Data-Driven Imaging Correction for SLA/DLP Printing

Faculty Mentor:

Yaling Liu, Professor, Bioengineering/Mechanical Engineering & Mechanics

Project Summary:

3D printing and additivie manufacturing, have 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.