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...
| Main Authors: | , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English English |
| Published: |
Elsevier Ltd
2020
|
| Subjects: | |
| Online Access: | http://irep.iium.edu.my/82221/ 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 |
| _version_ | 1848789261970571264 |
|---|---|
| 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. |
| building | IIUM Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T17:53:55Z |
| format | Article |
| id | iium-82221 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T17:53:55Z |
| publishDate | 2020 |
| publisher | Elsevier Ltd |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-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 |
| 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 |
| 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_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_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_sort | ultrasound-assisted process optimization and tribological characteristics of biodiesel from palm-sesame oil via response surface methodology and extreme learning machine - cuckoo search |
| topic | T Technology (General) TJ Mechanical engineering and machinery |
| url | http://irep.iium.edu.my/82221/ http://irep.iium.edu.my/82221/ http://irep.iium.edu.my/82221/ 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 |