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2D computational tresca stress prediction of CoCrMo-on- UHMWPE bearing of total hip prosthesis based on body mass index
Muhammad Imam Ammarullah1, Ilham Yustar Afif2, Mohamad Izzur Maula3, Tri Indah Winarni4, Mohammad Tauviqirrahman5, Athanasius Priharyoto Bayuseno6, Hasan Basri7, Ardiyansyah Syahrom8, J. Jamari9.
Introduction: Total hip prosthesis has become one of the important aspects of hip joint replacement surgery. The study about this implant to extent its lifetime is still limited on external factors of the patient that undergo replacement surgery. Besides, evaluating internal aspects also needs to be studied, there is users body weight. Methods: Recent paper presented regarding Tresca stress analysis for hip joint implant with 2D finite element study. The vertical load was taken into account with variation based on six categories of body mass index performed in normal walking condition. Results: We obtain that the stress magnitude of Tresca is linearly increasing with higher body mass index. Also, Tresca stress distribution will increase equal to body mass index category. Body mass index category III obesity has the highest probability of failure and underweight has the lowest probability of failure from the results of Tresca stress. Conclusion: The heavier implant user’s body weight is having greater failure probability based on Tresca stress prediction.
Affiliation:
- Diponegoro University, Tembalang 50275, Semarang, Central Java, Indonesia
- Diponegoro University, Tembalang 50275, Semarang, Central Java, Indonesia
- Diponegoro University, Tembalang 50275, Semarang, Central Java, Indonesia
- Diponegoro University, Tembalang 50275, Semarang, Central Java, Indonesia
- Diponegoro University, Tembalang 50275, Semarang, Central Java, Indonesia
- Sriwijaya University, Indralaya 30662, Ogan Ilir, South Sumatra, Indonesia
- Universiti Teknologi Malaysia, Skudai 81310, Johor Bahru, Malaysia
- Diponegoro University, Tembalang 50275, Semarang, Central Java, Indonesia
- Diponegoro University, Tembalang 50275, Semarang, Central Java, Indonesia
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Indexation |
Indexed by |
MyJurnal (2021) |
H-Index
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3 |
Immediacy Index
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0.000 |
Rank |
0 |
Indexed by |
Scopus 2020 |
Impact Factor
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CiteScore (0.2) |
Rank |
Q4 (Medicine (all)) |
Additional Information |
SJR (0.144) |
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