Description: Tool wear prediction models during end milling of glass fibre-reinforced polymer composites

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Bibliographic Details
Main Authors:	Azwan Iskandar, Azmi, Lin, Richard J.T., Bhattacharyya, Debes
Other Authors:	azwaniskandar@unimap.edu.my
Format:	Article
Language:	English
Published:	Springer-Verlag London. 2013
Subjects:	Tool wear prediction End milling GFRP composites Regression analysis Neuro-fuzzy modelling
Online Access:	http://dspace.unimap.edu.my/xmlui/handle/123456789/27119
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Summary:	Link to publisher's homepage at http://link.springer.com/