Uluğbek AZİMOV, Do Hang NGU

3233

Multiparametric engine optimization with application of biodiesel blends for better performance and lower exhaust gas emissions

Multiparametric engine optimization with application of biodiesel blends for better performance and lower exhaust gas emissions

In this study the performance and emissions characteristics of 8-cylinder, 4-stroke, turbocharged Ford 6.7L diesel engine operating on conventional diesel fuel, different blends of soybean methyl ester (SME) and pure rapeseed methyl ester (RME) have been modelled. A multiparametric optimization was applied using Rosenbrock’s method. It was found that SME B20 was a better choice among other biodiesel blends that showed good emission reduction with little performance differences compared to those of the reference diesel fuel. The optimization analysis allowed achieving 81.8% reduction in NOx emissions and 75.4% reduction in the combined NOx and PM emissions.
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International Journal of Automotive Engineering and Technologies-Cover
  • Başlangıç: 2012
  • Yayıncı: Murat CİNİVİZ
Arşiv
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