Proof-of-Concept Digital-Physical Workflow for Clear Aligner Manufacturing

<b>Background/Objectives</b>: Clear aligner therapy has become a mainstream alternative to fixed orthodontics due to its versatility. However, the variability in thermoforming and the limited validation of digital workflows remain major barriers to reproducibility and predictability. <b>Methods</b>: This study addresses that gap by presenting a proof-of-concept digital workflow for clear aligner manufacturing by integrating additive manufacturing (AM), thermoforming simulation, and finite element analysis (FEA). Dental models were 3D-printed and thermoformed under clinically relevant pressures (400 kPa positive and -90 kPa negative). <b>Results and Discussion</b>: Geometric accuracy was quantified using CloudCompare v2.13.0, showing that positive-pressure thermoforming reduced maximum deviations from 1.06 mm to 0.4 mm, with all deviations exceeding the expanded measurement uncertainty. Thickness simulations of PETG sheets (0.5 and 0.75 mm) showed good agreement with experimental values across seven validation points, with errors <10% and overlapping 95% confidence intervals. Stress analysis indicated that force transmission was localized at the aligner-attachment interface, consistent with expected orthodontic mechanics. <b>Conclusions</b>: By quantifying accuracy and mechanical behavior through numerical and experimental validation, this framework demonstrates how controlled thermoforming and simulation-guided design can enhance aligner consistency, reduce adjustments, and improve treatment predictability.

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Publication Details

Journal
Dentistry Journal
Published
2025-10-02
DOI
https://doi.org/10.3390/dj13100454
Primary Topic
Manufacturing Process and Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

Proof-of-Concept Digital-Physical Workflow for Clear Aligner Manufacturing

Po-Kai Le, Cho‐Pei Jiang, Yu‐Hsiang Wang, Mayur Jiyalal Prajapati et al.
Dentistry Journal
Manufacturing Process and Optimization
article

Proof-of-Concept Digital-Physical Workflow for Clear Aligner Manufacturing

Po-Kai Le, Cho‐Pei Jiang, Yu‐Hsiang Wang, Mayur Jiyalal Prajapati, Shih‐Chia Huang, I‐Chiang Chou
article en

Abstract

<b>Background/Objectives</b>: Clear aligner therapy has become a mainstream alternative to fixed orthodontics due to its versatility. However, the variability in thermoforming and the limited validation of digital workflows remain major barriers to reproducibility and predictability. <b>Methods</b>: This study addresses that gap by presenting a proof-of-concept digital workflow for clear aligner manufacturing by integrating additive manufacturing (AM), thermoforming simulation, and finite element analysis (FEA). Dental models were 3D-printed and thermoformed under clinically relevant pressures (400 kPa positive and -90 kPa negative). <b>Results and Discussion</b>: Geometric accuracy was quantified using CloudCompare v2.13.0, showing that positive-pressure thermoforming reduced maximum deviations from 1.06 mm to 0.4 mm, with all deviations exceeding the expanded measurement uncertainty. Thickness simulations of PETG sheets (0.5 and 0.75 mm) showed good agreement with experimental values across seven validation points, with errors <10% and overlapping 95% confidence intervals. Stress analysis indicated that force transmission was localized at the aligner-attachment interface, consistent with expected orthodontic mechanics. <b>Conclusions</b>: By quantifying accuracy and mechanical behavior through numerical and experimental validation, this framework demonstrates how controlled thermoforming and simulation-guided design can enhance aligner consistency, reduce adjustments, and improve treatment predictability.

Dentistry JournalVol. 13(10)
National Taipei University of Technology (TW), National Yang Ming Chiao Tung University (TW), Taipei Municipal YangMing Hospital (TW), Taipei City Hospital (TW), National Taipei University of Education (TW)
National Science and Technology Council
Openalex Percentile: Top 61%
Manufacturing Process and Optimization
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