Full-Scale Testing of an E-Motor Cooling System

Automotive makers are facing increasing pressure to reduce greenhouse gas emissions and shift from the use of more conventional internal combustion engine vehicles to electric vehicles. Along with this shift comes a demand for on-board electronics that can operate at higher power densities, such as the electric motor. A less utilized, yet cheaper and more efficient e-motor type is a wound-field synchronous motor.

Embedded security markers in metal additive manufacturing parts and detection via high-frequency ultrasound systems

Metal additive manufacturing (AM) technologies are now frequently used in the aerospace, automotive, medical, and energy sectors for fabricating end-use components. The digital nature of the supply chain involved for metal AM production becomes increasingly susceptible to numerous types of cyber- and cyber-physical threats.

Process Automation of Thermal Material Processes

With this project a complete real time monitoring and control system for thermal material processes (TMP) will be developed to reduce inconsistencies during the process. TMP is a field of manufacturing where a concentrated energy source is used to fuse or change the properties of materials, welding and laser additive manufacturing are considered TMP. In TMP, the area where energy intersects the working materials is referred to as the heat affected zone (HAZ). New algorithms will be developed that uses a camera to measure the HAZ geometry and temperature in real-time.

Ryan Underwood Mitacs Elevate with General Fusion: Investigation of Novel Photon Detection Devices for Fusion Diagnostic Applications

General Fusion is pursuing a fast, efficient, and collaborative path to practical fusion power. Its vision is a world with clean, limitless energy, and General Fusion’s mission is to deliver it using its proprietary Magnetized Target Fusion technology. General Fusion is building a Fusion Demonstration Plant to prove this technology and will require numerous state-of-the-art fusion fuel measurement tools. TRIUMF has research experience in relevant electronics and measurement tools.

Process model to study temperature history dependent crystallization and fusion bonding kinetics during fused filament fabrication of highperformance, semi-crystalline thermoplastic-based composites

The material properties of thermoplastic polymer composite parts manufactured by the fused filament fabrication additive manufacturing process are highly dependent on the thermal history. A good understanding of the heat transfer in fused filament fabrication is crucial for an accurate stress prediction and subsequently for repetitive, high-quality printing. A numerical simulation to model the thermal history dependent crystallization and fusion bonding kinetics of a 3D-printed fiber reinforced semi-crystalline thermoplastic composite will be developed and experimentally validated.

Smart Garments to Correct Lower-Limb Mechanics in Runners

The overall goal of the project is to develop tools to correct people’s running movements using smart garments. The research method will employ an experimental testbed composed of a way to sense gait, a way to change the gait, and a computer program to provide the correction for non-optimal running patterns. The testbed data results will be translated to prototype garments in collaboration with our partner to design athletic wear composed of smart materials g.

Sn-based anode design for Na-ion batteries

Lithium-ion batteries (LIBs) have been widely used in our daily lives, and the boosting development of electric vehicles and electronic devices. Sodium metal shares similar physical and chemical properties as lithium, which makes the sodium ion batteries (SIBs) as a protentional alternative to LIBs. A major advantage of SIB is its large abundance and low cost of sodium which allows the SIBs to be applied to large-scale energy storage devices than LIBs. Currently, the major challenge in SIBs is to find anode materials that can host Na+.

Développement d’algorithmes et de solutions d'apprentissage machine pour l’optimisation de la réanimation cardio-respiratoire

Au Canada, en 2019, 35 000 patients ont subi un arrêt cardiaque.1 Pour la même année, Urgence Santé a dénombré 1900 arrêts cardiaques dans la grande région de Montréal (Montréal-Laval). Malgré les avancées technologiques récentes, le taux de survie est de 10% et seulement 8% des patients auront un état neurologique leur permettant de retourner à la maison.

Notre objectif est de développer, en collaboration avec nos partenaires publics et privés, un dispositif de gestion par intelligence artificielle de la réanimation cardio-respiratoire.

Genetically engineering moss protonema to produce antioxidants, with resveratrol synthesis as a case study

This project aims to genetically engineer moss to make an antioxidant called resveratrol. Resveratrol is a widely used ingredient in cosmetic formulations and nutritional supplements; however, currently, it is either synthesized from petrochemicals or extracted from plant sources in energy-intensive processes that require the use of harsh chemical solvents. Because moss tissue does not have the same thickened cell walls as other plant sources of resveratrol, extraction of antioxidants is much easier. Moreover, with genetic engineering, moss can make large amounts of resveratrol.

AI-enabled food waste differentiation for at-home compost nutrients estimation

The main goal of this project is to digitalize food waste at home for a sustainable future using at-home composters. We will develop dedicated machine learning algorithms to detect, segment, and classify various food waste generated in the kitchen, making it possible for everyone to immediately estimate the quality and nutrients of the generated compost using a simple mobile App. The project will collaborate with VCycene Inc., a cleantech company dedicated to providing sustainable solutions to the food-waste problem.