Paper Title:
Synthesis Error Analysis of NC Manufacturing and Error Prediction Modelling Based on BP Neural Network Technology
  Abstract

The method was proposed by use of the finite element analysis software ABAQUS and the BP neural network technology to build a synthesis error prediction model of a machining-center. Firstly the finite element model of a vertical machining center CINCINNATI ARROW750 was created by use of ABAQUS ,and the cutting force induced error was analyzed which resulted from the deformation of the machining-center’s components that was caused by the cutting force ;Secondly the geometric error of the machining-center was measured by use of the laser interometer,and the sample of synthesis error was obtained. Finally the synthesis error prediction model was obtained by use BP neural network,and through the comparison of predicted value and actual value of 25 groups of samples, the feasibility of error prediction model was verified.

  Info
Periodical
Advanced Materials Research (Volumes 314-316)
Chapter
Material Design of Computer Aided
Edited by
Jian Gao
Pages
1254-1257
DOI
10.4028/www.scientific.net/AMR.314-316.1254
Citation
H. Fan, H. Li, D. H. Si, Y. J. Xue, G. F. Wang, J. S. Li, "Synthesis Error Analysis of NC Manufacturing and Error Prediction Modelling Based on BP Neural Network Technology", Advanced Materials Research, Vols. 314-316, pp. 1254-1257, 2011
Online since
August 2011
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Price
$32.00
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