Abstract
In this work it is attempted to optimize the combustion parameters such as instantaneous heat release (IH), cylinder Pressure (P) and rate of change of pressure per degree crank angle (dP/do)) and the emissions characteristics such as NO and Smoke of a x turbocharged direct injection (DI) compression ignition (CI) engine alternatively run on pure biodiesel (B100), diesel and biodiesel-diesel blend (B20) applying Grey Taguchi method (GTM). GTM is used to convert multi variables into a single objective function. The process environment comprising three input parameters (speed of the engine, load and type of fuel) were used in this case. The design of experiment (DOE) 3 was selected on an orthogonal array based on L (3 ). 9 The Optimum Parameters were found on the basis of Grey Relational Grade (GRG) and signal to noise (SN) ratio using GTM. The resulted optimum combination of the input parameters was used to get maximum possible values of IH, P and least possible values of NO , smoke & dP/do. The higher values of IH and P x measure the better performance of the engine, while lower values of NO , smoke and dP/do are the ultimate x objectives of the study. According to the results It was revealed that B100 fuel, 1800 rpm speed and 10% load offer the optimum combination for the desired performance of the engine along with reduced pollutants. Analysis of Variance (ANOVA) based on a software Minitab 16 was used to get the most significant input parameter keeping in view responses. Fuel type and engine load were found to be the dominant factors with 48.16% and 43.18% impact on the output parameters, respectively. Finally the results were validated using Artificial Neural Network (ANN) through Mat lab.
Keyword(s)
Biodiesel, Turbocharged, Diesel Engine, Grey Taguchi Method, ANN, SN Ratio, GRG