Analysis of titanium coated silencer exhaust gas emission in automobile vehicle using artificial neural network

In developing countries like India, pollution is a major environmental problem. Among various factors of pollution, vehicular pollutions contribute major part in urban areas. The National Environmental Engineering Research Institute has estimated that about 60–70% of total air pollution is caused by automobiles in all major cities.For a perfect vehicular emissions model, Real world driving characteristics have to be analyzed. It is necessary to investigate the relationship between various parameters such as speed, age, power and driving behaviour of the vehicle. Vehicles particularly emit gases such as CO, CO2, HC, NOX, and O2. They are measured with five gas analyzer to find out the emission rates of four stroke two wheeler vehicles under static and dynamic condition. The factors considered are the age, power of the vehicle and driving behaviour. From the emission rates a prediction model is developed using artificial neural network and the composition of air pollutants will be calculated and then compared with emission standards.