Optimising Green Rainwater Infrastructure for Rain City Strategy Targets

The City of Vancouver’s Integrated Rainwater Management Plan and Rain City Strategy provides rainwater management targets and design standards for public spaces (streets, public spaces, parks) and private spaces (private property, City-owned property) in the City of Vancouver. To reach these targets, the City has adopted several Green Rainwater Infrastructure (GRI) approaches to achieve the design standards in both types of spaces. The GRI types that will help the City meet its targets sustainably include green roofs, rain barrels, and rain.

Robust Aerodynamic Shape Optimization of Automotive Vehicles

The post-doctoral fellow will first develop novel approaches for the unsteady flow design environment. The use of real-world automotive geometries will allow the post-doctoral fellow to gain valuable insights of the challenges in this field, a firmer grasp of the transient flow over automotive vehicles in real-world flow conditions and the use of commercial-industrial level numerical tools. In addition, the post-doctoral fellow will work closely with professional engineers from FCA and understand the intricacies and challenges associated with automotive vehicles.

Additive Manufacturing of Automotive Components

As an additive manufacturing (AM) technique, the laser powder-bed fusion (L-PBF) process produces metal objects layer-by-layer using a laser source. This project aims at increasing and improving the implementation of additive manufacturing (AM) technology in the automotive industry for producing lightweight heat exchangers. The proposed research is focused on developing technologies for designing automotive components with the aid of integrating topology optimization into the design process while exploiting the capabilities of metal additive manufacturing.

Multi-Physics Modeling and Characterization of Thin-Film Piezoelectric-Layered Polymer Composites under Mechanical Loading

Thin-film piezoelectric-layered polymer composites have shown a great potential for different applications such as micro-electro-mechanical systems (MEMS), mechanical energy harvesters, and security devices. This research proposes a comprehensive modeling and experimental characterization for understanding the electro-mechanical behavior of thin-film and flexible piezoelectric-layered polymeric structures under various mechanical loadings.

Data-Driven Control of an Ultracompact Industrial Robot

In recent years, automation has become more accessible to small- and medium-sized businesses, leading to an increase in popularity of ultra-compact and easy-to-integrate industrial robot arms like Mecademic’s Meca500. However, because of their size constraints, it is harder for these robots to accurately follow a programmed path. This research project aims to improve the path-tracking performance of Mecademic’s Meca500 robot by fusing state-of-the-art machine learning techniques with modern control design techniques.

Air microfluidics enabled edema sleeve

We are working on active compression sleeves for treating edema, which is the swelling of tissues due to the build-up of excess fluids, impacting roughly 40% of individuals with chronic spinal cord injuries. The technology behind this active compression sleeve is air microfluidics and minifluidics. The goal is to deliver a product that increases the quality of life of its users.

Development of an advanced Control Strategy for chemical dosing in sewers

The process of chemical dosing in sewers for mitigating the effects of odor nuisance and corrosion needs a lot of improvement in terms of on-line control of the variable amount of buffered iron salt that needs to be applied for different operating conditions and different sewage flowrates. In order to achieve this goal, this project aims at developing a lab-scale sewer simulator which operates in a similar manner to sewage water networks.

Simultaneous localization and mapping using a magnetic quantum sensor

Vehicles that are able to autonomously move in the air, on the ground, or underwater must fuse various forms of sensor data together in order to ascertain the vehicles location relative to objects or a map. Typical sensor data includes inertial measurement unit data and some sort of positioning data, such as GPS data. However, positioning data is not always available, especially indoors and underground. SBQuantum (SBQ) has developed a novel quantum magnetometer that can measure the Earth’s magnetic field gradient.

Assessment of local air filtration in hospital wards to prevent spread of SARS-CoV2

A major mechanism for the spread of COVID 19 is inhalation of aerosols and droplets produced by an infected person. Localized filtration systems (essentially an air purifier with appropriate inlet and outlet ducting) could provide an important layer of protection in the event that other layers of protection (ie, mask wearing) are compromised. Delta Hospital is developing local air filtration systems that would extract the majority of particles produced by a patient (with or without a mask).

Modeling the Ekona’s natural gas pyrolysis pulse reactor for the coproduction of blue hydrogen and carbon nanoparticles

A carbon growth model will be incorporated into Ekona’s reactor and process model and validated against experimental results. The resulting simulation model will be used to inform future reactor designs, specify balance of plant components, and optimize performance. The model will be capable of describing methane pyrolysis, estimating H2 production yield, and predicting the amount of produced carbon.