Issue |
E3S Web Conf.
Volume 430, 2023
15th International Conference on Materials Processing and Characterization (ICMPC 2023)
|
|
---|---|---|
Article Number | 01275 | |
Number of page(s) | 13 | |
DOI | https://doi.org/10.1051/e3sconf/202343001275 | |
Published online | 06 October 2023 |
Trends in characterization and analysis of TKA implants for 3D printing
Department of Mechanical Engineering, VNR Vignana Jyothi Institute of Engineering & Technology, Hyderabad, Telangana, India
* Corresponding author: shivrajyeole@vnrvjiet.in
In almost every country, knee joint problems are common among humans. As per American Academy of Orthopedic Surgeons, it is estimated that 3.5 million individuals in the world will undergo knee replacement surgery by 2030. People with advanced rheumatoid arthritis, or long-standing osteoarthritis are usually affected by this deformity due to changes in lifestyle. These conditions mainly affect middle-aged and elderly individuals with osteoarthritis or severe knee injuries. These problems can be overcome with the help of total knee implants by undergoing surgical procedures for providing relaxation & comfort to the knee joint. These procedures are also known as total knee arthroplasty (TKA). TKA is an ancient surgical process employed for treating intracapsular knee joint arthritis. It is promising technique greatly augmenting a patient’s standard of life. The main components of TKA are femoral and tibial components, spacer, and patellar components respectively. Materials often used in these components include titanium, Ti6Al4V, cobalt-chromium alloys, polyethylene and bio compatible materials. 3D printing of TKA implants is a recent avenue being explored by researchers in an attempt to develop a better replacement for the conventional implants for providing comfort to the patients. This paper presents thorough assessment of research trends in mechanical characterization and finite element analysis of knee joint prosthetics, especially TKA implants for 3D printing.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.