Development of Computational Fluid Dynamics Methodology to predict the two-phase flow in Aero-Engine Bearing Chamber

The primary role of the lubrication system of aero-engines is to remove the excess heat generated by the movement of the bearings, gears and shafts. As a part of the lubrication system, an aero-engine has bearing chambers whose principal function is containing oil and preventing oil leakages. Inside the bearing chamber is found a mixture of air-oil. The analysis of this air-oil mixture inside bearing chambers is of great interest to reduce the oil consumption, avoids oil leakages and overheating. The overheating of bearing chambers might be generated due to long oil residence time.

Development of rheological methods to investigate the viscoelastic behavior and stability of paints - Year two

Paints are complex colloidal suspensions that usually contain binders (resins), solvents, pigments and rheological modifiers. From production to applications, these raw materials should remain uniformly mixed and stable during pumping processes and storage, as well as after application with brushes, rollers, spray guns, etc. It is very important to know how the paint behaves under different deformation. Rheology is the study of the deformation and flow of matter.

Chlorine dioxide as antibiofilm of surfaces in the extraction process of maple sap

This project proposes to expand our investigation of chlorine dioxide (ClO2) as an antimicrobial agent in the maple sap extraction industry. It is well documented that ClO2 exhibits antibacterial, anti-fungal, disinfectant, air sterilization and antiviral properties.

Towards a P4-programmable high-performance 5G Access Gateway Function (AGF)

Next generation (5G) mobile networks address diverging requirements from different industry segments by sharing and isolating resources over the same physical infrastructure. This paradigm led to the objective of Fixed Mobile Convergence (FMC), an attempt to integrate fixed-line access to the 5G core system. The Access Gateway Function (AGF) is presently being considered as a mean to achieve FMC.

Développement d’un modèle multicorps pour la modélisation musculaire et l’estimation des forces musculaires individuelles au membre supérieur par intelligence artificielle

L'évaluation précise des forces musculaires lors des mouvements du membre supérieur est un besoin concret pour le développement d’exosquelettes, mais aussi pour une multitude d'application, comme l'analyse et l'amélioration des performances athlétiques, le suivi de patients atteints de pathologies musculo-squelettiques et le design ergonomique. L’objectif principal du projet de recherche proposé est le développement d’un algorithme d’estimation des forces musculaires au membre supérieur basé sur les plus récentes méthodes en intelligence artificielle.

L’intégration de l’évaluation de l’écosystème d’innovation et la prise de décision en entreprise : le cas du positionnement stratégique de Thalès Solution Numérique au Québec

Montréal veut être reconnu mondialement comme une ville dominante dans le domaine de l’intelligence artificielle (IA). De nombreuses entreprises en IA sont justement en train de s’implanter ou de se créer à Montréal. Dans ce contexte, Thalès et le CENTECH ont décidé de s’associer pour créer l’IA@CENTECH : un incubateur pour les Startups en IA à Montréal. L’objectif de cet incubateur est d’aider plus de 10 start-up en IA par an à se développer.

Novel process of organic peroxides synthesis

In this work, we will develop new processes, including new raw materials, to produce known organic peroxides; such processes will include direct coupling to manufacture organic peroxides. We will demonstrate the synthesis processes by selecting the appropriate carboxylic acid(s), hydroperoxide starting material(s), catalysts, and operating conditions to produce the desired organic peroxides, particularly, t-butyl peroxybenzoate and also extending to other peresters, such as, t-butyl peroxypivalate and t-butyl perox-2-ethylhexanoate.

Flight Data Risk Identification

In aviation, accidents are spectacular, well-publicized and can lead to dramatic consequences. Thanks to strategies that were first retroactive and then proactive, the players in the aviation industry have succeeded in greatly reducing the number of accidents and incidents (number of deaths per passenger-hour divided by 10 between 1996 and 2004).

Battery lifetime optimization for AI @ Edge devices

Optimizing energy consumption of Artificial Intelligence of Things (AIoT) devices is mandatory and challenging. Energy Harvesting (EH) from RF, solar, thermal, wind, and kinetic energy sources can be a good substitute for traditional batteries. EH is expected to have abundant applications in future AIoT and self-powered micro-systems such as wireless sensor networks and wearable devices. The combination of different sources of energy with harvesting capabilities is considered as a viable option to develop autonomous or AIoT devices with reduced dependency on batteries.

An FPGA-based platform for the control of a CMOS quantum chip

Quantum Computing has the potential to tackle problems, unsolvable with the most powerful current high-performance machines. It is expected that quantum technology will enable life-changing discovery in the pharmaceutical industry with new drugs, finance for risk minimization, discovering new materials, clean energy, and more. Today, many different architectural solutions exist for quantum computing - photonic, trapped ions, neutral atoms and others. Such solutions require specialized cooling systems, e.g. cryogenic, to keep the qubits in a quantum state.

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