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

Author

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  • Mujtaba, M.A.
  • Masjuki, H.H.
  • Kalam, M.A.
  • Ong, Hwai Chyuan
  • Gul, M.
  • Farooq, M.
  • Soudagar, Manzoore Elahi M.
  • Ahmed, Waqar
  • Harith, M.H.
  • Yusoff, M.N.A.M.

Abstract

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.

Suggested Citation

  • Mujtaba, M.A. & Masjuki, H.H. & Kalam, M.A. & Ong, Hwai Chyuan & Gul, M. & Farooq, M. & Soudagar, Manzoore Elahi M. & Ahmed, Waqar & Harith, M.H. & Yusoff, M.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, Elsevier, vol. 158(C), pages 202-214.
    • Handle: RePEc:eee:renene:v:158:y:2020:i:c:p:202-214
    DOI: 10.1016/j.renene.2020.05.158
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    7. Viswanathan, Vinoth Kannan & Kaladgi, Abdul Razak & Thomai, Pushparaj & Ağbulut, Ümit & Alwetaishi, Mamdooh & Said, Zafar & Shaik, Saboor & Afzal, Asif, 2022. "Hybrid optimization and modelling of CI engine performance and emission characteristics of novel hybrid biodiesel blends," Renewable Energy, Elsevier, vol. 198(C), pages 549-567.
    8. Haseeb Yaqoob & Yew Heng Teoh & Muhammad Ahmad Jamil & Tahir Rasheed & Farooq Sher, 2020. "An Experimental Investigation on Tribological Behaviour of Tire-Derived Pyrolysis Oil Blended with Biodiesel Fuel," Sustainability, MDPI, vol. 12(23), pages 1-13, November.
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    11. Mujtaba, M.A. & Kalam, M.A. & Masjuki, H.H. & Razzaq, Luqman & Khan, Haris Mehmood & Soudagar, Manzoore Elahi M. & Gul, M. & Ahmed, Waqar & Raju, V. Dhana & Kumar, Ravinder & Ong, Hwai Chyuan, 2021. "Development of empirical correlations for density and viscosity estimation of ternary biodiesel blends," Renewable Energy, Elsevier, vol. 179(C), pages 1447-1457.
    12. M. A. Mujtaba & H. H. Masjuki & M. A. Kalam & Fahad Noor & Muhammad Farooq & Hwai Chyuan Ong & M. Gul & Manzoore Elahi M. Soudagar & Shahid Bashir & I. M. Rizwanul Fattah & L. Razzaq, 2020. "Effect of Additivized Biodiesel Blends on Diesel Engine Performance, Emission, Tribological Characteristics, and Lubricant Tribology," Energies, MDPI, vol. 13(13), pages 1-16, July.
    13. Jeyaseelan, Thangaraja & El Samad, Tala & Rajkumar, Sundararajan & Chatterjee, Abhay & Al-Zaili, Jafar, 2023. "A techno-economic assessment of waste oil biodiesel blends for automotive applications in urban areas: Case of India," Energy, Elsevier, vol. 271(C).
    14. Bora, Akash Pratim & Konda, Lutukurthi D.N.V.V. & Pasupuleti, Srinivas & Durbha, Krishna Sandilya, 2022. "Synthesis of MgO/MgSO4 nanocatalyst by thiourea–nitrate solution combustion for biodiesel production from waste cooking oil," Renewable Energy, Elsevier, vol. 190(C), pages 474-486.
    15. Jain, Akshay & Bora, Bhaskor Jyoti & Kumar, Rakesh & Sharma, Prabhakar & Deka, Hiranya, 2023. "Theoretical potential estimation and multi-objective optimization of Water Hyacinth (Eichhornia Crassipes) biodiesel powered diesel engine at variable injection timings," Renewable Energy, Elsevier, vol. 206(C), pages 514-530.
    16. Wang, Zhengxin & Peng, Xinggan & Xia, Ao & Shah, Akeel A. & Yan, Huchao & Huang, Yun & Zhu, Xianqing & Zhu, Xun & Liao, Qiang, 2023. "Comparison of machine learning methods for predicting the methane production from anaerobic digestion of lignocellulosic biomass," Energy, Elsevier, vol. 263(PD).
    17. Soudagar, Manzoore Elahi M. & Mujtaba, M.A. & Safaei, Mohammad Reza & Afzal, Asif & V, Dhana Raju & Ahmed, Waqar & Banapurmath, N.R. & Hossain, Nazia & Bashir, Shahid & Badruddin, Irfan Anjum & Goodar, 2021. "Effect of Sr@ZnO nanoparticles and Ricinus communis biodiesel-diesel fuel blends on modified CRDI diesel engine characteristics," Energy, Elsevier, vol. 215(PA).

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