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

Optimization of the stem/gate connection of industrial valves– experimentation and modeling

Velan Inc. in Montreal, Quebec is one of the world leaders in design and manufacturing of industrial steel valves for applications in chemical, oil and gas, military, mining, and nuclear industries. Velan wishes to optimize its valve design in terms of maximum strength and minimum weight according to latest standard requirements. To achieve that, its existing analytical and finite element method (FEM) models should be improved by taking into account large deformation and contact analysis to accurately predict the failure point of stem and gate. The results of improved models will be validated by a series of destructive pull testing on an in-house test setup and the best-practice models will be recognized in a design loop. The efficiency of new developed models will be evaluated by design and testing of a new optimized stem/gate connection. The successful conclusion of this project will provide Velan with an improved understanding of failure mechanisms of its products. Furthermore, the developed state-of-the-art models will enable Velan to redesign a broader spectrum of the valves and prevent time consuming and expensive destructive testing.

Voir la description complète du projet
Superviseur du corps professoral :

Daniel Therriault;Martin Levesque

Étudiant :

Partenaire :

Velan Inc

Discipline :

Engineering

Secteur :

Manufacturing

Université :

École Polytechnique de Montréal

Programme :

Accelerate

Methods to assess botanical extracts for potential plant growth stimulating or pest growth inhibiting action on crops

Botanical extracts with the potential to stimulate crop plant growth or performance must be rigorous tested as part of new product development. Similarly, botanical extracts that control microbial growth on plant tissues (including plant pathogenic fungi, bacteria, nematodes, etc.) or that control insect or arachnid pests on plants (aphids, whiteflies, mealybugs, mites, etc.) must be tested for unintended toxicity or inhibitory growth effects on plants. This project will develop standardized operating procedures (SOPs) to evaluate the effects of new botanical extracts on crop plant seed germination and early growth and to control microbial (fungal) issues on 3 major species grown in greenhouses (tomato, cucumber, bell pepper). SOPs will then be used towards discovery of herbal recipes with potential plant growth stimulating or pest growth inhibiting action. This will provide the partner company with detailed procedures to use for testing botanicals and assist with future project submissions to the Canadian Pesticide Risk Reduction Program.

Voir la description complète du projet
Superviseur du corps professoral :

Danielle Donnelly

Étudiant :

Partenaire :

Mondias Naturals

Discipline :

Life Sciences

Secteur :

Agriculture and Food; Life Sciences (not health); Health and Related Sciences & Technology

Université :

McGill University

Programme :

Accelerate

Risk Alive Analytics

The primary functions of the Risk Alive Analytics tool are to predict risk and time to unsafe days and predict the occurrence of hazardous events (incidents with the potential to cause injury to personnel, damage to the environment, or financial loss) at given processing facility(s) and in addition develop a Risk Profile of a facility under study, and benchmark it to other facilities and similar equipment and processes. ACM has gathered a large amount of process hazards and risk analyses (for example, Hazard and Operability Studies) and data on Oil & Gas facilities and pipeline operations. One of the fundamental tasks of this project is to use data mining and data conditioning techniques to structure risk related data sets and to apply statistical analytical techniques mining in order to identify trends that will allow the development of a model to predict the probability of future adverse events.

Voir la description complète du projet
Superviseur du corps professoral :

Jon Rokne;Reda Alhajj

Étudiant :

Partenaire :

ACM Facility Safety

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

University of Calgary

Programme :

Accelerate

Modern tools for selecting disease-resistance traits in honey bees

Over the past six and a half years we have developed a way to measure disease resistance in honey bees using a molecular diagnostic approach, similar to the tests done every day in hospital laboratories. We have then used this method to selectively breed bees that are, indeed, more resistant to disease. This is akin to the selective breeding humans have practiced for millennia on all our agricultural crops and livestock, only using modern tools. It is not genetically modifying bees. Now that we have shown this works under controlled conditions, this project will work with BC-based bee breeders to implement this approach to selective breeding in their own operations. The result will be bees that are more naturally resistant to diseases and pests, including the varroa mite, the most important cause of bee die-offs world-wide. This will ultimately help to make beekeeping in BC and Canada more profitable, provide more bees for critical pollination activities and generally reduce the use of chemicals in the hive.

Voir la description complète du projet
Superviseur du corps professoral :

Leonard Foster

Étudiant :

Partenaire :

Canadian Honey Council

Discipline :

Engineering

Secteur :

Agriculture

Université :

The University of British Columbia

Programme :

Accelerate

A Sequential Model to Recognize Depression Acuity Using Social Media and Physical Activity

Over 350 million people worldwide suffer from depression. A key part in diagnosing depression is screening questionnaires, which rely on patient self-reports of the recent past. With the advent of social media and wearable devices, there is an opportunity for a novel approach to detecting when a patient diagnosed with chronic depression becomes acute. In this project, we use social media data and physical activity data to detect depression acuity. Social media is indicative of an individual’s mental state. Physical activity is an indicator of physical wellness. Our aim is to use machine learning to uncover patterns within and among these two diverse data sources to build a sequential model to identify depression acuity more accurately and sooner than existing screening questionnaires. Dapasoft benefits from this project since it is complementary to their products for handling electronic health records.

Voir la description complète du projet
Superviseur du corps professoral :

Rhonda McEwen

Étudiant :

Partenaire :

Dapasoft Inc;University of Toronto Mississauga

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

University of Toronto Mississauga

Programme :

Elevate

Development of Graphene Modified Cathode for Next Generation Aqueous Rechargeable Lithium Batteries – Year 2

Aqueous rechargeable lithium battery has received great attention recently due to the less toxicity, lower cost and higher safety compared to the non-aqueous systems. When using the commercially available lithium manganese oxide as active materials, there are demands in suppressing manganese dissolution and graphite consumption in the cathode. As a potential solution to achieve these goals, in this proposal, two dimensional graphene materials are integrated on the surface of the cathode, forming a hybrid cathode aqueous battery. Attributing to the unique physical and chemical properties of graphene, such rechargeable hybrid aqueous battery (ReHAB) is expected to show significantly improved electrochemical performance over traditional aqueous batteries, constituting a viable alternative to large scale energy storage application. The progress made by this research will be directly transferred to the industrial partner, POSITEC Group Canada, based in Toronto, to further optimize large-scale manufacturing and design start-stop energy suppliers in electric vehicles.

Voir la description complète du projet
Superviseur du corps professoral :

Pu Chen

Étudiant :

Partenaire :

Positec Canada Ltd;University of Waterloo

Discipline :

Engineering

Secteur :

Manufacturing; Professional, scientific and technical services

Université :

University of Waterloo

Programme :

Elevate

Development of Graphene Modified Cathode for Next Generation Aqueous Rechargeable Lithium Batteries

Aqueous rechargeable lithium battery has received great attention recently due to the less toxicity, lower cost and higher safety compared to the non-aqueous systems. When using the commercially available lithium manganese oxide as active materials, there are demands in suppressing manganese dissolution and graphite consumption in the cathode. As a potential solution to achieve these goals, in this proposal, two dimensional graphene materials are integrated on the surface of the cathode, forming a hybrid cathode aqueous battery. Attributing to the unique physical and chemical properties of graphene, such rechargeable hybrid aqueous battery (ReHAB) is expected to show significantly improved electrochemical performance over traditional aqueous batteries, constituting a viable alternative to large scale energy storage application. The progress made by this research will be directly transferred to the industrial partner, POSITEC Group Canada, based in Toronto, to further optimize large-scale manufacturing and design start-stop energy suppliers in electric vehicles.

Voir la description complète du projet
Superviseur du corps professoral :

Pu Chen

Étudiant :

Partenaire :

Positec Canada Ltd;University of Waterloo

Discipline :

Engineering

Secteur :

Manufacturing; Professional, scientific and technical services

Université :

University of Waterloo

Programme :

Elevate

Characterization of the colloidal properties of concentrated casein micelles and improvement of the functionality of concentrated milk products using membrane filtration – Year 2

Whey proteins in milk are detrimental to the rennet-induced coagulation of milk. In this project, we will use microfiltration membrane technique to concentrate the milk and to remove whey proteins. A process called diafiltration (DF) will also be used to further remove whey proteins by adding water to the MF concentrated milk and then filtered. MF and MF-DF milk have different whey protein contents and ionic concentration, which will change the coagulation behaviour of milk. The objective of this project is to investigate the influence of MF and MF-DF milk on the textural and sensory properties of cheese products when they are used as ingredients. The project is expected to improve the yield and structure of current cheese products. Moreover, the company can increase its competitiveness by selling liquid concentrated milk as material compared to traditional milk powders.

Voir la description complète du projet
Superviseur du corps professoral :

Arthur Hill

Étudiant :

Partenaire :

Gay Lea Foods Co-Operative Ltd;University of Guelph

Discipline :

Physics

Secteur :

Manufacturing

Université :

University of Guelph

Programme :

Elevate

Characterization of the colloidal properties of concentrated casein micelles and improvement of the functionality of concentrated milk products using membrane filtration

The project aims at obtaining new ingredients from concentrated milk, and understanding how changes in their physical and chemical properties may affect their functionality. Membrane filtration processes are widespread in the dairy industry and they are all based on physical separation of the components because of their size. During these processes, the protein particles in milk become concentrated and the physical properties and composition of the concentrates will change. We are proposing to study how such systems may be stabilized and used as ingredients in the dairy industry. This project will be carried out in partnership with Gay Lea Foods Co-Operative Ltd, the largest cooperative in Ontario, with more than 1200 farmers. In the project, we will study how to concentrate fresh milk and obtain ingredients easier to transport with tailored functionality. The design of liquid ingredients will allow Ontario to compete against powder imports.

Voir la description complète du projet
Superviseur du corps professoral :

Arthur Hill

Étudiant :

Partenaire :

Gay Lea Foods Co-Operative Ltd;University of Guelph

Discipline :

Physics

Secteur :

Manufacturing

Université :

University of Guelph

Programme :

Elevate

Reddit Community Analysis

People are social creatures and interacting with others is a fundamental human behavior. As people spend more time online, a larger part of their social life also become online. Online Forums such as Reddit have become very popular because of this. In this project, we want to define the what health means with regards to online forums – is it the quality of the comment, the average length of the comments, frequency of posts, number of users, the language of the posts or a combination of these. We also hope to determine which factors can affect the health of an online forum. Through this research, the partner organization hopes to gain better understanding on online community dynamics and do future investigation whether toxicity like cyberbullying, sexting and cyber threats play a major role in death of a community.

Voir la description complète du projet
Superviseur du corps professoral :

Fred Popowich

Étudiant :

Partenaire :

Two Hat Security Research Corp

Discipline :

Computer science

Secteur :

Information and cultural industries; Professional, scientific and technical services

Université :

Simon Fraser University

Programme :

Accelerate

Activity recognition using physical layer information from wireless communications infrastructure

Sensing technologies require the deployment and maintenance of complex and large infrastructures. This research proposal is focused on people’s activity recognition technologies though existing WiFi infrastructures. The information gathered by this technology can be applied to different industries like home automation, security, etc. In the future, this technology will powered applications in the home automation industry as the one described next. Mary comes home and leaves her cellphone on the couch. As the system recognizes her, no alarm is activated. Given the time of the day and her habits, the platform understands that she wants to prepare dinner. Cooking is a defined profile for her so the kitchen starts to react based on her presence and activity profile (turning on lights, changing temperature, turning on cooking music). If Mary wants to sleep, the system gathers the necessary information again and changes the whole environment. This project is bringing a new technology to the partner organization and the Canadian Industry.

Voir la description complète du projet
Superviseur du corps professoral :

Doina Precup

Étudiant :

Partenaire :

TandemLaunch Inc

Discipline :

Engineering

Secteur :

Finance and Insurance; Professional, scientific and technical services

Université :

McGill University

Programme :

Accelerate

Étude minéralogique et métallurgique du gisement d’or de la mine Kittilä dans le but d’augmenter le taux de la récupération de l’or réfractaire

Le projet proposé pour l’été 2016 est lié à une division d’Agnico Eagle en Finlande (la mine Kittilä). Le gisement est un minerai d’or autour de 4 g/t. Son exploitation devrait se poursuivre jusqu’en 2035, ce qui en fait la mine présentant la durée de vie la plus longue de l’entreprise. Ses réserves d’or prouvées et probables contiennent 4,4 millions d’onces (28 millions de tonnes titrant 4,80 g/t d’or). L’exploitation souterraine de la mine a démarré en 2010. L’objectif principal du projet et de proposer des options d’amélioration des performances de récupération de l’or via une étude minéralogique et métallurgique pour atteindre des taux de récupérations satisfaisants. Ce projet permettra de développer une expertise novatrice sur la récupération de l’or réfractaire dans les minerais carbonés associé aux arsénopyrites et pyrites riches en arseni

Voir la description complète du projet
Superviseur du corps professoral :

Benoit Plante;Mostafa Benzaazoua

Étudiant :

Partenaire :

Agnico Eagle Mines Limited

Discipline :

Engineering

Secteur :

Mining

Université :

Université du Québec en Abitibi-Témiscamingue

Programme :

Accelerate

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