In order to maintain safe and efficient operations, railway systems periodically use large, special purpose, trackbound grinding machines to re-establish the desired profiles of rails, and to remove surface damage that has occurred under operating conditions. The accuracy of the grinding process is typically measured using quality indices to compare the resulting rail profile to its target shape.
Productique has a production application utilizing a die and mold heat exchanger to cool the fabricated parts. By optimizing the cooling channels in the heat exchanger, the cycle time between successive parts will be reduced. The optimization will be composed of a combination of numerical modelling and experimental results. The data gathered from the experiments will be used to validate the numerical model and insure that it is an accurate reflection of reality.
Hydrogen is a promising vehicle fuel that emits no greenhouse gases at the end use and can be produced from avariety of renewable and low-carbon sources. However, to provide a useful vehicle range it has to be stored atvery high pressures, with maximum pressures as much as 800 times atmospheric pressure. Fuel stations that candeliver this pressure use a lot of energy and require large, strong, and expensive equipment. This project willinvestigate a promising approach that will reduce both the energy required and the system size and cost for vehiclefueling with hydrogen.
Mining projects are capital-intense endeavors that require careful planning and analysis. Understanding the expected processing challenges of a mineral deposit can save millions of dollars throughout the life of a mine. This project aims to build a framework for representing knowledge about the processing characteristics of a mine so that it can be compared to a database of other mines around the world. Knowing that a mine in development has similar features to an existing mine allows engineers to learn from the success and failure of other projects and head off problems in advance.
Given the popularity of EVs, it can be foreseen that many retired EV battery packs will appear. Since the retired EV batteries still have 70%-80% capacity, reusing the retired EV batteries as the stationary energy storage becomes appealing. However, the management of the retired batteries is difficult. For example, the degradation mechanism of retired battery varies, and they are prone to overcharge or over-discharge.In this study, a smart battery management system for retired EV batteries will be developed.
The partner organization, C-CORE, conducts medium- and large-scale experiments on ice fracture. The goal is to estimate the mechanical loads involved in the interaction of icebergs and subsea cables/pipelines. While the ice fracture tests provide the most valuable data, numerical models may help estimate the loads at custom geometries and conditions the test apparatus cannot create. In some cases, numerical models can predict unexpected situations and guide future research.
Shortening the difference between where energy is generated and where it is being used, the need for heavy-duty transmission infrastructure could be avoided to reduce the amount of energy lost along the way and eliminate the impact of grid failure. The proposed project, a thermal microgrid, can connect alternative generation, renewable generation, rejected or waste heat, and storage to simultaneously provide optimized heating and cooling services. The integrated system can substantially reduce the carbon footprint by creating a sustainable energy sharing network for local communities.
Lytehorse has designed an electric, stand-up riding, all-terrain vehicle that is quiet and minimizes its ecological footprint. This sustainable and powerful mode of transportation has diverse applications attracting customers from military, recreational and other industrial fields. The team has already established a network to source parts, customize component manufacturing and is currently embarking on small scale production for assessing an optimal mode for assembly for scaled production operation to enter the market in 2022-23.
Developing new high performance steels using pilot scale facilities such as those available at CanmetMATERIALS laboratory in Hamilton is more efficient and cost effective than using industrial lines. However, some recent projects carried out for Stelco Inc revealed unexpected discrepancies between pilot scale results and real industrial data. The aim of this project is to identify the best strategies to minimize these discrepancies between the pilot scale and industrial processes so that our laboratory simulations more closely approach the final product in terms of structure and properties.
Project Deep Breathe seeks to develop computer vision solutions that will aid in the use of lung ultrasound technology to accurately and easily diagnose lung conditions anywhere these portable machines can be brought. This will be done using large amount of lung ultrasound data at Western University and by employing artificial intelligence students from the University of Waterloo. The partnering organization – Alveolai Data Fuel – stands to benefit through possible commercialization of the resultant intellectual property from these research efforts.