Cover Image

Optimization On Wear Performance of Waste Cooking Oil As Engine Additive Using RSM (First Order Model)

The purpose of this study is to determine the optimal design parameters and to indicate which of the design parameters that are statistically significant for waste palm oil blended with SAE 40 for obtaining low average wear rate. The tribology performance evaluated using piston ring-liner contact te...

Full description

Saved in:
Bibliographic Details
Main Authors: Sakinah, Muhamad Hisham, K., Kadirgama, H. M., Asnida, D., Ramasamy, M. M., Noor, M. M., Rahman
Format: Conference or Workshop Item
Language:English
Published: 2016
Subjects:
TJ Mechanical engineering and machinery
Online Access:http://umpir.ump.edu.my/id/eprint/14330/1/Optimization%20On%20Wear%20Performance%20of%20Waste%20Cooking%20Oil%20As%20Engine%20Additive%20Using%20RSM%20%28First%20Order%20Model%29.pdf
http://umpir.ump.edu.my/id/eprint/14330/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.ump.umpir.14330
record_format eprints
spelling my.ump.umpir.143302018-01-30T01:52:59Z http://umpir.ump.edu.my/id/eprint/14330/ Optimization On Wear Performance of Waste Cooking Oil As Engine Additive Using RSM (First Order Model) Sakinah, Muhamad Hisham K., Kadirgama H. M., Asnida D., Ramasamy M. M., Noor M. M., Rahman TJ Mechanical engineering and machinery The purpose of this study is to determine the optimal design parameters and to indicate which of the design parameters that are statistically significant for waste palm oil blended with SAE 40 for obtaining low average wear rate. The tribology performance evaluated using piston ring-liner contact tester. Design of experiment (DOE) constructed using Response Surface Methodology (RSM) between the key process parameters such as rotational speeds (200 RPM to 300 RPM), volume concentration (0% to 10% waste oil) and applied loads (2 kg to 9kg). Analysis of variance (ANOVA) test also carried out to check the adequacy of the developed empirical models. FESEM was used for wear scar analysis and EDX was used to analysis chemical element in oil during sliding contacts. It was perceived that the optimize speed, load and volume composition have significant effect on specific wear rate (WR). 2016 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/14330/1/Optimization%20On%20Wear%20Performance%20of%20Waste%20Cooking%20Oil%20As%20Engine%20Additive%20Using%20RSM%20%28First%20Order%20Model%29.pdf Sakinah, Muhamad Hisham and K., Kadirgama and H. M., Asnida and D., Ramasamy and M. M., Noor and M. M., Rahman (2016) Optimization On Wear Performance of Waste Cooking Oil As Engine Additive Using RSM (First Order Model). In: 2nd International Conference on Automotive Innovation and Green Energy Vehicle (AIGEV 2016), 2-3 August 2016 , Malaysia Automotive Institute, Cyberjaya, Selangor. . (Unpublished)
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Sakinah, Muhamad Hisham
K., Kadirgama
H. M., Asnida
D., Ramasamy
M. M., Noor
M. M., Rahman
Optimization On Wear Performance of Waste Cooking Oil As Engine Additive Using RSM (First Order Model)
description The purpose of this study is to determine the optimal design parameters and to indicate which of the design parameters that are statistically significant for waste palm oil blended with SAE 40 for obtaining low average wear rate. The tribology performance evaluated using piston ring-liner contact tester. Design of experiment (DOE) constructed using Response Surface Methodology (RSM) between the key process parameters such as rotational speeds (200 RPM to 300 RPM), volume concentration (0% to 10% waste oil) and applied loads (2 kg to 9kg). Analysis of variance (ANOVA) test also carried out to check the adequacy of the developed empirical models. FESEM was used for wear scar analysis and EDX was used to analysis chemical element in oil during sliding contacts. It was perceived that the optimize speed, load and volume composition have significant effect on specific wear rate (WR).
format Conference or Workshop Item
author Sakinah, Muhamad Hisham
K., Kadirgama
H. M., Asnida
D., Ramasamy
M. M., Noor
M. M., Rahman
author_facet Sakinah, Muhamad Hisham
K., Kadirgama
H. M., Asnida
D., Ramasamy
M. M., Noor
M. M., Rahman
author_sort Sakinah, Muhamad Hisham
title Optimization On Wear Performance of Waste Cooking Oil As Engine Additive Using RSM (First Order Model)
title_short Optimization On Wear Performance of Waste Cooking Oil As Engine Additive Using RSM (First Order Model)
title_full Optimization On Wear Performance of Waste Cooking Oil As Engine Additive Using RSM (First Order Model)
title_fullStr Optimization On Wear Performance of Waste Cooking Oil As Engine Additive Using RSM (First Order Model)
title_full_unstemmed Optimization On Wear Performance of Waste Cooking Oil As Engine Additive Using RSM (First Order Model)
title_sort optimization on wear performance of waste cooking oil as engine additive using rsm (first order model)
publishDate 2016
url http://umpir.ump.edu.my/id/eprint/14330/1/Optimization%20On%20Wear%20Performance%20of%20Waste%20Cooking%20Oil%20As%20Engine%20Additive%20Using%20RSM%20%28First%20Order%20Model%29.pdf
http://umpir.ump.edu.my/id/eprint/14330/
_version_ 1643667403442225152
score 13.211869

Similar Items