Mohamed Adnan Azmie, Bachelor of Engineering (Honours) in Mechanical Engineering graduate, was recently awarded the National Runner Up Award at the James Dyson Award 2022 for his innovative solution to increasing the safety of modern vehicles and driving conditions on the road.
He conceptualized the design and development of an IoT-integrated-power-shaft-health-condition-monitoring system, which is essentially a health-condition-monitoring system integrating the Internet of Things, advanced mechanical technology and signal processing to predict the failure of automotive power shafts and prevent fatalities in road accidents.
Mohamed’s inspiration to devise such a unique and innovative solution comes from his belief that preventive measures pose the best solution to problems. When he heard of an accident involving 12 vehicles on Highway 427 in Toronto due to the failure of a vehicle’s power shaft, it led him to read and research more about conditional monitoring systems. As he advanced his study on the topic, he developed a keen interest in learning more about preventative engineering and its mechanisms.
Mohamed compares his concept to how earthquakes get predicted due to observation of vibrations in the ground; he applied a similar strategy in building a predictive model with the addition of an IoT-focused system to develop his framework.
What sets his solution apart from the rest is that he combined both IoT and condition-monitoring techniques and practices to form a prediction model that could quickly detect transmission failure when it occurs. While condition-monitoring intelligent devices are widely available in the market, there are no pre-developed predictive models for automotive transmission failures or an IoT-connected system between condition monitoring devices and control centers.
The James Dyson Award is an international design award that celebrates, encourages, and inspires the next generation of design engineers. The prestigious competition empowers budding inventors to make a name for themselves by offering them the opportunity to win a significant cash prize and generate media exposure to kick-start their careers.
Mohamed’s plans are to expand the laboratory scale setup to include a transmission power shaft as the specimen. He intends to develop a supervised machine-learning program to improve the prediction model and further incorporate more compact and connected devices to reduce weight and size. In addition, as a part of the GLEE mission, Mohamed is part of the only team in the UAE that will be designing and sending a LunaSat to surface the Moon in 2023.
Associate Professor Pon Selvan, Head of Science and Engineering at Curtin Dubai, congratulated Mohamed on his remarkable achievement. He said, “Mohamed’s ground-breaking concept and efforts set a precedent for like-minded students and graduates to innovate and enable practical application of theoretical concepts to offer real-world solutions.
“As he continues to develop and improve the prototype, the Curtin Dubai Engineering Department will support his initiative and drive further contribution in the predictive engineering and sciences field.”
To read more about the project, please visit https://www.jamesdysonaward.org/en-AE/2022/project/iot-integrated-shaft-condition-monitoring-system/