Intelligent High Voltage Bushing System Analysis and Monitoring

It has been demonstrated in the previous research that monitoring only one point as the sole region of insulation degradation is not sufficient for operational safety of high-voltage bushings. Therefore, monitoring a wider volume of the high stress region inside the bushing using ECT sensing becomes a necessity for earlier detection of defects. In this project, we will investigate this problem and develop algorithms and prototypes of using microcontroller, sensors and wireless networking technologies for determining the condition of polymer high voltage bushings.

Pilot scale process flow sheet development for sustainable recycling of lamps from the waste stream

Lamps and lighting products are the most commonly used electrical product around the globe. With the improvement in lamp technologies, from incandescent bulb to compact fluorescent lamp to LED bulbs, the products have grown complex and hence they require an improved recycling process. In general, lamps consist of various valuable metals such as iron, copper, aluminium, chromium, silver, gold and some hazardous metals such as lead, mercury and arsenic. It also contains plastic and glass.

Investigation of turbulent three-phase flows in the FLSmidth nextSTEPTM flotation cells using CFD-PBM-kinetic simulation framework

The proposed research is aimed at both understanding and improving the flotation equipment design through the development and application of comprehensive multiphysics platform, which has the potential to create more accurate, fundamental basis for modeling, optimization, and scale-up of industrial flotation processes, based on physics rather than empirics and intuition.

Rapid Clean-Out Apparatus for Permeable Pavers

The main contribution by the interns will be to function as a research assistant to help with the labour intensive laboratory experiments, data analysis, and reporting tasks. The students will have a chance to work with the engineering staff at CHI and will provide additional support during the study.

Investigation of turbulent three-phase flows in the FLSmidth nextSTEPTM flotation cells using CFD-PBM-kinetic simulation framework

The proposed research is aimed at both understanding and improving the flotation equipment design through the development and application of comprehensive multiphysics platform, which has the potential to create more accurate, fundamental basis for modeling, optimization, and scale-up of industrial flotation processes, based on physics rather than empirics and intuition.

Cumulative Environmental Effects from Unconventional Oil and Gas Activity in the Liard River Watershed: Greenhouse Gas Emissions, Freshwater Extraction, and Risk of Cross-Contamination

The Liard River Watershed covers 275 000 square kilometres in Northeastern British Columbia. This vast area is increasingly being developed for its underlying shale gas resources using hydraulic fracturing (“fracking”). However, there are few studies investigating the environmental impacts of such activity in this vast area. Fossil fuels and freshwater are two of Canada’s most important natural resources, and therefore an understanding of the water-energy nexus is paramount.

Smart fusion of multi-sensors for UAVs Navigation - Year 2

The main outcome of this Mitacs-sponsored project will be a robust navigation software capable of providing accurate navigation solutions for commercial Unmanned Aerial Vehicles (UAVs). Such a software will further elevate the industrial competitiveness for the partner corporation, the Profound Positioning Inc. (PPI). After finishing this project, PPI will be able to offer more comprehensive embedded integrated UAV navigation products.

Machine Learning for Improved Automated Valuation Model (II)

To estimate the market value of a real estate, a computer software program can produce the result by analyzing the location, market conditions, and other characteristics relevant to it. This is known as the 'automated valuation model (AVM)'. The previous Mitacs Accelerate project with 'Data Nerds' has conducted a series of experiments with the attributes of real estates and geographic dependencies. This project is to further develop the AVM by incorporating temporal factors. The deep learning based approaches will be employed in this project.

Exploration of equillibrium moisture content characteristics for Manitoba-grown soybeans

The equilibrium moisture content (EMC) is an important physical property that significantly impacts all hygroscopic biomaterial. Knowledge of EMC of grains and pulses including soybeans is essential for efficient post-harvest operations such as drying, aeration, or storage. EMC changes with the variety but is also affected by handling and aeration practices. During storage, seeds undergo many micro-wetting and drying cycles or freezing and thawing cycles, which also affect the sorption and desorption characteristics.

Modeling and optimisation of woven composite hydraulic tubes, to reduce in-service defects and failures

Sanexen Environmental Services Inc. is a Quebec-based industrial partner, specializing in the environmental management of contaminated site remediation and water main rehabilitation. Over the past 30 years, the company has developed a profound expertise, as well as technologies to meet the needs of private and public organizations facing various environmental issues.

Pages