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.

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.

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.

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.

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.

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.

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+.

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.

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.

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.