Heat Transfer Improvements in a Solid Fueled Boiler and Modeling of Pressure Differences by Artificial Neural Network

In this study, the improvement of heat transfers by using 4 different types of strip turbulators in solid fuel boiler was investigated. The smoke pipes of the boiler used are 42 mm in diameter, the chimney diameter is 230 mm and the water inlet and outlet diameters are 65 mm and the heat capacity is 125,000 kcal / h. Experiments have been carried out with turbulators placed in all smoke pipes in the boiler. Firstly, experiments were carried out without inserting a turbine. In the second step, turbulators were placed in smoke pipes for each type of experiments and heat transfer was calculated. In the experiments, the fan flow rate was changed with the help of damper and the Reynolds number was calculated between 18000 and 28000. For turbine heat exchanger experiments, turbulence tests were carried out and heat transfer was increased by at least 15% and maximum 82%. As a result of the calculations, a predictive model was obtained by using artificial neural network (ANN) for the pressure difference values. The obtained model has been analyzed for error and has been shown to predict the pressure values successfully.