The precise mass measurement of exotic nuclei is of special significance to the understanding of the nuclear shell structure and paving the way to shed light on how the heavy elements in universe were made from iron. A Multiple-Reflection Time-Of-Flight Mass Spectrometry has been developed at the Justus Liebig University Giessen in Germany and installed […]

Inspections are carried out on machinery equipment to evaluate the equipment condition and to take necessary maintenance actions to prevent failures. Hinton Pulp, a Division of West Fraser mills have a 30-day inspection interval for vibration inspections on rotating assets. The fixed inspection interval adopted by the Hinton Pulp for vibration inspections are not effective […]

Galium Nitride (GaN) technology compared to the conventional silicon and silicon carbide technologies gives better switching performance in terms of switching losses and switching speed. Also, since GaN Fets do not have intrinsic body diode as in Si and SiC based switching MOSFETS, they can work at much higher frequencies in room temperature, leading to […]

Real-time prediction of incoming turbulence has important practical utility in the control and monitoring of fluid systems. Flow estimation using smart sensing techniques will improve our ability to predict and control these flows. However, current sensor-based flow reconstruction methods have not been tested to effectively resolve multi-scale, chaotic and unsteady turbulent phenomena that are commonly […]

ConocoPhillips Canada (CPC) is evaluating transformational technologies to reduce GHGs by up to 90% allowing for efficient Alberta resource development on a per barrel and supply cost basis in a carbon-constrained, globally competitive market. Warm applied solvent process refers to pre-heated solvents that are injected/co-injected with steam as an elimination/evolution of the current Steam Assisted […]

CubeSat NB is a first?of?its?kind partnership among the New Brunswick Community College (NBCC), the Université de Moncton (UdeM), and the University of New Brunswick (UNB) as we jointly develop New Brunswick’s first satellite, named VIOLET after our provincial flower. An undergraduate computer science intern will work to improve software development for our ground station operation […]

The intern will be participating in a multifaceted and interdisciplinary project involving a case study on the current commercially avialable low emissions technologies and emerging renewable energy technologies. They will create social media marketing content to spur interest and careers in these sectors by attracting Canada’s brightest young innovators and entrepreneurs. Through partnership with the […]

Due to global trends changing from conventional vehicles(Gasoline) to electric vehicles. In electric vehicles every manufacture company want to reduce the mass of vehicles and my research is on Design Optimization of Helical Coil Suspension using ANSYS in this improving design of suspension system using advanced optimization techniques like response surface method and by using […]

The cost of musculoskeletal disorders in Canada overpasses the $25 billion dollars every year, this amount can be significantly reduced by proving good quality ergonomic assessments and training. The main reason that not all companies invest on ergonomic assessments and/or training is due to the high costs that this entails. This project aims to reduce […]

Les turbines que l’on retrouve notamment dans les turboréacteurs sont soumises à de très grandes charges, dont de grandes vibrations. De plus, ces vibrations peuvent être amplifiées si de trop grandes imperfections sont présentes pour une turbine donnée. Il faut donc bien détecter ces imperfections pour déterminer si une turbine est sécuritaire avant de l’inclure […]

Part distortion and residual stress development are two major issues that hinder the industry’s application of the Laser Powder Bed Fusion (LPBF) process. This research will study the formation of residual stress and the distribution of stress fields during the LPBF process using finite element method (FEM) modeling. A sequentially coupled thermo-mechanical FEM model will […]

This project aims to provide a framework to quantify the interactivity between human drivers in traffic, which could be used to design the decision-making policy for socially-compatible autonomous vehicles. Toward this end, we develop a conditional behavior prediction module based on Gaussian mixture models to jointly capture the dependency of one agent’s reactions on the […]