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

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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Institution: Universiti Malaysia Perlis
Language: English
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Summary:Link to publisher's homepage at http://link.springer.com/

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