Numerical Simulation of Nickel–Titanium Memory Alloy Patellar Converters in Transverse Patellar Fractures and Its Guidance for Rehabilitation Training

To further refine rehabilitation protocols for transverse patellar fractures, this study conducted numerical simulations in Abaqus to investigate the interaction between a nickel–titanium shape-memory-alloy patellar concentrator and fractured patellar bone under variations in patellar loading, quadriceps muscle tension, knee-flexion angle, and fracture-site width. Lower knee-flexion angles primarily generated bending moments in the patellar concentrator, whereas greater flexion angles primarily generated tensile forces. Across the simulated knee-flexion range of 0–150°, the predicted quadriceps muscle force ranged from 240 to 670 N. Based on the simulated mechanical response, under the prescribed modeling assumptions, the 60–90° knee-flexion range showed a comparatively favorable balance between predicted fracture closure and implant loading. Comparison with previously published computational studies showed that the loading and angular conditions examined in this study were within the ranges reported in the literature, while extending the analysis to less frequently studied flexion conditions. However, because direct experimental validation, mesh-convergence testing, and comprehensive sensitivity analysis were not included, these values should be interpreted as model-based estimates requiring further experimental and clinical validation.

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Publication Details

Journal
Journal of Manufacturing and Materials Processing
Published
2026-09-16
DOI
https://doi.org/10.3390/jmmp10090358
Primary Topic
Lower Extremity Biomechanics and Pathologies
Type
article
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article

Numerical Simulation of Nickel–Titanium Memory Alloy Patellar Converters in Transverse Patellar Fractures and Its Guidance for Rehabilitation Training

戴网林, R. D. Karelin, В. С. Комаров, Dongqing Cai et al.
Journal of Manufacturing and Materials Processing
Lower Extremity Biomechanics and Pathologies
article

Numerical Simulation of Nickel–Titanium Memory Alloy Patellar Converters in Transverse Patellar Fractures and Its Guidance for Rehabilitation Training

戴网林, R. D. Karelin, В. С. Комаров, Dongqing Cai, Dongdong You, Wenkai Luo, Fenglei Li
article en

Abstract

To further refine rehabilitation protocols for transverse patellar fractures, this study conducted numerical simulations in Abaqus to investigate the interaction between a nickel–titanium shape-memory-alloy patellar concentrator and fractured patellar bone under variations in patellar loading, quadriceps muscle tension, knee-flexion angle, and fracture-site width. Lower knee-flexion angles primarily generated bending moments in the patellar concentrator, whereas greater flexion angles primarily generated tensile forces. Across the simulated knee-flexion range of 0–150°, the predicted quadriceps muscle force ranged from 240 to 670 N. Based on the simulated mechanical response, under the prescribed modeling assumptions, the 60–90° knee-flexion range showed a comparatively favorable balance between predicted fracture closure and implant loading. Comparison with previously published computational studies showed that the loading and angular conditions examined in this study were within the ranges reported in the literature, while extending the analysis to less frequently studied flexion conditions. However, because direct experimental validation, mesh-convergence testing, and comprehensive sensitivity analysis were not included, these values should be interpreted as model-based estimates requiring further experimental and clinical validation.

Journal of Manufacturing and Materials ProcessingVol. 10(9)
Baikov Institute of Metallurgy and Materials Science (RU), South China University of Technology (CN)
Good health and well-being
Openalex Percentile: Top 20%
Lower Extremity Biomechanics and Pathologies
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Numerical Simulation of Nickel–Titanium Memory Alloy Patellar Converters in Transverse Patellar Fractures and Its Guidance for Rehabilitation Training — 戴网林, R. D. Karelin, et al. · Journal of Manufacturing and Materials Processing (2026) | TGRS Research Map | TGRS