Enhanced shear bond strength of ceramic orthodontic brackets with laser surface texturing

The insufficient bond strength between a rigid ceramic bracket and an enamel leads to bracket detachment and orthodontic treatment failure. In this work, a laser-based engineering route with high controllability, high efficiency, and low cost is applied to texture ceramic brackets with surface microstructures to introduce mechanical retention for improved bonding between ceramic brackets and enamels. The influence of the structural features of surface microstructure on the shear bond strength (SBS) of laser-textured ceramic brackets with enamels is systematically studied. The maximum SBS value of 575 ± 25.16 N is obtained for a ceramic bracket that is textured with a surface grid pattern that has a grid size of 80 μm and a groove depth of 37 μm. This SBS value is about four times higher than an untreated bracket. A bracket-resin-enamel model is established to theoretically understand the stress distribution and mechanical behavior of the system under a shear load. The theoretical simulation results evidence concentrated stress at the groove area, suggesting the formation of mechanical retention. The development of a laser surface texturing method to improve the bonding strength of ceramic brackets could promote the bonding reliability of ceramic brackets in orthodontic treatment.

Authors

Institutions

Publication Details

Journal
Journal of Laser Applications
Published
2025-03-24
DOI
https://doi.org/10.2351/7.0001708
Primary Topic
Dental materials and restorations
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enhanced shear bond strength of ceramic orthodontic brackets with laser surface texturing

Lisha Fan, Huaping Wu, Szymon Tofil, Xiaoyu Ding et al.
Journal of Laser Applications
Dental materials and restorations
article

Enhanced shear bond strength of ceramic orthodontic brackets with laser surface texturing

Lisha Fan, Huaping Wu, Szymon Tofil, Xiaoyu Ding, Ling Wu, Shuowen Zhang, Jianhua Yao, Tianzhen Zhao, T Sun
article en

Abstract

The insufficient bond strength between a rigid ceramic bracket and an enamel leads to bracket detachment and orthodontic treatment failure. In this work, a laser-based engineering route with high controllability, high efficiency, and low cost is applied to texture ceramic brackets with surface microstructures to introduce mechanical retention for improved bonding between ceramic brackets and enamels. The influence of the structural features of surface microstructure on the shear bond strength (SBS) of laser-textured ceramic brackets with enamels is systematically studied. The maximum SBS value of 575 ± 25.16 N is obtained for a ceramic bracket that is textured with a surface grid pattern that has a grid size of 80 μm and a groove depth of 37 μm. This SBS value is about four times higher than an untreated bracket. A bracket-resin-enamel model is established to theoretically understand the stress distribution and mechanical behavior of the system under a shear load. The theoretical simulation results evidence concentrated stress at the groove area, suggesting the formation of mechanical retention. The development of a laser surface texturing method to improve the bonding strength of ceramic brackets could promote the bonding reliability of ceramic brackets in orthodontic treatment.

Journal of Laser ApplicationsVol. 37(2)
Kielce University of Technology (PL), Advanced Laser Technology (United Kingdom) (GB), Zhejiang University of Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 94%
Dental materials and restorations
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.