Conception d’une méthode pour déterminer la capacité d’un complexe manufacturier d’entretien, de réparation et de remise à niveau, avec application dans un contexte de turbines industrielles

La planification des opérations de maintenance est une tâche compliquée car elle est difficilement prévisible. La détermination des points bloquants dans la production permettra de mieux les éliminer et ainsi de réduire le temps de réparation des turbines. Pour cela, le stagiaire cherchera dans un premier temps à trouver le meilleur logiciel pour faire cette […]

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Multiparametric Analysis of Brain & Lung Imaging from COVID-19 Patients

The intern will participate in NEUROCOVID19, a project studying how the COVID-19 virus can potentially infect and damage the brain. The intern will develop methods for analyzing magnetic resonance imaging (MRI) of the brain and of the lung, as acquired from people who are no longer infected, and people who were never infected. The intern […]

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Fugitive Emissions in Liquefied Natural Gas Transmission, Storage, and Distribution: Canadian Solutions for Transportation and Remote Power

The proposed research will be focused on eliminating fugitive emissions from liquefied natural gas (LNG) transmission, storage, and distribution operations. LNG can be used as fuel for transportation, and for combined heat and power generation in remote locations. We will study transmission, storage, and distribution operations by developing quasi-steady-state and time-dependent thermodynamic models. These models […]

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A digital technology platform for supply chain: Development of scenario planning and forecasting models and tool for the engine build program to assess the impact of variations in sales forecast on inventory planning

Industry 4.0 is the digitization of a company’s physical assets and the company’s integration into digital ecosystems with its value chain partners, from suppliers to customers. It uses smart technology and the use of real-time data to increase flexibility, customization, efficiency and productivity, and to reduce time, costs and innovation cycles. This project will focus […]

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A Finite Element Framework for Non-linear Material Constitutive Modelling of Superalloy Additive Manufactured Parts

Due to its versatility, time and cost saving, additive manufacturing (AM) technology, and more specifically selective laser melting process (SLM), is replacing conventional manufacturing processes, particularly for producing complex geometry components. In this technology, the near net shape parts are incrementally built by fusing layers of powder material using an intensive heating source/ Structural stress […]

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“Advanced Manufacturing Automation, Digitization and Optimization – AMADO”

The 4th Industrial Revolution “Industry 4.0” (Germany, 2011), with its automation and digitization technologies will change the landscape of the industry. It is characterized by optimization and management of assets, sharing and security of big data, tracking parts from cradle to grave: the “Digital Thread,” data analytics and Artificial Intelligence (AI). The design and management […]

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Siemens next generation land-based gas turbine engine combustors: Characterization and development of a newly-designed injection system

Siemens Canada develops land-based gas turbine engines that are used for power generation. These engines burn natural gas and produce combustion pollutants such as carbon monoxide and nitrogen oxides. Reducing emission of these pollutants addition of low carbon fuel, such as hydrogen, to natural gas. However, addition of hydrogen leads to occurrence of combustion instabilities […]

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Quantitative Brain PET/MRI

Recently, positron emission tomography (PET) and magnetic resonance imaging (MRI) have been successfully combined into a single system that can collect clinical PET/MRI data simultaneously (Siemens Biograph mMR). With PET, a wide variety of tracers have been developed that can measure energy usage and concentrations of disease-specific features in the brain. In collaboration with Siemens […]

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Next Generation Engine

The next generation of engines will needs to comply with increasing stringent pollutant emissions legislation. These engines will also have to be able to accept a wide range of gaseous fuel composition and have the capability to operate on liquid fuel either for emergency backup or for full baseload operation. Additionally, they will need to […]

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SIEMENS Perceived Value of Energy Consumers Project: Research and Development for Modeling the Perceived Value of Energy Consumers

Research and Development for Modeling the Perceived Value of Energy Consumers is a novel area of study which should help to better understand the energy consumers and the perceived value they place on different services and products. By identifying, understanding potential new products and services the related business models can be developed. Various dependencies between […]

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