Paper Title:
The HSM Intelligent Database System Based on Neural Networks
  Abstract

High speed cutting (HSM) is one of the main trends of cutting machinery. In our country, the relevant research of HSM starts later, the actual machining and experiment on the machining technology and the machining parameters of HSM are few, the reasonable machining parameters selection scheme and the appropriate cutter choice method are lack. The paper established the HSM cutters management system based on BP artificial neural networks to facilitate optimized database system and to improve cutting efficiency. The result shows the system is very helpful to select cutting parameters and the value of prediction fits with the test very well.

  Info
Periodical
Advanced Materials Research (Volumes 201-203)
Edited by
Daoguo Yang, Tianlong Gu, Huaiying Zhou, Jianmin Zeng and Zhengyi Jiang
Pages
162-166
DOI
10.4028/www.scientific.net/AMR.201-203.162
Citation
L. J. Liu, M. Lv, W. G. Wu, "The HSM Intelligent Database System Based on Neural Networks", Advanced Materials Research, Vols. 201-203, pp. 162-166, 2011
Online since
February 2011
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Price
$32.00
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