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Correction: Bignotti et al. Class II Malocclusion Correction Using "Distalizing Bar Appliances" and Clear Aligners: A Case Series and Clinical Technique. <i>Dent. J.</i> 2026, <i>14</i>, 334.

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

Shih-Hao Huang1, I-Chiang Chou2,3, Mayur Jiyalal Prajapati4

  • 1Graduate Institute of Manufacturing Technology, National Taipei University of Technology, Taipei City 10608, Taiwan.

Dentistry Journal
|October 28, 2025
PubMed
Summary
This summary is machine-generated.

This study presents a digital workflow for clear aligner manufacturing using 3D printing and simulations. This approach enhances aligner accuracy and predictability, reducing the need for adjustments in orthodontic treatments.

Keywords:
Polyflowadditive manufacturingdentistrydigital dental modelfinite element analysisthermoforming

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Area of Science:

  • Biomaterials Engineering
  • Orthodontic Technology
  • Digital Dentistry

Background:

  • Clear aligner therapy is a popular alternative to fixed orthodontics.
  • Variability in thermoforming and digital workflow validation hinder reproducibility.
  • Lack of standardized digital workflows limits clear aligner predictability.

Purpose of the Study:

  • To develop and validate a digital workflow for clear aligner manufacturing.
  • To integrate additive manufacturing (AM), thermoforming simulation, and finite element analysis (FEA).
  • To enhance the accuracy and predictability of clear aligner therapy.

Main Methods:

  • 3D printing of dental models.
  • Thermoforming simulation and experimental validation using PETG sheets (0.5 and 0.75 mm).
  • Finite element analysis (FEA) for stress distribution and geometric accuracy assessment using CloudCompare v2.13.0.

Main Results:

  • Positive-pressure thermoforming significantly reduced geometric deviations (1.06 mm to 0.4 mm).
  • Thickness simulations showed good agreement with experimental data (<10% error).
  • FEA confirmed localized force transmission at the aligner-attachment interface.

Conclusions:

  • The proposed digital workflow enhances clear aligner consistency and accuracy.
  • Simulation-guided design and controlled thermoforming improve treatment predictability.
  • This framework can reduce the need for manual adjustments in orthodontic treatments.