Development and integration of feature detection algorithms for metal-based direct deposition processes

Metal-based direct energy deposition processes, such as robotic welding and laser powder fed additive manufacturing, ideally require feedback sensing of the deposition quality using vision detectors. Image processing algorithms are challenging to develop due to changing process operating conditions. Despite challenges, implementing in-process image processing algorithms is beneficial for traceability and quality assurance, for calibrating process models, and for developing closed loop control algorithms which are able to maintain deposition quality within acceptable quality margins.

“Minimally invasive mechanical circulatory support scientific data acquisition”

Heart failure is a prevalent disease affecting 250,000 people in North America alone. This disease can be treated by the transplant of a donor organ, but insufficient donor organs have led to the development of mechanical circulatory support which now provide a reliable alternate treatment option for patients. Unfortunately, many patients that could be helped by a mechanical circulatory support are deemed ineligible due to the invasive, open- heart surgery that is required to install such devices. Puzzle Medical Inc.

Optimized Design of Building-Integrated Photovoltaic Sunshades

The proposed project involves the creation of a computational framework to optimize the design of building integrated photovoltaic sunshades. Such shades would allow improved lighting conditions within the indoor environment, while generating power through the photovoltaic panels.

Printability of H13 tool steel by powder-fed laser additive manufacturing

The scope of this research is to provide a comprehensive recipe for powder-fed laser additive manufacturing (PF-LAM) of H13 tool steel. The H13 components manufactured by PF-LAM can potentially show superior mechanical properties as compared to H13 steel manufactured by conventional methods; however, the process optimization is requisite to achieve the additively manufactured H13 tool steel with satisfactory properties. The process is optimized to acquire the printed parts with minimum defects.

Catalyst Optimization for Solar-Driven GHG Conversion to Fuels

The anthropogenic emissions of the greenhouse gases carbon dioxide and methane are the leading cause of global climate change. Furthermore, these emissions are related to the manufacture of fuels and carbon-based products. Solar fuels technology addresses both of these issues. Photocatalysts, nanomaterials engineering to directly use solar energy, can convert carbon dioxide and methane into the same carbon-based consumer products we rely on every day using sunlight. This technology represents an advancement toward a clean and carbon recycling economy.

Zero-Power Sensors for Smart Homes

Sensors are used in many applications from capturing the biomedical signals to monitoring oil pipelines in harsh environment. Sensors have been traditionally used in industrial environment for improving safety, stochastic data acquisition, monitoring and controlling the environment. Nowadays, there is a huge demand for low-cost wireless sensors as a part of Internet-of-Things (IoT) for smart homes, smart cities, and industries. According to the latest market research report IoT sensors market is expected to be valued at USD 22.48 billion by 2023.

Over-The-Air (OTA) Testing System For 5G Wireless Devices

Over the air (OTA) test is the standard procedure for wireless devices to verify the transceiver and antennas performance together in specified conditions. Any wireless device such as tablets, phones and laptop must go under OTA testing. Furthermore, regulatory organizations require OTA testing before the wireless device being certified.
Due to the time-consuming procedure of OTA testing, currently manufacturers and vendors limit themselves to a small sample of devices for testing.

Pneumatic Based Clean Powering Options for Buses

This project aims to develop a pneumatic (compressed air) powertrain to be used in a 40-feet bus for municipal transit and school buses. Since the transportation sector is one of the prior contributors of Canada?s GHG emissions ( 24%), any alternative solutions to conventional vehicles carries significant importance to reach the GHG target that Canada promised under Paris agreement. Due to the nature-friendly characteristic of the developed system, it may contribute to achieving the GHG emissions target.

Sulphur dioxide sensor for wine quality control

BarrelWise is focusing on the barrel wine aging process which is labor intensive and is logistically challenging for large wineries with thousands of barrels. Due to wine evaporation through the permeable oak barrels, the aging wine needs to be topped to displace ullage and sulphated to protect the wine from oxidation and microbial spoilage. In addition, sulphur levels in the barrels have to be tracked to ensure sufficient protection to the wine, and guarantee that legislated sulphur levels are not surpassed.

Modelling of inspection cycles for power distribution transformers

EPCOR Distribution and Transmission Inc., an electric utility based in Edmonton is carrying out inspections on a fixed time interval for all of its distribution assets. In the case of pad-mounted distribution transformers, many of the time-based inspections resulted in the decision of “no action required”. This project aims to investigate the inspection data and develop a simple mathematical model to define the optimal inspection schedule for pad-mounted distribution transformers. This project will reduce the inspection costs of EPCOR Distribution and Transmission Inc.