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Proc. ASME. ICEF2018, Volume 2: Emissions Control Systems; Instrumentation, Controls, and Hybrids; Numerical Simulation; Engine Design and Mechanical Development, V002T06A022, November 4–7, 2018

Paper No: ICEF2018-9722

DOI: https://doi.org/10.1115/ICEF2018-9722

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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

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

Paper No: ICEF2018-9726

DOI: https://doi.org/10.1115/ICEF2018-9726

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Topics: Engineering simulation, Engines, Machine learning, Optimization, Simulation, Computational fluid dynamics, Algorithms, Clocks, Optimization algorithms, Particle swarm optimization

Proceedings Papers

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

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

Paper No: ICEF2018-9713

DOI: https://doi.org/10.1115/ICEF2018-9713

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Topics: Computational fluid dynamics, Diesel engines, Gasoline, Pistons, Simulation, Engines, Combustion, Cycles, Cylinders, Ejectors

Journal Articles

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

Janardhan Kodavasal, Ahmed Abdul Moiz, Muhsin Ameen, Sibendu Som

J. Energy Resour. Technol. October 2018, 140(10): 102204.

Paper No: JERT-18-1132

DOI: https://doi.org/10.1115/1.4040062

Published Online: May 15, 2018

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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

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

Paper No: ICEF2017-3604

DOI: https://doi.org/10.1115/ICEF2017-3604

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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

Janardhan Kodavasal, Stephen Ciatti, Sibendu Som

Proc. ASME. ICEF2016, ASME 2016 Internal Combustion Engine Division Fall Technical Conference, V001T06A006, October 9–12, 2016

Paper No: ICEF2016-9328

DOI: https://doi.org/10.1115/ICEF2016-9328

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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

Janardhan Kodavasal, Kevin Harms, Priyesh Srivastava, Sibendu Som, Shaoping Quan, Keith Richards, Marta García

J. Energy Resour. Technol. September 2016, 138(5): 052203.

Paper No: JERT-16-1022

DOI: https://doi.org/10.1115/1.4032623

Published Online: February 23, 2016

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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

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

Paper No: ICEF2015-1035

DOI: https://doi.org/10.1115/ICEF2015-1035

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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

Janardhan Kodavasal, Christopher P. Kolodziej, Stephen A. Ciatti, Sibendu Som

J. Energy Resour. Technol. May 2015, 137(3): 032212.

Paper No: JERT-15-1029

DOI: https://doi.org/10.1115/1.4029963

Published Online: May 1, 2015

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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

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

Paper No: ICEF2014-5591

DOI: https://doi.org/10.1115/ICEF2014-5591

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Topics: Compression, Computational fluid dynamics, Gasoline, Ignition, Simulation, Combustion, Silicon-on-insulator, Turbulence, Chemistry, Fuels

Journal citation

NARROW

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

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

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

Evaluating Optimization Strategies for Engine Simulations Using Machine Learning Emulators

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

Evaluating Optimization Strategies for Engine Simulations Using Machine Learning Emulators

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

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

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

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

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

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

Computational Fluid Dynamics Simulation of Gasoline Compression Ignition

CFD Simulation of Gasoline Compression Ignition

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