While newer, advanced Filament Fused Deposition Modeling (FFDM) 3D printing systems for additive manufacturing of plastics products have been designed in order to increase rate productions similar to conventional plastic transformation processes.
Bearings are typically located in the heart of all rotating applications, with rotational speeds, forces, and vibrations impacting them somehow. Due to various reasons, such as fatigue, bearings encounter abrupt operation failure that damages surrounding components. In some applications, such as wind turbines and high-speed trains, it is expensive to replace the bearing and other damaged parts, despite the threat to humans’ lives. Since condition monitoring requires expensive sensors, many small industries still use conventional methods like run-to-break.
Composite structures are very popular in industries due to their lightweight and high strength. They degrade and cause huge economic losses or even serious disasters. Structure health monitoring has a great significance in the operation and maintenance of industrial assets. Current commercial software for structural health monitoring uses traditional and common methods which are only effective in constant loading conditions and require a large amount of historical data to train models. The intern has developed an unsupervised structural damage detection technique.
Automated essay scoring (AES) task involves using computer technology to grade written assessment and assigning a score based on its perceived quality. AES has been among the most significant Natural Language Processing (NLP) applications especially due to its educational and commercial value. Accordingly, AES is a well-studied topic with previous studies focusing on improving the performance via state-of-the-art deep learning and NLP methods to more accurately score the essays. The majority of these studies rely on publicly available corpora and limited datasets.
In the proposed project, we will investigate a solution for increasing the safety of construction workers at heights using an intelligent sensor-based system. A real-time monitoring system will be developed for alerting workers who are getting close to hazardous conditions and areas. The objective is to lower the chance of accidents by enhancing supervision of workers for their safety based on regulations and working practices in a construction site.
Helical steel piles are commonly used structural elements that anchor building foundations deep in the soil. Recently, it has been demonstrated that they can be used as ground heat exchangers with ground source heat pumps (GSHPs). These dual use geo-piles (structural and thermal) have the potential to significantly reduce GSHP installation costs, leading to greater adoption of sustainable energy technology. A potential application of geo-pile heat exchangers has been identified in the remote Canadian North.
Existing firearm locks are outdated and need improvement in their ergonomics, safety, and design. A new design to minimize the size of the lock as well as facilitate more intelligent unlocking actions are urgently needed and increase the safety during the storage and transportation of firearms. This research aims to design and develop a new locking system that is minimalistic in design and easy to use. In this research, a new locking system is designed by applying a newly developed design methodology called Domain Integrated Design (DID).
Microarray testing allows high-volume analysis. This work will develop tools for accelerated analysis and modifications to surfaces used within the partner facilities. The goal is to enhance the performance of current assay designs and to inform and guide the next-generation of assay designs (ie 384 well plates) which will support the partner’s technology leadership position. After implementing a print run and analysis using the current quality control protocols, data will be compared with existing results.
An early damage/anomaly detection on objects such as: pipelines, turbomachinery, vehicles, and structural elements can save thousands of dollars that goes in the repair and maintenance costs. Various contemporary robotic inspection technologies exist that aim to solve this problem. However, a challenge arises when the objects of interest are present in remote regions with extreme/harsh environmental conditions that are unsuitable for humans. Such environments can potentially pose a threat to human safety.
This research focuses on two advanced treatment methods for Gamma Knife radiosurgery, primarily used to treat brain tumours, to bring both methods closer to clinical implementation. Dose painting uses medical images for prescriptions to individual voxels (small volume cubes), and tailors treatments to each patient’s tumour biology. Dynamic treatment involves continuously moving the patient while delivering radiation, which may reduce treatment times and improve dose uniformity in treating larger tumours.