Home Kovove Materialy-Metallic Materials 2019 Kovove Materialy-Metallic Materials Vol. 57 (2019), no. 3, pp.199–205

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Kovove Materialy-Metallic Materials Vol. 57 (2019), no. 3, pp.199–205

Title: Artificial Neural Network application to the friction welding of AISI 316 and Ck 45 steels
Author: I. Ersozlu, S. Celik
Abstract: The optimization of the friction welding parameters through experimental studies does not
only cause loss of time and materials but also increases the cost. In this study, an Artificial
Neural Network (ANN) model is developed for the analysis of the correlation between the
friction welding parameters and tensile strength of both AISI 316 austenitic-stainless steel
and Ck 45 steel. The input parameters of the model are friction time, friction pressure and
upset pressure while tensile strength is the output. Experimental data are used to train and
test the neural network. A good correlation was obtained between the experimental values and
the ANN model prediction (R2 = 0.9711). By using this model, the number of experiments to
obtain optimal parameters of friction welding and number of tensile tests could be minimized.
Keywords: friction welding, AISI 316 stainless steel, Ck 45 steel, mechanical properties, Artificial Neural Network (ANN)
Published online: 21-May-2019
Year: 2019, Volume: 57, Issue: 3 Page From: 199, Page To: 205
doi:10.4149/km_2019_3_199


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