Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/17282
Title: Research on surface roughness prediction model based on CT genetic algorithm for optical ultra-precision machining
Authors: Du, JJ
Cheung, CF 
To, S 
Liu, ZY
Keywords: Evolutionary model
Genetic algorithm
Surface roughness
Issue Date: 2008
Publisher: Scientific.Net
Source: Applied mechanics and materials, 2008, v. 41618, p. 369-373 How to cite?
Journal: Applied mechanics and materials 
Abstract: In this paper a dynamic non-linear mathematics model is proposed to predict the surface roughness in optical ultra-precision machining, which can be automatically built by evoling computer program of genetic algorithm. The new model can improve the fitting and predicting accuracy, compared with the traditional linear regression model. The numerical simulation test proves the effectiveness and accuracy of new model.
Description: e-Engineering and Digital Enterprise Technology, e-ENGDET 2007,
URI: http://hdl.handle.net/10397/17282
ISBN: 0878494707
9780878494705
ISSN: 1660-9336 (print)
Appears in Collections:Conference Paper

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