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Prediction of Waviness Values in Skew Rolling Using Machine Learning Methods

Lis Konrad, Pater Zbigniew, Tomczak Janusz, Bulzak Tomasz Adam, Kusiak Tomasz

Advances in Science and Technology. Research Journal

2023

Vol. 17, no 5

350--359

Skew rolling with three rolls is used for producing axisymmetric parts. In this method, the tools are spaced every 120° on the circumference of the workpiece. They are also set askew relative to the rolling axis. Cross sectional reduction is made effective by moving the tapered rolls closer to or away from the center line of the workpiece. Experiments were conducted with variable initial conditions of the rolling process to examine surface topography of rolled parts. Obtained experimental results were then analyzed using machine learning methods in order to determine the most effective regression model with the highest coefficient of determination R2 for waviness prediction.