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Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures
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Additive CAD/CAM process for dental prostheses.

Nelson R F A Silva1, Lukasz Witek, Paulo G Coelho

  • 1Department of Prosthodontics, New York University College of Dentistry, New York, NY 10010, USA. nrd1@nyu.edu

Journal of Prosthodontics : Official Journal of the American College of Prosthodontists
|June 22, 2010
PubMed
Summary
This summary is machine-generated.

Robocasting, a computer-aided design/computer-aided manufacturing (CAD/CAM) technique, builds dental restorations layer-by-layer using ceramic paste. Key challenges include material development and printing complex geometries for improved dental prosthetics.

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Area of Science:

  • Biomaterials Engineering
  • Additive Manufacturing
  • Dental Materials Science

Background:

  • Computer-aided design/computer-aided manufacturing (CAD/CAM) processes are evolving for dental restorations.
  • Robocasting, a layer-by-layer ceramic paste deposition technique, is used for core and fixed partial denture (FPD) structures.

Purpose of the Study:

  • To describe the evolution of the robocasting process for dental applications.
  • To identify challenges and areas for improvement in ceramic crown printing via robocasting.

Main Methods:

  • Ceramic paste (Al(2)O(3) or ZrO(2)) blended with aqueous ammonium polyacrylate, viscosifying agent, and counter polyelectrolyte.
  • Two robocasting methods for crown structures: direct printing of zirconia or co-deposition with fugitive carbon black material.
  • Stereolithography (STL) file manipulation for printing without support materials.

Main Results:

  • Successful layer-by-layer fabrication of ceramic structures using computer numerical control (CNC) machines.
  • Demonstration of two distinct methods for robocasting crown structures.
  • Identification of material suitability and printing pattern design as key challenges.

Conclusions:

  • Robocasting shows potential for fabricating complex dental restorations.
  • Further development is needed in automated nozzle alignment and occlusal surface fidelity.
  • Optimization of support structures is crucial for geometric accuracy and material efficiency.