Machinability study of glass fibre-reinforced polymer composites during end milling

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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
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Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/27118
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spelling my.unimap-271182013-07-25T07:45:55Z Machinability study of glass fibre-reinforced polymer composites during end milling Azwan Iskandar, Azmi Lin, Richard J.T. Bhattacharyya, Debes azwaniskandar@unimap.edu.my End milling machinability GFRP composites Taguchi method Design of experiments Multipleregression analysis Link to publisher's homepage at http://link.springer.com/ Machining of composite materials is usually performed to achieve required geometrical shapes and dimensional tolerances. However, machinability evaluation of glass fibre-reinforced polymer (GFRP) composites in end milling has not yet received its due attention in the research community despite the extensive industrial use of this process. This work aims to elucidate the end milling machinability of GFRP composites with respect to surface roughness, tool life and machining forces. Experiments were conducted under different experimental parameters and their levels according to the Taguchi design of experiment method. Taguchi analysis combined with statistical analysis of variance (ANOVA) was performed to quantify the effects of spindle speed, feed rate and depth of cut on those characteristics. Multiple regression analysis (MRA) was also employed to establish parametric relationships between the experimental parameters and the machinability outputs. Results from ANOVA and MRA reveal that feed rate is the governing factor affecting all the machinability outputs. The calculated values from MRA have been found to be fairly close to experimental values in almost all cases. Validation tests under randomly selected machining conditions have further demonstrated the feasibility of the developed mathematical models with 8-12% error for tool life and machining forces predictions while >19% error for calculating the surface roughness. 2013-07-25T07:45:55Z 2013-07-25T07:45:55Z 2013-01 Article The International Journal of Advanced Manufacturing Technology, 2013, vol., 64(1-4), pages 247-261 0268-3768 http://link.springer.com/article/10.1007%2Fs00170-012-4006-6 http://hdl.handle.net/123456789/27118 en Springer-Verlag London.
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic End milling machinability
GFRP composites
Taguchi method
Design of experiments
Multipleregression analysis
spellingShingle End milling machinability
GFRP composites
Taguchi method
Design of experiments
Multipleregression analysis
Azwan Iskandar, Azmi
Lin, Richard J.T.
Bhattacharyya, Debes
Machinability study of glass fibre-reinforced polymer composites during end milling
description Link to publisher's homepage at http://link.springer.com/
author2 azwaniskandar@unimap.edu.my
author_facet azwaniskandar@unimap.edu.my
Azwan Iskandar, Azmi
Lin, Richard J.T.
Bhattacharyya, Debes
format Article
author Azwan Iskandar, Azmi
Lin, Richard J.T.
Bhattacharyya, Debes
author_sort Azwan Iskandar, Azmi
title Machinability study of glass fibre-reinforced polymer composites during end milling
title_short Machinability study of glass fibre-reinforced polymer composites during end milling
title_full Machinability study of glass fibre-reinforced polymer composites during end milling
title_fullStr Machinability study of glass fibre-reinforced polymer composites during end milling
title_full_unstemmed Machinability study of glass fibre-reinforced polymer composites during end milling
title_sort machinability study of glass fibre-reinforced polymer composites during end milling
publisher Springer-Verlag London.
publishDate 2013
url http://dspace.unimap.edu.my/xmlui/handle/123456789/27118
_version_ 1643795163636563968
score 13.222552