Predicting the performance and emissions of an HCCI-DI engine powered by waste cooking oil biodiesel with Al2O3 and FeCl3 nano additives and gasoline injection – A random forest machine learning approach - Concepedia

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Predicting the performance and emissions of an HCCI-DI engine powered by waste cooking oil biodiesel with Al2O3 and FeCl3 nano additives and gasoline injection – A random forest machine learning approach

52

Citations

47

References

2023

Year

G. M. Lionus Leo, Ravikumar Jayabal, Dheepa Srinivasan, M. Chrispin Das, M. Ganesh, Gavaskar Thodda

Chemical EngineeringHcci-di EngineEngineeringBioenergyCombustion ScienceRandom Forest MachineFuture FuelFuel ScienceOil BiodieselAlternative Fuel

References

	Year	Citations

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