Synthesis Error Analysis of NC Manufacturing and Error Prediction Modelling Based on BP Neural Network Technology

Abstract:

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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)

Edited by:

Jian Gao

Pages:

1254-1257

DOI:

10.4028/www.scientific.net/AMR.314-316.1254

Citation:

H. Fan et al., "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:

$35.00

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