Computer-based analysis of the taper connection strength of different revision head and adapter sleeve designs
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Johanna Meier
,
Jessica Hembus
,
Rainer Bader
Abstract
Objectives
Ceramic revision heads, equipped with titanium adapter sleeves, are used in femoral head revision in total hip arthroplasty to avoid ceramic fracture due to the damaged taper.
Methods
A finite element analysis of the taper connection strength of revision heads with varying head diameters combined with adapter sleeves of different lengths was conducted. The influence of various assembly forces, head diameter, and length of the adapter sleeves was evaluated. For two combinations, the pattern of contact pressure was evaluated when applying a simplified joint load (3 kN, 45° load angle). Experimental validation was conducted with 36 mm heads and adapter sleeves in size S, as well as 28 mm heads and adapter sleeves in size XL.
Results
The pull-off force increased with higher assembly forces. Using larger head diameters and adapter sleeves led to decreased pull-off forces, a reduced contact surface, and less contact pressure. The contact pressure showed significant peaks and a diagonal pattern under 45° angle loading when assembly forces were less than 4 kN, and larger adapter sleeves were utilized.
Conclusion
A sufficient assembly force should be ensured intraoperatively, especially with an increasing head diameter and adapter sleeve size, as lower assembly forces might lead to reduced taper connection strength.
Funding source: Bundesministerium für Bildung und Forschung
Award Identifier / Grant number: FKZ: 03ZZ1027K
Acknowledgments
The authors thank the Mathys Orthopädie GmbH (Mörsdorf, Germany) and Aristotech GmbH (Luckenwalde, Germany) for providing implant specimens and geometric data of the implants analysed. They also thank Mario Jackszis for assisting the experimental tests.
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Informed consent: “Not applicable”.
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Ethical approval: “Not applicable”.
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Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.
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Competing interests: The authors declare that there is no conflict of interest regarding the publication of this paper.
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Research funding: The authors kindly thank the Federal Ministry of Education and Research (BMBF) for granting this research project (BMBF FKZ: 03ZZ1027K).
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Articles in the same Issue
- Frontmatter
- Review
- Epileptic EEG patterns recognition through machine learning techniques and relevant time–frequency features
- Research Articles
- Hybrid optimization assisted channel selection of EEG for deep learning model-based classification of motor imagery task
- Development of audio-guided deep breathing and auditory Go/No-Go task on evaluating its impact on the wellness of young adults: a pilot study
- Detection of driver drowsiness level using a hybrid learning model based on ECG signals
- A portable household detection system based on the combination of bidirectional LSTM and residual block for automatical arrhythmia detection
- Probabilistic hierarchical clustering based identification and segmentation of brain tumors in magnetic resonance imaging
- Biomechanical comparison of three fixation strategies for radial head fractures: a biomechanical study
- Computer-based analysis of the taper connection strength of different revision head and adapter sleeve designs
- CT-based evaluation of tissue expansion in cryoablation of ex vivo kidney
