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Skip to Search Results- 3Internal Combustion Engines
- 2Deep Learning
- 2Machine Learning
- 1 Electrochemical sensors
- 1Amperometric sensor
- 1Diesel Engine
- 1 Koch, Charles Robert (Department of Mechanical engineering)
- 1Charles Robert (Bob) Koch (Mechanical Engineering)
- 1Koch, C. R. Bob (Mechanical Engineering)
- 1Robert E Hayes (Chemical and Material Engineering) Co-supervisor
- 1Shahbakhti, Mahdi (Department of Mechanical engineering)
- 1Shahbakhti, Mahdi (Mechanical Engineering)
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Fall 2022
Internal Combustion Engines (ICEs) are ubiquitous; they power a wide range of systems. The broad use of ICEs globally causes more than 20% of the total greenhouse gas emissions. In many countries, emission legislation is transitioning from certification using only traditional chassis dynomometer...
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Machine Learning for Emission Modeling of Fossil-fueled and Hydrogen-fueled Internal Combustion Engines
DownloadFall 2023
Development of fast and accurate emission models for engine-out and tailpipe of internal combustion engines (ICEs) using machine learning (ML) and hybrid methods are the focus of this thesis. The application is on medium and heavy-duty vehicles powered by both fossil fuels and alternative fuels...
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Fall 2019
Production engine emission sensors have become essential for on-board measurement in the exhaust gas and for engine feedback control. To help design future amperometric sensors, first the diffusion mechanism of a zirconia-based amperometric NOx sensor was examined by studying the effect of sensor...