The fuzzy logic modeling of diesel engine emissions using fuel mixed with different ratios of hydrogen
Journal Title: International Journal of Automotive Engineering and Technologies - Year 2013, Vol 2, Issue 4
Abstract
In this study a Rule Based Mamdani-Type Fuzzy Modelling (RBMTF) was used to model and determine exhaust gas emissions of CO, CO2 and NOx of a single cylinder, four strokes, air cooled engine where a certain amount of hydrogen was mixed with the fuel. The RBMTF was developed on MATLAB Fuzzy Logic Toolbox software and supported with additional programs written on the MATLAB. The RBMTF model was designed to have two input parameters (the amount of hydrogen mixed into the diesel fuel and the engine speed) and one output parameter (the emission rates of CO, CO2 and NOx ) described by the ‘if then rules’. When the results obtained from RBMTF and statistical analyses of experimental data were compared, it was determined that R2 values were 97.7 % in CO, 96.84 CO2 and 97.31 % in NOx. These results were considered to be statistically acceptable and the exhaust emission values in hydrogen mixture rates not performed in experimental studies were predicted using RBMTF. As a result, the best results were obtained at the engine speed of 2400 rpm and 20% hydrogen by volume of the fuel.
Authors and Affiliations
Ali Ates*| Selcuk University, Department of Mechanical Engineering, Konya, Turkey, Talip Akbiyik| Necmettin Erbakan University, Seydisehir Vocational Technical College, Konya, Turkey, Kevser Dincer| Selcuk University, Department of Mechanical Engineering, Konya, Turkey
Keywords
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- EP ID EP3880
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