design of Radial and Mixed Flow Turbines

Interactive Graphics: A New Tool for All N C Part Programmers

Graphic Design and Numerical Control Programming for Turbo-Rotor Manufacturing

Nonlinear Digital Simulation and Minimum Fuel Control of a Jet Type Gas Turbine Power Generating Unit

Design Objectives and Experience With Processor Based Gas Turbine Controls

Journals

Conference Proceedings

eBooks

Resources

Opportunities

Journals

Conference Proceedings

eBooks

Resources

Opportunities

This Feature Is Available To Subscribers Only