Get started
Author

Luke O. Ajuka

Observed names: Ajuka, Luke O., Ajuka, Luke Onyekwere, L. O. Ajuka, L.O. Ajuka, Luke Ajuka, Luke Onyekwere Ajuka
ORCID: 0000-0002-5818-5162
Observed ORCID: 0000-0002-5818-5162
OpenAlex ID: A5084126203
Wear characteristics, reduction techniques and its application in automotive parts – A review
2023 · Luke O. Ajuka, Temitayo S. Ogedengbe, et al. · Cogent Engineering · 30
PDF
Decarbonized automotive fuel: Liquefied petroleum gas biosynthesis, benefits and drawbacks
2024 · L.O. Ajuka, R.A. Kazeem, et al. · Results in Engineering · 22
Modeling of viscosity of composite of TiO2–Al2O3 and ethylene glycol nanofluid by artificial neural network: experimental correlation
2022 · Luke O. Ajuka, Moradeyo K. Odunfa, et al. · International Journal on Interactive Design and Manufacturing (IJIDeM) · 17
Energy and exergy analysis of vapour compression refrigeration system using selected eco-friendly hydrocarbon refrigerants enhanced with tio2-nanoparticle
2017 · Luke Ajuka, Moradeyo Odunfa, et al. · International Journal of Engineering & Technology · 14
Life cycle assessment of nanomaterials and laboratory consumables: toward safer and sustainable nanotechnology
2026 · Emmanuel O. Atofarati, Luke O. Ajuka, et al. · Journal of Nanoparticle Research · 11
PDF
Entropy Generation of Graphene Nanoplatelets in Micro and Mini Channels: Nanofluid Flow in Automotive Cooling Applications
2022 · Luke O. Ajuka, Omolayo M. Ikumapayi, et al. · International Journal of Heat and Technology · 7
PDF
Experimental characterization and predictive modelling of Al2O3/MWCNT hybrid nanofluid thermophysical properties using ANN, ANFIS, FCM and hybrid techniques
2026 · Modaser Momin, Emmanuel O. Atofarati, et al. · Journal of Thermal Analysis and Calorimetry · 1
PDF
Exergy-Informed Machine Learning Framework for Optimizing Waste Heat-to-Power Conversion in Automotive Systems: A Meta-Analytic Study
2026 · Luke Ajuka, Christopher Enweremadu · 1
Performance Investigation on the Heat Transfer of Composite rGO-SiO₂ Nanofluid in a Radiator
2025 · Luke Ajuka, Christopher Enweremadu · Future Cities and Environment · 1
PDF
Machine Learning-Enabled Innovation in Automotive Manufacturing Under Industry 4.0: A Review
2026 · L.O. Ajuka, D. Nasamu, et al.
Adaptive Injection Phasing and Methanol Blend Optimization for Low- Carbon Engine Performance: A Meta- Analysis and Machine-Learning Framework with CCS Integration
2026 · Luke Ajuka, Christopher Enweremadu · Journal of Climate Change
PDF
Nanotechnology in Automotive Wastewater Remediation: Functional Roles, Drawbacks, and Future Prospects
2026 · Luke O. Ajuka, Moses O. Petinrin, et al. · Nature Environment and Pollution Technology
PDF
Comparative performance of liquid cooled micro/mini channel heat exchangers and macro-scale shell and tube exchangers in phase turbulent flow: a systematic review
2026 · Luke O. Ajuka, Christopher C. Enweremadu · Journal of Thermal Analysis and Calorimetry
PDF
Machine Learning-Driven Optimization of Atomization Characteristics in Fuel Blends Using Nanomaterials: Meta Analysis
2026 · Luke Ajuka, Christopher Enweremadu
Machine Learning-Based Prediction of Combustion Characteristics of Ammonia-Blended Fuels for Automotive Applications
2026 · L. O. Ajuka, W. O. Balogun, et al. · Journal of Global Ecology and Environment
Exergetic analysis of low gram nano-refrigerant charge for transport application
2022 · Luke Onyekwere Ajuka, Kamilu Moradeyo Odunfa · Global Journal of Engineering and Technology Advances
PDF
Biofuel Resources Plan: Theoretical Case Assessment of Automotive Industries
2021 · Luke O. Ajuka · Engineering and Technology Journal
PDF
Works count: 20
Citation count: 104
H-index: 6
I10-index: 5
Year
Topic
Type