Many mills are currently using biomass (hog fuel, bark, sawdust, demolition waste etc.) for heat and electricity generation due to its greenhouse gas neutral status. The combustion of such feedstock generates ash residues the properties of which vary widely with the properties of feedstock and the boiler operating conditions. As such, majority of the ash […]

Wearable electronics has become one of the most intensive research fields due to the ability to improve human life, enable interaction in the virtual world and the demand for portable electronics. Textiles with embedded electronic elements hold great potential for the next generation of health monitoring and human-machine interaction devices. Flexible sensors built on textiles […]

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 […]

Driver error is a contributing cause of most motor vehicle collisions. Consequently, accident rates are much higher in scenarios where safe transit requires increased reliance on driver ability and decision-making. Intersections, for example, are potential conflict zones, because unexpected hazards are common. For accident reconstructionists, like those at Kodsi Engineering, understanding hazard response enables comparison […]

Niedner Inc is a Quebec-based industrial partner, specializing in manufacturing of fire hoses and water tubing systems, which are vastly used e.g. in forestry fire, the environmental management of contaminated site remediation and water main rehabilitation applications. Their state of the art facility consists of in excess of 70,000 square feet and is exclusively devoted […]

TechnipFMC is a global leader in subsea, onshore, offshore, and surface technologies. They use innovative technologies to help their clients develop their oil and gas resources. The purpose of this project is to research and evaluate two new technologies to determine the best fit for deploying the technology in TechnipFMC’s operational environment.

The objective of the proposed research is to investigate the performance degradation of a full-scale modified NACA 66 section, which is typically used for marine propellers, due to leading-edge (LE) manufacturing tolerances. Two-dimensional computational fluid dynamics (CFD) simulations will be carried out for the base section without defect (as designed) and sections with LE defects […]

Battery technologies are urgently needed for emerging high-tech applications, such as medical implants, wireless sensors, wireless devices. These new devices have very limited space and require high reliability, and therefore demand the batteries could provide high energy per volume and high safety. Current Li-ion batteries cannot meet this demand due to its relatively low energy […]

Wind power is becoming an important source of clean electricity. However, wind turbines operating at low wind conditions suffer from reduced efficiency and reduced electricity generation. Leading-edge droops are small extensions added to the front of the blade that can potentially improve the turbine efficiency under low wind speeds. The Mitacs project will investigate how […]

Current needs for renewable and emission-free technologies imposes hydroelectric power plants to generate power in a predictable and reliable fashion. Replacing metallic to polymeric coatings in thrust bearings allows hydroelectric turbines to operate at a wider range of operation parameters. However, the sensibility of polymeric materials to the manufacturing method imposes important uncertainties on the […]

Teck Coal produces metallurgical quality coal from the coalfields in southeastern British Columbia and it is the second largest exporter of metallurgical coal in the world. It operates four coal mines in SE BC. One of the Teck Coal operations has been experiencing difficulty in processing fine coal for several years. Overall, this situation has […]

The aim of this research project is to develop innovative tools that will help financial institutions deliver highly personalized services to their customers. We intend to use the most recent advances in statistical learning methods and machine learning algorithms mostly in deep learning, vector embeddings and autoencoders, to leverage the power of time series models […]