Ceyla Ozgur

Prediction of density and kinematic viscosity of biodiesel by artificial neural networks

ABSTRACT Environmental pollution is one of the biggest issues all over the world. For this reason, researchers try to find alternative fuels for diesel engines, and biodiesel is the most profitable alternate fuel for diesel engines. In this study, biodiesel produced from cotton oil was used. The produced cotton oil biodiesel was mixed with diesel fuel at volumetric fraction of 20, 30, 40, 50, and 75%. Viscosity and density values at different temperatures for each fuel and blends were determined experimentally. Then, artificial neural network technique was used to predict viscosity and density. In this way, temperature and blend ratio were used as input for prediction of fuel properties. To train network, 85% of total data were used, and the remaining 15% of data were used to test prediction performance of structure. Results were compared with linear regression modelling. As a result, artificial neural network gave more accurate results than linear regression and can be suggested as good a prediction method.

PERFORMANCE, EMISSION AND EFFICIENCY ANALYSIS OF A DIESEL ENGINE OPERATED WITH DIESEL AND DIESEL-ETHANOL (E20) BLEND

Conventional fossil fuel sources face with scarcity risk. Therefore, researchers are trying to find new renewable alternative energy sources which have potential to replace conventional sources. MATTER: International Journal of Science and Technology ISSN 2454-5880 Available Online at: http://grdspublishing.org/ 52 Alcohol and biodiesel are prominent sources among others. In this study, performance and emission characteristics of a diesel fuel and ethanol added (20% vol.) diesel fuel (E20) operated compression ignition engine was studied in between 1000 2600 engine speed. Torque, power, specific fuel consumption curves as performance and carbon monoxide (CO), nitrogen oxides (NOx) curves as emission parameters with respect to engine speed were obtained. Energy and exergy efficiency curves versus engine speed in order to assess the system thermodynamically were also obtained. Results showed that, while torque, power, CO emission were decreased, specific fuel consumption, NOx emission were increased with use of diesel-ethanol blends. On the other hand, both energy and exergy efficiency values were decreased when alcohol was added to diesel fuel.

Effects of SCR System on Nox Reduction in Heavy Duty Diesel EngineFuelled with Diesel and Alcohol Blends

The aim of this experimental work was to explore the effects of SCR System on NOx reduction in heavy duty diesel engine fuelled with diesel and alcohol blends. The experimental tests were performed in a 6-cylinder, turbocharged heavy duty diesel engine at full load. In the experimental tests diesel, ethanol, methanol and butanol were used as fuel. The alcohol fuel blends were prepared by mixing low sulphur diesel at volumetric rates of between 5 to 15%. The test results showed that SCR system reduce the NOx emissions 42.6% for diesel fuel. The maximum NOx reduction (43.43%) was achieved with 15% methanol–85% diesel fuel (D85M15) blend.

Determination of the Impacts of Nanoparticule Additives into Diesel Fuel on NOx Emmision Characteristics of a Heavy Duty Diesel Engine

Transport is crucial for economic and social development of a society as it serves a key role for transportation of goods and people. But it is not free of negative externalities. Operation of transport vehicles require energy use and this energy is mostly generated with fossil fuel combustion. Unfortunately, the fossil fuel combustion comes with both global emissions (CO2, N2O, CH4), which cause climate change, and local emissions (PM, NOx, HC, CO, O3), which cause adverse health effects and damage natural environment. In this paper the level of NOx emission by adding fuel additive metal oxide based nanoparticles in heavy duty engines were investigated. Three different nanoparticle additives namely Titanium Oxide (TiO2), Silicon Oxide (SiO2) and Zinc Oxide (ZnO), were added to diesel fuel at the dosages of 15, 20 and 25 ppm. Eventually, the most proper additive and addition dosages were indicated.