ERGO4ALL: Intégration de l’aspect temporel dans l’évaluation du risque de TMS

Les logiciels actuels de DHM (Digital Human Modeling ou d’ergonomie virtuelle) destinés à la conception de situations de travail et de produits demeurent difficiles à utiliser ce qui en limite grandement l’utilisation par les concepteurs et les ergonomes. Pourtant, l’utilisation plus répandue de DHM permettrait d’en arriver à des environnements de travail plus sécuritaires et […]

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PROJET ANÉMONE. : Algorithmes d’aNticipation des dÉfauts, de leurs MOdéliation et de leurs Neutralisation anticipée.

Afin d’optimiser son processus et de tirer profit du cumul des connaissances accumulées dans les compagnies, le projet porte sur la mise en oeuvre et l’extension d’un dispositif d’interprétation des KPI générés dans le but de réduire l’implication humaine et de fournir aux experts un outil pour les guider dans l’analyse des causes dans le […]

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FINITE MODELING OF BRIDGE ELASTOMERIC POT BEARINGS

Elastomeric Pot Bearings (EPBs) are High Load Multi-Rotational bearings developed in Europe in the early 19605 to support a bridge superstructure while transmitting large force demands to the supporting piers and abutments, and accommodating rotation about any horizontal axis as a function of the applied loads. EPBs have usually been designed according to a mix […]

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Amélioration du bilan hydrique souterrain du Campo de Cartagena

L’économie de la région du Campo de Cartagena en Espagne est basée sur une intense agriculture irriguée qui alimente une grande partie de l’Europe de l’Ouest en fruits et légumes. En l’absence de suffisamment d’eau de surface, les eaux souterraines sont depuis plusieurs décennies une ressource cruciale. L’eau est pompée jusqu’à 600 m de profondeur […]

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Automated Visual Inspection, Sentencing & Dressing

Within the aerospace sector, aftermarket services account for over 50% of revenue generated by aero engine manufacturers. Central to this is the ability to inspect and repair high unit cost components. Many processes are manual but given the ever-increasing quality, cost and delivery requirements, and the safety critical nature of these rotating parts, there is […]

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Application of Model Predictive Control to HVAC Systems in Smart Buildings

This project aims at applying the technique of Model Predictive Control (MPC) to control the thermostatic loads in HVAC systems in the context of smart buildings. The main objective of this project is to verify the capability of MPC-base control schemes developed in academic research projects with a real system operated by Fusion in terms […]

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Numerical Prediction of Mode Splitting on Rotating Disks

This project aims to develop a numerical tool for predicting accurately resonance frequencies of high-heads hydraulic turbines. Both the presence of water and the rotation of the disk-like structure induce shifts in these frequencies compared to a standing disk in air, respectively added mass and mode split. The project is articulated around the following steps: […]

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Real-Time Operating System for Safety Critical Systems

Mannarino Systems & Software Inc. is currently developing M-RTOS, which is a Real-Time Operating System (RTOS), designed specifically to meet the requirements of the aeronautical industry’s ARINC 653 Avionics Application Software Standard Interface specification, and supporting a wide range of avionic systems. Throughout this phase of the project, the Concordia partner will provide a synthesis […]

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Ergo4All : Comment informer et guider les utilisateurs au sujet des risques ergonomiques associés aux postes de travail?

L’objectif de ce projet de recherche est de déterminer la meilleure manière d’informer et de guider les utilisateurs d’un nouveau logiciel de modélisation numérique de l’humain face aux solutions ergonomiques que ce logiciel propose pour qu’ils comprennent ces solutions, se sentent en confiance vis-à-vis de celles-ci et décident de les appliquer plutôt de décider de […]

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Virtual testing of composites in aerospace

Canada’s aerospace industry relies on expensive and time-consuming testing campaigns to introduce new composites or obtain baseline material properties. Design allowables (e.g., strength used in design phases) are obtained from empirical knock-down factors that account for temperature, environment, etc. This approach is over-conservative and disconnected from physical grounds; it also leads to situations where different […]

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Cancer tissue classification using machine learning/deep learning algorithms

Raman spectroscopy is a non-destructive laser-based optical technique that provides information on the molecular composition of biological tissue. Using this technique, it is possible to distinguish different types of tissue and use this information to develop prognostic tests to evaluate, for example, how a patient will respond to a specific therapy. Combined with other spectroscopy […]

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