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.

• Periodical: Materials Science Forum (Volumes 800-801)
• Pages: 296-299
• DOI: https://doi.org/10.4028/www.scientific.net/MSF.800-801.296
• Online since: July 2014
• Authors: Zhen Bo Wang*, Shu Zhi Li, Liang Zhang
• Keywords: Analysis, BP Neural Network (BPNN), High-Speed NC Machining

References

[1] Bai Yun，Han Enhou, Tan Ruobing, BiJing. Materials protection, 2003, 4 (9) : 1-4.

[2] Zhang Yufeng, Zheng Jikang Bai Gongying. Metal processing, 2011, (2) : 1-2.

[3] Li Yue. Journal of engineering technology, 2008, (2) : 1-2.

[4] Yin Jia, Ding Dangping . Equipment Manufacture, 2013, 13(1): 22-25.

[5] Song Limin, Li Junchuan. Automatic Manufacturing Technique, 2013, (4) : 132-134.