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© 2019 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 (http://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

Metals have been used for orthopedic implants for a long time due to their excellent mechanical properties. With the rapid development of additive manufacturing (AM) technology, studying customized implants with complex microstructures for patients has become a trend of various bone defect repair. A superior customized implant should have good biocompatibility and mechanical properties matching the defect bone. To meet the performance requirements of implants, this paper introduces the biomedical metallic materials currently applied to orthopedic implants from the design to manufacture, elaborates the structure design and surface modification of the orthopedic implant. By selecting the appropriate implant material and processing method, optimizing the implant structure and modifying the surface can ensure the performance requirements of the implant. Finally, this paper discusses the future development trend of the orthopedic implant.

Details

Title
Additive Manufacturing of Customized Metallic Orthopedic Implants: Materials, Structures, and Surface Modifications
Author
Long, Bai 1   VIAFID ORCID Logo  ; Gong, Cheng 1 ; Chen, Xiaohong 1 ; Sun, Yuanxi 1   VIAFID ORCID Logo  ; Zhang, Junfang 1 ; Cai, Lecai 2 ; Zhu, Shengyan 2 ; Sheng Quan Xie 3 

 State Key Laboratory of Mechanical Transmissions, Chongqing University, Chongqing 400044, China; [email protected] (C.G.); [email protected] (X.C.); [email protected] (Y.S.); [email protected] (J.Z.) 
 Sanjiang Research Institute of Artificial Intelligence and Robotics, Yibin University, Yibin 644000, China; [email protected] (L.C.); [email protected] (S.Z.); [email protected] (S.Q.X.) 
 Sanjiang Research Institute of Artificial Intelligence and Robotics, Yibin University, Yibin 644000, China; [email protected] (L.C.); [email protected] (S.Z.); [email protected] (S.Q.X.); School of Electronic and Electrical Engineering, University of Leeds, Leeds LS2 9JT, UK 
First page
1004
Publication year
2019
Publication date
2019
Publisher
MDPI AG
e-ISSN
20754701
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2548950653
Copyright
© 2019 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 (http://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.