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Daniel M. Probst
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Journal Articles

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

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

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

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
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

Optimization and Uncertainty Analysis of a Diesel Engine Operating Point Using Computational Fluid Dynamics

Daniel M. Probst, Peter K. Senecal, Peter Z. Chien, Max X. Xu, Brian P. Leyde
Journal: Journal of Engineering for Gas Turbines and Power
Publisher: ASME
Article Type: Research-Article
J. Eng. Gas Turbines Power. October 2018, 140(10): 102806.
Paper No: GTP-17-1080
https://doi.org/10.1115/1.4040006
Published Online: June 25, 2018
View Articletitled, Optimization and Uncertainty Analysis of a Diesel Engine Operating Point Using Computational Fluid Dynamics
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Topics: Design, Optimization, Simulation, Nitrogen oxides, Computational fluid dynamics, Engines, Diesel engines
Proceedings Papers

Optimization and Uncertainty Analysis of a Diesel Engine Operating Point Using CFD

Daniel M. Probst, Peter K. Senecal, Peter Z. Qian, Max X. Xu, Brian P. Leyde
Proc. ASME. ICEF2016, ASME 2016 Internal Combustion Engine Division Fall Technical Conference, V001T06A009, October 9–12, 2016
Publisher: American Society of Mechanical Engineers
Paper No: ICEF2016-9345
https://doi.org/10.1115/ICEF2016-9345
View Paper titled, Optimization and Uncertainty Analysis of a Diesel Engine Operating Point Using CFD
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Topics: Computational fluid dynamics, Diesel engines, Optimization, Uncertainty analysis, Design, Simulation, Engines, Uncertainty, Computer software, Emissions