Deposition modeling, generalized process planning, and Design for Additive Manufacturing for fabrication of large scale and radial components by robotic large-scale additive manufacturing

Additive Manufacturing (AM), also known as 3D printing, uses computer-aided design to build objects layer by layer. AM enables complex designs with reduced component lead time, cost, material waste, energy usage and carbon footprint. Large scale robotic AM (> 1 m cubed) using wire arc welding is an emerging field offering scalability of AM to […]

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Développement d’un exosquelette pour les travailleurs de la construction afin de réduire les efforts au tronc et aux épaules

Les blessures ou lésions au travail constituent la 2e cause la plus importante d’invalidité au monde. Afin d’aider les travailleurs dans leurs tâches et réduire l’exposition aux blessures, l’utilisation d’exosquelettes est une avenue prometteuse. Il existe déjà plusieurs exosquelettes d’assistance pour la production automobile et les industries manufacturières, mais ceux-ci ne sont pas adaptés aux […]

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Advancing Strong-Scaling CFD Simulations on Manycore HPC Hardware

Science and engineering companies rely on powerful computers to simulate, in virtual space, the performance of new processes and products. The computer architectures of these systems are evolving to provide even faster virtual solutions with less energy requirements. This hardware evolution impacts software design and implementation of simulation tools such as Computational Fluid Dynamics (CFD). […]

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Développement d’un amortisseur de motoneige semi-actif ajustable à commande électromécanique

La nouvelle suspension des motoneiges Ski-Doo de l’entreprise Bombardier Produits Récréatifs (BRP), le R-motion, présente un amortisseur passif dimensionné pour un type spécifique de motoneige. L’objectif est maintenant de concevoir un amortisseur semi-actif couvrant la vaste plage de fonctionnement de trois amortisseurs KYB présents sur les modèles de motoneiges GSX, MXZ X et MXZ X-RS […]

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Développement d’un béton électriquement conducteur par utilisation des résidus de bauxite brutes ou transformés

L’objectif principal de ce projet consiste à développer une formulation de béton électriquement conducteur basé sur l’utilisation des résidus de bauxite calcinés. Les retombées de ce projet de recherche pour le Canada sont doubles puisqu’elles permettront, dans un premier temps, une valorisation de produits recyclés issus de la production d’aluminium canadienne, réduisant ainsi l’impact environnemental […]

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Optimisation du processus de classification des initiatives 4.0

L’émergence de l’Industrie 4.0 amène les chefs d’entreprise à remettre en question leurs modèles d’affaires et à envisager de quelle façon ces technologies peuvent se combiner pour transformer les produits, les processus et les services offerts. Cette transformation numérique amène inévitablement les entreprises à identifier les fournisseurs de ces technologies et les experts qui peuvent […]

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Optimal and heuristic optimization methods for large-scale naval refit operations

This project deals with the development of new mathematical models and solution methods to optimize naval surface ship refit operations. The Naval Surface Ship Work Period Problem (NSWPP) is a highly complex resource-constrained project scheduling problem (RCPSP) with many work orders that are equivalent to small projects. Planning, scheduling, and executing NSWPPs are very challenging, […]

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Yield optimization of an agrifood production process using AI tools and Industry 4.0 technologies

Food manufacturers experience significant waste when transforming raw materials into refined finished products. In the food processing industries, a single line can have 50% or more of raw materials loss while simultaneously producing varying degrees of quality simply because processing equipment is not optimally configured to the characteristics of the suppliers’ raw materials. Worximity proposes […]

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Technologies for Improved Sustainability of Long-Life Flexible Pavements

A sustainable pavement is one that is safe, smooth, efficient, economic, and environment friendly, meeting the needs of present-day users without comprising those of future generations. Sustainable flexible (asphalt) pavements, in particular, are those that minimize environmental impacts through the reduction of fuel and energy-based materials (asphalt cement, for example) consumption, more effective use of […]

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Described Video and Language Detection on Audio-tracks Using Machine Learning

Bell Media receives content from different providers, including content it produces in-house. There are standards for tagging audio tracks with metadata however many facilities (including Bell) do not adhere to these standards. Currently Bell uses a manual approach to classify unlabeled audio tracks, which is inefficient, and time consuming for massive digital media that Bell […]

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Towards a lab-on-a-chip-based rapid-screening system for pathogens

In light of the recent outbreak of Covid-19, it is urgent to find a solution for quick and efficient pathogen detection and elimination. Rapid point-of-need diagnostic tests and monitoring devices are urgently required in order to provide testing and care to those infected. Currently, testing is performed at centralized facilities using specialized equipment for molecular-based […]

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