Project 1 💡 Renewable Technology Challenge Custom designed wind turbine blade with the objectives of maximizing efficiency, minimizing cost and volume to be installed on the roof of Calgarian homeowners.
Project 2 🤖 Get a Grip Design a system where surgical instruments are transported to autoclave bins in containers for sterilization, using 3D modelling and computing skills.
Project 3 ♻️ Revenge of the Recycling System Design a system to sort and recycle containers, using 3D modelling and computing skills.
Project 4 🤖 Power in Community Design an efficient device that allows our client James to comfortably and safely, grip and mobilize common items, to ease the discomfort he experiences whilst using a mouse.
<aside> 📌 Our team worked on a scenario in which a start-up business aims to save money for residential homeowners in Calgary by taking advantage of the city's strong winds. The goal was to design a wind turbine for Calgarian homeowners which can be mounted on the roof of a house, that utilizes aerodynamic forces to convert the kinetic energy of the wind into rotational energy to drive a generator. This generator will produce alternating current electricity for residential homeowners in Calgary to reduce their electrical bills. The blade assembly should be compact enough to not interfere with neighboring houses or turbines, lightweight enough to not compromise the structure of the house, be easy to install, and not susceptible to damage from high winds.
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Final Gantt Chart Project P1 Wind Turbine.pdf
<aside> 📌 Project 2 involved a custom-designed system that safely transports surgical tools to autoclave bins to be sterilized, specifically through the use of rapid prototyping and physical computing. There were two sub-teams for this project. The Modelling sub-team's job was to design a container that can effectively contain the surgical instruments while being transported. The Computing sub-team's job was to write a computer program that controls a robotic arm to transport containers to be sterilized.
Our role in the Computing sub-team was to code a program in Python that controls a Q-arm. We had to change our code multiple times throughout the project; for example, we had to do this to properly implement the muscle sensor emulator used to control the arm. Finding the coordinates of the autoclave drop-off locations required a large amount of trial-and-error, but in the end we found ones that worked well.
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