High-Speed Machining Time Model Prediction of Combination Framework Based on BP Neutral Network

Abstract

The process parameter prediction and analysis of high-speed NC machining of cast aluminum combination framework is one of the important research directions of mechanical processing. In order to make sure predicting the high-speed NC machining parameters of cast aluminum framework while machining、improve production efficiency、reduce the requirement for machine tool accuracy and technology level of operating personnel, established high-speed NC machining system time forecast model of combination framework applying BP neural network, doing corresponding verification of high-speed NC machining process parameters, then designed a set of process suitable for cast aluminum combination framework high-speed NC machining, providing feasible solution for high precision machining.