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Learning from the Carbon Fiber-Reinforced Plastic Project

Design-Expert V9 software was used to predict the cutting parameters that had an important effect for a particular response. Since the surface roughness for CFRP and Al2024 was recorded as two different responses, the analysis was conducted separately. The obtained results from the experiment are li...

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Main Authors: Mohamed, Prof. Ts. Dr. Saiful Bahri, Ab Rashid, Prof. Madya Dr. Radzuwan, Muhamad @ Mohd Saufi, Ts. Dr. Martini
Format: Book Section
Language:English
English
English
Published: Springer Verlag 2019
Subjects:
TJ Mechanical engineering and machinery
TS Manufactures
Online Access:http://eprints.unisza.edu.my/3994/1/FH05-FRIT-18-15058.pdf
http://eprints.unisza.edu.my/3994/2/FH05-FRIT-18-15059.pdf
http://eprints.unisza.edu.my/3994/3/FH05-FRIT-20-37041.pdf
http://eprints.unisza.edu.my/3994/
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spelling my-unisza-ir.39942022-01-10T06:20:51Z http://eprints.unisza.edu.my/3994/ Learning from the Carbon Fiber-Reinforced Plastic Project Mohamed, Prof. Ts. Dr. Saiful Bahri Ab Rashid, Prof. Madya Dr. Radzuwan Muhamad @ Mohd Saufi, Ts. Dr. Martini TJ Mechanical engineering and machinery TS Manufactures Design-Expert V9 software was used to predict the cutting parameters that had an important effect for a particular response. Since the surface roughness for CFRP and Al2024 was recorded as two different responses, the analysis was conducted separately. The obtained results from the experiment are listed in Table 4.1 which is then used for further analysis using Design-Expert V9 software. The input variables were spindle speed, feed rate, and depth of cut; meanwhile, the responses were surface roughness for CFRP and Al2024. The analysis began with the analysis of CFRP machined surface and then followed by Al2024 machined surface. Springer Verlag 2019 Book Section NonPeerReviewed text en http://eprints.unisza.edu.my/3994/1/FH05-FRIT-18-15058.pdf text en http://eprints.unisza.edu.my/3994/2/FH05-FRIT-18-15059.pdf text en http://eprints.unisza.edu.my/3994/3/FH05-FRIT-20-37041.pdf Mohamed, Prof. Ts. Dr. Saiful Bahri and Ab Rashid, Prof. Madya Dr. Radzuwan and Muhamad @ Mohd Saufi, Ts. Dr. Martini (2019) Learning from the Carbon Fiber-Reinforced Plastic Project. In: SpringerBriefs in Applied Sciences and Technology. Springer Verlag, Singapore, pp. 49-61. ISBN 978-981-13-1804-7
institution Universiti Sultan Zainal Abidin
building UNISZA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sultan Zainal Abidin
content_source UNISZA Institutional Repository
url_provider https://eprints.unisza.edu.my/
language English
English
English
topic TJ Mechanical engineering and machinery
TS Manufactures
spellingShingle TJ Mechanical engineering and machinery
TS Manufactures
Mohamed, Prof. Ts. Dr. Saiful Bahri
Ab Rashid, Prof. Madya Dr. Radzuwan
Muhamad @ Mohd Saufi, Ts. Dr. Martini
Learning from the Carbon Fiber-Reinforced Plastic Project
description Design-Expert V9 software was used to predict the cutting parameters that had an important effect for a particular response. Since the surface roughness for CFRP and Al2024 was recorded as two different responses, the analysis was conducted separately. The obtained results from the experiment are listed in Table 4.1 which is then used for further analysis using Design-Expert V9 software. The input variables were spindle speed, feed rate, and depth of cut; meanwhile, the responses were surface roughness for CFRP and Al2024. The analysis began with the analysis of CFRP machined surface and then followed by Al2024 machined surface.
format Book Section
author Mohamed, Prof. Ts. Dr. Saiful Bahri
Ab Rashid, Prof. Madya Dr. Radzuwan
Muhamad @ Mohd Saufi, Ts. Dr. Martini
author_facet Mohamed, Prof. Ts. Dr. Saiful Bahri
Ab Rashid, Prof. Madya Dr. Radzuwan
Muhamad @ Mohd Saufi, Ts. Dr. Martini
author_sort Mohamed, Prof. Ts. Dr. Saiful Bahri
title Learning from the Carbon Fiber-Reinforced Plastic Project
title_short Learning from the Carbon Fiber-Reinforced Plastic Project
title_full Learning from the Carbon Fiber-Reinforced Plastic Project
title_fullStr Learning from the Carbon Fiber-Reinforced Plastic Project
title_full_unstemmed Learning from the Carbon Fiber-Reinforced Plastic Project
title_sort learning from the carbon fiber-reinforced plastic project
publisher Springer Verlag
publishDate 2019
url http://eprints.unisza.edu.my/3994/1/FH05-FRIT-18-15058.pdf
http://eprints.unisza.edu.my/3994/2/FH05-FRIT-18-15059.pdf
http://eprints.unisza.edu.my/3994/3/FH05-FRIT-20-37041.pdf
http://eprints.unisza.edu.my/3994/
_version_ 1724079303236255744
score 13.211869

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