- Dr. Edgar Matida
Assessment of Masks and Aerosol Characterization from Cough, Sneeze, Speech, and Breath
COVID-19 can be spread by sneezing, coughing, and possibly even through normal conversation. The proposed research comprises numerical, in vitro, and in vivo fundamental studies of the characterization (size and velocity) of droplets and aerosols during sneezing, coughing, talking, and breathing as functions of time and distance from the source.
An adjustable cough and sneeze aerosol generator will be created and used to test filtration levels of popular designs of homemade masks. During the in vivo portion of the work (planned for when the present pandemic has subsided and social distancing regulations have eased), plume visualization using high-speed shadowgraph imaging techniques will be performed to complement the simultaneous measurement of aerosol size and velocity using phase Doppler anemometry at determined distances from the airborne material source. Numerical simulations of aerosol dispersion, validated against the experimental data, will provide a complete spatial characterization of the plumes.
– Dr. Jeremy Laliberte
Airwothiness Effects of Decontamination Processes on Drone Aircraft
In this project, we will examine industry-accepted decontamination methods and chemicals used in the traditional manned aviation industry and assess their applicability, operational impact, and potential to degrade the airworthiness of large and small remotely piloted aircraft systems (RPAS or “drones”). The short-term goal is to identify and develop an acceptable decontamination process for these aircraft for immediate deployment while identifying long-term design modifications and improvements to simplify decontamination of future drone aircraft of all types.
– Dr. Mojtaba Ahamdi
Semi – Autonomous Mobile Robotic Systems for Remote Assessments of COVID-19 Patients
This collaborative research project between Carleton University’s Advanced Mechatronics Laboratory (ABL) and the Children’s Hospital of Eastern Ontario (CHEO) proposes robotic remote patient assessment to enable physical distancing, thus preventing disease outbreaks. The ABL’s expertise in medical robotics will be complemented by CHEO’s medical expertise in developing and testing this technology.
Carleton’s existing robotic platform will be enhanced by additional medical instrumentation, advanced sensing and control tools, teleconferencing capability, and the required hardware and software infrastructure. Moreover, small-size UV-based disinfection apparatus will be considered for integration. This short-term project focuses on developing a proof-of-concept platform and conducting preliminary experiments at CHEO’s simulation environment. This will allow medical researchers with various expertise to conduct early research in preparation for more systematic clinical trials to be funded by further joint research applications.
An Experimental Investigation of the use of an Outlet Silencer to Quiet Ejectors
A recent paper by Mechanical and Aerospace Professor Joana Rocha and graduate student, Gerard Desmarais, was published in the International Journal of Aeroacoustics via SAGE publishing.
Their experimental work investigates the use of a silencer affixed to the outlet of a subsonic air–air ejector as a means of quieting the ejector. An emphasis is placed on finding a silencer design which has a minimal impact on the mass flow rate exhausting from the ejector (pumping performance).
It is found that the size and shape of the ejector can be designed in such a way to reduce the overlap of natural modes and thus the overall noise levels of the ejector caused by high levels of resonance.
Read the full scholarly journal here: SAGE
Professor Jie (Peter) Liu is leading international research efforts in Prognostics and Health Management (PHM)
Dr. Jie (Peter) Liu is an Associate Professor in the Department of Mechanical and Aerospace Engineering at Carleton University. He is leading international research efforts in Prognostics and Health Management (PHM) with applications to several engineering systems including gas turbine engines, lithium ion batteries, and mechanical power transmissions. A recipient of Carleton University’s Achievement Award (2017) his research contributions have led to 56 journal papers and 36 conference papers.
As an emerging interdisciplinary engineering program, Prognostics and Health Management (PHM) has been expanding very rapidly in the past twenty years with tens of thousands of researchers and practitioners worldwide.
Nowadays, the applications for PHM are very broad, encompassing aerospace, energy, manufacturing, defence, civil, automotive, transportation, communication, and health care. PHM methodologies could provide effective means for reduction in cost associated with the maintenance of complex systems, equipment, or facilities through accurate assessment of incipient damages and/or reliable prediction of remaining useful life at both component and system levels.
The Energy and Emissions Research Lab (EERL) study finds Federal regulations for methane more effective than Alberta’s, but both can improve!
New research published by Carleton University’s Matthew Johnson and David Tyner in Elementa: Science of the Anthropocene suggest that the federal government’s proposed regulations to reduce methane emissions, a potent greenhouse gas emitted by the oil and gas industry, would be more effective than competing regulations proposed by the Alberta government.
But there’s room for improvement for both, and a question mark over whether either set of regulations would meet Canada’s methane reduction targets.
Click Here to read the full story in CBC News.
The Cadaveric Response to Concussive Impact: Tracking brain tissue displacement and strain fields with high-speed X-ray imaging
A state-of-the-art X-ray system, jointly funded by the Canadian Foundation for Innovation and the Ontario Research Fund, is currently being used to advance injury biomechanics knowledge. Prof. Oren Petel and his Impact Dynamics Research Group (carleton.ca/impact) have focused on developing new tools and techniques to complement existing helmet evaluation methodologies. “Our ultimate goal is to use a new paradigm to guide future helmet design” says Prof. Petel.
Prof. Petel’s custom and unique high-speed X-ray imaging system, designed and built in his lab with his research team, has enabled multidisciplinary research measuring the relative motion between the brain and skull of cadavers, data required to calibrate brain injury models. His research group currently works with commercial helmet designers to translate their innovations outside of the university, in an effort to reduce concussion incidence, and ultimately benefit public health.
Adaptive Coordinated Motion Control of Free-Floating Space Robots
Professor Steve Ulrich’s research in the area of autonomous robotics and controls for spacecraft proximity operations was recently recognized by two major awards. Funding from the Ontario Ministry of Economic Development, Job Creation and Trade through the Early Researcher Awards (ERA) program and from Carleton University’s Research Achievement Award (RAA) will allow Prof. Ulrich to address challenging problems related to autonomous proximity operations with uncooperative space debris.
With these two prestigious awards, Prof. Ulrich and his research team will develop adaptive algorithms to modify, in real-time, the behavior of the on-board guidance, navigation and control system, thereby enabling a robotic spacecraft to autonomously and safely interact with space debris.
Experimental validation of the innovative algorithms will be conducted with the Spacecraft Proximity Operations Testbed; a unique gravity-offset facility in Canada which is part of Prof. Ulrich’s Spacecraft Robotics and Control Laboratory.