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Proceedings Papers

Multi-Fidelity Global-Local Optimization of a Transonic Compressor Rotor

Sudeepta Mondal, Michael M. Joly, Soumalya Sarkar
Proc. ASME. GT2019, Volume 2D: Turbomachinery, V02DT46A020, June 17–21, 2019
Publisher: American Society of Mechanical Engineers
Paper No: GT2019-91778
https://doi.org/10.1115/GT2019-91778
View Paper titled, Multi-Fidelity Global-Local Optimization of a Transonic Compressor Rotor
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Topics: Compressors, Optimization, Rotors, Design, Reynolds-averaged Navier–Stokes equations, Space, Thread, Algorithms, Computational fluid dynamics, Machine learning
Journal Articles

Multifidelity and Multiscale Bayesian Framework for High-Dimensional Engineering Design and Calibration

Soumalya Sarkar, Sudeepta Mondal, Michael Joly, Matthew E. Lynch, Shaunak D. Bopardikar, Ranadip Acharya, Paris Perdikaris
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. December 2019, 141(12): 121001.
Paper No: MD-19-1167
https://doi.org/10.1115/1.4044598
Published Online: September 30, 2019
View Article titled, Multifidelity and Multiscale Bayesian Framework for High-Dimensional Engineering Design and Calibration
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Topics: Calibration, Optimization, Design
Journal Articles

Machine Learning to Aid Tuning of Numerical Parameters in Topology Optimization

Matthew E. Lynch, Soumalya Sarkar, Kurt Maute
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Technical Briefs
J. Mech. Des. November 2019, 141(11): 114502.
Paper No: MD-19-1149
https://doi.org/10.1115/1.4044228
Published Online: September 16, 2019
View Article titled, Machine Learning to Aid Tuning of Numerical Parameters in Topology Optimization
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Topics: Design, Machine learning, Optimization, Topology, Algorithms
Journal Articles

Machine Learning Enabled Adaptive Optimization of a Transonic Compressor Rotor With Precompression

Michael Joly, Soumalya Sarkar, Dhagash Mehta
Journal: Journal of Turbomachinery
Publisher: ASME
Article Type: Research-Article
J. Turbomach. May 2019, 141(5): 051011.
Paper No: TURBO-18-1262
https://doi.org/10.1115/1.4041808
Published Online: January 25, 2019
View Article titled, Machine Learning Enabled Adaptive Optimization of a Transonic Compressor Rotor With Precompression
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Topics: Design, Optimization, Machine learning, Computational fluid dynamics, Rotors, Compressors
Proceedings Papers

Machine Learning Enabled Adaptive Optimization of a Transonic Compressor Rotor With Pre-Compression

Michael Joly, Soumalya Sarkar, Dhagash Mehta
Proc. ASME. GT2018, Volume 2C: Turbomachinery, V02CT42A050, June 11–15, 2018
Publisher: American Society of Mechanical Engineers
Paper No: GT2018-77098
https://doi.org/10.1115/GT2018-77098
View Paper titled, Machine Learning Enabled Adaptive Optimization of a Transonic Compressor Rotor With Pre-Compression
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Topics: Compression, Compressors, Machine learning, Optimization, Rotors, Design, Computational fluid dynamics, Failure, Geometry, NASA
Proceedings Papers

Detection and Analysis of Combustion Instability From Hi-Speed Flame Images Using Dynamic Mode Decomposition

Sambuddha Ghosal, Vikram Ramanan, Soumalya Sarkar, Satyanarayanan R. Chakravarthy, Soumik Sarkar
Proc. ASME. DSCC2016, Volume 1: Advances in Control Design Methods, Nonlinear and Optimal Control, Robotics, and Wind Energy Systems; Aerospace Applications; Assistive and Rehabilitation Robotics; Assistive Robotics; Battery and Oil and Gas Systems; Bioengineering Applications; Biomedical and Neural Systems Modeling, Diagnostics and Healthcare; Control and Monitoring of Vibratory Systems; Diagnostics and Detection; Energy Harvesting; Estimation and Identification; Fuel Cells/Energy Storage; Intelligent Transportation, V001T12A005, October 12–14, 2016
Publisher: American Society of Mechanical Engineers
Paper No: DSCC2016-9907
https://doi.org/10.1115/DSCC2016-9907
View Paper titled, Detection and Analysis of Combustion Instability From Hi-Speed Flame Images Using Dynamic Mode Decomposition
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Topics: Combustion, Flames, Dynamics (Mechanics), Flow (Dynamics), Stability, Combustion chambers, Computer simulation, Feature extraction, Flight, Fluid dynamics
Proceedings Papers

Investigation of Combustion Instability in a Swirl-Stabilized Combustor Using Symbolic Time Series Analysis

Vikram Ramanan, S. R. Chakravarthy, Soumalya Sarkar, Ashok Ray
Proc. ASME. GTINDIA2014, ASME 2014 Gas Turbine India Conference, V001T03A012, December 15–17, 2014
Publisher: American Society of Mechanical Engineers
Paper No: GTINDIA2014-8280
https://doi.org/10.1115/GTINDIA2014-8280
View Paper titled, Investigation of Combustion Instability in a Swirl-Stabilized Combustor Using Symbolic Time Series Analysis
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Topics: Combustion, Combustion chambers, Time series, Fuels, Pressure, Air flow, Algebra, Filtration, Heat, Reynolds number
Journal Articles

Symbolic Dynamic Analysis of Transient Time Series for Fault Detection in Gas Turbine Engines

Soumalya Sarkar, Kushal Mukherjee, Soumik Sarkar, Asok Ray
Journal: Journal of Dynamic Systems, Measurement, and Control
Publisher: ASME
Article Type: Technical Briefs
J. Dyn. Sys., Meas., Control. January 2013, 135(1): 014506.
Paper No: DS-11-1309
https://doi.org/10.1115/1.4007699
Published Online: November 7, 2012
View Article titled, Symbolic Dynamic Analysis of Transient Time Series for Fault Detection in Gas Turbine Engines
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Topics: Flaw detection, Gas turbines, Time series, Transients (Dynamics), String, Probability, Engines, Testing