The project will determine sliding wear behaviour of lightweight Al and Mg alloys for the continuously variable transmission (CVT) bore application and other engine applications. High temperature lubricated wear tests that simulate the actual operating conditions of CVT bore will be carried out. In addition, tests will be conducted at room temperature and under the dry conditions to benchmark wear resistances of different cast alloys and determine the wear mechanisms.
We will analyze long-term monitoring data that were sampled over ten years from nearshore regions of the Great Lakes to find out key factors that cause the proliferation of nuisance benthic algae and fouling of shorelines of Lake Ontario in the Toronto–Durham region and throughout the Great Lakes. Additionally, we will test whether environmental DNA in water and sediment samples can be used to track the dispersal of nuisance benthic algae. Our project will contribute directly to the ongoing monitoring programs in the Great Lakes and will be relevant for management of nuisance benthic algae.
Natural extracts have potential as anti-cancer therapeutics. These botanical materials are well tolerated and are safe to be given as supplements over long periods of time. This project aims to provide scientific and clinical validation of these extracts for their anticancer effects and sensitization of cancer cells to standard chemo regiments.
Over 70% of tasks in manufacturing are still manual; therefore, over 75% of variation in manufacturing comes from human beings. Human errors were the major driver behind $22.1 billion in vehicle recalls in 2016. Currently, when plant operators want to gain an understanding of their manual processes, they send out their highly-paid industrial engineers to run time studies. These studies produce highly biased and inaccurate data that provides minimal value to manufacturing teams.
It is critical that on-board power electronic components of electric vehicle inverters operate within optimal temperature ranges. Failure to accomplish this results in overheating, oversizing and degradation of electronic components. Moreover, reduced efficiency and motor drive performance will have significant economical impacts on global automakers. This research will further contribute to developing a new thermal management system incorporating impinging-jet-based technology with liquid cooling, for improved heat transfer capabilities; a current prototype had been tested.
Coming into force in October 2019, amendments to the Canadian Cannabis Regulations will introduce guidelines governing the legal production and sale of cannabis-infused extracts, edibles, beverages and topicals. These new products are at the forefront of the natural health product (NHP) and consumer packaged goods (CPG) industries, but challenges associated with their formulation, production and stability are quickly mounting.
This Mitacs project will develop and determine the structural performance of a novel bridge construction method using precast girders and precast deck slabs made of ultra high-strength and durable concrete. Full-scale tests and computer simulations will be conducted to accomplish the goal of this project. The test data obtained from this study will be analysed to determine the performance and suitability of this beam girder for its use in large-span vehicular road bridges.
The structural health and performance of existing infrastructure in Canada has a large impact on the Canadian economy and hence, it is imperative that this infrastructure is kept in good operational conditions. A significant portion of this infrastructure was built during the post world war period, which suggests much of this infrastructure has surpassed their service life. Additionally, Canada’s extreme cold weather conditions give rise to adverse loading conditions such as freeze and thaw cycles, which further leads to damage and making this infrastructure more susceptible to failure.
Rapid development of micro-fabrication technology, once considered exclusively for aerospace navigation, is now regarded for a wide range of applications, including autonomous vehicle navigation, underwater and industrial applications. Microelectromechanical systems (MEMS)-based gyroscope employs a resonating mass (resonator) to detect changes in motion, which is the central element of the gyroscope. MEMS resonator energy loss is the primary barrier towards achieving navigation-grade precision, so predicting resonators’ vibration characteristics is critical for minimizing energy loss.