Enhancing Engine Performance and Sustainability: Gold Nanoparticles and Machine Learning for Biodiesel Optimization in Compression Ignition Systems.

ABSTRACT: Nanotechnology and machine learning are transforming energy systems by enhancing engine efficiency and sustainability. The integration of advanced nanomaterials, such as gold nanoparticles (AuNPs), with predictive modeling offers new opportunities for optimizing biodiesel performance in compression ignition (CI) engines. This study aims to develop and evaluate a novel biodiesel blend using 50% waste cooking oil and 50% Simarouba oil, enhanced with gold nanoparticles, and to apply machine learning for performance prediction and optimization in CI engines. Gold nanoparticles were synthesized from a plant extract and characterized by UV-visible spectrophotometry, confirming their presence at an absorption peak of 650 nm. Biodiesel blends (B20, B40, B60, and B80) were prepared and tested in a

SUBMITTER: Gadagi A 

PROVIDER: S-EPMC12529385 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature