Investigation of enhanced superplastic forming behaviour of Ti-6Al-4V alloy sheets for aerospace applications

Titanium alloys are used to manufacture aerospace components that require high strength at high operating temperatures such fan blades, heat shields and jet engine exhaust cones. Parts that have complex geometries are commonly formed at high temperature (around 900°C) so as to achieve maximum ductility during the forming process. By applying a small oscillating load during the forming process, the titanium alloy is expected to deform more uniformly and to a greater extent than during conventional superplastic forming.

Proof of Concept Electrical and Colorimetric Detection of Bacteria and Bacteriophages using Molecularly Imprinted Polymers in Microfluidic Sensors

The COVID-19 pandemic has affected the whole world by the spread of a new respiratory virus (SARS-CoV-2), posing a significant burden on the society and the health system. Rapid and selective detection of pathogens, like SARS-CoV-2 virus, in clinical samples, food, water and the environment at large is crucial in diagnosis and breakout prevention. Conventional lab-based biodetection methods lack sensitivity and are expensive, time-consuming, and non-specific in comparison to the newly developed portable biosensors.

A new automated approach for Engineering Design and Manufacturing Specification generation

RPS Composites Inc. designs and manufactures a wide range of corrosion-resistant (fibre reinforced plastic/polymer) FRP and Dual Laminate equipment from piping systems to ducts, stacks, hoods, covers, cells, and other miscellaneous custom equipment. Their engineering team has used different design methods provided in the codes and standards. The current process of designing and generating the manufacturing specifications is observed to be very time-consuming.

Additive Manufacturing of Functionally Graded Materials and Shape Memory Alloys with Biomedical Applications

Functionally graded materials (FGM) offer a better alternative than the conventional coating techniques since it eliminates the sudden change in composition between different materials. This project proposes to print FGM biomedical implants using a combination of titanium (Ti) powder and hydroxyapatite (HA) powder. Titanium will offer the required mechanical strength for load-bearing implants, while HA will enhance the biological properties of the implant surface to enhance bone cell attachment. The project will follow a comprehensive approach to cover the gaps in the literature.

Comprehensive Spray Characterization of Commercial and New Vaping Devices

Aerosol sprays from commercial and newly developed vaping devices will be characterized (size and concentration distributions) using a traditional low flow cascade impactor, in addition to PSD (Particle Size Distribution) analyser and PDA (Phase Doppler Anemometry). Localized regional aerosol deposition in the mouth as well as numerical simulations of aerosol dispersion will also be performed by the intern. The “know-how” and research data to be obtained in this project will be used by the company in the continuous improvement and development of new vaping devices.

Improving power production by better recognizing power quality issue events with machine learning

Solar energy offers a green energy future both for Canada and the world. To best collect this energy, solar farms, collections of solar panels, are often distributed to ensure efficient local collection. Weather is often a challenge for production; however, the failure of components can also adversely affect this as well. These failures can be difficult to track and predict; in this project, we propose to develop tools to help operators expect events that could lead to power losses and improve solar energy harvesting using both standard analytical tools and machine learning.

Evaluation of smart microcarriers for high-density culture and enzymefree harvesting of primary dermal sheath cells and fibroblasts

RepliCel is a regenerative medicine company that develops autologous cell therapies to treat chronic tendinosis, UV-damaged or aged skin, and pattern baldness. The cells in this technology are isolated from skin biopsies obtained from patients. However, because of limited available tissue samples, RepliCel seeks novel technologies to improve their cell culture process, which is currently time-consuming, labor-intensive, and low throughput.

Development of Smart Structural Control System for High-Rise Buildings Along the Coastline to cope with Extreme Loads

Civil infrastructures, particularly high-rise buildings, Along the Coastline are susceptible to damage when subjected to extreme loads like earthquakes, hurricanes, and tsunamis. These loads are associated with the tragic loss of life and high structural repair costs. Current research trends focus on developing design techniques to mitigate the adverse effects earthquakes have on structures. However, a major challenge with the current research trend is related to the high level of uncertainty in the actual response of structures during earthquakes (desired versus predicted response).

Germicidal Robotic Systems

Coronavirus is highly contagious. It can remain active and infectious on cardboard, fabric, and paper for up to 24 hours, on plastic, stainless steel, and countertops for up to three days. Decontamination, sterilization, and disinfection are standard procedures to prevent and reduce the spreads of COVID-19.

Applications of tensor neural networks to financial forecasting in incomplete markets

pre-agreed price. The problem of what an option is worth is usually solved using costly numerical simulation methods.
We will apply Deep Learning methods to solve the Option Pricing Problem. This cutting edge technique has the advantage that, once trained, the model can simulate many scenarios at a low computational cost. Unfortunately, training is costly and can be unstable.
Our original contribution is to use Tensor Networks to improve this Deep Learning model.

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