Développement d’un outil d’aide à la décision basé sur des données industrielles pour l’amélioration du rendement de production de fromage frais

Kraft Heinz Canada est la filiale canadienne de la société Kraft Heinz. L’usine située au cœur de l’île de Montréal fabrique une grande variété de produits de la marque (beurre, fromage, produits laitiers secs, concentrés, etc.). Contrairement aux autres filiales du groupe, basé sur une production univariée, la pluralité du mix produit de l’usine montréalaise […]

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Caractérisation d’un système terahertz d’imagerie multispectrale

L’imagerie THz multispectrale est une technologie prometteuse qui peut révolutionner le contrôle de la qualité dans des secteurs tels que l’aérospatiale et l’alimentation. Cette technique d’imagerie utilise le rayonnement térahertz pour créer des images détaillées d’objets, qui peuvent être utilisées pour détecter des défauts cachés et des contaminants qui ne sont pas visibles à l’œil […]

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Mesure du comportement en fatigue de métaux d’apport de haute résistance pour la réparation in-situ de fissures sur les roues de turbines hydrauliques

Les roues de turbines hydrauliques au nombre de 350 dans le parc de production d’Hydro-Québec fournissent la quasi-totalité de la puissance électrique disponible au Québec. Elles sont donc des composantes stratégiques. l Conçues pour une vie utile de 70 ans, elles dépassent rarement le cap des 15 ans sans subir à répétition des réparations suite […]

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Design improvement of novel textile garment technology

In this project, we focus on a composite wearable system that combines a kirigami pattern with fabrics with the goal of realizing a wearable garment that can morph and conform to human body parts. Preliminary results have shown challenges on the fronts of manufacturing and attainable performance, i.e. the integration of the textiles and the […]

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Machine learning aided accelerated design and characterization of automotive composites

The proposed research project involves developing machine learning models to predict the mechanical properties of polymer composites. The interns will collect and preprocess data from various sources including open-source databases and conducting extensive experimental tests, build artificial neural network (ANN) models using advanced algorithms, and validate the accuracy of these models using test data. The […]

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Generation of a remote sensing methodology for the identification and variable chemical control of weeds with ground equipment in sugarcane

The proposed project intends to generate a method for identifying weeds and develop site-specific weed control prescriptions for sugarcane cultivations in Costa Rica using Remote Sensing techniques. Remotely sensed data will be captured using multispectral camera and LiDAR sensors attached to Remotely Piloted Aircraft Systems (RPAS). Images will be processed using machine learning algorithms to […]

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Large-scale turbulent/turbulent entrainment of mass and momentum in planar wakes

Turbulent entrainment denotes the spatio-temporal process by which turbulent flows expand by incorporating ambient fluid into the primary turbulent flow, e.g., the growth of a volcanic plume with distance from the crater or growth of a jet of pollutants being discharged into the atmosphere or hydrosphere. This research aims to investigate the effects of free-stream […]

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Modélisation technico-économique électrique et hydrogène pancanadienne

De plus en plus de stratégies nationales de développement hydrogène voient le jour, et dans ce cadre, Artelys participe à un projet de recherche porté par un consortium international dont il fait partie « Hydrogen and Climate Partnership » (H2CLIP). Le projet vise à modéliser et étudier le future de l’économie de l’hydrogène, et plus […]

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Characterization and Improvement of Interfacial Properties of Cathode Materials forRechargeable Hybrid Aqueous Batteries Year Two

A new aqueous rechargeable battery combining an intercalation cathode with a metal anode has been developed recently. The energy density for a prototype battery is comparable or superior to commercial 2 V rechargeable batteries. There is a need to further improve the cycle performance and to reduce self-discharge effects of this battery. In this proposed […]

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Development of an system for in-flight system identification of fixed-wing UAV.

Small unmanned aerial vehicles are increasingly being used in a wide range of surveillance applications, such as wildlife or crop monitoring. A key limitation restricting broader application is their limited endurance. This project deals with the determination of the flight characteristics of small unmanned aerial vehicles used for aerial observation. A better understanding of those […]

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Deep-learning cross-modality super-resolution imaging of the cellular network in bone

Many organisms, such as bone, depend on fluid-filled network structures for cellular transport, signaling and mechanosensing. Bone is made of a network called the lacunocanalicular network (LCN), which consists of lacunae that house osteocyte cells connected together by a network of 300-nm wide canals called canaliculi. An understanding of this vast network is incredibly important […]

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