Advancements in additive manufacturing (AM) techniques have revolutionized dentistry, enabling the fabrication of intricate dental prostheses and models with high precision. Material jetting technology, known for its ability to produce detailed and complex structures, has gained prominence in the dental industry. This study focuses on the distortion analysis of soft gingiva masks and dental implant models fabricated using material jetting technology, to assess the accuracy and quality of these critical components in prosthodontics and implantology. The research methodology involves the selection of a diverse set of dental implant models and soft gingiva masks, representing various clinical applications. These models are designed using computer-aided design (CAD) software and subsequently 3D printed by material jetting technology. The fabrication process parameters are meticulously controlled to ensure consistency and repeatability. Post-printing, the dimensional accuracy and distortion of the printed components are assessed through a combination of digital measurements, 3D scanning, and comparative analysis with the original CAD designs. Preliminary findings reveal that material jetting technology offers a high level of accuracy and detail reproduction in the fabricated models. The results of this study provide valuable insights for both dental practitioners and manufacturers to improve the accuracy and reliability of 3D-printed dental prostheses and models.

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Distortion Analysis of Dental Models Printed Using Material Jetting Technology

  • Madhanagopal Manoharan,
  • Gobi Saravanan Kaliaraj,
  • Palanikumar Ponnusamy,
  • Aruna Veerasamy,
  • S. Kathiravan

摘要

Advancements in additive manufacturing (AM) techniques have revolutionized dentistry, enabling the fabrication of intricate dental prostheses and models with high precision. Material jetting technology, known for its ability to produce detailed and complex structures, has gained prominence in the dental industry. This study focuses on the distortion analysis of soft gingiva masks and dental implant models fabricated using material jetting technology, to assess the accuracy and quality of these critical components in prosthodontics and implantology. The research methodology involves the selection of a diverse set of dental implant models and soft gingiva masks, representing various clinical applications. These models are designed using computer-aided design (CAD) software and subsequently 3D printed by material jetting technology. The fabrication process parameters are meticulously controlled to ensure consistency and repeatability. Post-printing, the dimensional accuracy and distortion of the printed components are assessed through a combination of digital measurements, 3D scanning, and comparative analysis with the original CAD designs. Preliminary findings reveal that material jetting technology offers a high level of accuracy and detail reproduction in the fabricated models. The results of this study provide valuable insights for both dental practitioners and manufacturers to improve the accuracy and reliability of 3D-printed dental prostheses and models.