Journal of Thermal Engineering
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Investigation on the optimization of performance and emission characteristics of a VCR diesel engine fueled with Chlorella vulgaris biodiesel using Al₂ O₃ and ZnO nanoparticles: a GreyTaguchi and artificial neural network (ANN) approach
Third-generation algae biofuels, made from biomass, are a promising renewable fuel due to their low carbon footprint. In internal combustion engines, it hinders combustion and performance. This study aims to improve engine efficiency by blending algae biodiesel with nano additives. First, Grey-Taguc
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