Articolo in rivista, 2022, ENG, 10.1016/j.addma.2022.103020
Camposeo, Andrea; Arkadii, Aristein; Romano, Luigi; D'Elia, Francesca; Fabbri, Filippo; Zussman, Eyal; Pisignano, Dario
NEST, Istituto Nanoscienze-CNR and Scuola Normale Superiore, Piazza S. Silvestro 12, Pisa, I-56127, Italy; Department of Mechanical Engineering, Technion-Israel Institute of Technology, Haifa, 32000, Israel; NEST, Scuola Normale Superiore, Piazza San Silvestro 12, Pisa, I-56127, Italy; Dipartimento di Fisica, Università di Pisa, Largo B. Pontecorvo 3, Pisa, I-56127, Italy
Photopolymerization processes are exploited in light exposure-based 3D printing technologies, where either a focused laser beam or a patterned light sheet allows layers of a UV curable, liquid pre-polymer to be solidified. Here we focus on the crucial, though often neglected, role of the layer thickness on photopolymerization. The temporal evolution of polymerization reactions occurring in droplets of acrylate-based oligomers and in photoresist films with varied thickness is investigated by means of an optical system, which is specifically designed for in -situ and real-time monitoring. The time needed for complete curing is found to increase as the polymerization volume is decreased below a characteristic threshold that depends on the specific reaction pathway. This behavior is rationalized by modeling the process through a size-dependent polymerization rate. Our study highlights that the formation of photopolymerized networks might be affected by the involved volumes regardless of the specific curing mechanisms, which could play a crucial role in optimizing photocuring-based additive manufacturing.
Additive Manufacturing 58 , pp. 103020-1–103020-8
Photopolymerization, Process monitoring, Optically transparent materials, Light scattering, Vat photopolymerization
Pisignano Dario, Romano Luigi, Camposeo Andrea, Fabbri Filippo
ID: 476211
Year: 2022
Type: Articolo in rivista
Creation: 2023-01-11 13:56:57.000
Last update: 2023-01-11 13:56:57.000
CNR institutes
External links
OAI-PMH: Dublin Core
OAI-PMH: Mods
OAI-PMH: RDF
DOI: 10.1016/j.addma.2022.103020
URL: https://www.sciencedirect.com/science/article/pii/S2214860422004122
External IDs
CNR OAI-PMH: oai:it.cnr:prodotti:476211
DOI: 10.1016/j.addma.2022.103020
ISI Web of Science (WOS): 000853389900003