Prediction of Cutting Force of Austempered Ductile Iron Based on BP Neural Network

Abstract:

Austempered Ductile Iron (ADI) is a new generation of cast iron materials developed in recent decades; but its excellent comprehensive mechanical properties make it become hard-machining material. The main objective of this paper is to develop the prediction model of cutting force of ADI based on the BP neural network. The main factors that affect the prediction of cutting force were analyzed with experimental data. The structure of BP neural network and the reasonable training function were determined when experimental data was used to develop the prediction model of cutting force. Prediction error was between ± 4% when the prediction model was used to predict cutting force. The approach to the prediction of cutting force based on BP neural network is valuable for application.

• Periodical: Advanced Materials Research (Volumes 774-776)
• Pages: 1068-1074
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.774-776.1068
• Online since: September 2013
• Authors: Deng Cao, Xu Hong Guo
• Keywords: Austempered Ductile Iron (ADI), BP Neural Network (BPNN), Cutting Force, Prediction

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