Design of Experiment to Predict the Effects of Graphene Nanoplatelets Addition to Diesel Engine Performance

To minimise diesel exhaust emissions, a few methods are commonly used. Engine modifications, combustion optimisation, and system treatment components among them. Fuel additives, such as zinc oxide, titanium aluminium cerium amongst the most effective to increase performance reduce emissions. Even while positive emission reduction outcomes have been demonstrated, there worries concerning health toxicity effects. Carbon nanoparticles accepted fuel additive since they pose little risk human health. A studies undertaken investigate consequences of employing graphene nanoplatelets thanks advancements in research. The findings study seemed encouraging. However, despite detecting effects on performance, no more has forecast engine performance. objective this was predict an for engines. parameters trial were torque, power, BSFC, BTE. Speed, load, blend concentration all considered model. Response surface contour plotting with Minitab software used generate prediction results show that model is within 10% experimental data.