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Automated Design of Customized 3D-Printed Wrist Orthoses on the Basis of 3D Scanning

Part of the Mechanisms and Machine Science book series (Mechan. Machine Science,volume 75)

Abstract

The paper presents development and studies of an intelligent CAD (Computer Aided Design) model of an openwork wrist orthosis. The key feature is customization capability on the basis of shape and size of patient’s hand and arm. A patient is first 3D scanned using a cheap structured light scanner. Then, the gathered anthropometric data is used as a base for automated adjustment of geometry of an intelligent model of a wrist orthosis. Finally, the orthosis can be 3D printed using low-cost machines. Automation of design eliminates a need of manual processing of 3D scans and 3D models, as the model automatically adjusts itself to patient’s data and is ready for manufacturing. The paper presents basic concepts, development and studies on such a model. The studies comprised of collision analysis between an automatically generated orthosis and patient’s own hand and arm, as well as manufacturing examples of orthoses and fitting them to real patient’s hand. The results are generally positive, but further development is required to obtain optimal results for great majority of patients.

Keywords

  • 3D printing
  • Wrist orthosis
  • 3D scanning
  • Automated design

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  • DOI: 10.1007/978-3-030-27053-7_97
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Acknowledgements

The studies were realized with a support from Polish National Center for Research and Development, in the scope of the “LIDER” program (grant agreement no. LIDER/14/0078/L-8/16/NCBR/2017).

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Correspondence to Filip Górski .

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Górski, F. et al. (2020). Automated Design of Customized 3D-Printed Wrist Orthoses on the Basis of 3D Scanning. In: Okada, H., Atluri, S. (eds) Computational and Experimental Simulations in Engineering. ICCES 2019. Mechanisms and Machine Science, vol 75. Springer, Cham. https://doi.org/10.1007/978-3-030-27053-7_97

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  • DOI: https://doi.org/10.1007/978-3-030-27053-7_97

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-27052-0

  • Online ISBN: 978-3-030-27053-7

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