Buildings account for approximately 55% of Toronto’s greenhouse gas (GHG) emissions. This is mainly due to space and water heating: approximately 42% of Toronto’s GHG emissions result from space and water heating alone. Thus, replacing natural gas boilers and furnaces with high efficiency technology supported by renewable resources has the potential to significantly lower GHG emissions.
This research project will investigate materials and process behaviors in microelectronic packages that are become increasingly dense and explore novel alternatives to accommodate such densities. When more components are placed and interconnected with each other in smaller and smaller spaces, traditional materials and methods for package assembly become difficult, if not impossible, to replicate.
This project is a necessary step toward model development for machine condition assessment that is capable of both diagnosis and prognosis including root cause analysis. The analytical model, once validated and calibrated can serve as a baseline model or a template for the detection of machine health problems. Because of the details of a machine internal variables this model can provide, it can allow the root cause determination of machine faults.
Soucy Techno est une entreprise manufacturière québecoise spécialisée dans le mélange de caoutchoucs et composites destinés à différentes applications, dont celles du secteur militaire, industriel, agricole, récréatif et minier. Un des besoins des clients de Soucy Techno est d’utiliser des caoutchoucs ayant une durabilité plus élevée en utilisation réelle. Un exemple de produit nécessitant cette amélioration est la chenille de caoutchouc – faite par Soucy International – destinée à la traction de véhicules militaires de 45 tonnes et plus.
In recent years, machining with robots has become a trend in the manufacturing industry. The concept offers an economical solution for medium to low accuracy machining applications. However, due to the complexity of the robot kinematics, planning for these paths is challenging. Jabez Technologies has developed a semi-graphical approach that can program large robot-paths. This approach has been very well received by the industry and has proven to be extremely robust in practice. However, this approach is semi-automatic and cannot work without user input.
Targeted delivery of drugs can reduce the side effects associated with oral delivery systems. The urethra provides easy access of therapeutic agents to the urinary bladder, an ideal organ for localized therapy for the treatment of bladder cancer, interstitial cystitis, overactive bladder, and chronic prostatitis. We propose a new therapeutic approach to increase the residency time and efficacy of the drugs by using biogradable polymers as a drug carrier, allowing a prolonged release of drugs in the bladder.
Wind turbine generator power output and consumer electricity demand vary independently from one another. This presents a difficult situation for electricity grid managers as they attempt to exactly match demand using wind turbines and conventional generators (e.g. hydro, fossil fuels). Accurate forecasting of wind turbine generator power enhances management of the electricity grid, allowing for more wind turbine generating capacity while maintaining grid stability.
The overall research aims at conducting studies that use high volume data and analytics in order to provide realtime process optimization and optimal control to processes that are to be controlled in preparation for the industrial environment. These investigations is the first stage or Phase 1 associated with creating the mechanism to have machines learn, learn form each other and make intelligent decisions, using a framework of sensor(s) connectivity and cloud-based computing as part of the industrial internet.
The project relates to the fabrication of polymeric devices capable of mimicking that of live human tissue under x-ray computed tomographic (CT) imaging. These devices must be fabricated in such a way that specific material properties are controlled to thereby precisely mimic the desired tissue. The work following this will benefit the partner organization as they will be able to optimize CT imaging conditions by means of precise tissue mimicking polymeric devices.
In this collaborative project with Comtek Advanced Structures, the PhD Intern will develop methodologies to model and predict the propagation of acousto-ultrasonic and ultrasonic sound waves in advanced composite materials for aerospace applications. These sound waves can be used to detect damage and degradation in aircraft structures.