Waste heat recovery in aluminium smelters: technical and economic analysis

Aluminium smelter are energy intensive and not particularly energy efficient, as most of the energy required to produce aluminium is lost along the production line. This is the reason why it is mandatory to perform a detailed analysis of the thermal wastes produced in these factories. The main objective of this project is to investigate the solutions to recover the thermal wastes and to convert them into useful power.

Evaluation of additive manufacturing technology for the fabrication of wind-tunnel model parts featuring static pressure channels

The objective of the proposed project is to evaluate the use of additive manufacturing technology for the fabrication of wind-tunnel model parts featuring static pressure channels. The long-term aim of this research to devise an innovative manufacturing process that reduces the cost and lead time required to fabricate aerodynamic wind-tunnel models. The suggested methodology is to test the transient response time of pressure channels manufactured with additive technology and to compare it with those manufactured using classical machining.

Development and characterization of polyester/graphene coatings

Environmental aging is responsible for many industrial failures. Using a protective coating is one of the most common and also efficient methods to protect material surfaces against environmental attack, and consequently extend their life. For modern coatings used for industrial applications, besides high chemical stability and good adhesion, new functionalities such electrical conductivity or anti-static properties are desired. For example, for development of transportation and electronic technologies, a low cost conductive coating with good physical properties is required.

Three-dimensional Object Pose Estimation

Estimating poses of three dimensional (3D) objects is of great importance to many high level tasks such as robotic manipulation, scene interpretation and augmented reality. Detecting poorly textured objects and estimating their 3D pose is still a challenging problem. The objective and expected result of this research is to develop a systematic and applicable approach that could detect poorly textured 3D object pose. The proposed method is using state-of-the art deep learning in computer vision.

Development and Optimization of Industrial Lubricants for Powder Metallurgy

Powder Metallurgy (PM) is a production method suitable for accurately fabricating complex shapes to a desired size and shape, thus minimizing the need for machining. This makes it cost effective in comparison to other manufacturing technologies.
In order to facilitate the production of PM parts, a lubricant is added to the iron based powder during mixing. The lubricant affects the internal friction between the particles during compaction as well as reduces the total energy needed to eject the part from the die after compaction.

Degradation Assessment for Critical Assets in Power Generation

Degradation assessment for critical assets in power generation has great significance for power industry. Existing degradation assessment models failed either in combining the multimodal condition monitoring data or in removing time-varying working condition influences, resulting in inaccurate and/or unreliable degradation assessment results. In order to achieve robust and accurate degradation assessment for power generation critical assets, this project aims at developing new models based on both maintenance data and condition monitoring data from ENMAX.

Design and Analysis of a High Performance Residence to Meet Upcoming BC Step Codes

In the coming months, a new set of energy efficiency targets called “step codes” will be incorporated into the standards used to build houses. The step code is intended to provide builders with a better understanding of what is expected of them when they build energy efficient homes. It will also allow municipalities incorporate energy efficiency standards into new housing developments. The anticipated problem is that the builders may struggle to meet these energy efficiency standards because it is different from the homes they are used to building.

Towards integrated rover designs optimized for navigation

Autonomous mobile robots which are designed to operate in unknown environments, such as Mars or the Moon surface must be robust to unpredictable challenges and capable of making correct decisions to survive. One of the important tasks of rovers is to locate themselves in an environment where no navigation aids such as GPS is available. This is necessary for planning their journey to explore as many scientifically interesting sites as possible.

Development of new generation of tool steels by modification in chemical composition, grain refinement, and cryogenic treatment - Year two

DK SPEC is a major producer of blades, cutters, and saws, made of tool steel, for the Canadian wood industry. In order to keep up with the stiff competition, the company has acquired some state-of-the-art heat treatment furnaces for cryogenic treatment. They have a complete cycle for machining, hardening, cryogenic and tempering cycles. They will shortly acquire a rolling machine in order to do deformation either cold or warm on the as-annealed materials before machining and final advanced heat treatment cycle.

Dimensional stability of composites during the assembly of space structures

Space structures must be designed to resist the harsh space environment, which include but it is not limited to atomic oxygen, ionizing radiation, charged particle plasma, man-made debris and micrometeoroids. Thus, the spacecraft must be designed to have high stiffness, low thermal expansion and high dimensional stability. Composite materials can be designed to fulfill those requirements to be used in space applications. Common structures that use composite materials allow for the transfer of information for space research and communication services, such as radio, television and telephone.