Investigation of resin composition and printing parameters on the dimensional accuracy of alumina components fabricated via ceramic vat photopolymerization

Dimensional accuracy in ceramic vat photopolymerization is influenced by broadening, where cured regions exceed intended exposure areas due to light scattering in the ceramic resin. This study evaluates how printing parameters (exposure time and peel-off speed) and resin composition (photoinitiator type and concentration, and dye type and concentration) affect the accuracy of negative (e.g., holes) and positive (e.g., pillars) features of varying sizes (0.45 mm). Results showed that feature size influences accuracy, with longer exposure times improving interlayer bonding but reducing resolution. Photocuring behavior aligned with the UV absorption spectra of photoinitiators and dyes. Increasing photoinitiator concentration led to higher lateral light penetration ( S w ) but lower depth penetration ( D p ), while increasing dye concentration resulted in reduced S w and D p . The findings in this study enhance the understanding of ceramic VPP, reinforcing its potential for industrial applications that require high dimensional accuracy. • Higher photoinitiator amounts increase width sensitivity but reduce depth sensitivity • Increased dye amounts reduce depth and width sensitivity as well as broadening depth • Slower peel-off speeds improve accuracy for printing fine and delicate structures • Resins with low broadening depth and rates exhibit superior dimensional accuracy • Feature size strongly influences the achievable dimensional accuracy in printing

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Publication Details

Journal
Open Ceramics
Published
2025-02-23
DOI
https://doi.org/10.1016/j.oceram.2025.100751
Citations
2
Primary Topic
Additive Manufacturing and 3D Printing Technologies
Type
article
Field-Weighted Citation Impact
1.37
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article

Investigation of resin composition and printing parameters on the dimensional accuracy of alumina components fabricated via ceramic vat photopolymerization

Erkka J. Frankberg, Setareh Zakeri, Erkki Levänen, Piie Konnunaho
2 citations
Open Ceramics
Additive Manufacturing and 3D Printing Technologies
1.37
article

Investigation of resin composition and printing parameters on the dimensional accuracy of alumina components fabricated via ceramic vat photopolymerization

Erkka J. Frankberg, Setareh Zakeri, Erkki Levänen, Piie Konnunaho
article en
2 citations

Abstract

Dimensional accuracy in ceramic vat photopolymerization is influenced by broadening, where cured regions exceed intended exposure areas due to light scattering in the ceramic resin. This study evaluates how printing parameters (exposure time and peel-off speed) and resin composition (photoinitiator type and concentration, and dye type and concentration) affect the accuracy of negative (e.g., holes) and positive (e.g., pillars) features of varying sizes (0.45 mm). Results showed that feature size influences accuracy, with longer exposure times improving interlayer bonding but reducing resolution. Photocuring behavior aligned with the UV absorption spectra of photoinitiators and dyes. Increasing photoinitiator concentration led to higher lateral light penetration ( S w ) but lower depth penetration ( D p ), while increasing dye concentration resulted in reduced S w and D p . The findings in this study enhance the understanding of ceramic VPP, reinforcing its potential for industrial applications that require high dimensional accuracy. • Higher photoinitiator amounts increase width sensitivity but reduce depth sensitivity • Increased dye amounts reduce depth and width sensitivity as well as broadening depth • Slower peel-off speeds improve accuracy for printing fine and delicate structures • Resins with low broadening depth and rates exhibit superior dimensional accuracy • Feature size strongly influences the achievable dimensional accuracy in printing

Open CeramicsVol. 22
Tampere University of Applied Sciences (FI), Tampere University (FI)
Openalex Percentile: Top 21%
Additive Manufacturing and 3D Printing Technologies
1.37
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