Most of the cost of a product is determined by its design. Among current design theories and methods, there lacks a formal design method to support the design of a product that can be used as two or more products, an example of which is a sofa bed. Design for Versatility (DFV), as a design theory and methodology, will be developed to help designers to design a product that can perform functions of two or more products.
This research project supports the development of cycling planning tools within an online transportation planning platform called the Transportation GeoXchange (TGX). Research focusses on the development and integration of Level of Traffic Stress (LTS) network analysis in case studies using the TGX. LTS networks are routable graphs with impedance functions that characterize the subjective level of stress associated with traversing each street segment and intersection.
This proposed Mitacs project will investigate and further develop EIS (Electrochemical Impedance Spectroscopy), or AC-impedance-based measurement hardware used for diagnosing faults in PEM (Proton Exchange Membrane) fuel cell systems (FCS), and incorporation of this on-board EIS function in the fuel cell dc/dc converters used to transfer power from the fuel cell to the vehicle traction drive.
The proposed Mitacs E-Accelerate project mainly focuses on developing the application of the wire arc additive manufacturing technique as an alternative automated repair and restoration method for current manual processes implemented in Canadian industrial sectors. The main barrier toward the application of the wire arc additive manufacturing as a repair/restoration technique is the challenges in the resultant mechanical and electrochemical response of the restored component.
Space missions are very costly, limited and often short-lived. The capabilities and value of a space mission depends on the energy and power available on a space craft. For many space missions it is not possible to bring an energy source that can supply the required power throughout the entire duration of the mission. Furthermore, spacecrafts often generate excess heat that is largely unused. Cooling systems on spacecrafts are designed to radiate unwanted heat into space to prevent overheating. However, unwanted heat on spacecrafts has great potential to generate electric power.
Timber-harvesting is an important industry for Canada. For tree-cutting specifically, the industry employs large heavy-duty machines with crane-like manipulator arms which are driven by trained operators. The work involved in operating these machines is tiring, involves long hours in harsh conditions and as a result, there is presently a labour shortage for operators. It is therefore imperative to introduce AI and robotics into the operation of these machines in order to reduce the workload on the operators.
Infrasonic signatures are long wave acoustic signals in the under 20Hz range (below human hearing). The partner organization has been experimenting with infrasonic sensors to achieve 2 key outcomes: a) detection clear air turbulence to benefit commercial air travel and b) detection of ‘dark vessel’ marine traffic, i.e., illegal fishing.The ability to detect clear air turbulence from the host aircraft in real time offers a savings to the airline industry (between $500M and $1B per year) in lost time accidents and costly fly arounds for suspected turbulence.
Buildings are vulnerable to moderate and powerful earthquakes. In order to keep their functionality during and after the seismic events, structural control systems are the promising candidates to be embedded in the buildings in which they dissipate the energy towards the building and separates the movements between the soil and the infrastructure. One of the common systems for this protection is the friction pendulum system (FPS), but it has the disadvantage of losing position once an earthquake happens.
Reliability analysis of structures is crucial to ensure efficient operations in industrial assets. Nowadays, industries benefit from condition monitoring (CM) equipment to evaluate their products' health. Current commercial reliability software can not accurately analyze the reliability of structures under time-varying conditions. The intern has previously developed an algorithm for accurate reliability analysis of different structures. We have also validated that algorithm for bearings under time-varying working conditions.
Unmanned Aerial Vehicles (UAV) or drones have numerous applications in different industries. However, drones have limitations such as short flight time, limited flight range, and navigational inaccuracy in regions with unreliable GPS signal. To mitigate these limitations, using a group of drones to cooperatively perform the mission is proposed. The resulting parallel operation increases the efficiency and reduces the operational time. In addition, we propose a cooperative localization to navigate the group of UAVs as a back-up for GPS navigation.