Two-Stage Anaerobic Digestion of Source-Separated Organics and Municipal Sludges to Produce Renewable Bioenergy

A significant fraction of wet organic waste streams within typical municipalities include food wastes (collected by many as source separated organics), and sludges or biosolids. In Canada, such wastes are mostly going to landfill or being land applied to recover some nutrient value. Anaerobic digestion (AD) for disposal of organic waste is an attractive option to recover renewable bioenergy (as methane or hydrogen), with additional environmental benefits from preventing such wastes from going to the landfill.

Developing a Multiphysics FEA Model of an Inductive Conductivity Sensor

The CTD is a rosette structure which is circular in shape and houses a number of elements. These elements include sensors, water sample bottles, ropes and cables to support the CTD structure. The sensors included in the CTD are not limited to conductivity, temperature and depth, but also include sensors to determine other physical properties. In this research, a model of the CTD sensor designed by RBR will be developed for the purpose of measuring conductivity and determine the nature of the water sample by calculating indirect parameters associated with it.

“Transit Gender Sunshine List”: Assessment of Representation of Women as CEOs and Directors of Canadian Transit Systems

CUTRIC, in partnership with the University of Windsor are seeking greater understanding of the barriers to participation which have resulted in the low representation of women within the leadership ranks of Canadian transit systems. To better understand this lack of representation, a literature review will be conducted to ascertain what knowledge exists in this field and will be used to provide a foundation for the next steps of the research.

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.