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Department of Mechanical, Bioresources and Biomedical Engineering

Department of Mechanical, Bioresources and Biomedical Engineering

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Dr LO Ajuka

Post-Doctoral Research Fellow | College of Science, Engineering and Technology
School of Engineering | Department: Mechanical Engineering

Tel: (27) 731778709
Campus: Science Campus
Building: Phapha Building
Office: 01-002

  • PhD in Mechanical Engineering                  
  • MSc in Mechanical Engineering                
  • BEng in Mechanical Engineering

  • Automotive applications, fuels and energy

Book chapter:        

Ajuka, L.O., Odunfa, K.M. and Oyewola, M.O. (2023). Energy Storage for Automotive Applications: Limitations and Propelling Opportunities for Next Generation Batteries. In Oluleye, A.E., Oladokun, V.O., Anyaeche, C.O., Odedairo, B.O. and Adebimpe, O.A. (Eds.) Advancing Work Systems in Nigeria. Ibadan: Department of Industrial and Production Engineering. Pp. 179–194. ISBN: 978-078-518-3

  • Odunfa, K.M., Ajuka, L.O. and Odeniyi, S.O. (2022). Numerical Analysis of the Thermo-physical Properties of R600a Refrigerant Enhanced with Diamond Nanoparticles in Vapour Compression Refrigerating System. International Journal of Engineering and Management Research Vol. 12 No. 6: 292–298.
  • Ajuka, L.O. and Odunfa, K.M. (2022). Exergetic Analysis of Low Gram Nano-refrigerant Charge for Transport Application. Global Journal of Engineering and Technology Advances Vol. 12 No. 3: 16–24.
  •  Ajuka, L.O., Odunfa, K.M., Oyewola, M.O., Ikumapayi, O.M., Akinlabi, S.A. and Akinlabi, E.T. (2022). Modeling of Viscosity of Composite of TiO2-Al2O3 and Ethylene Glycol Nanofluid by Artificial Neural Network: Experimental Correlation. International Journal on Interactive Design and Manufacturing Vol. 16 No. 2: 1–10.
  • Ajuka, L.O., Ikumapayi, O.M. and Akinlabi, E.T. (2022). Entropy Generation of Graphene Nanoplatelets in Micro and Mini-channels: Nanofluid Flow in Automotive Cooling Applications. International Journal of Heat and Technology Vol. 40 No. 4: 917–926.             
  • Odunfa, K.M., Anene-Nzelu, O. and Ajuka, L.O. (2023). Energy Audit of Nigeria’s International Airports: Case of the Murtala Muhammed International Airport, Lagos, Nigeria. International Journal of Engineering Research and Applications Vol. 13 No. 1: 56–86.
  •  Ajuka, L.O., Ogedengbe, T.S., Adeyi, T., Ikumapayi, O.M. and Akinlabi, E.T. (2023). Wear Characteristics and Testing of Engineering Materials: A Review. Cogent Engineering, Vol. 10 No. 1: 1–33.
  •  Ajuka, L.O., Kazeem, R.A., Kuti, O.A., Jen, T.C., Afolalu, A.S. and Akinlabi, E.T. (2024). Decarbonized Automotive Fuel: Liquefied Petroleum Gas Biosynthesis, Benefits and Drawbacks. Results in Engineering Vol. 21: 1–11.

  • Postdoctoral Fellow, University of South Africa
  • Senior Lecturer, Automotive Engineering Department, University of Ibadan, Nigeria
  • Registered Engineer, Council for Regulation of Engineering in Nigeria (COREN)
  • Member, Nigerian Institute of Management (NIM)
  • Editorial Member, International Conference on Heat Transfer, Fluid Mechanics and Thermodynamics (HEFAT) and Applied Thermal Engineering (ATE)
  • Reviewer, International Conference on Engineering for a Sustainable World

  • Design and fabrication of mobile solar refrigerator
  • Development of non-contact, adaptable hand-washing device
  • Development of limited-contact posture change device for patients
  • Development (3-D printing) of multiplex point of care test device (POCT)

Short biography

Luke O. Ajuka is a Senior Lecturer in the Department of Automotive Engineering, University of Ibadan, Nigeria. He holds BEng, MSc and PhD degrees in Mechanical Engineering. He is a recipient of the tertiary education fund (TETFund) conference grant to the US. He is passionate about research in automotive applications, fuels and energy. He has presented papers in both local and international forums, and published papers on automotive systems and applications in reputable peer-reviewed journals. He is currently a Postdoctoral Fellow at the University of South Africa (Unisa), with interest in optimising alternative fuel mixture formation using different numerical techniques and machine learning.