Ultrasound-assisted process optimization and tribological characteristics of biodiesel from palm-sesame oil via response surface methodology and extreme learning machine - Cuckoo search

The purpose of this study was the improvement of cold flow and lubricity characteristics of biodiesel produced from the palm-sesame oil blend. Extreme learning machine (ELM) and response surface methodology (RSM) techniques were used to model the production process and the input variables (time, cat...

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Main Authors: Mujtaba, M. A., Masjuki, Haji Hassan, Kalam, Mohammad Abul, Ong, Hwai Chyuan, Gul, M., Farooq, Muhammad, Soudagar, Manzoore Elahi M, Ahmed, Waqar, Harith, M. H., Yusoff, Mohammad N.A.M.
Format: Article
Language:English
English
Published: Elsevier Ltd 2020
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Online Access:http://irep.iium.edu.my/82221/1/82221_Ultrasound-assisted%20process%20optimization%20and%20tribological%20characteristics%20of%20biodiesel%20from%20palm-sesame_full%20text.pdf
http://irep.iium.edu.my/82221/2/82221_Ultrasound-assisted%20process%20optimization%20and%20tribological%20characteristics%20of%20biodiesel%20from%20palm-sesame_scopus.pdf
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spelling my.iium.irep.822212020-09-15T09:02:13Z http://irep.iium.edu.my/82221/ Ultrasound-assisted process optimization and tribological characteristics of biodiesel from palm-sesame oil via response surface methodology and extreme learning machine - Cuckoo search Mujtaba, M. A. Masjuki, Haji Hassan Kalam, Mohammad Abul Ong, Hwai Chyuan Gul, M. Farooq, Muhammad Soudagar, Manzoore Elahi M Ahmed, Waqar Harith, M. H. Yusoff, Mohammad N.A.M. T Technology (General) TJ Mechanical engineering and machinery The purpose of this study was the improvement of cold flow and lubricity characteristics of biodiesel produced from the palm-sesame oil blend. Extreme learning machine (ELM) and response surface methodology (RSM) techniques were used to model the production process and the input variables (time, catalyst amount, methanol to oil ratio, and duty cycle) were optimized using cuckoo search algorithm. The mean absolute percentage error (MAPE), coefficient of determination (R2), mean square error (MSE), root mean square error (RMSE), and standard error of prediction (SEP) were calculated to evaluate the performance of RSM and ELM. The results showed that ELM model had better performance in prediction than RSM model. The optimum yield of P50S50 biodiesel obtained was 96.6138% under operating parameters of time (38.96 min), duty cycle (59.52%), methanol to oil ratio (60 V/V %) and catalyst amount (0.70 wt%). The cold flow characteristics of P50S50 biodiesel are significantly improved like cloud point (7.89 °C), pour point (3.80 °C), and cold filter plugging point (- 1.77 °C) with better oxidation stability 6.89 h. The average coefficient of friction P50S50 biodiesel was lower than palm biodiesel (B100) and B10 commercial diesel by 2.29% and 12.37% respectively. Elsevier Ltd 2020-10 Article PeerReviewed application/pdf en http://irep.iium.edu.my/82221/1/82221_Ultrasound-assisted%20process%20optimization%20and%20tribological%20characteristics%20of%20biodiesel%20from%20palm-sesame_full%20text.pdf application/pdf en http://irep.iium.edu.my/82221/2/82221_Ultrasound-assisted%20process%20optimization%20and%20tribological%20characteristics%20of%20biodiesel%20from%20palm-sesame_scopus.pdf Mujtaba, M. A. and Masjuki, Haji Hassan and Kalam, Mohammad Abul and Ong, Hwai Chyuan and Gul, M. and Farooq, Muhammad and Soudagar, Manzoore Elahi M and Ahmed, Waqar and Harith, M. H. and Yusoff, Mohammad N.A.M. (2020) Ultrasound-assisted process optimization and tribological characteristics of biodiesel from palm-sesame oil via response surface methodology and extreme learning machine - Cuckoo search. Renewable Energy, 158. pp. 202-214. ISSN 0960-1481 https://www.sciencedirect.com/science/article/abs/pii/S0960148120308636?via%3Dihub 10.1016/j.renene.2020.05.158
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
English
topic T Technology (General)
TJ Mechanical engineering and machinery
spellingShingle T Technology (General)
TJ Mechanical engineering and machinery
Mujtaba, M. A.
Masjuki, Haji Hassan
Kalam, Mohammad Abul
Ong, Hwai Chyuan
Gul, M.
Farooq, Muhammad
Soudagar, Manzoore Elahi M
Ahmed, Waqar
Harith, M. H.
Yusoff, Mohammad N.A.M.
Ultrasound-assisted process optimization and tribological characteristics of biodiesel from palm-sesame oil via response surface methodology and extreme learning machine - Cuckoo search
description The purpose of this study was the improvement of cold flow and lubricity characteristics of biodiesel produced from the palm-sesame oil blend. Extreme learning machine (ELM) and response surface methodology (RSM) techniques were used to model the production process and the input variables (time, catalyst amount, methanol to oil ratio, and duty cycle) were optimized using cuckoo search algorithm. The mean absolute percentage error (MAPE), coefficient of determination (R2), mean square error (MSE), root mean square error (RMSE), and standard error of prediction (SEP) were calculated to evaluate the performance of RSM and ELM. The results showed that ELM model had better performance in prediction than RSM model. The optimum yield of P50S50 biodiesel obtained was 96.6138% under operating parameters of time (38.96 min), duty cycle (59.52%), methanol to oil ratio (60 V/V %) and catalyst amount (0.70 wt%). The cold flow characteristics of P50S50 biodiesel are significantly improved like cloud point (7.89 °C), pour point (3.80 °C), and cold filter plugging point (- 1.77 °C) with better oxidation stability 6.89 h. The average coefficient of friction P50S50 biodiesel was lower than palm biodiesel (B100) and B10 commercial diesel by 2.29% and 12.37% respectively.
format Article
author Mujtaba, M. A.
Masjuki, Haji Hassan
Kalam, Mohammad Abul
Ong, Hwai Chyuan
Gul, M.
Farooq, Muhammad
Soudagar, Manzoore Elahi M
Ahmed, Waqar
Harith, M. H.
Yusoff, Mohammad N.A.M.
author_facet Mujtaba, M. A.
Masjuki, Haji Hassan
Kalam, Mohammad Abul
Ong, Hwai Chyuan
Gul, M.
Farooq, Muhammad
Soudagar, Manzoore Elahi M
Ahmed, Waqar
Harith, M. H.
Yusoff, Mohammad N.A.M.
author_sort Mujtaba, M. A.
title Ultrasound-assisted process optimization and tribological characteristics of biodiesel from palm-sesame oil via response surface methodology and extreme learning machine - Cuckoo search
title_short Ultrasound-assisted process optimization and tribological characteristics of biodiesel from palm-sesame oil via response surface methodology and extreme learning machine - Cuckoo search
title_full Ultrasound-assisted process optimization and tribological characteristics of biodiesel from palm-sesame oil via response surface methodology and extreme learning machine - Cuckoo search
title_fullStr Ultrasound-assisted process optimization and tribological characteristics of biodiesel from palm-sesame oil via response surface methodology and extreme learning machine - Cuckoo search
title_full_unstemmed Ultrasound-assisted process optimization and tribological characteristics of biodiesel from palm-sesame oil via response surface methodology and extreme learning machine - Cuckoo search
title_sort ultrasound-assisted process optimization and tribological characteristics of biodiesel from palm-sesame oil via response surface methodology and extreme learning machine - cuckoo search
publisher Elsevier Ltd
publishDate 2020
url http://irep.iium.edu.my/82221/1/82221_Ultrasound-assisted%20process%20optimization%20and%20tribological%20characteristics%20of%20biodiesel%20from%20palm-sesame_full%20text.pdf
http://irep.iium.edu.my/82221/2/82221_Ultrasound-assisted%20process%20optimization%20and%20tribological%20characteristics%20of%20biodiesel%20from%20palm-sesame_scopus.pdf
http://irep.iium.edu.my/82221/
https://www.sciencedirect.com/science/article/abs/pii/S0960148120308636?via%3Dihub
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score 13.213113