This paper addresses the upset prediction problem of friction welded joints. Based on finite element simulations of inertia friction welding (IFW). a radial basis function (RBF) neural network was developed initially to predict the final upset for a number of welding parameters. The predicted joint upset by the RBF neural network was compared to validated finite element simulations. https://cosmeticssquadets.shop/product-category/toothpaste/