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Proceedings Papers

Reinforcement Learning Based Control of an Organic Rankine Cycle Waste Heat Recovery System Over a Drive Cycle for Heavy-Duty Diesel Engines

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Daniel Egan, Bin Xu, Qilun Zhu, Robert Prucka
Proc. ASME. ICEF2022, ASME 2022 ICE Forward Conference, V001T04A008, October 16–19, 2022
Publisher: American Society of Mechanical Engineers
Paper No: ICEF2022-94827
https://doi.org/10.1115/ICEF2022-94827
View Paper titled, Reinforcement Learning Based Control of an Organic Rankine Cycle Waste Heat Recovery System Over a Drive Cycle for Heavy-Duty Diesel Engines
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Topics: Cycles, Diesel engines, Heat recovery, Organic Rankine cycle, Reinforcement learning
Proceedings Papers

Temperature Dependent Removal Efficiency of Crankcase Control Devices

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Myles D. Hicks, William F. Northrop, Daniel Potratz, David B. Kittelson
Proc. ASME. ICEF2022, ASME 2022 ICE Forward Conference, V001T04A007, October 16–19, 2022
Publisher: American Society of Mechanical Engineers
Paper No: ICEF2022-92020
https://doi.org/10.1115/ICEF2022-92020
View Paper titled, Temperature Dependent Removal Efficiency of Crankcase Control Devices
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Topics: Condensation, Evaporation, Filtration, Particle size, Temperature, Ventilation, Particulate matter, Drops, Ducts, Aerosols
Proceedings Papers

Analysis of Combustion Characteristics and Tailpipe Emissions of Spark-Ignition Engines During the Three-Way Catalyst Warm-Up Phase

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Pedro Piqueras, Joaquín de la Morena, Enrique José Sanchis, Rafael Pitarch
Proc. ASME. ICEF2022, ASME 2022 ICE Forward Conference, V001T04A002, October 16–19, 2022
Publisher: American Society of Mechanical Engineers
Paper No: ICEF2022-88806
https://doi.org/10.1115/ICEF2022-88806
View Paper titled, Analysis of Combustion Characteristics and Tailpipe Emissions of Spark-Ignition Engines During the Three-Way Catalyst Warm-Up Phase
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Topics: Catalysts, Combustion, Emissions, Spark-ignition engine
Proceedings Papers

Control-Oriented Reduced-Order Modelling of Conversion Efficiency in Dual-Layer Washcoat Catalysts With Accumulation and Oxidation Functions

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Pedro Piqueras, Benjamín Pla, Enrique José Sanchis, Elena García
Proc. ASME. ICEF2022, ASME 2022 ICE Forward Conference, V001T04A001, October 16–19, 2022
Publisher: American Society of Mechanical Engineers
Paper No: ICEF2022-88510
https://doi.org/10.1115/ICEF2022-88510
View Paper titled, Control-Oriented Reduced-Order Modelling of Conversion Efficiency in Dual-Layer Washcoat Catalysts With Accumulation and Oxidation Functions
Open the PDF for Control-Oriented Reduced-Order Modelling of Conversion Efficiency in Dual-Layer Washcoat Catalysts With Accumulation and Oxidation Functions in another window
Topics: Catalysts, Modeling, Oxidation, Mass transfer, Cycles, Flow (Dynamics), Air pollution control, Computation, Diesel, Exhaust systems
Proceedings Papers

A Design Approach of a Dedicated EGR-System for a Naturally Aspirated Gas Engine - From 1D Engine Process Simulation and Design of Experiments Up to the Experimental Validation

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Youssef Beltaifa, Maurice Kettner, Peter Eilts, Bosse Ruchel
Proc. ASME. ICEF2022, ASME 2022 ICE Forward Conference, V001T04A004, October 16–19, 2022
Publisher: American Society of Mechanical Engineers
Paper No: ICEF2022-89044
https://doi.org/10.1115/ICEF2022-89044
View Paper titled, A Design Approach of a Dedicated EGR-System for a Naturally Aspirated Gas Engine - From 1D Engine Process Simulation and Design of Experiments Up to the Experimental Validation
Open the PDF for A Design Approach of a Dedicated EGR-System for a Naturally Aspirated Gas Engine - From 1D Engine Process Simulation and Design of Experiments Up to the Experimental Validation in another window
Topics: Computational fluid dynamics, Cylinders, Design, Engines, Exhaust gas recirculation, Experimental design, Process simulation
Proceedings Papers

Machine Learning-Based Fault Detection and Diagnosis of Internal Combustion Engines Using an Optical Crank Angle Encoder

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Hosna Geraei, Essam Seddik, Ghabi Neame, Elliot (Yixin) Huangfu, Saeid Habibi
Proc. ASME. ICEF2022, ASME 2022 ICE Forward Conference, V001T04A003, October 16–19, 2022
Publisher: American Society of Mechanical Engineers
Paper No: ICEF2022-88851
https://doi.org/10.1115/ICEF2022-88851
View Paper titled, Machine Learning-Based Fault Detection and Diagnosis of Internal Combustion Engines Using an Optical Crank Angle Encoder
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Topics: Fast Fourier transforms, Flaw detection, Internal combustion engines, Machinery, Principal component analysis
Proceedings Papers

Machine Learning and Genetic Algorithm Method for Powertrain Development: Rapid Generation of Engine Calibration Maps

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Zachary L. Williams, Prathik Meruva, Daniel Christopher Bitsis, Jr.
Proc. ASME. ICEF2022, ASME 2022 ICE Forward Conference, V001T04A006, October 16–19, 2022
Publisher: American Society of Mechanical Engineers
Paper No: ICEF2022-91169
https://doi.org/10.1115/ICEF2022-91169
View Paper titled, Machine Learning and Genetic Algorithm Method for Powertrain Development: Rapid Generation of Engine Calibration Maps
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Topics: Artificial neural networks, Calibration, Engines, Genetic algorithms, Machine learning
Proceedings Papers

An Experimental Study on the Performance and Durability of Nanostructured Spark Plugs

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Md Nayer Nasim, Behlol Nawaz, Oliver A. Dyakov, J. Hunter Mack
Proc. ASME. ICEF2022, ASME 2022 ICE Forward Conference, V001T04A005, October 16–19, 2022
Publisher: American Society of Mechanical Engineers
Paper No: ICEF2022-90609
https://doi.org/10.1115/ICEF2022-90609
View Paper titled, An Experimental Study on the Performance and Durability of Nanostructured Spark Plugs
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Topics: Combustion chambers, Durability, Methane, Nanostructures , Electrodes, Surface roughness, Lasers, Emissions, Fuels, Gas engines