Artificial Intelligence and Communication Technologies
Performance Evaluation of Inputs on Machining Characteristics of 6082 AL Alloy: ANN Approach
Authors: Vivek John, Saurabh Aggarwal and Ruby Pant
Publishing Date: 29-05-2023
ISBN: 978-81-955020-5-9
Abstract
A FSW is solid-state joining process that combines two angled pieces of metal without melting the metal. The process generates heat by friction among angled metal pieces and rotating tool, producing heat that is then used to fuse the pieces together. This leads to a softened area around the FSW tool. In the present work the effects of several factors of the FSW welding process i.e. rotation speed, welding speed and Shoulder Diameter, have been investigated to analyze the output characteristic. The output parameters were forecasted using multi-layer feed forward ANN (MLFF-ANN) and analyzed using analysis of variance. Confirmation experimental runs were also conducted in order to validate the results.
Keywords
ANN Modelling, Wear, DOE, Friction Stir Welding.
Cite as
Vivek John, Saurabh Aggarwal and Ruby Pant, "Performance Evaluation of Inputs on Machining Characteristics of 6082 AL Alloy: ANN Approach", In: Saroj Hiranwal and Garima Mathur (eds), Artificial Intelligence and Communication Technologies, SCRS, India, 2023, pp. 1077-1082. https://doi.org/10.52458/978-81-955020-5-9-102