Talal Yusaf

University of Southern Queensland, Toowoomba, Australia
National Centre for Engineering in Agriculture

Scopus ID: 23112065900
Researcher ID: C-2059-2008
Scholar profile: link
ORCID ID: http://orcid.org/0000-0002-5332-4792

Selected Publications:

  1. Hammoodi, A. K., A. Dhahad, H., H. Alawee, W., Omara, Z. M., Yusaf, T. (2023). “Pyramid solar distillers: A comprehensive review of recent techniques.” Results in Engineering, 18, 101157. doi: https://doi.org/10.1016/j.rineng.2023.101157

  2. Shalby, M., Gomaa, M. R., Salah, A., Marashli, A., Yusaf, T., Laimon, M. (2023). Impact of the Air Filtration in the Nacelle on the Wind Turbine Performance. Energies, 16 (9), 3715. doi: https://doi.org/10.3390/en16093715
  3. Nugroho, A., Mamat, R., Bo, Z., Hamzah AZMI, W., Yusaf, T., Khoerunnisa, F. (2023). Experimental assessment of tio2-poe nanolubricant stability and optimization process using one factor at a time (OFAT) based on response surface methodology. Journal of Thermal Engineering, 471–487. doi: https://doi.org/10.18186/thermal.1285208

  4. Ong, H. C., Masjuki, H. H., Mahlia, T. M. I., Silitonga, A. S., Chong, W. T., Yusaf, T. (2014). Engine performance and emissions using Jatropha curcas, Ceiba pentandra and Calophyllum inophyllum biodiesel in a CI diesel engine. Energy, 69, 427–445. doi: https://doi.org/10.1016/j.energy.2014.03.035

  5. Yusaf, T. F., Buttsworth, D. R., Saleh, K. H., Yousif, B. F. (2010). CNG-diesel engine performance and exhaust emission analysis with the aid of artificial neural network. Applied Energy, 87 (5), 1661–1669. doi: https://doi.org/10.1016/j.apenergy.2009.10.009

  6. Ghobadian, B., Rahimi, H., Nikbakht, A. M., Najafi, G., Yusaf, T. F. (2009). Diesel engine performance and exhaust emission analysis using waste cooking biodiesel fuel with an artificial neural network. Renewable Energy, 34 (4), 976–982. doi: https://doi.org/10.1016/j.renene.2008.08.008

  7. Najafi, G., Ghobadian, B., Tavakoli, T., Buttsworth, D. R., Yusaf, T. F., Faizollahnejad, M. (2009). Performance and exhaust emissions of a gasoline engine with ethanol blended gasoline fuels using artificial neural network. Applied Energy, 86 (5), 630–639. doi: https://doi.org/10.1016/j.apenergy.2008.09.017