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Analytics and Digital Solutions (Including AI/ML) for Gas Turbines/Rotating Machinery
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Proceedings Papers

Application of Machine Learning in Turbulent Combustion for Aviation Gas Turbine Combustor Design

Vishwas Verma, Kiran Manoharan, Jaydeep Basani
Proc. ASME. GTINDIA2021, ASME 2021 Gas Turbine India Conference, V001T02A007, December 2–3, 2021
Paper No: GTINDIA2021-76442
DOI: https://doi.org/10.1115/GTINDIA2021-76442
View Paper titled, Application of Machine Learning in Turbulent Combustion for Aviation Gas Turbine Combustor Design
Click here to open pdf in another window PDF for Application of Machine Learning in Turbulent Combustion for Aviation Gas Turbine Combustor Design
Topics: Aviation, Combustion, Combustion chambers, Design, Gas turbines, Large eddy simulation, Machine learning, Multilayer perceptron, Turbulence
Proceedings Papers

Application of Machine Learning Based Surrogate Model for Prediction of Sectional Temperature of Radially Cooled Gas Turbine Blades

Rishabh Shrivastava, Nisha Tamar, Amit Grover, Debdulal Das
Proc. ASME. GTINDIA2021, ASME 2021 Gas Turbine India Conference, V001T02A003, December 2–3, 2021
Paper No: GTINDIA2021-76053
DOI: https://doi.org/10.1115/GTINDIA2021-76053
View Paper titled, Application of Machine Learning Based Surrogate Model for Prediction of Sectional Temperature of Radially Cooled Gas Turbine Blades
Click here to open pdf in another window PDF for Application of Machine Learning Based Surrogate Model for Prediction of Sectional Temperature of Radially Cooled Gas Turbine Blades
Topics: Blades, Finite element analysis, Gas turbines, Machine learning, Temperature, Turbine blades
Proceedings Papers

Comprehensive Review & Enhancements on Probe Substitution Techniques for Faulty Steady State Inlet Pressure Distortion Data

Mithilesh Rajendrakumar, Manu Vyas, Prashant Deshpande, Bommaian Balasubramanian, Kevin Shepherd
Proc. ASME. GTINDIA2021, ASME 2021 Gas Turbine India Conference, V001T02A002, December 2–3, 2021
Paper No: GTINDIA2021-75945
DOI: https://doi.org/10.1115/GTINDIA2021-75945
View Paper titled, Comprehensive Review & Enhancements on Probe Substitution Techniques for Faulty Steady State Inlet Pressure Distortion Data
Click here to open pdf in another window PDF for Comprehensive Review & Enhancements on Probe Substitution Techniques for Faulty Steady State Inlet Pressure Distortion Data
Topics: Pressure, Probes, Steady state, Interpolation, Stability, Cycles, Engines, Flight, Gas turbines, Product development
Proceedings Papers

Inverse Design of Airfoils Using Convolutional Neural Network and Deep Neural Network

Amit Kumar, Nagabhushana Rao Vadlamani
Proc. ASME. GTINDIA2021, ASME 2021 Gas Turbine India Conference, V001T02A001, December 2–3, 2021
Paper No: GTINDIA2021-74765
DOI: https://doi.org/10.1115/GTINDIA2021-74765
View Paper titled, Inverse Design of Airfoils Using Convolutional Neural Network and Deep Neural Network
Click here to open pdf in another window PDF for Inverse Design of Airfoils Using Convolutional Neural Network and Deep Neural Network
Topics: Airfoils, Artificial neural networks, Design, Shapes, Pressure, Errors
Proceedings Papers

Modelling Wall-Pressure Spectra in Turbulent Boundary Layers Using Neural Networks

Akash Haridas, Nagabhushana Rao Vadlamani
Proc. ASME. GTINDIA2021, ASME 2021 Gas Turbine India Conference, V001T02A006, December 2–3, 2021
Paper No: GTINDIA2021-76301
DOI: https://doi.org/10.1115/GTINDIA2021-76301
View Paper titled, Modelling Wall-Pressure Spectra in Turbulent Boundary Layers Using Neural Networks
Click here to open pdf in another window PDF for Modelling Wall-Pressure Spectra in Turbulent Boundary Layers Using Neural Networks
Topics: Artificial neural networks, Boundary layer turbulence, Modeling, Pressure, Spectra (Spectroscopy), Compressibility, Fluctuations (Physics), Pressure gradient
Proceedings Papers

Machine Learning Based Classification Model for Predicting Cyclic Failure in Radially Cooled Gas Turbine Blades

Rishabh Shrivastava, Ankush Kapoor, Stuti Kaushal, Amit Yadav, Pavankumar Vodnala
Proc. ASME. GTINDIA2021, ASME 2021 Gas Turbine India Conference, V001T02A005, December 2–3, 2021
Paper No: GTINDIA2021-76058
DOI: https://doi.org/10.1115/GTINDIA2021-76058
View Paper titled, Machine Learning Based Classification Model for Predicting Cyclic Failure in Radially Cooled Gas Turbine Blades
Click here to open pdf in another window PDF for Machine Learning Based Classification Model for Predicting Cyclic Failure in Radially Cooled Gas Turbine Blades
Topics: Blades, Failure, Gas turbines, Machine learning, Turbine blades
Proceedings Papers

A Nonlinear Dynamic Reduced-Order Model for a Large Gas Turbine Outer Casing Low Cycle Fatigue Prediction

Aditya Dubey, Rishi Relan, Uwe Lohse, Jaroslaw Szwedowicz
Proc. ASME. GTINDIA2021, ASME 2021 Gas Turbine India Conference, V001T02A004, December 2–3, 2021
Paper No: GTINDIA2021-76056
DOI: https://doi.org/10.1115/GTINDIA2021-76056
View Paper titled, A Nonlinear Dynamic Reduced-Order Model for a Large Gas Turbine Outer Casing Low Cycle Fatigue Prediction
Click here to open pdf in another window PDF for A Nonlinear Dynamic Reduced-Order Model for a Large Gas Turbine Outer Casing Low Cycle Fatigue Prediction
Topics: Gas turbines, Low cycle fatigue, Stress, Finite element analysis, Damage, Engines, Inspection, Maintenance, Safety, Temperature