Application of Response Surface Methodology in Characterization of Biolubricant with Titanium Oxide Nanoparticles / Nor Syahirah Mohamad and Salmiah Kasolang

An optimized model is often deployed to reduce trial and error in experiment approach and to obtain the multi-variant correlation. In this study, Response Surface Methodology (RSM) namely Box-Behnken design (BBD) approach has been used to investigate the characteristic of lubricant. In BBD, this app...

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Main Authors: Mohamad, Nor Syahirah, Kasolang, Salmiah
Format: Article
Language:English
Published: Faculty of Mechanical Engineering Universiti Teknologi MARA (UiTM) 2017
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Online Access:http://ir.uitm.edu.my/id/eprint/38485/1/38485.pdf
http://ir.uitm.edu.my/id/eprint/38485/
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spelling my.uitm.ir.384852020-12-03T06:13:26Z http://ir.uitm.edu.my/id/eprint/38485/ Application of Response Surface Methodology in Characterization of Biolubricant with Titanium Oxide Nanoparticles / Nor Syahirah Mohamad and Salmiah Kasolang Mohamad, Nor Syahirah Kasolang, Salmiah TJ Mechanical engineering and machinery An optimized model is often deployed to reduce trial and error in experiment approach and to obtain the multi-variant correlation. In this study, Response Surface Methodology (RSM) namely Box-Behnken design (BBD) approach has been used to investigate the characteristic of lubricant. In BBD, this approach is based on multivariate analysis whereby the effect of different parameters is considered simultaneously. The effect of three parameters namely speed, load and concentration of TiO2 on the coefficient of friction (CoF) was investigated in this study. By using this approach, the number of experiment has reduced to 15 from 100 experiments using optimization method. The result obtained from BBD has shown that the most influential parameters were speed and load. Analysis of variance (ANOVA) indicated that the proposed experiments from quadratic model successfully interpreted the experimental data with a coefficient of determination R2 = 0.9931. From the contour plot of BBD, the optimization zone for interacting variables can be determined. The zone that indicates two regions of lower friction values (<0.04) were: (i) at a speed 1300 to 2000 rpm for a normal load at 10 to 16 kg and (ii) at a speed 700 to 1500 rpm for a normal load in the range of 19 to 20kg. The optimized condition shows that the minimum value of CoF (0.0159) is at the speed of 2000 rpm, load of 10 kg and TiO2 concentration of 1.0 wt%. Faculty of Mechanical Engineering Universiti Teknologi MARA (UiTM) 2017 Article PeerReviewed text en http://ir.uitm.edu.my/id/eprint/38485/1/38485.pdf Mohamad, Nor Syahirah and Kasolang, Salmiah (2017) Application of Response Surface Methodology in Characterization of Biolubricant with Titanium Oxide Nanoparticles / Nor Syahirah Mohamad and Salmiah Kasolang. Journal of Mechanical Engineering (JMechE), SI 2 (2). pp. 231-241. ISSN 1823-5514 ; 2550-164X https://jmeche.uitm.edu.my/
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Mohamad, Nor Syahirah
Kasolang, Salmiah
Application of Response Surface Methodology in Characterization of Biolubricant with Titanium Oxide Nanoparticles / Nor Syahirah Mohamad and Salmiah Kasolang
description An optimized model is often deployed to reduce trial and error in experiment approach and to obtain the multi-variant correlation. In this study, Response Surface Methodology (RSM) namely Box-Behnken design (BBD) approach has been used to investigate the characteristic of lubricant. In BBD, this approach is based on multivariate analysis whereby the effect of different parameters is considered simultaneously. The effect of three parameters namely speed, load and concentration of TiO2 on the coefficient of friction (CoF) was investigated in this study. By using this approach, the number of experiment has reduced to 15 from 100 experiments using optimization method. The result obtained from BBD has shown that the most influential parameters were speed and load. Analysis of variance (ANOVA) indicated that the proposed experiments from quadratic model successfully interpreted the experimental data with a coefficient of determination R2 = 0.9931. From the contour plot of BBD, the optimization zone for interacting variables can be determined. The zone that indicates two regions of lower friction values (<0.04) were: (i) at a speed 1300 to 2000 rpm for a normal load at 10 to 16 kg and (ii) at a speed 700 to 1500 rpm for a normal load in the range of 19 to 20kg. The optimized condition shows that the minimum value of CoF (0.0159) is at the speed of 2000 rpm, load of 10 kg and TiO2 concentration of 1.0 wt%.
format Article
author Mohamad, Nor Syahirah
Kasolang, Salmiah
author_facet Mohamad, Nor Syahirah
Kasolang, Salmiah
author_sort Mohamad, Nor Syahirah
title Application of Response Surface Methodology in Characterization of Biolubricant with Titanium Oxide Nanoparticles / Nor Syahirah Mohamad and Salmiah Kasolang
title_short Application of Response Surface Methodology in Characterization of Biolubricant with Titanium Oxide Nanoparticles / Nor Syahirah Mohamad and Salmiah Kasolang
title_full Application of Response Surface Methodology in Characterization of Biolubricant with Titanium Oxide Nanoparticles / Nor Syahirah Mohamad and Salmiah Kasolang
title_fullStr Application of Response Surface Methodology in Characterization of Biolubricant with Titanium Oxide Nanoparticles / Nor Syahirah Mohamad and Salmiah Kasolang
title_full_unstemmed Application of Response Surface Methodology in Characterization of Biolubricant with Titanium Oxide Nanoparticles / Nor Syahirah Mohamad and Salmiah Kasolang
title_sort application of response surface methodology in characterization of biolubricant with titanium oxide nanoparticles / nor syahirah mohamad and salmiah kasolang
publisher Faculty of Mechanical Engineering Universiti Teknologi MARA (UiTM)
publishDate 2017
url http://ir.uitm.edu.my/id/eprint/38485/1/38485.pdf
http://ir.uitm.edu.my/id/eprint/38485/
https://jmeche.uitm.edu.my/
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