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• W2111722240 abstract "Three-roller bending aimed at plastic bending of plates into cylinder. Accurate prediction of springback is important for controlling product dimensions. Due to inconsistency in springback, online tool for controlling the final product dimensions are more reliable. Presented work discusses the development of artificial neural network for prediction of springback and top roller position for three-roller bending. Effect of network parameters and data normalisation on network performance was studied. Statistical analysis was performed to check the reliability of the model. Artificial neural network based predictions can be reliably used in the production environment for improving the accuracy and efficiency. [Received 12 January 2008; Revised 26 July 2008; Accepted 4 November 2008]" @default.
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• W2111722240 date "2009-01-01" @default.
• W2111722240 modified "2023-09-27" @default.
• W2111722240 title "Simulation of three-roller bending process using ANN: a parametric study" @default.
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• W2111722240 doi "https://doi.org/10.1504/ijmr.2009.026574" @default.
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