One crucial difficulty with fast charging lithium-ion battery packs is the possibility of battery capacity deterioration if not properly managed. Fast charging electric vehicles for example, should involve ensuring that each one of the thousands of cells are charged safely and are balanced to all the other cells if the range of the vehicle is to be maintained for several years. The most common way to safely charge and balance cells involves a lot of wasted energy and suboptimal capacity saving methods.
The proposed research project is to design a microfluidic contact lens that will be used to track the fluctuations in intraocular pressure. Intraocular pressure is the primary factor to monitor the progression of glaucoma, which is a chronic disease that leads to permanent vision loss and currently has no cure, making early and frequent testing essential. By utilizing microfluidic channels embedded into a soft contact lens, the changes in corneal curvature can be captured and the intraocular pressure can be determined, as it is directly proportional.
The proposed Mitacs E-Accelerate project aims to develop the application of 3D-printing technique, and facilitate the transformation from conventional fabrication methods to newly developed additive manufacturing technologies for Canadian industrial sectors. One of the main barriers that prevents the wide-spread utilization of 3D-printing technique is the uncertainties in the resultant performance of the as-printed parts. Therefore, this project will focus on the better understanding of the resultant microstructural features and mechanical properties of the 3D-printed metallic components.
Heat exchangers, used in building heating, ventilation and air conditioning (HVAC) systems to transfer heat from hot to cold fluids, are designed to operate under ideal conditions. However, in practice operating conditions may vary with ambient temperature or humidity. HVAC system efficiency can be improved significantly if fluid flow rates are adjusted in response to such changes. Armstrong Fluid Technology is a Canadian firm that has developed control systems to adjust the flow through building heat exchangers to maximize their efficiency.
Nondestructive evaluation (NDE) is frequently performed for various manufacturing sectors, but its current practices require human operators to be involved in all aspects of the data collection, transfer and analysis. With the advent of Industry 4.0, NDE technology needs to be upgraded to “NDE 4.0” comprising essential aspects such as automatic and autonomous NDE, interconnectivity for data communication, and real-time data analytics using AI, which cannot be achieved with current technology.
The ability to find fault in engine systems and proactively monitor their progression to remedy the root-cause before it fails is of paramount importance in today's industry safety. An effecting change in current engine monitoring methods will require insight and understanding of the level of robustness and engineering rigour required to maintain safety and airworthiness standards. A model-based fault detection method compares the engine's output data to that of a model running simultaneously.
In this proposal, we intend to answer how infrastructure sensors can be used for autonomous driving. Using infrastructure sensors make automated driving safer, more simplified, and cost effective especially for multiple autonomous vehicles operating in known environments such as large residential/commercial complexes and resorts. Infrastructure sensors replace the main onboard vehicle perception sensors with infrastructure sensors mounted on the side of the road, for example on light posts.
This proposed Mitacs project will investigate and further develop EIS (Electrochemical Impedance Spectroscopy), or AC-impedance-based measurement hardware used for diagnosing faults in PEM (Proton Exchange Membrane) fuel cell systems (FCS), and incorporating the on-board EIS function in the fuel cell dc/dc converters used to transfer power from the fuel cell to the vehicle traction drive.
Currently, the service provided by GRAD4 has an interface for visualization of CAD models. However, there is still room for improvement in speed and comprehensibility for the users: both manufacturers and buyers. The main challenge of implementing the improvements is in relatively high computational cost of such visualizations: while a regular PC handles such task efficiently, web-based tools tend to have difficulties when modelling 3D object with similar performance.
Car Infotainment and Navigation systems to date have only basic interactivity and functionality, and there is nothing in the car today that will keep drivers aware of their surroundings outside the car when the car is in a fully autonomous driving mode. Therefore, we want to contribute in the development of a new in-car infotainment system that is both interactive, personal, contextual (aware of the car’s location and surrounding services).