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Application Of Response Surface Methodology For Optimizing The Oxidative Stability Of Natural Ester Oil Using Mixed Antioxidants

Natural ester insulation (NEI) oils have been developed since the early 1990s due to the increasing environmental, health and safety concerns from the public. NEI oils are well-known for having high fire and flash points, great moisture tolerance, good biodegradability and non-toxicity. However, NEI...

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Main Authors: Ab Ghani, Sharin, Muhamad, Nor Asiah, Zainuddin, Hidayat, Noorden, Zulkarnain Ahmad, Mohamad, Noraiham
Format: Article
Language:English
Published: IEEE 2017
Subjects:
T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utem.edu.my/id/eprint/20838/2/Published%20IEEE%20TDEI%206221.pdf
http://eprints.utem.edu.my/id/eprint/20838/
https://ieeexplore.ieee.org/abstract/document/7909207/
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spelling my.utem.eprints.208382021-07-08T17:26:11Z http://eprints.utem.edu.my/id/eprint/20838/ Application Of Response Surface Methodology For Optimizing The Oxidative Stability Of Natural Ester Oil Using Mixed Antioxidants Ab Ghani, Sharin Muhamad, Nor Asiah Zainuddin, Hidayat Noorden, Zulkarnain Ahmad Mohamad, Noraiham T Technology (General) TK Electrical engineering. Electronics Nuclear engineering Natural ester insulation (NEI) oils have been developed since the early 1990s due to the increasing environmental, health and safety concerns from the public. NEI oils are well-known for having high fire and flash points, great moisture tolerance, good biodegradability and non-toxicity. However, NEI oils also have several drawbacks compared to mineral insulation (MI) oils such as low oxidative stability, high viscosity, low pour point and low resistance towards lightning impulse. Previous researchers have discovered that the oxidative stability of NEI oils can be improved by the addition of mixed antioxidants. However, such studies are focused on only one criterion and they neglect the dielectric strength of the oils. On the other hand, the one-factor-at-a-time (OFAT) method is commonly used to determine the optimum concentration of mixed antioxidants and requires a large number of samples. In this study, response surface methodology (RSM) technique is used to determine the optimum concentration of mixed antioxidants which will enhance the oxidative stability of NEI oil. The dielectric strength of the NEI oil is evaluated based on the AC breakdown voltage (BdV). RSM is chosen in this study because it is capable of determining the optimum values of the parameters of interest, without the need for a large number of test runs which will incur high cost for experimentation. A regression model is developed in this study based on the AC breakdown voltage of the NEI oil, propyl gallate and citric acid antioxidant concentrations. The oxidative induction time (OIT) and partial discharge inception voltage (PDIV) are carried out to determine the effect of the oxidative stability and withstand voltage on the partial discharge, respectively. The results showed that there is enhancement in the oxidative stability and dielectric strength of NEI oil using the optimum concentrations of mixed antioxidants relative to the fresh NEI oil. It can be concluded that RSM is a feasible alternative to determine the optimum concentration of antioxidants for NEI oils, which in turn, helps improve the oxidative stability and dielectric strength of these oils. IEEE 2017-04 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/20838/2/Published%20IEEE%20TDEI%206221.pdf Ab Ghani, Sharin and Muhamad, Nor Asiah and Zainuddin, Hidayat and Noorden, Zulkarnain Ahmad and Mohamad, Noraiham (2017) Application Of Response Surface Methodology For Optimizing The Oxidative Stability Of Natural Ester Oil Using Mixed Antioxidants. IEEE Transactions On Dielectrics And Electrical Insulation, 24 (2). 974 - 983. ISSN 1070-9878 https://ieeexplore.ieee.org/abstract/document/7909207/ 10.1109/TDEI.2017.006221
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
topic T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
spellingShingle T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
Ab Ghani, Sharin
Muhamad, Nor Asiah
Zainuddin, Hidayat
Noorden, Zulkarnain Ahmad
Mohamad, Noraiham
Application Of Response Surface Methodology For Optimizing The Oxidative Stability Of Natural Ester Oil Using Mixed Antioxidants
description Natural ester insulation (NEI) oils have been developed since the early 1990s due to the increasing environmental, health and safety concerns from the public. NEI oils are well-known for having high fire and flash points, great moisture tolerance, good biodegradability and non-toxicity. However, NEI oils also have several drawbacks compared to mineral insulation (MI) oils such as low oxidative stability, high viscosity, low pour point and low resistance towards lightning impulse. Previous researchers have discovered that the oxidative stability of NEI oils can be improved by the addition of mixed antioxidants. However, such studies are focused on only one criterion and they neglect the dielectric strength of the oils. On the other hand, the one-factor-at-a-time (OFAT) method is commonly used to determine the optimum concentration of mixed antioxidants and requires a large number of samples. In this study, response surface methodology (RSM) technique is used to determine the optimum concentration of mixed antioxidants which will enhance the oxidative stability of NEI oil. The dielectric strength of the NEI oil is evaluated based on the AC breakdown voltage (BdV). RSM is chosen in this study because it is capable of determining the optimum values of the parameters of interest, without the need for a large number of test runs which will incur high cost for experimentation. A regression model is developed in this study based on the AC breakdown voltage of the NEI oil, propyl gallate and citric acid antioxidant concentrations. The oxidative induction time (OIT) and partial discharge inception voltage (PDIV) are carried out to determine the effect of the oxidative stability and withstand voltage on the partial discharge, respectively. The results showed that there is enhancement in the oxidative stability and dielectric strength of NEI oil using the optimum concentrations of mixed antioxidants relative to the fresh NEI oil. It can be concluded that RSM is a feasible alternative to determine the optimum concentration of antioxidants for NEI oils, which in turn, helps improve the oxidative stability and dielectric strength of these oils.
format Article
author Ab Ghani, Sharin
Muhamad, Nor Asiah
Zainuddin, Hidayat
Noorden, Zulkarnain Ahmad
Mohamad, Noraiham
author_facet Ab Ghani, Sharin
Muhamad, Nor Asiah
Zainuddin, Hidayat
Noorden, Zulkarnain Ahmad
Mohamad, Noraiham
author_sort Ab Ghani, Sharin
title Application Of Response Surface Methodology For Optimizing The Oxidative Stability Of Natural Ester Oil Using Mixed Antioxidants
title_short Application Of Response Surface Methodology For Optimizing The Oxidative Stability Of Natural Ester Oil Using Mixed Antioxidants
title_full Application Of Response Surface Methodology For Optimizing The Oxidative Stability Of Natural Ester Oil Using Mixed Antioxidants
title_fullStr Application Of Response Surface Methodology For Optimizing The Oxidative Stability Of Natural Ester Oil Using Mixed Antioxidants
title_full_unstemmed Application Of Response Surface Methodology For Optimizing The Oxidative Stability Of Natural Ester Oil Using Mixed Antioxidants
title_sort application of response surface methodology for optimizing the oxidative stability of natural ester oil using mixed antioxidants
publisher IEEE
publishDate 2017
url http://eprints.utem.edu.my/id/eprint/20838/2/Published%20IEEE%20TDEI%206221.pdf
http://eprints.utem.edu.my/id/eprint/20838/
https://ieeexplore.ieee.org/abstract/document/7909207/
_version_ 1705060038376161280
score 13.211869

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