Data-Driven Image Based Calibration for SLA/DLP Printing and Lithography

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Faculty Mentor:

Yaling Liu, Professor, Bioengineering/Mechanical Engineerins & Mechanics

Summer 2020 Students:

Molly Benning '21, Industrial and Systems Engineering

Conner Salerno '22, Bioengineering

Project Summary:

3D printing and additivie manufacturing, hve become ubiquitous in today's society. But how can we make these processes more reliable and accurate? This project focuses on a data-driven method for calibration and reducing imperfections in the process of lithography or 3D printing using stereolithography (SLA) and digital light processing (DLP) methods.