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Dimensional Accuracy of Photo-Curing (LCD) Microprinting Cover

Dimensional Accuracy of Photo-Curing (LCD) Microprinting

Open Access
|Jul 2026

Abstract

The study investigates the dimensional accuracy of photo-curing (LCD – liquid crystal display) microprinting, as well as the geometries possible to obtain in a repeatable manner through the before mentioned method. LCD technologies rely on the photopolymerization effect induced by UV light patterns projected through a liquid crystal screen. This method is known for its capability of producing high-quality surface finish and fine details (in comparison to material extrusion 3d printing methods). Quality of the part can be influenced by various factors, including the screen resolution and pixel size, light intensity distribution, resin composition, its type, its properties and exposition time, to name a few. To comprehensively understand these effects, authors conducted a series of experiments, to quantify the dimensional deviations and amount of geometrical defects in comparison to intended designs (the model). Various geometric shapes with critical dimensions ranging from tens to hundreds of micrometers were printed using different manufacturing settings. The results were analyzed to identify the primary contributors to dimensional deviations and to assess the limitations of the process. Our findings reveal that high levels of precision with very fine structures (approximately 30-40 micrometers in the smallest dimension) can be achieved, but proper resin selection, as well as processing parameters, including digital model preparation, have to be picked. The study provides insight into photo-curing LCD microprinting, expanding its applicability in precision engineering and microdevice fabrication.

DOI: https://doi.org/10.65731/ama-2026-0003 | Journal eISSN: 2300-5319 | Journal ISSN: 1898-4088
Language: English
Page range: 28 - 35
Submitted on: Sep 17, 2025
Accepted on: Nov 30, 2025
Published on: Jul 16, 2026
In partnership with: Paradigm Publishing Services

© 2026 Łukasz Kowalski, Dorota Czarnecka-Komorowska, Michał Bembenek, published by Bialystok University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.