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Sudeepta Mondal
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Journal Articles

Machine Learning-Enabled Prediction of Transient Injection Map in Automotive Injectors With Uncertainty Quantification

Sudeepta Mondal, Gina M. Magnotti, Bethany Lusch, Romit Maulik, Roberto Torelli
Journal: Journal of Engineering for Gas Turbines and Power
Publisher: ASME
Article Type: Research-Article
J. Eng. Gas Turbines Power. April 2023, 145(4): 041015.
Paper No: GTP-22-1451
https://doi.org/10.1115/1.4055777
Published Online: December 13, 2022
View Article titled, Machine Learning-Enabled Prediction of Transient Injection Map in Automotive Injectors With Uncertainty Quantification
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Topics: Design, Ejectors, Needles, Porosity, Simulation, Transients (Dynamics), Uncertainty, Uncertainty quantification, Spatiotemporal phenomena, Internal flow
Journal Articles

Topology Optimization and Experimental Validation of an Additively Manufactured U-Bend Channel

Shinjan Ghosh, Ryan Wardell, Sudeepta Mondal, Erik Fernandez, Asok Ray, Jayanta Kapat
Journal: Journal of Fluids Engineering
Publisher: ASME
Article Type: Research-Article
J. Fluids Eng. July 2022, 144(7): 071206.
Paper No: FE-21-1340
https://doi.org/10.1115/1.4052928
Published Online: February 17, 2022
View Article titled, Topology Optimization and Experimental Validation of an Additively Manufactured U-Bend Channel
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Topics: Additive manufacturing, Computational fluid dynamics, Optimization, Pressure, Pressure drop, Shapes, Topology, Flow (Dynamics), Design, Fluids
Proceedings Papers

Machine Learning-Enabled Prediction of Transient Injection Map In Automotive Injectors With Uncertainty Quantification

Sudeepta Mondal, Gina M. Magnotti, Bethany Lusch, Romit Maulik, Roberto Torelli
Proc. ASME. ICEF2021, ASME 2021 Internal Combustion Engine Division Fall Technical Conference, V001T03A005, October 13–15, 2021
Publisher: American Society of Mechanical Engineers
Paper No: ICEF2021-67888
https://doi.org/10.1115/ICEF2021-67888
View Paper titled, Machine Learning-Enabled Prediction of Transient Injection Map In Automotive Injectors With Uncertainty Quantification
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Topics: Ejectors, Machine learning, Machinery, Transients (Dynamics), Uncertainty quantification
Proceedings Papers

Optimization of an Additively Manufactured U-Bend Channel Using A Surrogate-Based Bayesian Method

Shinjan Ghosh, Sudeepta Mondal, Ryan Wardell, Erik Fernandez, Jayanta S. Kapat, Asok Ray
Proc. ASME. GT2021, Volume 2D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Radial Turbomachinery Aerodynamics; Unsteady Flows in Turbomachinery, V02DT36A011, June 7–11, 2021
Publisher: American Society of Mechanical Engineers
Paper No: GT2021-59415
https://doi.org/10.1115/GT2021-59415
View Paper titled, Optimization of an Additively Manufactured U-Bend Channel Using A Surrogate-Based Bayesian Method
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Topics: Additive manufacturing, Optimization, Design, Shapes, Computational fluid dynamics, Pressure, Pressure drop, Cooling, Simulation, Turbulence
Proceedings Papers

Shape Optimization of Pin Fin Arrays Using Gaussian Process Surrogate Models Under Design Constraints

Shinjan Ghosh, Sudeepta Mondal, Jayanta S. Kapat, Asok Ray
Proc. ASME. GT2020, Volume 7A: Heat Transfer, V07AT15A021, September 21–25, 2020
Publisher: American Society of Mechanical Engineers
Paper No: GT2020-15277
https://doi.org/10.1115/GT2020-15277
View Paper titled, Shape Optimization of Pin Fin Arrays Using Gaussian Process Surrogate Models Under Design Constraints
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Topics: Design, Shape optimization, Blades, Fins, Optimization, Gas turbines, Pressure drop, Compressors, Computational fluid dynamics, Coolants
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

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

Najah F. Ghalyan, Sudeepta Mondal, David J. Miller, Asok Ray
Journal: Journal of Dynamic Systems, Measurement, and Control
Publisher: ASME
Article Type: Technical Briefs
J. Dyn. Sys., Meas., Control. October 2019, 141(10): 104502.
Paper No: DS-18-1459
https://doi.org/10.1115/1.4043428
Published Online: May 8, 2019
View Article titled, Hidden Markov Modeling-Based Decision-Making Using Short-Length Sensor Time Series
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Topics: Algorithms, Modeling, Sensors, Time series, String, Decision making, Probability
Journal Articles

Dynamic Data-Driven Combustor Design for Mitigation of Thermoacoustic Instabilities

Pritthi Chattopadhyay, Sudeepta Mondal, Asok Ray, Achintya Mukhopadhyay
Journal: Journal of Dynamic Systems, Measurement, and Control
Publisher: ASME
Article Type: Technical Briefs
J. Dyn. Sys., Meas., Control. January 2019, 141(1): 014501.
Paper No: DS-18-1068
https://doi.org/10.1115/1.4040210
Published Online: September 7, 2018
View Article titled, Dynamic Data-Driven Combustor Design for Mitigation of Thermoacoustic Instabilities
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Topics: Algorithms, Combustion chambers, Design, Machinery, Time series, Entropy, Design methodology, Combustion, Stability, Pressure
Journal Articles

Dynamic Data-Driven Design of Lean Premixed Combustors for Thermoacoustically Stable Operations

Pritthi Chattopadhyay, Sudeepta Mondal, Chandrachur Bhattacharya, Achintya Mukhopadhyay, Asok Ray
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research-Article
J. Mech. Des. November 2017, 139(11): 111419.
Paper No: MD-17-1154
https://doi.org/10.1115/1.4037307
Published Online: October 2, 2017
View Article titled, Dynamic Data-Driven Design of Lean Premixed Combustors for Thermoacoustically Stable Operations
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Topics: Algorithms, Combustion chambers, Design, Design methodology, Time series, Pressure, Stability
Journal Articles

Detection of Thermoacoustic Instabilities Via Nonparametric Bayesian Markov Modeling of Time-Series Data

Sihan Xiong, Sudeepta Mondal, Asok Ray
Journal: Journal of Dynamic Systems, Measurement, and Control
Publisher: ASME
Article Type: Technical Briefs
J. Dyn. Sys., Meas., Control. February 2018, 140(2): 024501.
Paper No: DS-17-1153
https://doi.org/10.1115/1.4037288
Published Online: September 20, 2017
View Article titled, Detection of Thermoacoustic Instabilities Via Nonparametric Bayesian Markov Modeling of Time-Series Data
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Topics: Algorithms, Combustion chambers, Machinery, Modeling, Pressure, Testing, Time series, Pressure measurement, Combustion, Tensors
Proceedings Papers

Numerical Simulation of Inclined Injection of Polydisperse Polykinetic Spray in a Crossflow Using Quadrature Method of Moments

Sudeepta Mondal, Achintya Mukhopadhyay
Proc. ASME. GTINDIA2014, ASME 2014 Gas Turbine India Conference, V001T03A005, December 15–17, 2014
Publisher: American Society of Mechanical Engineers
Paper No: GTINDIA2014-8209
https://doi.org/10.1115/GTINDIA2014-8209
View Paper titled, Numerical Simulation of Inclined Injection of Polydisperse Polykinetic Spray in a Crossflow Using Quadrature Method of Moments
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Topics: Computer simulation, Method of moments, Sprays, Particulate matter, Combustion, Combustion chambers, Fuels, Gas turbines, Momentum, Ramjets
Proceedings Papers

Experimental Investigation of a Hybrid Atomizer’s Spray Characteristics in Variable Flow Condition by Using Alcohol Blended Diesel Fuel

Amlan Garai, Sudeepta Mondal, Swarnendu Sen, Achintya Mukhopadhyay
Proc. ASME. GTINDIA2014, ASME 2014 Gas Turbine India Conference, V001T03A011, December 15–17, 2014
Publisher: American Society of Mechanical Engineers
Paper No: GTINDIA2014-8260
https://doi.org/10.1115/GTINDIA2014-8260
View Paper titled, Experimental Investigation of a Hybrid Atomizer’s Spray Characteristics in Variable Flow Condition by Using Alcohol Blended Diesel Fuel
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Topics: Diesel, Ethanol, Flow (Dynamics), Sprays, Fuels, Air flow, Combustion chambers, Gas turbines, Marine gas turbines, Turbulence