Overview

For the final eight months of my undergraduate career, I led a group of four in tackling one of the largest challenges in the battery recycling industry. Current recycling solutions lack profitability and entail significant energy costs and waste production. Direct recycling, a low-impact, high-material-yield process, is not currently employed due to challenges in automatically disassembling a variety of cells. My capstone project proposes a novel direct recycling process that integrates machine learning with state-of-the-art methods to disassemble the three most common types of lithium-ion cells. At the cumulative capstone symposium, we received outstanding feedback, leading to our poster winning a program-wide award.