Digital modelling of DC plasma torches (Part 2)

The use of plasma torches for the gasification of waste products enables the transformation of waste into clean energy with no residual by-products. As a result of the extremely high temperatures generated by plasma torches (from 5,000°C to 20,000°C depending on the type of gas used), torch and reactor modelling represent a technological challenge for designers. Digital modelling of the plasma flare and the electrical arc in the plasma torch will contribute to a better understanding of the degradation of the torch’s internal components.

Implementation of a non-linear block LU-SGS time stopping method

The objective of the project is the implementation of a fast solution algorithm for the simulation of complete aircraft configurations. In industry, these numerical simulations are used to compute detailed quantitative information about the flow patterns occurring during take-off, landing and cruise flight, and play an essential role in the optimization of aerodynamic surfaces. However, due to their computationally intensive nature, these analyses are very time consuming and usually require several hours to obtain.

Implementation and Validation of Detached Eddy Simulation (DES)

This research aims to enhance an existing aerodynamic simulation tool to provide more accurate simulation data for turbulent flows with massive separation regions. This will be achieved by implementing the Detached-Eddy Simulation (DES) method. The existing turbulence prediction modules rely on simulation of the largest eddy in the fluid domain and modelling of all other eddies. In DES, a range of large to medium-scale eddies will be simulated, whereby the modelling will be limited only to the effect of smaller eddies.

Video-On Demand Equipment Allocation

The content delivery network market is undergoing rapid growth as a broadband penetration develops and the demand for Internet delivery of high-quality media increases. To facilitate the planning phase of Video-on-Demand (VoD) networks, in collaboration with Nortel Networks, we developed the VoD Equipment Alocation Tool.

Computer Modelling of DC Plasma Torches with Draught Air in a Gasification Reactor

The use of plasma torches enables the gasification of waste into clean energy without producing any secondary residue. Because of the extremely high temperatures produced by plasma torches (more than 5,000 to 10,000 degrees Celsius depending on the type of gas used), the design of plasma torches and reactors presents new technological challenges to designers. Computer modelling of the plasma jet and gasification reactor will provide the basic data required for designing new equipment.

Model Transformation

In recent years, model-driven approaches have been used to tackle problems of ever-increasing complexity. A crucial component is the modelling of model transformation. This project will develop theory, techniques and a prototype implementation of a model transformation system in partnership with Manyeta, a provider of high-performance support systems and content management solutions which help clients to optimize business-processes by using technology more effectively and through the control of IT spending.

An Automated N-Dimensional Brain Tissue and Lesion Classifier in MS Patients using MR Images

NeuroRx is a Montreal, QC-based company which provides professional management of MRI-related study activities and delivers precise MRI outcome measurements that are performed in a regulatory compliant environment. The intern’s project will involve examining the computational issues associated with multi-dimensional analysis, namely, the computational efficiency and memory utilization, while creating an N-dimensional algorithm for segmenting and classifying the different tissue types in the brain (white matter, grey matter and cerebral spinal fluid) as well as white matter lesions.

Precise Calculation of Brain Atrophy Due to Focal Lesions in MS Patients: Modification of Non-linear Registration Algorithm

NeuroRx is a Montreal, QC-based company which provides professional management of MRI-related study activities and delivers precise MRI outcome measurements that are performed in a regulatory compliant environment. This internship research project will involve image processing to quantify local volume changes in serial MR images of the brain based on deformation field analysis using techniques that are relatively independent of pathological changes in image intensity.

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