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Research and modelling of surface roughness, cutting forces and I-kaz coefficients for S42C in turning using response surface methodology

This paper presents the optimization in machining processes on the cutting parameters for the S45C in turning process using the response surface method (RSM). The experimental work conducted investigates the influence of cutting parameters on statistical analys...

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Main Authors: Samin, Razali, Nuawi, Mohd Zaki, A. Ghani, Jaharah, Mohamed. Haris, Sallehuddin
Format: Article
Language:English
Published: Blue Eyes Intelligence Engineering and Sciences Publication 2019
Online Access:http://psasir.upm.edu.my/id/eprint/81987/1/Research%20and%20modelling%20of%20surface%20roughness.pdf
http://psasir.upm.edu.my/id/eprint/81987/
https://www.ijitee.org/download/volume-8-issue-12s2/
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spelling my.upm.eprints.819872021-09-29T01:19:38Z http://psasir.upm.edu.my/id/eprint/81987/ Research and modelling of surface roughness, cutting forces and I-kaz coefficients for S42C in turning using response surface methodology Samin, Razali Nuawi, Mohd Zaki A. Ghani, Jaharah Mohamed. Haris, Sallehuddin This paper presents the optimization in machining processes on the cutting parameters for the S45C in turning process using the response surface method (RSM). The experimental work conducted investigates the influence of cutting parameters on statistical analysis of signals and surface quality. The paper also presents a statistical analysis of signal processing. The cutting force was measured during machining using the Kistler 9129AA dynamometer to monitor the force signals and the data was analyzed using the I-kazTM method of statistical analysis. This statistical analysis was used to assess the effect of force signals during the machining process. The RSM models for Ra and Rz, and I-kaz coefficients (Z) have been developed with ANOVA and multiple regression equations. The models also were compared and validated with the predicted and measured of Ra and Rz values, and I-kaz coefficients. The optimal configuration of cutting parameters was observed at 200 m/min, 0.1 mm/rev and 0.521 mm with desirability of 95.9%. It is observed that the models developed are suggested to be utilized for predicting surface roughness values and I-kaz coefficients for the machining of S45C steel. Blue Eyes Intelligence Engineering and Sciences Publication 2019 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/81987/1/Research%20and%20modelling%20of%20surface%20roughness.pdf Samin, Razali and Nuawi, Mohd Zaki and A. Ghani, Jaharah and Mohamed. Haris, Sallehuddin (2019) Research and modelling of surface roughness, cutting forces and I-kaz coefficients for S42C in turning using response surface methodology. International Journal of Innovative Technology and Exploring Engineering, 8 (12 spec. 2). pp. 608-620. ISSN 2278-3075 https://www.ijitee.org/download/volume-8-issue-12s2/ 10.35940/ijitee.L1109.10812S219
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description This paper presents the optimization in machining processes on the cutting parameters for the S45C in turning process using the response surface method (RSM). The experimental work conducted investigates the influence of cutting parameters on statistical analysis of signals and surface quality. The paper also presents a statistical analysis of signal processing. The cutting force was measured during machining using the Kistler 9129AA dynamometer to monitor the force signals and the data was analyzed using the I-kazTM method of statistical analysis. This statistical analysis was used to assess the effect of force signals during the machining process. The RSM models for Ra and Rz, and I-kaz coefficients (Z) have been developed with ANOVA and multiple regression equations. The models also were compared and validated with the predicted and measured of Ra and Rz values, and I-kaz coefficients. The optimal configuration of cutting parameters was observed at 200 m/min, 0.1 mm/rev and 0.521 mm with desirability of 95.9%. It is observed that the models developed are suggested to be utilized for predicting surface roughness values and I-kaz coefficients for the machining of S45C steel.
format Article
author Samin, Razali
Nuawi, Mohd Zaki
A. Ghani, Jaharah
Mohamed. Haris, Sallehuddin
spellingShingle Samin, Razali
Nuawi, Mohd Zaki
A. Ghani, Jaharah
Mohamed. Haris, Sallehuddin
Research and modelling of surface roughness, cutting forces and I-kaz coefficients for S42C in turning using response surface methodology
author_facet Samin, Razali
Nuawi, Mohd Zaki
A. Ghani, Jaharah
Mohamed. Haris, Sallehuddin
author_sort Samin, Razali
title Research and modelling of surface roughness, cutting forces and I-kaz coefficients for S42C in turning using response surface methodology
title_short Research and modelling of surface roughness, cutting forces and I-kaz coefficients for S42C in turning using response surface methodology
title_full Research and modelling of surface roughness, cutting forces and I-kaz coefficients for S42C in turning using response surface methodology
title_fullStr Research and modelling of surface roughness, cutting forces and I-kaz coefficients for S42C in turning using response surface methodology
title_full_unstemmed Research and modelling of surface roughness, cutting forces and I-kaz coefficients for S42C in turning using response surface methodology
title_sort research and modelling of surface roughness, cutting forces and i-kaz coefficients for s42c in turning using response surface methodology
publisher Blue Eyes Intelligence Engineering and Sciences Publication
publishDate 2019
url http://psasir.upm.edu.my/id/eprint/81987/1/Research%20and%20modelling%20of%20surface%20roughness.pdf
http://psasir.upm.edu.my/id/eprint/81987/
https://www.ijitee.org/download/volume-8-issue-12s2/
_version_ 1712286735853944832
score 13.211869

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