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An experimental result of surface roughness machining performance in deep hole drilling

This study presents an experimental result of a deep hole drilling process for Steel material at different machining parameters which are feed rate (f), spindle speed (s), the depth of the hole (d) and MQL, number of drops (m) on surface roughness, Ra. The experiment was designed using two level ful...

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Main Authors: Mohamad, A., Mohd Zain, A., Mohd Yusof, N., Najarian, F.
Format: Conference or Workshop Item
Published: EDP Sciences 2016
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.utm.my/id/eprint/73033/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84992376546&doi=10.1051%2fmatecconf%2f20167801036&partnerID=40&md5=16dc1c9f5006cf558cee9685ffb42120
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id my.utm.73033
record_format eprints
spelling my.utm.730332017-11-27T02:00:03Z http://eprints.utm.my/id/eprint/73033/ An experimental result of surface roughness machining performance in deep hole drilling Mohamad, A. Mohd Zain, A. Mohd Yusof, N. Najarian, F. QA75 Electronic computers. Computer science This study presents an experimental result of a deep hole drilling process for Steel material at different machining parameters which are feed rate (f), spindle speed (s), the depth of the hole (d) and MQL, number of drops (m) on surface roughness, Ra. The experiment was designed using two level full factorial design of experiment (DoE) with centre points to collect surface roughness, Ra values. The signal to noise (S/N) ratio analysis was used to discover the optimum level for each machining parameters in the experiment. EDP Sciences 2016 Conference or Workshop Item PeerReviewed Mohamad, A. and Mohd Zain, A. and Mohd Yusof, N. and Najarian, F. (2016) An experimental result of surface roughness machining performance in deep hole drilling. In: 2nd International Conference on Green Design and Manufacture, IConGDM 2016, 1 May 2016 through 2 May 2016, Thailand. https://www.scopus.com/inward/record.uri?eid=2-s2.0-84992376546&doi=10.1051%2fmatecconf%2f20167801036&partnerID=40&md5=16dc1c9f5006cf558cee9685ffb42120
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Mohamad, A.
Mohd Zain, A.
Mohd Yusof, N.
Najarian, F.
An experimental result of surface roughness machining performance in deep hole drilling
description This study presents an experimental result of a deep hole drilling process for Steel material at different machining parameters which are feed rate (f), spindle speed (s), the depth of the hole (d) and MQL, number of drops (m) on surface roughness, Ra. The experiment was designed using two level full factorial design of experiment (DoE) with centre points to collect surface roughness, Ra values. The signal to noise (S/N) ratio analysis was used to discover the optimum level for each machining parameters in the experiment.
format Conference or Workshop Item
author Mohamad, A.
Mohd Zain, A.
Mohd Yusof, N.
Najarian, F.
author_facet Mohamad, A.
Mohd Zain, A.
Mohd Yusof, N.
Najarian, F.
author_sort Mohamad, A.
title An experimental result of surface roughness machining performance in deep hole drilling
title_short An experimental result of surface roughness machining performance in deep hole drilling
title_full An experimental result of surface roughness machining performance in deep hole drilling
title_fullStr An experimental result of surface roughness machining performance in deep hole drilling
title_full_unstemmed An experimental result of surface roughness machining performance in deep hole drilling
title_sort experimental result of surface roughness machining performance in deep hole drilling
publisher EDP Sciences
publishDate 2016
url http://eprints.utm.my/id/eprint/73033/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84992376546&doi=10.1051%2fmatecconf%2f20167801036&partnerID=40&md5=16dc1c9f5006cf558cee9685ffb42120
_version_ 1643656557266731008
score 13.211869

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