1 publication

• Published Subscription 4 Jul 2022

  Regression and ANN Models in Predicting Tool Wear

  By Mafiz Alji, Zain Bamne, Atique Kondvilkar, Umer Aklekar, Paramjit Thakur

  Abstract: A modern machining system must be able to detect tool wear while milling in order to maintain the product's surface quality. The vibration signatures produced by a single point cutting tool during machining have been found to be good predictors of the tool's health. The current study used Artificial Neural Networks to forecast tool life by analysing vibration signatures when turning EN9 and EN24 steel alloys (ANN). Tool wear prediction …

  Published in Journal of Production Research & Management · Vol. 12, Issue 1, 2022 · pp. 14–18 Read article →