Application of a finite element method to predict fatigue life of the knee mobile bearing

E. L., Sin Jian and Daud, Rosdi and H. M., Ayu and Yusoff, M. H. and Jamiluddin, J. and Shah, A. (2019) Application of a finite element method to predict fatigue life of the knee mobile bearing. In: 1st International Postgraduate Conference on Mechanical Engineering (IPCME2018), 31 October 2018, Pahang, Malaysia.


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Knee Arthroplasty is a surgical procedure where the patient’s knee is replace by prosthesis. By using the finite element analysis method, we can properly estimate the life span of the prosthesis and also the polymer mobile bearing between the prosthesis itself. Most of the prosthesis have a long lifespan but not for the polymer mobile bearing. Having only average of 2.5 years lifespan, it is a hustle for the patient to come back every 2.5 years to replace a new polymer especially for the elderlies. This research is made to investigate and predict the fatigue life of the polymer mobile bearing via finite element method and thus to design a newly improved prosthesis model based on the commercially available. In this research, three different designs were made based on the currently available mobile-bearing design. Each of the design will undergoes different value of forces depending on three different of gait cycles which are walking, ascending from the stairs as well as rising from squatting. Based on the fatigue life prediction using finite element method, the proposed design (design 2) obtained the highest lifespan ranging from 1.0 x 10^6 to 1.2 x 10^6cycle and it is increase almost 50% of the commercially available design life cycle (8 x 10^5 cycle). Thus, it is can be concluded that the finite element method can be used to predict life cycle of the mobile bearing successfully and can be used as a guided to propose an improved design of the prosthesis.

Item Type: Conference or Workshop Item (Paper)
Subjects: T Technology > T Technology (General)
Divisions: Others Institution
Depositing User: Mr. Abdul Rahim Mat Radzuan
Date Deposited: 12 Jul 2022 01:46
Last Modified: 12 Jul 2022 01:46

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