Experimental investigations on brass material and pin–fin based heat transfer system and its modeling by using adaptive neuro-fuzzy inference system

Abstract

The objective of this paper is to predict the behavior of brass material and pin fin based thermal convection system with the help of a model which is based on adaptive neuro-fuzzy inference system (ANFIS). The effects of change in input parameters like voltage and current on the response parameters like temperature at different locations of hest transfer system can be imitated by the ANFIS model. The results which are achieved by employing the ANFIS model are then compared with the experimental results in terms of graphs and also numerically by evaluating the error norms. The predictions obtained by using the ANFIS model are found to be very close to the experimental findings which prove that the model proposed in this study is capable to accurately predict the behavior of heat transfer system. The temperature at the location of sixth temperature sensor where the temperature level is low is best predicted by the ANFIS based model. A control system can be further developed with the help of proposed ANFIS model for controlling the temperature at various locations of the heat transfer system by varying the input parameters like current and voltage.