Large automotive body panels are currently manufactured by heating aluminum sheets and pressurizing them into a die. However, this superplastic forming process requires long cycle times to avoid tearing the sheet. Preliminary work has demonstrated that by applying small pressure oscillations in addition to the increasing base line pressure a significant increase in the formability of superplastic alloys can be achieved. This research will consist of experimentally applying small oscillations to AA5083 sheet specimens pulled in tension.
Semi-active suspension systems (SASSs) are becoming more prevalent in passenger vehicles on the road. These systems have been demonstrated to improve ride and handling performance of passenger vehicles. This project will provide a means to subjectively evaluate the performance of SASSs using a dynamic driving simulator. A controller model of a SASS will be created to predict the ride and handling of an FCA vehicle. The controller model will be connected to a full vehicle model and simulated in a real-time environment.
To mitigate risks of global malnutrition, hunger, and conflict; food production should become more efficient and sustainable. Controlled Environment Agriculture (CEA) can produce higher yields at reduced spatial and environmental footprints. This control improves management of key elements like water, nutrients, and nutritional outcomes. These advantages come with a cost however; of which energy is among the greatest. Greenhouses and vertical farms can have significant thermal management requirements, and increasingly, very large electricity demands.
Concrete bridge decks have joints, which are created because of the method used to build a bridge structure. These joints allow water and other deleterious materials to pass through the bridge deck corroding the deck and the supporting girders. Link slabs are provided to conceal these joints. A link slab is a thin slab made of special concrete called ECC. The main ingredient of ECC is fly ash which comes from coal-fired thermal plants. These plants emit a large amount of pollutants. Hence, Canada and many other countries have decided to decommission all coal-fired plants.
Within their ergonomics process, automotive manufacturers rely heavily on computer simulation technology, specifically "Jack" (Siemens PLM, Plano, TX). Advancements to "Jack" provide users the ability to create workstations, yet much time is required to produce a single simulation. This 3-year industrial collaboration will reduce the time necessary for their completion and, improve on the accuracy of digital simulations.
COVID-19, the respiratory disease caused by the novel SARS corona virus, has been a global threat for months now. The pandemic has crippled global healthcare sectors and economies. Early, rapid, and accurate detection of the contagion is critical for isolating infected patients to prevent further community spread. Currently, most communities in Canada suffer from insufficient testing capabilities, and as the need for testing increases, the added volume will produce a proportional amount of unreliable results.
A comprehensive genomic study for the virus SAR-Cov-2 itself and COVID-19 patient samples will be studies analyzed to understand the nature of the virus developments, and to find genomic biomarkers that helps in diagnosing and the treatment of the disease. We will try to understand the molecular network of the virus in the body and investigate the role of the coexisting agents as well in the patient samples. The bioinformatics tools and wet-lab experiments will help us to create a pipeline to react to any similar future epidemic/pandemic.
Since the COVID-19 outbreak, social distancing became the most effective approach to guarantee safety. In manufacturing operations this has been achieved through a work from home policy for non-essential personnel and staggered shift operations for essential personnel. However, it is near impossible to track essential personnel compliance to social distancing as well as optimize production operations manually due to the COVID-19 safety restrictions. Therefore, automated computer-vision-based alternatives have attracted interest for such applications.
Adaptive driving beam (ADB) is an advance vehicle forward lighting system that automatically adapts its beam patterns to create a non-glare zone around oncoming and preceding vehicles. The purpose of ADB system is to produce good long-range visibility for driver without causing discomfort glare to other road users. The non-glare zone of current ADB system is solely based of the width of oncoming or preceding vehicle that are detected by camera. However, the optimal width of ADB non-glare zone should be different for different driving scenario.
The rapid spread of COVID-19, associated with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is of tremendous global concern. There is an urgent need to expand the current diagnosis capacity and to develop effective home-usable tests, and simple ones that can be used at the primary point-of-care. Ideally, the test will be simple enough that it could be performed by untrained personnel, yet also optimized to eliminate potential misuse and inaccurate measurements.