Prediction of the Performance and emission characteristics of diesel engine using diphenylamine Antioxidant and ceria nanoparticle additives with biodiesel based on machine learning

Kumar, Vijay; Choudhary, Akhilesh Kumar

doi:10.1016/j.energy.2024.131746

Energy

2024

DOI: 10.1016/j.energy.2024.131746

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Prediction of the Performance and emission characteristics of diesel engine using diphenylamine Antioxidant and ceria nanoparticle additives with biodiesel based on machine learning

Vijay Kumar,

Akhilesh Kumar Choudhary

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Cited by 7 publications

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Prediction of the Performance and emission characteristics of diesel engine using diphenylamine Antioxidant and ceria nanoparticle additives with biodiesel based on machine learning

Cited by 7 publications

References 50 publications

Forecasting the performance and emissions of a diesel engine powered by waste cooking biodiesel with carbon nano additives using tree-based, least square boost and Gaussian regression models

Forecasting the performance and emissions of a diesel engine powered by waste cooking biodiesel with carbon nano additives using tree-based, least square boost and Gaussian regression models

Vibration and Noise of Diesel engine Using Calophyllum inophyllum Biodiesel and MoO3 nanoparticles: Experimental and machine learning study

Role of hydrogen-enrichment on performance and emission characteristics of a diesel engine fuelled with metal oxide nanoparticles added biodiesel/diesel blends:A combined neuro Fuzzy-Gaussian Mixture Model analysis

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