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Proceedings Papers

Artificial Neural Network for Automatic Prediction of the Surface Finishing via Classification of the Surface Texture

Proc. ASME. IMECE2022, Volume 9: Mechanics of Solids, Structures, and Fluids; Micro- and Nano-Systems Engineering and Packaging; Safety Engineering, Risk, and Reliability Analysis; Research Posters, V009T14A013, October 30–November 3, 2022

Paper No: IMECE2022-94192

DOI: https://doi.org/10.1115/IMECE2022-94192

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Topics: Artificial neural networks, Surface finishing, Surface texture, Machining, Computer-aided design, Stress concentration, Surface roughness, Water jet cutting, Aluminum alloys, Artificial intelligence

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

J. Fluids Eng. July 2022, 144(7): 071206.

Paper No: FE-21-1340

DOI: https://doi.org/10.1115/1.4052928

Published Online: February 17, 2022

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Topics: Additive manufacturing, Computational fluid dynamics, Optimization, Pressure, Pressure drop, Shapes, Topology, Flow (Dynamics), Design, Fluids

Proceedings Papers

Fatigue Crack Propagation Under Variable-Amplitude Load: Part I — A Deterministic State-Space Model

Ravindra Patankar, Asok Ray

Proc. ASME. IMECE98, Dynamic Systems and Control, 15-22, November 15–20, 1998

Paper No: IMECE1998-0228

DOI: https://doi.org/10.1115/IMECE1998-0228

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Topics: Fatigue cracks, Stress, Fracture (Materials), Algorithms, Aluminum alloys, Computation, Damage, Excitation, Machinery, Modeling

Proceedings Papers

Fatigue Crack Propagation Under Variable-Amplitude Load: Part II — A Stochastic Model

Asok Ray, Ravindra Patankar

Proc. ASME. IMECE98, Dynamic Systems and Control, 23-30, November 15–20, 1998

Paper No: IMECE1998-0229

DOI: https://doi.org/10.1115/IMECE1998-0229

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Topics: Fatigue cracks, Stress, Aircraft, Algorithms, Alloys, Aluminum alloys, Complex systems, Crack propagation, Differential equations, Fracture (Materials)

Proceedings Papers

Robust Damage-Mitigating Control of Mechanical Structures: Experimental Verification on a Test Apparatus

Hui Zhang, Asok Ray

Proc. ASME. IMECE98, Dynamic Systems and Control, 1-8, November 15–20, 1998

Paper No: IMECE1998-0226

DOI: https://doi.org/10.1115/IMECE1998-0226

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Topics: Damage, Mechanical structures, Control systems, Design, Dynamics (Mechanics), Fatigue damage, Fatigue life, Feedback, Machinery, Materials degradation

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

Paper No: GT2021-59415

DOI: https://doi.org/10.1115/GT2021-59415

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Topics: Additive manufacturing, Optimization, Design, Shapes, Computational fluid dynamics, Pressure, Pressure drop, Cooling, Simulation, Turbulence

Journal Articles

On State-Space Modeling and Signal Localization in Dynamical Systems

Asok Ray

Letters Dyn. Sys. Control. January 2022, 2(1): 011006.

Paper No: ALDSC-20-1082

DOI: https://doi.org/10.1115/1.4051142

Published Online: May 31, 2021

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Topics: Dynamic systems, Modeling, Signals, Dimensions, Degrees of freedom

Journal Articles

Transfer Learning for Detection of Combustion Instability Via Symbolic Time-Series Analysis

Chandrachur Bhattacharya, Asok Ray

J. Dyn. Sys., Meas., Control. October 2021, 143(10): 101002.

Paper No: DS-20-1472

DOI: https://doi.org/10.1115/1.4050847

Published Online: May 13, 2021

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Topics: Algorithms, Combustion chambers, Pressure, Time series, Computer simulation, Artificial neural networks, Combustion, Combustion systems

Journal Articles

Early Detection of Fatigue Crack Damage in Ductile Materials: A Projection-Based Probabilistic Finite State Automata Approach

Chandrachur Bhattacharya, Susheel Dharmadhikari, Amrita Basak, Asok Ray

Letters Dyn. Sys. Control. October 2021, 1(4): 041003.

Paper No: ALDSC-20-1041

DOI: https://doi.org/10.1115/1.4050183

Published Online: March 11, 2021

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Topics: Algorithms, Damage, Fatigue cracks, Fracture (Materials), Machinery, Time series, Signals, Fatigue damage, Eigenvalues, Fatigue testing

Journal Articles

Forecasting and Detection of Fatigue Cracks in Polycrystalline Alloys With Ultrasonic Testing Via Discrete Wavelet Transform

Hassan Alqahtani, Asok Ray

ASME J Nondestructive Evaluation. August 2021, 4(3): 031003.

Paper No: NDE-20-1062

DOI: https://doi.org/10.1115/1.4049732

Published Online: February 23, 2021

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Topics: Discrete wavelet transforms, Fatigue cracks, Signals, Ultrasonic testing

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

Paper No: GT2020-15277

DOI: https://doi.org/10.1115/GT2020-15277

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Topics: Design, Shape optimization, Blades, Fins, Optimization, Gas turbines, Pressure drop, Compressors, Computational fluid dynamics, Coolants

Journal Articles

Data-Driven Detection and Classification of Regimes in Chaotic Systems Via Hidden Markov Modeling

Chandrachur Bhattacharya, Asok Ray

Letters Dyn. Sys. Control. April 2021, 1(2): 021009.

Paper No: ALDSC-20-1019

DOI: https://doi.org/10.1115/1.4047817

Published Online: August 5, 2020

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Topics: Attractors, Chaos, Dynamic systems, Modeling, Signals, Time series, Testing

Journal Articles

Online Discovery and Classification of Operational Regimes From an Ensemble of Time Series Data

Chandrachur Bhattacharya, Asok Ray

J. Dyn. Sys., Meas., Control. November 2020, 142(11): 114501.

Paper No: DS-19-1360

DOI: https://doi.org/10.1115/1.4047449

Published Online: July 10, 2020

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Topics: Algorithms, Time series, Dynamics (Mechanics), Transients (Dynamics), Machinery

Journal Articles

Symbolic Time Series Analysis for Anomaly Detection in Measure-Invariant Ergodic Systems

Najah F. Ghalyan, Asok Ray

J. Dyn. Sys., Meas., Control. June 2020, 142(6): 061003.

Paper No: DS-19-1335

DOI: https://doi.org/10.1115/1.4046156

Published Online: March 3, 2020

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Topics: Eigenvalues, Probability, Time series, Fatigue damage, Algorithms, Machinery

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

Dynamic Data-Driven Combustor Design for Mitigation of Thermoacoustic Instabilities

Pritthi Chattopadhyay, Sudeepta Mondal, Asok Ray, Achintya Mukhopadhyay

J. Dyn. Sys., Meas., Control. January 2019, 141(1): 014501.

Paper No: DS-18-1068

DOI: https://doi.org/10.1115/1.4040210

Published Online: September 7, 2018

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Topics: Algorithms, Combustion chambers, Design, Machinery, Time series, Entropy, Design methodology, Combustion, Stability, Pressure

Journal Articles

Neural Probabilistic Forecasting of Symbolic Sequences With Long Short-Term Memory

Michael Hauser, Yiwei Fu, Shashi Phoha, Asok Ray

J. Dyn. Sys., Meas., Control. August 2018, 140(8): 084502.

Paper No: DS-17-1199

DOI: https://doi.org/10.1115/1.4039281

Published Online: March 30, 2018

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Topics: Algorithms, Architecture, Artificial neural networks, Time series, Statistical distributions, Combustion chambers

Journal Articles

Analysis of Filtered Thermal-Fluid Video Data From Downward Facing Boiling Experiments

Chi-Shih Jao, Faith R. Beck, Nurali Virani, Fan-Bill Cheung, Asok Ray

J. Dyn. Sys., Meas., Control. July 2018, 140(7): 074502.

Paper No: DS-17-1506

DOI: https://doi.org/10.1115/1.4039470

Published Online: March 27, 2018

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Topics: Signals, Wavelets, Vapors, Boiling, Vessels, Thermofluids

Journal Articles

Imitation of Demonstrations Using Bayesian Filtering With Nonparametric Data-Driven Models

Nurali Virani, Devesh K. Jha, Zhenyuan Yuan, Ishana Shekhawat, Asok Ray

J. Dyn. Sys., Meas., Control. March 2018, 140(3): 030906.

Paper No: DS-17-1094

DOI: https://doi.org/10.1115/1.4037782

Published Online: November 8, 2017

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Topics: Density, Filtration, Robots, Particulate matter, Simulation, Dynamic models, Filters

Journal Articles

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

Pritthi Chattopadhyay, Sudeepta Mondal, Chandrachur Bhattacharya, Achintya Mukhopadhyay, Asok Ray

J. Mech. Des. November 2017, 139(11): 111419.

Paper No: MD-17-1154

DOI: https://doi.org/10.1115/1.4037307

Published Online: October 2, 2017

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Topics: Algorithms, Combustion chambers, Design, Design methodology, Time series, Pressure, Stability

Journal citation

NARROW

Artificial Neural Network for Automatic Prediction of the Surface Finishing via Classification of the Surface Texture

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

Fatigue Crack Propagation Under Variable-Amplitude Load: Part I — A Deterministic State-Space Model

Fatigue Crack Propagation Under Variable-Amplitude Load: Part II — A Stochastic Model

Robust Damage-Mitigating Control of Mechanical Structures: Experimental Verification on a Test Apparatus

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

On State-Space Modeling and Signal Localization in Dynamical Systems

Transfer Learning for Detection of Combustion Instability Via Symbolic Time-Series Analysis

Early Detection of Fatigue Crack Damage in Ductile Materials: A Projection-Based Probabilistic Finite State Automata Approach

Forecasting and Detection of Fatigue Cracks in Polycrystalline Alloys With Ultrasonic Testing Via Discrete Wavelet Transform

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

Data-Driven Detection and Classification of Regimes in Chaotic Systems Via Hidden Markov Modeling

Online Discovery and Classification of Operational Regimes From an Ensemble of Time Series Data

Symbolic Time Series Analysis for Anomaly Detection in Measure-Invariant Ergodic Systems

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

Dynamic Data-Driven Combustor Design for Mitigation of Thermoacoustic Instabilities

Neural Probabilistic Forecasting of Symbolic Sequences With Long Short-Term Memory

Analysis of Filtered Thermal-Fluid Video Data From Downward Facing Boiling Experiments

Imitation of Demonstrations Using Bayesian Filtering With Nonparametric Data-Driven Models

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

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