Application of response surface methodology in optimization of performance and exhaust emissions of secondary butyl alcohol-gasoline blends in SI engine

摘要: Abstract Producing an optimal balance between engine performance and exhaust emissions has always been one of the main challenges in automotive technology. This paper examines use RSM (response surface methodology) to optimize performance, a spark-ignition (SI) which operates with 2-butanol–gasoline blends 5%, 10%, 15% called GBu5, GBu10, GBu15. In experiments, ran at various speeds for each test fuel 13 different conditions were constructed. The optimization independent variables was performed by means statistical tool known as DoE (design experiments). desirability approach employed aim minimizing maximizing parameters. Based on model, characteristics revealed that increments 2-butanol blended fuels lead increasing trends brake power, mean effective pressure thermal efficiency. Nonetheless, marginal higher specific consumption observed. Furthermore, model suggests presence exhibits decreasing trend nitrogen oxides, carbon monoxides, unburnt hydrocarbon, however, observed dioxides emissions. It established from study GBu15 blend speed 3205 rpm found be provide best compared other tested blends.