Dans un cadre éducatif, les procédés industriels sont rarement accessibles pour effectuer tests. Le recours à des outils de simulation de modèles dynamiques de ces procédés est souvent une solution pour permettre l’étude de ces procédés. Le réalisme de ces simulations est étroitement lié à la précision des modèles utilisés. Le présent projet vise à […]

The automotive industry is striving towards greater fuel efficiency, and one of the ways in which it is trying to achieve this is through light weighting. The use of aluminum alloys in engine blocks to reduce weight is part of the solution for better fuel efficiency. However, the automotive sector is always striving for innovation […]

This project will design an Apiary Management System to control and study environmental conditions that affect beehive health and honey production. Several efforts will be undertaken in developing this intelligent hive concept. In-hive environmental sensors will be implemented and thermal backplane will be developed to regulate the temperature within the hive. Sensors will be installed […]

The aim of this project is to develop an accurate numerical method of predicting the performance of screw conveyors in which there is heat transfer to or from the material being transported. A detailed review of past studies in this area will be undertaken and based on this and on an understanding of the characteristics […]

The British Columbia Natural Gas Strategic Research Initiative (BC NGSRI) is a strategically targeted collaborative research network designed to tackle some of the most pressing challenges in the natural gas sector. A three-way government-industry-academic partnership connected through student interns will provide applicable tools and knowledge to effectively optimize resource use and mitigate risk throughout natural […]

The NASA-WFIRST space-based infrared telescope proposed to be launched in the 2023, will aim to answer two extremely important and outstanding questions related to our understanding of the Universe, namely the nature of Dark Energy, and the presence of other Earth-like planetary systems capable of hosting extraterrestrial life. During my MITACS-Accelerate internship, I will tap […]

The Block Caving method is emerging as a significant future underground mining method (e.g. New Afton Mine, BC; Oyu Tolgoi Mine, Mongolia), becoming more popular in massive underground ore bodies. The design and planning for developing such complex underground excavation systems is challenging both technically and managerially. This research study aims to apply emerging simulation […]

The project focuses on the development of SCRC mixtures using concrete materials available in Newfoundland. The developed SCRC mixtures can be successfully used by concrete suppliers in Newfoundland, especially for the construction of marine and offshore structures, which are exposed to ice abrasion and impact loading from ships, waves, and icebergs. In addition, this kind […]

The most common solution to pectus carinatum is surgical. As braces begin to be developed that have been seen to reshape the chest successfully it becomes important to understand the effectiveness and optimal design thereof.Braceworks, has managed to create a low profile prototype brace which contains a protocol on how long to wear the device. […]

Biomass combustion, which is a growing business, is used to generate heat and power. It is a very attractive system because it provides energy at cheaper price compared to oil and gas fuels and also emits fewer pollutants into the atmosphere. As the name implies, the combustion system is fired using renewable fuels such as […]

The present research partnership between Hydrogen In Motion and Simon Fraser University will develop a revolutionary, conformable hydrogen storage tank solution for fuel cell electric vehicles. The specific objective of the proposed Mitacs Accelerate Extension phase is to design, construct, and calibrate a specialized Sievert-type apparatus for measurement of hydrogen sorption and desorption properties of […]

Cloud-based predictive analytics service allows businesses to improve their performance with a minimal investment in infrastructure. Moreover, it enables collaboration and simplifies decision making. However, there are technical obstacles that prevent the large-scale deployment of such service to support millions of users. In fact, a cloud analytics platform runs on a distributed clustercomputing system. Hence, […]