3D printed guides for controlled alignment in biomechanics tests

Abstract The bone-machine interface is a vital first step for biomechanical testing. It remains challenging to restore the original alignment of the specimen with respect to the test setup. To overcome this issue, we developed a methodology based on virtual planning and 3D printing. In this paper, t...

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Bibliographic Details
Published in:Journal of biomechanics 2016-02, Vol.49 (3), p.484-487
Main Authors: Verstraete, Matthias A, Willemot, Laurent, Van Onsem, Stefaan, Stevens, Cyriëlle, Arnout, Nele, Victor, Jan
Format: Article
Language:English
Subjects:
3D printing
Accuracy
Aged
Alignment
Ankle
Biomechanical Phenomena
Biomechanics
Bone-machine interface
Boundary conditions
Cadaver
Computer Simulation
Consistency
Equipment Design
Female
Femur - physiology
Finite element analysis
Humans
Kinematics
Knee
Knee - physiology
Knee Joint - physiology
Knee simulator
Knees
Male
Methodology
Physical Medicine and Rehabilitation
Printing, Three-Dimensional
Reproducibility of Results
Simulation
Software
Tibia - physiology
Virtual planning
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Summary:Abstract The bone-machine interface is a vital first step for biomechanical testing. It remains challenging to restore the original alignment of the specimen with respect to the test setup. To overcome this issue, we developed a methodology based on virtual planning and 3D printing. In this paper, the methodology is outlined and a proof of concept is presented based on a series of cadaveric tests performed on our knee simulator. The tests described in this paper reached an accuracy within 3–4° and 3–4 mm with respect to the virtual planning. It is however the authors׳ belief that the method has the potential to achieve an accuracy within one degree and one millimeter. Therefore, this approach can aid in reducing the imprecisions in biomechanical tests (e.g. knee simulator tests for evaluating knee kinematics) and improve the consistency of the bone-machine interface.
ISSN:0021-9290
1873-2380
DOI:10.1016/j.jbiomech.2015.12.036