CAMDT Research Projects

Funding Agency/Program: FedDev Ontario/ SONAMI

Industry Partner: 2unify

Principle Investigator: Saleh Jiddawi, CAMDT / Ramzy Ganady, CAMDT

Technology Areas: AI, Prototyping

This research project will work on improving their existing automated smart stand to ensure higher accuracy, easier assembly, and a smoother hands-free experience to guitar tuning. Next generation 2unify stands will be able to tune any stringed instrument for musicians and music institutions.

The Challenge: Challenges addressed in this project were related to the cost of manufacturing, assembly time, safe transportation, cord management and the mechanical motion of the prototype.

The Solution: Project produced 5 prototypes - each one incrementally better than the last. Each prototype focused on improving multiple aspects of the challenges shared above.

Funding Agency/Program: FedDev Ontario/ SONAMI

Industry Partner: Dapasoft Inc.

Principle Investigator: Saleh Jiddawi, CAMDT

Co-Investigators: Somayyeh Poshtiban, Mechanical and Electrical Engineering & Technology (MEET) / Douglas Whitton (Faculty of Animation, Arts & Design (FAAD), IxD )

Student Research Assistants: Sanket Patel (MEET) Yara Kashlan (FAAD)

Technology Areas: Electronics prototyping, IoT, Interaction Design

In the rapidly evolving pandemic, this research project will use cutting-edge technology to develop a geotracking wearable wristband.

The Challenge: The main challenge addressed is that of monitoring and tracking individuals under the 14-day quarantine due to COVID19 regulations primarily related to travel restrictions.

The Solution: Design and produce an aesthetically appealing, functional prototype(s) of the quarantine tracking wristband.

Funding Agency/Program: FedDev Ontario/ SONAMI

Industry Partner:Stern Laboratories Inc

Principle Investigator:Joaquin Moran, MEET

Technology Areas: Fluid Mechanics, Heat Transfer, Computational Fluid Dynamics (CFD)

This project utilized Computational Fluid Dynamics (CFD) analysis and High Performance Computing (HPC) systems for simulation of flow in nuclear reactor fuel channels. Single-phase CFD models were used to study the flow characteristics, heat transfer and temperature distribution inside a fuel channel. The fuel model analyzed was a CANDU 37M, currently in-use in Ontario nuclear reactors. Our goal was to better understand the heat transfer characteristics of the fuel channels in order to develop safer reactors, providing support to Ontario's clean energy industry.

The Challenge: Using numerical models to predict the heat transfer characteristics (and temperature profile) of fuel elements subjected to fluid flow, in order to compare to experimental data.

The Solution:The simulations carried out using the computational package ANSYS, were first based on a simplified geometrical model of the fuel elements. After fine-tuning the initial conditions, boundary conditions and other parameters, two turbulence models (RSM and K-epsilon) were tested in order to predict the temperature profile on the surface of the fuel tubes. The temperature values obtained in the simulation were compared to experimental data collected by Stern Labs. It was found that better turbulence mixing was captured by the RSM model, which reduced the azimuthal temperature gradients in a better agreement with the test data. A new (more detailed) geometrical model was created for the next stage of the study, in order to validate a full-scale simulation using increased computational capabilities.