Machine Learning-based Design of Quick Return Slider Crank Mechanism
This project was about 5 months of work in a team of 5 students. The goal of this project was to prepare us for our actual capstone, hence why many students refer to this class as "mini capstone". We had the choice of designing any type of quick return slider crank mechanism that had to meet a few requirements such as, needing to push a 0.5 kg mass, have a 250mm nominal range of motion, have an input speed of 30 rpm, material needs to be aluminum, a quick return ratio of 1.5 times to 2.5 times faster then the forward notion, optimized motor power and as small as possible.
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