Full body suit for ergonomic risk assessment

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 […]

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Identification expérimentale et sans contact du mistuning de blisks par excitation acoustique

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 […]

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A study on additive manufacturing of a 304L stainless steel

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 […]

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Quantitative Evaluation and Modeling of Action-Reaction Cycles in Interactive Human Driving Behaviors

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 […]

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Experimental and Numerical Study of Smart Blinds for Building Applications

Windows account for about 30% of the total heat lost from buildings. Fenestration products like blinds and shades can increase the thermal resistance of windows, causing a reduction in the heat loss from windows. In this study, the performance of Smart Blind, an automated blind that adjusts its position to reduce the cooling/heating energy consumption […]

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Application of a Novel 3D Centerline Extraction Algorithm for Automated Coronary Artery Mapping and Quantification

Clinical radiology and medical imaging research are beneficiated from the increased effectiveness of modern computer vision and image processing technologies. In order to automatically extract 3D centerlines from complex 3D images, our lab recently created a novel image processing technique. We will demonstrate its clinical utility using real-world medical imaging data. Therefore, the objectives of […]

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Developing and Implementing Testing Protocols for Large-Scale Hydrogen Storage in Lotsberg Salt Formation

This project will develop and implement laboratory protocols to evaluate the possibility of large-scale H2 storage in salt caverns in Canada. Proof of concept experiments will be conducted on core samples from the Lotsberg Salt Formation to identify and unlock challenges related to containment, contamination, and consumption of stored H2 in salt caverns. The laboratory […]

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Embedded FBG sensor system for cylindrical roller bearing condition monitoring

Rolling bearings are widely used in products and machinery with rotational motion due to their low rolling friction. Recently, integrating advanced sensor units in the bearings is in a rising demand due to the market requirements. In addition, the advent of the Internet of Things (IoT) has encouraged the real-time monitoring of connected equipment and […]

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Selecting Mycelium Producing Strains for Packaging Bio-Foam Production and Canadian Market Potential for Big-Size Commodities

Manufacture companies use foam materials made of polystyrene to protect the goods during storage and shipping. However, polystyrene is plastic-based and made using crude oil, which is terrible for the environment. Used polystyrene foams are challenging to eliminate and occupy space in landfills for a very long period. This study investigates the manufacture of bio-composite […]

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Development of Adaptive Fault and Anomaly Detection for Industrial Processes and the Application of Reinforcement Learning (RL) for Automatic Fault Recovery

The Operational Excellence (OpEx) team at Spartan Controls is actively involved in several initiatives for developing advanced process control (APC) solutions to the oil sands industry. The OpEx team collaborates with Professor Biao Huang’s research group through the NSERC Industrial Research Chair (IRC) in the Control of Oil Sands Processes program for solutions that require […]

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The manufacture of mycelium-based bio-foams using upcycling waste materials and the study of the Canadian market potential for small-size products

This project will produce mycelium-based bio-foams (MBFs) using waste materials and edible mushroom strains. MBFs are a type of eco-friendly material, which has the potential to replace EPS in terms of foam packaging properties. The manufacturing of the product is a self-assembling process, without mining natural resources and generating wastes. It can also be crushed […]

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