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© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

The modeling efficiency, matching, and biocompatibility are key factors affecting the surgical success of a personalized thyroid cartilage prosthesis. We performed three-dimensional reconstruction of a thyroid cartilage prosthesis by combining reverse and forward methods, and then completed the prosthesis design with total or partial resection using a parametric modeling method. Direct manufacturing was performed using selective laser melting (SLM) molding equipment and TC4 material. The structure of the completed implant unit was optimized. The results show good modeling effects for the thyroid cartilage prosthesis with either total or partial resection by the parametric modeling method. Good matching performance was achieved, with overlap suspension between the pillars that meets the requirements of SLM manufacturing. Additionally, the use of SLM molding to produce the thyroid cartilage prosthesis resulted in less powder adhesion on the surface and no obvious nodulation between the porous pillars, allowing the direct use of the prothesis after simple post-treatment. Overall, these results should facilitate the direct application of personalized implants.

Details

Title
Design and Molding of Thyroid Cartilage Prosthesis Based on 3D Printing Technology
Author
Zhang, Guoqing 1   VIAFID ORCID Logo  ; Li, Junxin 1 ; Zhang, Chengguang 1 ; Wang, Anmin 2 

 School of Mechanical and Electrical Engineering, Zhoukou Normal University, Zhoukou 466000, China; [email protected] (J.L.); [email protected] (C.Z.) 
 School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou 510640, China; [email protected] 
First page
336
Publication year
2022
Publication date
2022
Publisher
MDPI AG
e-ISSN
20796412
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2642378727
Copyright
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.