An Intelligent Method for Bearing Anomaly Detection

Anomaly detection of machinery is a crucial aspect of predictive maintenance. It involves monitoring specific parameters related to the machinery’s condition to identify significant changes that indicate a potential fault. Bearings, which are important components in rotary machinery, are responsible for over 40 percent of rotary machinery failures. Consequently, researchers have been focusing on detecting […]

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AI-powered Solutions for Complex Systems

AI tools based on deep learning has recently been suggested for many complex problems where a large amount of data is available. We will be working similar AI tools but problems from very different domains, namely, airport delay management after disruption and predicting prices of fresh produce under challenging climate conditions. Establishing a recovery flight […]

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Measuring the dark matter halo mass distribution with weak gravitational lensing using the Ultraviolet Near-Infrared Optical Northern Survey

In this project, the results from Ultraviolet Near-Infrared Optical Northern Survey will be used to model dark matter mass distribution around galaxies in the galactic cluster. Observing weak gravitational lensing of background galaxies from the optical multi-band survey and determining its parameters will help us to simulate dark matter halos around galaxies, that cause lensing, […]

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Vortex Identification Using Machine Learning

Many fluid flows are dominated by the dynamics of vortex formation and convection. Examples of practical importance include flows over aircraft wings/wind turbine blades and environmental flows. Knowledge of vortex parameters such as position, radius, circulation, and convective velocity are needed to understand and predict the influence of vortices on flow development. Although a vortex […]

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Development of purification for high-quality boron nitride nanotube liquid crystals

Boron nitride nanotube (BNNT), a structural analog of carbon nanotube, has emerged as a key-enabling material in various fields of extreme/major science thanks to its transformative properties such as high oxidation resistance, high specific mechanical strength, piezoelectricity, and high neutron shielding capability. To harness its unique properties, it is essential to fabricate macroscopic BNNT articles […]

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Avion sans pilote dans l’atmosphère martienne

Objectif: Conception préliminaire par analyse seulement d’un avion capable d’effectuer un vol propulsé et autonome dans l’atmosphère de Mars. Travail individuel sous supervision. – Préparation: conception d’un avion, atmosphère martienne, revue de la littérature scientifique – Liste des requis, mission typique, préparation du cahier des charges – Estimation du poids initial – Performance aérodynamique: charge […]

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Performance d’un fuselage intégré hybride en régime transsonique

En 2015, la NASA, Boeing et Pratt & Whitney ont entrepris des études expérimentales et numériques pour calculer les performances d’un fuselage intégré hybride (HWB), désigné N2A-EXTE 0009H1, pour tous les régimes de vol, dont celles en transsonique. Le but de ces études était de vérifier un concept d’intégration moteur avec cette cellule d’avion non-conventionnelle. […]

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Towards certification of a new green fan abradable material

The abradable rub strip (ARS) material’s main function is to minimize the clearance between blade tips and the fan case, thereby increasing the overall engine efficiency. Under tensile and compressive loading, the abradable material behaves different, and has a significant post-failure compaction under compressive loading. Therefore, its characterization is complex and requires a wide range […]

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Assessing Snow Properties’ Impact on Various Sensors with the Snow Microwave Radiative Transfer Model

Arctic Sea-ice extent is declining due to climate change. Wildlife, maritime operations and northern communities that depend on sea-ice for traveling and hunting are negatively affected by its decline. Monitoring sea-ice thickness is an important tool to help in decision making in Arctic regions but, due to the snow covering the sea-ice, remote sensing’s sea-ice […]

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Lobed Mixer and Inter-Turbine Duct Aerodynamics

The intern will assess computer-based simulation tools used by a leading Canadian aerospace organization to determine the accuracy of these tools. Specifically, the objective is to establish the extent to which these engineering tools can be used to capture the performance benefits of novel aerodynamic design strategies recently developed at Carleton University for aerodynamic shaping […]

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