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Keywords: machine learning
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Proceedings Papers

Proc. ASME. ICEF2023, ASME 2023 ICE Forward Conference, V001T02A004, October 8–11, 2023
Publisher: American Society of Mechanical Engineers
Paper No: ICEF2023-109879
... Academy, Annapolis, MD 2 US Navy, Pax River NAS, Pax River, MD ABSTRACT A database of physical and chemical properties from one- hundred different jet fuels was used to create supervised Machine Learning (ML) models that predict Derived Cetane Number (DCN) as well as an unsupervised Self Organizing Map...
Proceedings Papers

Proc. ASME. ICEF2022, ASME 2022 ICE Forward Conference, V001T02A004, October 16–19, 2022
Publisher: American Society of Mechanical Engineers
Paper No: ICEF2022-89295
... Abstract Nearly four hundred different samples of jet and diesel fuels were used to train and test Machine Learning (ML) models for Derived Cetane Number (DCN – ASTM D6890) prediction using eight of the fuels’ physical properties as model inputs. Linear Regression (LR), Artificial Neural...
Proceedings Papers

Proc. ASME. ICEF2022, ASME 2022 ICE Forward Conference, V001T04A006, October 16–19, 2022
Publisher: American Society of Mechanical Engineers
Paper No: ICEF2022-91169
... neural network machine learning (ML) models which were trained on different test-train data splits of test-cell recorded steady-state medium-duty (MD) diesel engine data. The output data was used to develop engine actuator maps by utilizing a genetic algorithm (GA). The genetic algorithm contains...
Proceedings Papers

Proc. ASME. ICEF2021, ASME 2021 Internal Combustion Engine Division Fall Technical Conference, V001T03A005, October 13–15, 2021
Publisher: American Society of Mechanical Engineers
Paper No: ICEF2021-67888
... simulations, whereby the transient injection profiles are emulated for a side-oriented, single-hole diesel injector using a Bayesian machine-learning framework. First, an interpretable Bayesian learning strategy was employed to understand the effect of design parameters on the total void fraction field...
Proceedings Papers

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
... Abstract Gasoline compression ignition (GCI) engines are considered an attractive alternative to traditional spark-ignition and diesel engines. In this work, a Machine Learning-Grid Gradient Algorithm (ML-GGA) approach was developed to optimize the performance of internal combustion engines...