Applied AMT machine learning and multi-objective optimization for enhanced performance and reduced environmental impact of sunflower oil biodiesel in compression ignition engine

Author:

Al-jabiri Ali A.,Balla Hyder H.,Al-zuhairy Mudhaffar S.,Alahmer Hussein,Al-Manea Ahmed,Al-Rbaihat Raed,Alahmer AliORCID

Funder

National Science Foundation

Publisher

Elsevier BV

Reference104 articles.

1. Combustion characteristics of CI engine fueled with WCO biodiesel/diesel blends at different compression ratios and EGR;Ali;Heat Transf,2023

2. Exergy, energy, and emissions analyses of binary and ternary blends of seed waste biodiesel of tomato, papaya, and apricot in a diesel engine;Karami;Energy Convers. Manag. X.,2022

3. An overview of hydrogen production techniques: challenges and limiting factors in achieving wide-scale productivity;Ahmed;AIP Conf. Proc.,2024

4. Improving the combustion and emission performance of a diesel engine with TiO2 nanoparticle blended Mahua biodiesel at different injection pressures;Simhadri;Int. J. Thermofluids.,2024

5. A review on latest trends in cleaner biodiesel production: role of feedstock, production methods, and catalysts;Maheshwari;J. Clean. Prod.,2022

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