An Intelligent Cooling Technique for Internal Combustion Engine Using Optimal ANN and Fuzzy Logic Algorithms

Now days it's very important to increase the efficiency of Internal Combustion (IC) engines. Due to many factors such as fuel economy, fuel crisis, and ultimately increase the output. During the process of combustion a large portion of heat is transferred to various engine components and the engine may be damaged unless the excess heat is carried away and these parts are adequately cooled. Adequate cooling is then a fundamental problem associated with internal combustion engines. This paper proposes an improved effective intelligent cooling system in IC engine using the optimal Artificial Neural Network (ANN) and Fuzzy logic algorithms. Optimal ANN is considered based on Mean Square Error (MSE) close to zero and Regression (R) closes to 1. The design was modeled and simulated using the LabVIEW platform. Results show that the proposed system was able to fulfill its desired objectives.