Projets novateurs réalisés

Explorez des milliers de projets réussis issus de la collaboration entre organisations et talents postsecondaires.

30156 projets achevés

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Projets par catégorie

Testing the response of sand samples to cyclic loading under different boundary conditions

Local site conditions can strongly influence the amplitude and duration of ground motion during an earthquake. Therefore, it is necessary to analyze and understand the mechanical properties of soils. By testing the same samples with similar conditions in different devices we can obtain more accurate results for dynamic loading tests and imitate the stress history that a soil might experience. The preparatory work will include a series of tests that will be held at Ben Gurion University under the supervision of Dr. Ronnie Kamai, followed by a test-series on a different testing device, held at University of Toronto under the supervision of Dr. Mohsen Ghafghazi. Such comparison will allow us to develop a more comprehensive understanding and quantification of the soil’s response to dynamic excitation. The mechanical properties of the soil can then be used to describe the behavior the soil during earthquake loading. With these parameters it will be possible to create an analysis that is more proper and accurate to the local conditions in Israel, contrary to what we think exists in the local building code today.

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Superviseur du corps professoral :

Mohsen Ghafghazi

Étudiant :

Partenaire :

Ben-Gurion University of the Negev

Discipline :

Engineering

Secteur :

Education

Université :

University of Toronto

Programme :

Globalink Research Award

Modélisation avancée des cuves d’électrolyse et l’efficacité énergétique

Les travaux qui seront entrepris par les stagiaires entrent dans le cadre de la Chaire de recherche industrielle CRSNG-Alcoa « Modélisation avancée des cuves d’électrolyse et l’efficacité énergétique (MACE3) » et de la subvention de Recherche et développement coopérative (RDC) « Amélioration de l’efficacité énergétique de l’électrolyse d’aluminium par l’optimisation du procédé de fabrication d’anodes, phase II ». Ces travaux permettront de développer les connaissances et les techniques requises pour contribuer à améliorer la performance énergétique des cuves Hall-Héroult, afin de réduire la consommation d’énergie et l’émission de CO2. Le développement de l’expertise pour la modélisation et l’amélioration de cuves d’électrolyse nécessite ainsi le développement de modèles numériques de pointe, la maîtrise du comportement multi physiques des matériaux utilisés et l’augmentation du rendement énergétique des anodes de carbone.

Voir la description complète du projet
Superviseur du corps professoral :

Mario Fafard;Seyed Taghavi;Louis Gosselin;Houshang Alamdari;Mario Fafard

Étudiant :

Partenaire :

Alcoa Canada

Discipline :

Engineering

Secteur :

Manufacturing

Université :

Université Laval

Programme :

Accelerate

Thermo-economic assessment and experimental investigation of renewable energy based NH3 production options for clean energy communities

Production and utilization of ammonia in the transportation and power generation sector brings numerous advantages by introducing environmentally friendly, sustainable and efficient systems. Ammonia (NH3) is the only carbon-free chemical energy carrier together with hydrogen suitable for use as a transportation fuel. In this project, renewable energy based NH3 production methods are investigated for power generation, transportation and energy utilities. Specifically, concentrated solar energy based electrochemical ammonia synthesis is experimentally investigated. Furthermore, comparative thermodynamic, thermo-economic and life cycle analyses related to wind, hydro and solar energy based ammonia production and utilization are undertaken together with hydrocarbon decomposition based ammonia synthesis.

Voir la description complète du projet
Superviseur du corps professoral :

Ibrahim Dincer

Étudiant :

Partenaire :

Hydrofuel Inc.

Discipline :

Engineering

Secteur :

Green/Alternative Energy; Sustainability & the Environment; Transportation (excluding aerospace)

Université :

University of Ontario Institute of Technology

Programme :

Accelerate

Generation Z: Understanding Canada’s Newest Youth Generation

The differences among today’s multiple generations of workers, such as Baby Boomers, Generation X and Millennials have received a great amount of attention from the media, business best-sellers and academic researchers. Much of the recent existing research has documented perceived and observed characteristics of the millennial generation (those born in the 1908s and after), who are said to differ from preceding generations in their perspectives on work and life in general. There is little agreement on the end date of the millennial generation, raising speculation about the generation that follows them (tentatively referred to as “Generation Z”): When did this generation begin? How are they different from Millennials? How will they approach their careers and working lives?. This study will investigate trends in the characteristics, expectations, values, attitudes and behaviors of Canada’s youngest adults to determine if and how they differ from Millennials. This will establish generational trends for the future and an appropriate cut-off point between them and Millennials. The information we gather will help educators, employers and governments better understand and react to emerging generational trends.

Voir la description complète du projet
Superviseur du corps professoral :

Sean Lyons

Étudiant :

Partenaire :

Lovell Corporation

Discipline :

Business

Secteur :

Professional, scientific and technical services

Université :

University of Guelph

Programme :

Accelerate

External Cavity Laser Integrated with Silicon Photonic Systems

The project aims to develop a novel optical device for use in high-bandwidth data-communications. Such applications feed the insatiable desire for data transfer fuelled by the ever-expanding demand for social networking, video-over-internet and the emerging internet-of-things. The intern will gain invaluable industrial experience in a rapidly growing area, while the company will obtain an insight into the potential expansion of its product line into new applications.

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Superviseur du corps professoral :

Andrew Knights

Étudiant :

Partenaire :

RANOVUS Inc

Discipline :

Engineering

Secteur :

Manufacturing

Université :

McMaster University

Programme :

Accelerate

The use of assistive technology in school-aged children with learning disorders

Assistive Technology (AT) allows children with Specific Learning Disabilities (LDs) to adequately access school curriculum. There is a paucity of literature addressing perception of use and training for teachers to support use. Studies suggest that children with AT like their devices and find them useful. The proposed study will examine the ages of children provided AT devices, the types of AT hardware and software being used by children with various learning limitations in a school environment, and children’s perception of their AT devices. Archival data collected from school-aged children referred to the Learning Disability Association of Windsor-Essex County (LDAWE) will be statistically analyzed. The proposed research will increase the understanding of current practices of the distribution and utilization of AT.

Voir la description complète du projet
Superviseur du corps professoral :

Joseph Casey

Étudiant :

Partenaire :

Learning Disabilities Association of Windsor - Essex County

Discipline :

Sociology

Secteur :

Health and Related Sciences & Technology

Université :

University of Windsor

Programme :

Accelerate

Probabilistic Evaluation of Distribution Networks Containing Distributed Energy Sources, Energy Storage and Electric Vehicles

After introducing deregulated power markets and small scale distributed generation (DG) in power distribution systems, the probabilistic evaluation gained much attention to quantify the uncertainties due to parameters such as wind speed, solar irradiation, power market price etc. Meanwhile, due to increasing penetration of electric vehicles (EVs), the load demand due to EV charging has become very relevant information needed for power system planning studies. Thus this project aims to quantify those uncertainties associated with active elements
such as DGs, EVs, and storage devices for developing the most economic expansion and operational plans for a power distribution system. For that purpose, some new stochastic models will be developed for each of the aforementioned active elements for evaluating the power system reliability. To ensure the efficiency of the proposed methods and models a sensitivity analysis will be carried out.

Voir la description complète du projet
Superviseur du corps professoral :

Athula Rajapakse

Étudiant :

Partenaire :

Manitoba Hydro

Discipline :

Engineering

Secteur :

Professional, scientific and technical services; Utilities

Université :

University of Manitoba

Programme :

Accelerate

Evaluating Performance of Polymer Membranes for Fuel Cell Humidifier Applications

Hydrogen fuel cells require humidification in order to operate effectively, yet, at the same time produce a constant stream of moisture through their exhaust. Membrane fuel cell humidifiers provide a method of ‘recycling’ this moisture, thereby saving energy. They work similarly to heat exchangers, but take advantage of special polymer membranes in order to exchange moisture. Fuel cell environments can be very taxing on membranes, reaching temperatures of 95C, so selecting the right membrane material is of utmost importance. In this project, two test stations will be constructed to evaluate candidate membrane materials. The first will test for permeability to moisture under high temperature conditions. The second will create an accelerated aging environment, simulating the effects of extended use in the field. In conjunction, these two stations will be able to thoroughly evaluate candidate membrane materials for membrane-fuel cell humidifiers.

Voir la description complète du projet
Superviseur du corps professoral :

Steven Rogak;Sheldon Green

Étudiant :

Partenaire :

dPoint Technologies Inc

Discipline :

Engineering

Secteur :

Manufacturing; Professional, scientific and technical services

Université :

The University of British Columbia

Programme :

Accelerate

Assessing soil parameters using reflectance spectroscopy

The goal of the research undertaken as part of this project is to develop a system to measure soil properties in the field based on near infrared light reflectance. Using machine learning, the complex near infrared data can be turned into valuable soil analytical data. By supporting this research, Route 7 Inc. will obtain an innovative portable soil measurement system that will provide data on soil immediately in the field for much cheaper than currently used laboratory analytical testing. Using this system, Route 7 Inc. will be able to develop a faster, yet accurate and reproducible, soil testing method for hydrocarbon contamination, reducing the costs to remediate contaminated oil and gas facilities.

Voir la description complète du projet
Superviseur du corps professoral :

Sylvie Quideau

Étudiant :

Partenaire :

Route 7 Inc

Discipline :

Earth science

Secteur :

Professional, scientific and technical services

Université :

University of Alberta

Programme :

Accelerate

Evaluation and Identification of Gaps and Technical Challenges in Candidate Carbon Capture/CO2 Conversion Technologies

In the wake of the Paris meeting on global climate change in December of 2015 (COP21), commitments to drive down greenhouse gas emissions have escalated around the world. Man-made carbon dioxide (CO2) emissions are accepted as the largest contributor to climate change. Promising next-generation technologies for decreasing CO2 emissions are being investigated at the lab scale. Unfortunately, the technology developers often lack next-step projects and connections with industrial end-users to allow the technology to advance and become commercialized. CMC is committed to accelerating innovations associated with industrial greenhouse gas emissions. The overall approach is to focus on rapid and cost-effective reduction of uncertainties to enable earlier decision making. This project will focus on working with technology developers to identify critical limiting uncertainties and develop pathways to address them, including through integration, adaptation, application development, pilot testing, and scale-up projects.

Voir la description complète du projet
Superviseur du corps professoral :

George Shimizu

Étudiant :

Partenaire :

CMC Research Institutes Inc

Discipline :

Physics

Secteur :

Administrative and support, waste management and remediation services; Professional, scientific and technical services

Université :

University of Calgary

Programme :

Accelerate

Stochastic Modelling of One Time Programmable Memory Bit Cell

Programming of long-term digital memory storage devices is currently not an optimised process. This is due to the fact that the exact physical mechanisms that allow for a data bit to be reliably stored and read are not well understood. As a result, in order to produce high quality, long-lasting, reliable memory cells, the manufacturer must perform extensive testing and
iterative modifications on each generation of products. Our project aims to develop a software model that simulates the physics and chemistry of memory device structures on an atomic level. This tool will allow for product optimisation in early stages of the design process, and for circuit and system design to be performed with an understanding of the memory devices in mind. Product engineers and manufacturers will save time and money while improving the reliability and performance of both the memory devices and system being delivered to the customer.

Voir la description complète du projet
Superviseur du corps professoral :

Wai Tung Ng

Étudiant :

Partenaire :

Sidense Corp (Canada)

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

University of Toronto

Programme :

Accelerate

Development, application, and testing of an environmental fate model for assessing wastewater remediation capacity of treatment wetlands

The development of the oil sands has led to a large consumption of freshwater in Canada. The wastewater that is produced is contaminated with many industrial pollutants leading the provincial government of Alberta to issue a “zero-discharge” policy for untreated wastewater. This project will investigate treatment wetlands as an option for reclaiming oil sands-related wastewater. To investigate the efficiency of treatment wetlands to safely reclaim wastewater, a model that describes the behaviour of chemicals in a wetland environment will be developed, and tested against empirical data gathered from a pilot-study constructed wetland at the Imperial Oil Ltd. Kearl Lake site. The model’s performance will be evaluated, and novel approaches will be tested to calibrate the model with the real-world pilot wetland. The objective of this project is to build a tool that allows decision-makers to evaluate the feasibility of treatment wetlands based on site-specific conditions, chemical properties, and reclamation objectives.

Voir la description complète du projet
Superviseur du corps professoral :

Frank Gobas

Étudiant :

Partenaire :

Imperial Oil Resources Ltd

Discipline :

Engineering

Secteur :

Mining

Université :

Simon Fraser University

Programme :

Accelerate

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