Machine learning-based prediction and optimization of performance and emission characteristics in CI engines fueled by pumpkin seed biodiesel with thermal barrier coating and cerium oxide nanoparticles

Key Points

• Performance optimization results in significant emission reductions and efficiency improvements with cerium oxide nanoparticles and thermal barrier coatings.
• Key metrics indicate that engines achieve up to 15% higher efficiency when using pumpkin seed biodiesel with advanced coatings.
• Analysis focused on machine learning algorithms applied to thermal barrier coatings for improved combustion efficiency in CI engines.
• This optimization may enable greener engine technology, warranting further exploration in diverse operational settings.