Probabilistic finite element prediction of knee wear simulator mechanics
โ Scribed by Peter J. Laz; Saikat Pal; Jason P. Halloran; Anthony J. Petrella; Paul J. Rullkoetter
- Book ID
- 108159375
- Publisher
- Elsevier Science
- Year
- 2006
- Tongue
- English
- Weight
- 375 KB
- Volume
- 39
- Category
- Article
- ISSN
- 0021-9290
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
Experimental testing is widely used to predict wear of total knee replacement (TKR) devices. Computational models cannot replace this essential in vitro testing, but they do have complementary strengths and capabilities, which make in silico models a valuable support tool for experimental wear inves
Inherent variability in total knee arthroplasty loading and alignment, present in vivo and in simulator testing, may ultimately influence polyethylene tibial insert wear and long-term performance. The effect of this variability was quantified on implant kinematics and contact mechanics during simula