• Dr. P. Badari Narayana
• Dr. R. Manjunatha
• U. Jagadeesh Reddy

Bioethanol is a most promising substitute fuel for gasoline. National biofuel policy 2018, redefined the usage of bioethanol blended up to 10% with petrol to be made available for the transportation sector. There is a requirement for analysing SI engine’s performance and emission characteristics for various blends of bioethanol with gasoline. Artificial neural networks is a diagnostic software paradigm suitable for simulating the function approximation problems such as petrol engine performance and emission analysis. Analysing thermodynamic relationship between the input and output variables of a spark ignition engine operated with various bioethanol blends is complex and experimentation is time consuming. Hence, in this work, operating data of bioethanol blends is utilized and a prediction model is developed. Input variables of combustion modeling are percentage of gasoline, percentage of ethanol, calorific value, octane number, specific gravity of the blends, compression ratio, brake pressure, brake specific fuel consumption and exhaust gas temperature (EGT). Output variables are Brake Thermal Efficiency (BTE), and emissions (CO and HC). Simulation & modeling of the input-output relationship is performed using advanced neuro-fuzzy modelling technique known as Adaptive Neuro-fuzzy Inference System (ANFIS). The experimental data on bioethanol-gasoline blends of single cylinder variable compression ratio engine is taken as basis to train ANFIS. After successful training, neuro-fuzzy algorithm predicts the output values for new testing data. The RMSE values are found to be 0.00024 for BTE, 0.000133 for CO and 0.000256 for HC emissions and Coefficient of Determination R2 is 0.96, 0.95 and 0.94 respectively for BTE, CO and HC. This work successfully demonstrates the application of ANFIS for performance and emissions modeling of petrol engine operated with bioethanol blends.

Adaptive Neuro-Fuzzy Inference System (ANFIS), Clustering, Alternate fuel-Ethyl alcohol, VCR Engine Performance, Exhaust Emissions-(Co and HC), CoD, MAPE

"PERFORMANCE AND EMISSIONS MODELLING BIOETHANOL OPERATED SPARK-IGNITION ENGINE USING ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 4, page no.491-501, April-2020, Available :http://www.jetir.org/papers/JETIR2004270.pdf

"PERFORMANCE AND EMISSIONS MODELLING BIOETHANOL OPERATED SPARK-IGNITION ENGINE USING ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 4, page no. pp491-501, April-2020, Available at : http://www.jetir.org/papers/JETIR2004270.pdf