The most energy intensive component of mineral processing is comminution (crushing and grinding), consuming, on average, about 50% of the total electric energy of a mine site . To optimize and thereby improve the energy performance, accurate measurement of the ore hardness is critical. The proposed study is aimed at developing a new test apparatus […]

Additive manufacturing (AM), 3D printing, offers flexibility in manufacturing and can process a wide range of materials. In this project, polymers and composites are investigated to increase mechanical performance, and to reduce weight, cost, and lead time of candidate parts. Pratt & Whitney Canada (P&WC) can greatly benefit from AM processes in aircraft engine components. […]

Le froid extrême est un environnement quotidien pour de nombreux travailleurs canadiens. La conception de vêtements de protection efficaces contre le froid passe par une connaissance parfaite de son isolation thermique, ce qui n’est pas actuellement le cas. Pour pallier à cette lacune, ce projet propose 1) de déterminer l’isolation thermique de différents assemblages de […]

In this project, we design and develop a big data analytics system, which is expected to support the advancement in the state-of-the-art in modeling the dynamic risks associated to emergency responders being delayed at active rail crossings. The model will be used to show risk within cities and support prescribed solutions to mitigate the impacts. […]

There is an urging need to enhance the market competitiveness of the fiber reinforced polymer (FRP) material as an alternative to conventional steel and concrete materials in building retrofit projects in Canada due to the reduced life-cycle cost of the former. Optimizing the design of FRP reinforcement is a key element toward increasing the market […]

This project is aimed at providing the sense of touch (haptics) in Robotics-Assisted Minimally Invasive Surgery (RAMIS). In our previous work, we developed a 7-DOF haptics-enabled master-slave teleoperation setup at CSTAR (Canadian Surgical Technologies and Advanced Robotics) for RAMIS. This setup is a research platform for two important applications: endoscopic suturing and tumor localization in […]

Hydra Energy Corporation Commercial Demonstration Project based in Prince George, British Columbia 12.4 MT/day of waste hydrogen will be captured, purified and transported to an onsite hydrogen refueling station from which Class 8 tractor-trailer truck fleets will refuel daily. Hydra’s demonstration project can provide a significant reduction in fleet greenhouse gas(GHG) emissions, Particulate Matter and […]

In 2016, Magna Corporate has partnered with Exonetik to develop multiple prototypes of active seat suspension which were used for market validation and technical feasibility investigation. In June 2019, Magna Seating officially launched a research and development program to bring the active seat suspension to production in July 2021. The objective of this applied research […]

Perfluoroalkyl and Polyfluoroalkyl substances (PFAS) are anthropogenic compounds with unique properties and wide applications. The consequence of using such persistent chemicals is widespread contamination reported for groundwater, soil, sediment, and wastewater, especially in industrialized countries such as Canada. The endocrine-disrupting and likely carcinogenic nature of PFAS have resulted in strict regulations on PFAS in drinking […]

La recherche vise à développer un poste de travail incluant des outils manuels, des méthodes de travail, des dispositifs de maintien des pièces, d’aspiration des poussières, et d’éclairage qui permettent de réduire les facteurs de risques à la santé et à la sécurité des travailleurs dans une usine de remise à neuf de pièces de […]

Wheelchairs are one of the most important devices in rehabilitation that have immensely improved the quality of life for people with disabilities and impairments. Wheelchairs are subject to tips and falls, that can cause injuries. For a person who relies on a wheelchair for mobility, such injuries can have significant short and long-term effects on […]

The objective of this research project is to use Deep Learning in predicting ships’ arrival times of a medium size multi-commodity bulk port. The outcome of this project will serve dynamically in updating berths schedules to minimize ports turnaround time and build models closer to reality. We will be using ships trajectories data or AIS […]