The Wankel rotary engine has long been seen as a good engine for aeronautical application, but sealing problems is still a challenge that limits its utilisation. Minimizing oil consumption in rotary engine is essential to limit hydrocarbon emissions and minimize overall mass of the engine. Internal oil leaks from the crankcase to the combustion chamber represent about half the oil consumptions in rotary engines and thus represent the low hanging fruit to minimize oil consumptions. This project aims at improving oil sealing of the rotary engine to enable its use in aircraft applications.

With the goal of increasing the safety of civilian air flight, the detection of a decrease in pilot attention is becoming an important need in civilian aeronautics. Multiple models used for the detection of hypovigilant states have been developed over the years in experimental conditions, but barriers still exist limiting current use. First, some of these models require the execution of behavioral tasks that can disrupt pilot workflow. .Second, other models relying on the use of physiological monitoring devices are still too cumbersome.

This project is addressed to conduct a full detailed airflow analysis on a 7000XR, a level D full flight simulator. Such machine is equipped with advanced electronic systems such as avionics, flight instruments and collimated visual system, where generated heat affects the user thermal comfort during training. The objective of this study is to perform a full analysis of the airflow, so that the optimized airflow is estimated to overcome the above issues.

For decades, contact probes on coordinate measuring machine (CMM) have been widely used for data acquisition in coordinate metrology, mainly because of their high accuracy. However, the acquired data is a low-density set of points, because sampling using a contact probe is a slow process. Nowadays, optical 3D scanning technologies such as structured-light scanners or laser scanners are increasingly included in metrology applications for rapidly capturing high-density point clouds enabling holistic measurements of a manufactured part.

NonDestructive Testing (NDT) is a key discipline in major industrial sectors to ensure quality and safety. Several methods are regularly employed in areas ranging from x-ray or ultrasound testing of metallic or composite components in the automotive and aerospace industries, to the inspection of petrochemical ducts using eddy currents or acoustical emissions. The present proposal combines different NDT-related subjects under the oN DuTy!

Nowadays, we are witnessing a wide adoption of Machine learning (ML) models in many software systems. They are even being tested in safety-critical systems, thanks to recent breakthroughs in deep learning and reinforcement learning. Bombardier, a world leader company in the domain of aerospace have started integrating deep learning models in its products, systems and processes design used for certification and homologation. Although these ML models can reach high accuracy within their training data distributions, recent studies have shown that they can be very brittle.

Documentation is an integral part of any product development. Product and documentation should co-evolve; whenever the product is changed the documentation should be updated and vice versa. Yet, oftentimes, multiple documentation and product versions may exist; between and within the documentation of the product, relations and dependencies may or may not be explicit, documented, trustworthy or consistent. For example, dependencies may not be explicitly stated (or different terms may be used for the same concepts), obscure jargon and technical abbreviations may be used inconsistently.

Le projet, affilié au projet CRIAQ UAS MaSu mobilise deux PME canadiennes appuyées par deux universités spécialisées en génie, soit l’Université de Sherbrooke et l’École de technologie supérieure, afin de développer plusieurs concepts et technologies dans le domaine des drones maritime. Les partenaires feront la démonstration à la fin du projet d’un système sans pilote capable d’atterrir sur une plateforme en mouvement représentant le pont des navires.

Le projet de recherche se concentre sur l’étude de l’impact de l’oscillation du laser dans le procédé de soudage HLAW. En effet, l’utilisation de l’oscillation du faisceau laser dans les procédés de soudage laser ont montré des avantages en termes de qualité et de résistances mécaniques des soudures tout en maximisant l’écartement entre deux pièces en soudage laser.[9] Il est donc légitime de penser qu’un impact similaire sera observé dans le cadre du soudage hybride laser-arc.

La fabrication de pièces aérospatiales présente plusieurs défis importants, dont ceux du délai et du coût de réalisation. Dans le contexte économique d'aujourd'hui, `bien faire du premier coup` est impératif pour maintenir la compétitivité des entreprises. La recherche de l'efficience est alimentée par diverses opportunités provenant de technologies émergentes telles que l'assemblage par métrologie 3D, la fabrication additive (FA) et la fabrication hybride (FH) lesquelles proposent une multitude de possibilités ayant un potentiel significatif.