Fabrication of Smart Clothing: From Machine Learning Approach to Fashion Design Concepts

Nowadays, wearable devices attract a lot of attention, especially in the healthcare field. But translating all devices to wearable devices always comes with challenges. Some of the challenges are lack of knowledge about the application of different materials in smart textiles, limitation of developed smart textiles in practical application, no significant dedication in designing clothing by considering the limits, etc. So, this proposal is trying to address those gaps.

Novel Graphene Systems for Battery Anodes Design and Thermal Management Systems in Electric Vehicles (EVs)

This proposed research utilizes novel graphene materials using Universal Matter’s “Flash Joule Heating” process in applications supporting the Electric Vehicle (EV) market. These graphene materials have disoriented stacking of its graphene layers, which helps incorporate metal ions and dopants into the graphene matrix, thereby creating exciting new opportunities across many electrical applications. The current research will investigate the efficacy of two new types of graphene materials for use in battery anode and thermal management system applications.

Learning-based Autonomous Robotic System for Package Sorting Application

With the advent of e-commerce and logistics industry, numerous goods are delivered every day. Sorting systems play a pivotal role in orders delivery practices. Advanced sorting systems are required nowadays because e-commerce retailers are usually confronted with different orders, each consisting of various items. Integrated sorting systems typically consist of a mix of conveyors tied together which are controlled by the Warehouse Management System (WMS). Traditional objects sorting lines rely on human operators to locate and pick each product by hand.

High-Fidelity Aerodynamic Optimization of eVTOL Rotor Designs

The PDF will start by validating the use of the open-source Stanford University Unstructured (SU2) RANS-based CFD solver for rotorcraft design. This includes generating a mesh and configuration file with SU2 and performing a grid convergence study to validate SU2 and the chosen turbulence models against the reference experimental data. Following this, PDF will generate a mesh and configuration file for the reference rotor geometry provided by the partner organization, Limosa Inc.

Development and commercialization of long-lifetime lithium-ion batteries for light electric vehicles

The goal of this project is to develop safe, long-lifetime batteries for light electric vehicles such as E-bikes. The commercialization of such long-lifetime batteries would benefit Zen Electric Bikes to bring a disruptive product to the market, reduce GHG emissions and reach revenue targets.

SARIT micromobility vehicle

The interns in this project will use their skills in researching parts and products that can be used to achieve the subprojects that we set out to create on the micro-mobility car. In some areas the students may use the machine shop and equipment found in the engineering building on York University campus to create parts. Lastly, the car will have to be tested for insurance and the received data collected to find an insurance suited for the car.

Greener Extraction and Optimization of Properties of Alginate-based Bioplastics and Hydrogels for 3D Printing

Seaweeds naturally produce polymers that hold great potential as a building block for bioplastics, which has been piloted globally but still nascent in Canada. This project establishes a partnership between Bioform Solutions Inc. and the University of Victoria Green Safe Water Lab, to develop a seeds-to-solution protocol for converting kelp into higher value bioplastics. The key molecule, alginate, varies in composition depending on the species of kelp.

BLH Personalized Smart Wig Simulation and Health Monitoring

Wig is a wearable device that can be used to help with many aspects of our lives. Since it is in close contact with the human body, it makes it a great tool for human health monitoring. This can be done through the hidden sensors in wigs that keep collecting information about physical and mental health of users. Since different wigs match different people, considering the shape of their head, skin color and their own preferences, it is important for users to know how a certain wig changes their appearance.

Technical, Environmental, and Economic assessment of recycled 3D printing filament making machine: Opportunely and challenges

The proposed project focuses on assessing an innovative piece of equipment for turning plastic waste into recycled filament for 3D printing. Through this project, Shifting Shap3s will better understand the impact of various factors, such as mechanical and environmental, on the quality of the output filament. In addition, the project will assess the environmental impacts of the product and its lifecycle. Moreover, it will analyze the economic performance of the product and opportunities for sustainable production.

New Generation Membrane Electrode Assembly using Novel Nanoporous Carbon Scaffold

Hydrogen fuel cells (HFCs) are clean and efficient energy conversion devices that produce electricity from green hydrogen with zero carbon emissions. Currently, the catalyst layers in HFCs are composed of Pt-decorated carbon powders mixed with an ion conducting polymer (ionomer), leading to uncontrolled distribution of each phase and significant tortuosity due to the complex pores and pathways between particles. The membrane electrode assembly (MEA) is the core component of a HFC that plays the most critical role in the HFC performance and lifetime.