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About

David K. Harrison is a manufacturing engineer and researcher whose work spans robotic assembly systems, precision optics manufacturing, and advanced polishing processes. His early contribution, "A Cell Management System to Support Robotic Assembly" (2001), established his credentials in intelligent automation, garnering 13 citations and demonstrating his long-standing interest in integrating robotics into complex manufacturing environments. Harrison's research evolved significantly toward polymer optics and mold manufacturing, reflecting the growing industrial demand for high-quality optical components used in ophthalmic lenses, sensors, and consumer eyewear. His 2012 paper on precision mold manufacturing for polymer optics (9 citations) highlighted critical challenges in injection molding processes, while subsequent work focused on achieving deterministic, reproducible polishing outcomes. His use of finite element method (FEM) simulation to predict material removal in PMMA polishing represents a particularly innovative approach to bridging computational modeling and physical manufacturing processes. A recurring theme across his publications is the application of industrial robotics to surface finishing and mold geometry correction, tackling one of manufacturing's most experience-dependent disciplines with systematic, data-driven methods. With a focused and technically rigorous body of work, Harrison has made meaningful contributions to precision manufacturing research, particularly at the intersection of robotics, optical engineering, and surface science.