Hybrid Bicomponent Fibres for 3D Printing

Hybrid bicomponent fibers are a novel type of intermediate material for the production of thermoplastic polymer composites with continuous fiber reinforcement. Such intermediate materials consist of reinforcing fibers which are individually coated with a thermoplastic polymer sheath. Upon the application of heat and pressure, these sheaths melt, join together and the remaining air between the […]

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Amélioration de la gestion des coûts avec le BIM 5D dans une entreprise intégrée verticalement

Ce projet de recherche est effectué chez le Groupe Dallaire en partenariat avec BIMOne, entreprise spécialisée dans le développement du BIM. Depuis quelques années, le Groupe Dallaire a entrepris l’intégration du BIM dans la gestion de ses projets. L’entreprise souhaite réaliser une transformation numérique rapide en interne, ce qui impose de rapidement mener des actions […]

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Development of a highly accurate machine learning algorithm constrained by well-log data and its application in Lithological classification

The drilling success rate is the most important goal for any oil/gas company. For a start-up company, any failure in drilling will be a disaster. To this end, the Petro-Lin Energy Corp. wishes that through the combination of mature hydrocarbon prediction techniques and new research results such as machine learning, the success rate of hydrocarbon […]

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Etude et optimisation des operations de mise en forme courbee de conduit

Le stagiaire devra ultiliser ses connaissances acquises dans le domaine des composites pour resoudre une problematique de l’entreprise FRE Composites (2005) inc. Celle-ci porte sur le pliage de leurs conduits de composites. La problematique et que lors pliage, il y a parfois creation de rupture du materiau et/ou de flambage local, et que le conduit […]

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Smart Work Zone Management

Construction zones are one of the leading contributors to Toronto’s ever-growing congestion. The aim of this study is to develop an integrated construction zone traffic management framework to minimize disruption of the traffic and reduce the effect in terms of congestion. This study leverages historical and real data collected from on-board construction trucks provided by […]

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Smart Work Zone Management – Year two

Construction zones are one of the leading contributors to Toronto’s ever-growing congestion. The aim of this study is to develop an integrated construction zone traffic management framework to minimize disruption of the traffic and reduce the effect in terms of congestion. This study leverages historical and real data collected from on-board construction trucks provided by […]

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Simeio: Anomaly Detection for Building Automation System

Buildings are an important energy consumer and are equipped with hundreds of sensors and control systems. The analysis of such massive data can reveal insights for building owners to optimize the building infrastructure. Currently, usage of such data is limited to traditional control systems, energy commissioning, and maintenance on a regular basis. Real-time monitoring and […]

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Simeio: Anomaly Detection for Building Automation System – Year two

Buildings are an important energy consumer and are equipped with hundreds of sensors and control systems. The analysis of such massive data can reveal insights for building owners to optimize the building infrastructure. Currently, usage of such data is limited to traditional control systems, energy commissioning, and maintenance on a regular basis. Real-time monitoring and […]

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