1 publication

• Published Subscription 28 Aug 2023

  Prediction of Process Parameters of Friction Stir Welding Using Artificial Neural Network

  By Gosavi Swapnil Vijaygir, Jaybhaye Maheshwar Dinkar

  Abstract: In this paper an artificial neural network (ANN) approach is used to predict the process parameters of friction stir welding (FSW). Initially, the experiments are conducted using the design of experiment (DoE) approach on FSW using L27 orthogonal array. The experiments are conducted using speed, feed, and tool tilt angle as input parameters for DoE and tensile strength, hardness, and ductility as output. ANN is created having 25 neurons and …

  Published in Journal of Polymer & Composites · Vol. 11, Issue 3, 2023 · pp. 13–25 Read article →