The performance and stability of flexible mechanical structures in fluid flow can be improved by imposing bending-torsion coupling. In these structures, a bending deformation induces a torsional deformation which can be beneficial for the performance and stability. For instance, flexible wings can be tailored in such a way to have large deformations and twist passively to decrease the angle of attack and the structural loading.
The proposed MITACS internship project is an extension of an existing research collaboration in advanced aerodynamic flow control concepts with electro-fluidic actuators between École Polytechnique de Montréal (Polytechnique) and the Indian Institute of Technology Kanpur (IIT-K). The former party is responsible for wind tunnel experiments and the latter party for advanced flow simulations with a world-leading DNS CFD code.
Envenio is a Canadian company that specializes in advanced analysis of fluid dynamics and fluid structure interaction in the technological and environment settings. Envenio is also a software development company that owns an advanced Computational Fluid Dynamics solver, EXN/Aero, that uses many core technology in the parallel computation of unsteady and fully turbulent flows. Envenio seeks experimental data to validate their unsteady separation codes. To this end, an intern in Dr.
Obstructive sleep apnea (OSA) is a common disorder affecting 6% of the adult population and increases risk of cardiovascular mortality. OSA occurs due to repeated full or partial collapse of the upper airway during sleep. One contributor to airway collapse during sleep is the overnight shift of fluid from the legs towards the neck where it accumulates. Increased daytime fluid accumulation in the legs magnifies this, resulting in more fluid accumulation in the neck and increased OSA severity.
In recent years, machining with robots has become a trend in the manufacturing industry. The concept offers an economical solution for medium to low accuracy machining applications. However, due to the complexity of the robot kinematics, planning for these paths is challenging. Jabez Technologies has developed a semi-graphical approach that can program large robot-paths. This approach has been very well received by the industry and has proven to be extremely robust in practice. However, this approach is semi-automatic and cannot work without user input.
Most current propulsion and ventilation systems still suffer from poor efficiency, noise issues and too high emission levels. Little efficiency gain could yield significant reduction of energy waste, noise pollution, gas consumption and pollutant emission. Moreover a lot of the large rotating facilities do not meet their target performances and suffer from early degradation and fatigue issues causing some significant cost increase and losses to the companies producing them.
The proposed project studies the noise sources of airplane high-lift devices (HLD) that are responsible for most of the aircraft noise at approach. The latter in turn creates noise nuisances that create health issues to populations close to large urban airports. Two approaches are followed. A state-of-the art simulation that predicts most of the turbulent structures that generate the HLD noise will be performed and will serve as a reference to the development of analytical models of the HLD noise that will be integrated in a unique software by the partner.
The objective of this project is to improve the quality of the hard-to-reach areas of the hydraulic turbine blades using abrasive waterjet polishing method. By this way, the energy lost caused by parietal friction between the turbine blades and the flow will be decreased and consequently the efficiency of the turbine will be improved. Previously, the polishing process of some parts of the turbines was performed manually which caused uneven finished surface and poor quality in some areas. With this method, through a uniform polishing strategy, the desired surface quality can be achieved.
Electric vehicles (EVs) are considered as next-generation automotive for green and sustainable transportation. Lithium-ion batteries (LIBs) are the most promising energy storage system for EVs among different available techniques. However, in order to power EVs on the road, currently commercial LIBs need to be greatly improved in terms of performance, safety, and cost, which are mainly dependent on the electrode materials.
The state-of-the-art of building energy management systems uses model predictive control to compare alternative control strategies prior to implementation. Climate conditions dramatically influence the control strategy selection. These rely on conventional climate forecasting that provides coarse resolution with respect to both time and space (e.g. 1 hour, 50 km). The industrial partner Green Power Labs Inc. (GPLI) and Dalhousie University propose to use high-resolution climate forecasting at the sub-hourly and building level resolution (e.g.