Grants and Contributions

The group at OVGU Magdeburg will lead the development of the proposed Thermographic Phosphor Streak Velocimetry technique. The team will apply the diagnostic to heated laminar and turbulent air and validate it against the conventional Thermographic Particle Image Velocimetry. Additional experiments on a heated boundary layer will be set-up in Magdeburg to apply the technique in a challenging near-wall configuration, and the results will be compared the results of synthetic streak simulations performed at Polytechnique Montreal. The team at OVGU Magdeburg will also work closely with the NRC to both implement the TPSV system at the NRC and set up the two-phase flow experiment.

To characterize the performance of the proposed thermographie phosphor streak velocimetry (TPSV) technique, high-fidelity numerical
flow simulations will be performed at Polytechnique Montréal. The flow configuration will consist of a turbulent boundary layer
developing over a heated fiat plate. Synthetic TPSV measurements will be implemented using a particle tracing algorithm to provide
fine-grained validation and characterization of the experimental technique. Furthermore, the synthetic measurements will provide
information otherwise inaccessible from experiments, such as the rôle of 3D effects and potential slip velocity between the particles
and the surrounding flow.

The overall objective of this Project is the development of novel AI-driven methodologies for optimal cell therapy design.

This slows and limits innovation in applied MEMS technology areas. This Project will focus on the development of AI using multi-objective optimization to automate the design and optimization of complex MEMS systems.

The aim of this Project is to generate flexible-use, automated devices for rapid and efficient SARS-CoV-2 genome sequencing in order to enable early detection and molecular epidemiology studies to inform public health policies.

A major contributor to volatile organic compounds (VOCs)-associated off-flavours in pulse products is lipoxygenase (LOX). The Project will employ a flavouromics approach to provide a better understanding of these off-flavour formations by examining the LOX activity, fatty acids and VOCs profile of selected yellow peas, including processed fractions, and to investigate their association with their sensory profile.

Despite these advantages, issues such as cost, safety, and training must be addressed before Robot-Assisted Orthopedic Surgery (RAOS) becomes widely available. This Project will employ a digital twin approach to help reduce the cost and increase the safety of RAOS technology. Offline and in-process computer simulations are a key part of the current RAOS systems. This Project seeks to enhance these simulations by integrating the process physics (e.g. forces, temperature, vibrations). Specifically, the Project focuses on combining physics-based and data-driven methods to develop high-fidelity and high-efficiency models of the process physics during RAOS.

P002880

P002855

Not Available