Coupled thermal-electrochemical modelling and characterization of novel lithium-ion cell architectures for electric vehicle batteries

Significant advances in lithium-ion batteries (LIBs) are driving the automotive industry’s transition to electrification. Canada’s expansive ecosystem of leading automakers, part manufacturers, research institutions, and skilled workforce are collectively well-positioned to further advance LIB technologies and overcome critical barriers that continue impacting electric vehicle (EV) adoption, including vehicle driving range, and battery lifespan and safety. […]

Read More
Ecology and stability of sourdough fermentation for pasta production

In the last decades, Kaslo Sourdough Inc. has developed a sourdough propagation scheme for baking and pasta making. This sourdough differs fundamentally from other sourdoughs for which literature data is available in two aspects. First, the sourdough is used for production of bread and pasta. Only limited information is available on the impact of sourdough […]

Read More
Electron beam welding of refractory metals: improving niobium process window with fast beam deflection

Niobium (Nb) has properties that make it very attractive for high performance applications in space (e.g. rocket engines) and on earth (superconducting cavities used in particle accelerators), yet it also creates some particular challenges for the successful manufacturing of parts from it. The material is difficult to form into the complex shapes required for application. […]

Read More
Universal Wireless Charger

The proposed project consists of creating a universal charging solution for different EV brands. Through this project, we test and evaluate several designs of our transmitter and receiver coil to achieve a wireless charging solution that provides flexibility for different types and brands of batteries and EVs. As a result of this project we identify […]

Read More
Development of Twin Slice TRASE MRI

A new Magnetic Resonance Imager (MRI) design, Twin Slice TRASE MRI, will be verified. The new MRI design is suitable for use in space, on the Moon and in the Canadian north where the operating environments are extremely rugged and demanding. The design will be verified by modifying a basic TRASE MRI ankle-size prototype that […]

Read More
Fluid erosion and dynamic fatigue characteristics of high-pressure cold sprayed aerospace gas turbine engines

The proposed 3-year project aims to improve the erosion and dynamic fatigue performance of aircraft engine components, primarily the fan blades, through a two-stage material design and advanced manufacturing solution strategy. The work’s innovation lies in the design/development of 1) TiAl alloy substrate specific nanostructured ceramic-metallic (cermet) protective coatings (years 1, 2); and 2) a […]

Read More
Material characterization and innovative strategies for enhancing the performance of autonomous vehicle sensors in adverse weather

Autonomous vehicles (AVs) will potentially revolutionize the transportation sector. The value proposition of AVs includes improved road safety, increased traffic efficiency, reduced number of accidents, and decreased emissions. AVs heavily rely on the input of various sensors (Optical, Radar, Lidar, etc.) to capture environmental and traffic data. Clear sensor vision under all vehicle operating conditions […]

Read More
Characterizing commercial off-the-shelf electronics components for space applications

Radiation effects in the space environment is of particular concern to electronics, often causing them to fail either due to ionization or from particles directly damaging components through collision. The goal of the project is to study the radiation effects of commercial off-the-shelf (COTS) components such as solid-state drives (SSDs) and digital-to-analog converters (DAC) to […]

Read More
Fault Diagnosis of Power Transformers Based on Sequence-to-Sequence Deep Learning Approaches

The current internship is an extension of an ongoing project (application ref. IT24703) which implies the advanced deep learning-based approaches to diagnose the simultaneous power transformers’ faults based on a time-series dataset. The power transformers were selected as the candidate assets in the previous project. They are pieces of essential equipment for electricity transmission and […]

Read More
Development of CFD model applied to fluidized beds for waste gasification

Gasification of wastes (either urban waste or residues from forest and agricultural operations) at large scale is a challenging operation because of the heterogeneity of the feedstock. Enerkem has addressed such challenge via its state-of-the art Bubbling Fluidized Bed (BFB) technology coupled with secondary Cracking and Reforming that results in high conversion of Carbon to […]

Read More