ASRIC Journal of Engineering Sciences 2025 v6-i1
ISSN: 2795-3556
EISSN: 2795-3548
Current Issue
ASRIC Journal of Engineering Sciences 2025 v6-i1
Published: 2025-12-31
Articles
A Mathematical Model of a Commercial Fuel Cell for Evaluating Efficiency Under Varying Ambient Conditions
B. B. Ndebele*, P. Naidoo, P. Ragimana, M. Makhubo
Long-endurance aviation propulsion is currently dominated by carbon-based fuels. However, due to climate change, which is largely attributed to carbon dioxide (CO2) emissions from human activities, aviation contributes approximately 4 %, a more climate friendly fuel is sought. Hydrogen (H2), particularly in proton exchange membrane (PEM) fuel cells, offers a promising carbon-neutral alternative. T
Evaluation of Guidance, Navigation, and Control Algorithms for Hydrogen-Powered Multi-Aircraft Systems
Mamokete Makhubo*, Bright Ndebele, Phumudzo Ragimana,
This paper presents a modular digital-twin framework to compare inner-loop attitude controllers: geometric PD (“PID”), discrete Linear-Quadratic Regulator (LQR), and a move-penalized linear Model Predictive Controller (MPC), for a heavy-lift T30-class quadcopter intended for hydrogen propulsion study. The twin couples 6-DoF rigid-body dynamics, actuator mixing, motor/ESC lag, a bus-level electrica
Bridging the Skills Gap: Rethinking Project-Based Training in Technical and Vocational Education in Uganda
Nsiimire Annet
This paper investigated skills gap in Technical and Vocational Education and Training (TVET) institutions in Uganda, based on assessment of six TVETs from five national examination series (November 2023 - May 2025). Evidence from on-site inspections, interviews, and photographs highlighted weak project-based learning marked by recycled projects, suboptimal learning conditions, material shortage, l
Unlocking Project Efficiency Through Artificial Intelligence: A Case for Transforming Construction Management in South Africa
Jojo Kayembe*, Takalani Netshipale, Mondli Mthombeni, Nicoline De Wet
South Africa’s construction sector faces chronic inefficiencies, including delays, budget overruns, and low productivity. Artificial Intelligence (AI) has emerged as a transformative tool globally, demonstrating measurable improvements in project scheduling, risk management, and cost prediction. However, local adoption remains limited. This study investigates the perceptions, barriers, and readine
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