Journal
ANNALS OF BIOMEDICAL ENGINEERING
Volume 49, Issue 1, Pages 322-333Publisher
SPRINGER
DOI: 10.1007/s10439-020-02555-4
Keywords
Wear prediction; Total knee replacement; Cross-shear ratio; Finite element method
Categories
Funding
- JSPS KAKENHI [20K20162]
- Grants-in-Aid for Scientific Research [20K20162] Funding Source: KAKEN
Ask authors/readers for more resources
The study developed an in silico polyethylene wear simulation for total knee replacements, showing good predicted accuracy and revealing relatively larger wear loss under loading conditions compared to walking. The squatting movement produced the highest overall wear rate, and more wear was found on the medial side knee prosthesis than the lateral side. The enhanced in silico polyethylene wear simulator provides an accurate and comprehensive tool for wear prediction in preclinical wear testing.
A computational wear simulator is an efficient tool for evaluating the wear of artificial knee joints. The classical Archard's wear law-based simulator has questionable accuracy and is focused on walking. In this study, an in silico polyethylene wear simulation of total knee replacements was developed considering the various highly demanding daily activities. A good predicted accuracy (error = 8.1%) was found through comparison of the experimental results. A relatively larger averaged wear loss was found under the loading condition (1.53 mg/mc) of daily activities compared with the walking condition (1.32 mg/mc). The squatting movement (2.57 mg/mc) produces the highest overall wear rate. In addition, a relatively larger amount of wear was found on the medial side knee prosthesis than that on the lateral side. The enhanced in silico polyethylene wear simulator provides an accurate and comprehensive tool for wear prediction in preclinical wear testing.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available