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Journal Articles

Engine Combustion System Optimization Using Computational Fluid Dynamics and Machine Learning: A Methodological Approach

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Jihad A. Badra, Fethi Khaled, Meng Tang, Yuanjiang Pei, Janardhan Kodavasal, Pinaki Pal, Opeoluwa Owoyele, Carsten Fuetterer, Brenner Mattia, Farooq Aamir
Journal: Journal of Energy Resources Technology
Publisher: ASME
Article Type: Research Papers
J. Energy Resour. Technol. February 2021, 143(2): 022306.
Paper No: JERT-20-1594
https://doi.org/10.1115/1.4047978
Published Online: August 27, 2020
View Articletitled, Engine Combustion System Optimization Using Computational Fluid Dynamics and Machine Learning: A Methodological Approach
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Topics: Algorithms, Computational fluid dynamics, Design, Engines, Machine learning, Optimization, Pistons, Machinery, Robustness, Internal combustion engines
Proceedings Papers

Engine Combustion System Optimization Using CFD and Machine Learning: A Methodological Approach

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Jihad Badra, Fethi Khaled, Meng Tang, Yuanjiang Pei, Janardhan Kodavasal, Pinaki Pal, Opeoluwa Owoyele, Carsten Fuetterer, Mattia Brenner, Aamir Farooq
Proc. ASME. ICEF2019, ASME 2019 Internal Combustion Engine Division Fall Technical Conference, V001T06A007, October 20–23, 2019
Publisher: American Society of Mechanical Engineers
Paper No: ICEF2019-7238
https://doi.org/10.1115/ICEF2019-7238
View Paper titled, Engine Combustion System Optimization Using CFD and Machine Learning: A Methodological Approach
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Topics: Combustion systems, Computational fluid dynamics, Engines, Machine learning, Optimization, Pistons
Journal Articles

Predicting Cycle-to-Cycle Variation With Concurrent Cycles in a Gasoline Direct Injected Engine With Large Eddy Simulations

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Daniel M. Probst, Sameera Wijeyakulasuriya, Eric Pomraning, Janardhan Kodavasal, Riccardo Scarcelli, Sibendu Som
Journal: Journal of Energy Resources Technology
Publisher: ASME
Article Type: Research Papers
J. Energy Resour. Technol. April 2020, 142(4): 042202.
Paper No: JERT-19-1292
https://doi.org/10.1115/1.4044766
Published Online: September 25, 2019
View Articletitled, Predicting Cycle-to-Cycle Variation With Concurrent Cycles in a Gasoline Direct Injected Engine With Large Eddy Simulations
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Topics: Cycles, Engines, Pressure, Combustion, Silicon-on-insulator
Journal Articles

Evaluating Optimization Strategies for Engine Simulations Using Machine Learning Emulators

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Daniel M. Probst, Mandhapati Raju, Peter K. Senecal, Janardhan Kodavasal, Pinaki Pal, Sibendu Som, Ahmed A. Moiz, Yuanjiang Pei
Journal: Journal of Engineering for Gas Turbines and Power
Publisher: ASME
Article Type: Research-Article
J. Eng. Gas Turbines Power. September 2019, 141(9): 091011.
Paper No: GTP-19-1208
https://doi.org/10.1115/1.4043964
Published Online: June 20, 2019
View Articletitled, Evaluating Optimization Strategies for Engine Simulations Using Machine Learning Emulators
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Topics: Algorithms, Engines, Optimization, Simulation, Machine learning
Proceedings Papers

Computational Fluid Dynamics Simulation of an Opposed-Piston Two-Stroke Gasoline Compression Ignition Engine

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Ahmed Abdul Moiz, Janardhan Kodavasal, Sibendu Som, Reed Hanson, Fabien Redon, Rodrigo Zermeno
Proc. ASME. ICEF2018, Volume 2: Emissions Control Systems; Instrumentation, Controls, and Hybrids; Numerical Simulation; Engine Design and Mechanical Development, V002T06A021, November 4–7, 2018
Publisher: American Society of Mechanical Engineers
Paper No: ICEF2018-9713
https://doi.org/10.1115/ICEF2018-9713
View Paper titled, Computational Fluid Dynamics Simulation of an Opposed-Piston Two-Stroke Gasoline Compression Ignition Engine
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Topics: Computational fluid dynamics, Diesel engines, Gasoline, Pistons, Simulation, Engines, Combustion, Cycles, Cylinders, Ejectors
Proceedings Papers

Predicting Cycle-to-Cycle Variation With Concurrent Cycles in a Gasoline Direct Injected Engine With Large Eddy Simulations

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Daniel Probst, Sameera Wijeyakulasuriya, Eric Pomraning, Janardhan Kodavasal, Riccardo Scarcelli, Sibendu Som
Proc. ASME. ICEF2018, Volume 2: Emissions Control Systems; Instrumentation, Controls, and Hybrids; Numerical Simulation; Engine Design and Mechanical Development, V002T06A022, November 4–7, 2018
Publisher: American Society of Mechanical Engineers
Paper No: ICEF2018-9722
https://doi.org/10.1115/ICEF2018-9722
View Paper titled, Predicting Cycle-to-Cycle Variation With Concurrent Cycles in a Gasoline Direct Injected Engine With Large Eddy Simulations
Open the PDF for Predicting Cycle-to-Cycle Variation With Concurrent Cycles in a Gasoline Direct Injected Engine With Large Eddy Simulations in another window
Topics: Cycles, Engines, Gasoline, Large eddy simulation, Combustion, Simulation, Exhaust gas recirculation, Pressure, Clocks, Cylinders
Proceedings Papers

Evaluating Optimization Strategies for Engine Simulations Using Machine Learning Emulators

Available to Purchase

Daniel M. Probst, Mandhapati Raju, Peter K. Senecal, Janardhan Kodavasal, Pinaki Pal, Sibendu Som, Ahmed A. Moiz, Yuanjiang Pei
Proc. ASME. ICEF2018, Volume 2: Emissions Control Systems; Instrumentation, Controls, and Hybrids; Numerical Simulation; Engine Design and Mechanical Development, V002T06A023, November 4–7, 2018
Publisher: American Society of Mechanical Engineers
Paper No: ICEF2018-9726
https://doi.org/10.1115/ICEF2018-9726
View Paper titled, Evaluating Optimization Strategies for Engine Simulations Using Machine Learning Emulators
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Topics: Engineering simulation, Engines, Machine learning, Optimization, Simulation, Computational fluid dynamics, Algorithms, Clocks, Optimization algorithms, Particle swarm optimization
Journal Articles

Using Machine Learning to Analyze Factors Determining Cycle-to-Cycle Variation in a Spark-Ignited Gasoline Engine

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Janardhan Kodavasal, Ahmed Abdul Moiz, Muhsin Ameen, Sibendu Som
Journal: Journal of Energy Resources Technology
Publisher: ASME
Article Type: Research-Article
J. Energy Resour. Technol. October 2018, 140(10): 102204.
Paper No: JERT-18-1132
https://doi.org/10.1115/1.4040062
Published Online: May 15, 2018
View Articletitled, Using Machine Learning to Analyze Factors Determining Cycle-to-Cycle Variation in a Spark-Ignited Gasoline Engine
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Topics: Cycles, Engines, Flames, Flow (Dynamics), Ignition, Simulation, Machine learning
Proceedings Papers

Machine Learning Analysis of Factors Impacting Cycle-to-Cycle Variation in a Gasoline Spark-Ignited Engine

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Janardhan Kodavasal, Ahmed Abdul Moiz, Muhsin Ameen, Sibendu Som
Proc. ASME. ICEF2017, Volume 2: Emissions Control Systems; Instrumentation, Controls, and Hybrids; Numerical Simulation; Engine Design and Mechanical Development, V002T06A020, October 15–18, 2017
Publisher: American Society of Mechanical Engineers
Paper No: ICEF2017-3604
https://doi.org/10.1115/ICEF2017-3604
View Paper titled, Machine Learning Analysis of Factors Impacting Cycle-to-Cycle Variation in a Gasoline Spark-Ignited Engine
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Topics: Cycles, Engines, Gasoline, Machine learning, Cylinders, Flames, Flow (Dynamics), Ignition, Pressure, Topology
Proceedings Papers

Analysis of the Impact of Uncertainties in Inputs on CFD Predictions of Gasoline Compression Ignition

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Janardhan Kodavasal, Stephen Ciatti, Sibendu Som
Proc. ASME. ICEF2016, ASME 2016 Internal Combustion Engine Division Fall Technical Conference, V001T06A006, October 9–12, 2016
Publisher: American Society of Mechanical Engineers
Paper No: ICEF2016-9328
https://doi.org/10.1115/ICEF2016-9328
View Paper titled, Analysis of the Impact of Uncertainties in Inputs on CFD Predictions of Gasoline Compression Ignition
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Topics: Compression, Computational fluid dynamics, Gasoline, Ignition, Uncertainty, Combustion, Boundary-value problems, Emissions, Engines, Fuels
Journal Articles

Development of a Stiffness-Based Chemistry Load Balancing Scheme, and Optimization of Input/Output and Communication, to Enable Massively Parallel High-Fidelity Internal Combustion Engine Simulations

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Janardhan Kodavasal, Kevin Harms, Priyesh Srivastava, Sibendu Som, Shaoping Quan, Keith Richards, Marta García
Journal: Journal of Energy Resources Technology
Publisher: ASME
Article Type: Research-Article
J. Energy Resour. Technol. September 2016, 138(5): 052203.
Paper No: JERT-16-1022
https://doi.org/10.1115/1.4032623
Published Online: February 23, 2016
View Articletitled, Development of a Stiffness-Based Chemistry Load Balancing Scheme, and Optimization of Input/Output and Communication, to Enable Massively Parallel High-Fidelity Internal Combustion Engine Simulations
Open the PDF for Development of a Stiffness-Based Chemistry Load Balancing Scheme, and Optimization of Input/Output and Communication, to Enable Massively Parallel High-Fidelity Internal Combustion Engine Simulations in another window
Topics: Chemistry, Simulation, Stiffness, Stress, Computational fluid dynamics, Combustion, Optimization, Cycles, Engines
Proceedings Papers

Development of a Stiffness-Based Chemistry Load Balancing Scheme, and Optimization of I/O and Communication, to Enable Massively Parallel High-Fidelity Internal Combustion Engine Simulations

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Janardhan Kodavasal, Kevin Harms, Priyesh Srivastava, Sibendu Som, Shaoping Quan, Keith Richards, Marta García
Proc. ASME. ICEF2015, Volume 2: Emissions Control Systems; Instrumentation, Controls, and Hybrids; Numerical Simulation; Engine Design and Mechanical Development, V002T06A009, November 8–11, 2015
Publisher: American Society of Mechanical Engineers
Paper No: ICEF2015-1035
https://doi.org/10.1115/ICEF2015-1035
View Paper titled, Development of a Stiffness-Based Chemistry Load Balancing Scheme, and Optimization of I/O and Communication, to Enable Massively Parallel High-Fidelity Internal Combustion Engine Simulations
Open the PDF for Development of a Stiffness-Based Chemistry Load Balancing Scheme, and Optimization of I/O and Communication, to Enable Massively Parallel High-Fidelity Internal Combustion Engine Simulations in another window
Topics: Chemistry, Internal combustion engines, Optimization, Simulation, Stiffness, Stress, Ignition, Algorithms, Chemical kinetics, Computational fluid dynamics
Journal Articles

Computational Fluid Dynamics Simulation of Gasoline Compression Ignition

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Janardhan Kodavasal, Christopher P. Kolodziej, Stephen A. Ciatti, Sibendu Som
Journal: Journal of Energy Resources Technology
Publisher: ASME
Article Type: Research-Article
J. Energy Resour. Technol. May 2015, 137(3): 032212.
Paper No: JERT-15-1029
https://doi.org/10.1115/1.4029963
Published Online: May 1, 2015
View Articletitled, Computational Fluid Dynamics Simulation of Gasoline Compression Ignition
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Topics: Combustion, Computational fluid dynamics, Fuels, Ignition, Silicon-on-insulator, Simulation, Gasoline, Temperature, Pressure, Cylinders
Proceedings Papers

CFD Simulation of Gasoline Compression Ignition

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Janardhan Kodavasal, Christopher Kolodziej, Stephen Ciatti, Sibendu Som
Proc. ASME. ICEF2014, Volume 2: Instrumentation, Controls, and Hybrids; Numerical Simulation; Engine Design and Mechanical Development; Keynote Papers, V002T06A008, October 19–22, 2014
Publisher: American Society of Mechanical Engineers
Paper No: ICEF2014-5591
https://doi.org/10.1115/ICEF2014-5591
View Paper titled, CFD Simulation of Gasoline Compression Ignition
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Topics: Compression, Computational fluid dynamics, Gasoline, Ignition, Simulation, Combustion, Silicon-on-insulator, Turbulence, Chemistry, Fuels