Exploratory pharmacokinetic and preliminary efficacy modelling of select orally administered antiviral compounds following DehydraTECH formulation enhancement

Researchers around the world are racing to find treatment solutions to combat COVID-19, the disease cause by infection of the novel coronavirus (SARS-CoV-2). The use of antiretroviral therapy has recently shown preliminary promise. However, a barrier relates to bioavailability challenges, i.e., poor uptake, of these drugs. Poor bioavailability limits drug utility which could be paramount in combating rapid health declines in COVID-19.

Design and Development of COVID-19 Automated UV Object Disinfection Cabinet

Highly infectious COVID-19 has had widespread effects on Canadian and global health, security, and economy. While vaccines play a key role in preventing viral diseases, various measures should be taken to slow their spread. Among preventative measures, disinfection systems are of paramount importance to battle COVID-19.

Low-order Model of Supersonic Fluidic Oscillator for Superplastic Forming

The Superplastic Forming process involves gas injection from a variable pressure supply, to form a heated metallic sheet into a complex automotive body panel shape onto the surface of a die. The current process involves excessive forming times which allow residual stresses to relax and avoid cracking and tearing. Research shows that pressure pulsations of the gas supply increases allowable material strain rate, reducing required manufacturing time.

Development of High-Fidelity Computational Continuum MechanicsSoftware

Due to the potential for significant cost-savings, many companies are turning their attention to digital simulations to improve their products and develop new ones. Although software is available to support these efforts, there is a growing need in industry to improve the accuracy of predictions from these codes. The goal of this project is to conduct research required for the development of a new prototype software package for engineering simulations in continuum mechanics (e.g., fluid flows, heat transfer, electromagnetics, etc.) based on an innovative concept known as “cut-stencils”.

Addressing the Needs of Homeless Youth: The Implementation of ‘Housing First’ in a Medium-Sized Canadian City

This research examines the problem of youth homelessness which has significant social and economic costs for both the affected individuals and society as a whole. The research will result in a report to be delivered to Family Services Windsor Essex that will guide this organization’s youth homelessness initiatives.

Development and Assessment of Cognitive Workload Toolkit for Atlas Copco Operators in Manufacturing

Understanding cognitive workload of the operator is paramount in Ergonomics. Despite the danger that human factors like distraction, inattention and mental stress have on operators’ performance, little is known on how to measure operators’ cognitive load and mental state in a reliable and valid fashion. Atlas Copco is at the forefront of designing adaptive tools that minimize the risk of injuries. This partnership with Dr.

Project #160018b: Automated and Connected Electric Vehicle Integration- Detection of Trojan Hardware by Using Machine Learning

Electronic systems have advanced to the point that our daily activities depend on them and we trust the Integrated Circuits (IC) within the electronic devices to perform their required operation. Due to current manufacturing trends, ICs are outsourced to third parties, and may cause the integrity of the IC to be compromised. Systems that rely on ICs are then open to attacks; hardware and internal structure of the ICs can be modified, without the knowledge of the designer.

Spatio-Temporal Human Activity Recognition on Manufacturing Floors

In industry, inspection of manufacturing floors is handled by humans. The drawback of using humans for this repetitive task is that collected data can be highly prone to bias due to small sample size and industrial engineers can miss relevant details during the cycle time analysis. Calculations often misinterpret the real factory situation. This research aims at finding an automatic computer-vision-based system for manual inspection. Some industries are trying to use wearable sensors, so that they can monitor worker activities.

Using Additive Manufacturing to Minimize COVID 19 Transmission - Product & Process Development Support

This project is developed to leverage 3D printing to fabricate personnel protective equipment and other products that can help us navigate the COVID 19 pandemic. 3D printing can be used to quickly fabricate a design idea, but it is a slow process, and there is some inherent porosity, so using this process to make masks is problematic, and other products may prematurely fail. We can use the 3D printed parts for proof of concept, and as patterns to fabricate low volume molds.

Developing, Refining, and Implementing Specialty Additive Manufacturing Tool paths and Development of a Heat Transfer Framework for Bead Based Deposition Systems

New opportunities lead to new challenges. The additive Manufacturing (AM), or 3D printing process has created new opportunities as it has reduced advanced process planning times. However, this is not true for new multi-degree of freedom machines being introduced to fabricate complex metallic components. Research to facilitate AM CAD/CAM needs to be performed, and this research project focuses on developing advanced process planning solutions for bead based deposition systems. This research will support machine tool builders developing new AM equipment, and their customers.