Parametric Modeling of Biomimetic Cortical Bone Microstructure for Additive Manufacturing

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This articles presents a novel algorithm for generating in-silico biomimetic models of a cortical bone microstructure towards manufacturing biomimetic bone via additive manufacturing. The software provides a tool for physicians or biomedical engineers to develop models of cortical bone that include the inherent complexity of the microstructure.

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16 p.

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Robles Linares-Alvelais, José; Ramírez-Cedillo, Erick; Siller Carrillo, Héctor Rafael; Rodríguez, Ciro A. & Martínez-López, J. Israel March 19, 2019.

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This articles presents a novel algorithm for generating in-silico biomimetic models of a
cortical bone microstructure towards manufacturing biomimetic bone via additive manufacturing.
The software provides a tool for physicians or biomedical engineers to develop models of cortical
bone that include the inherent complexity of the microstructure.

Physical Description

16 p.

Notes

Abstract: In this work we present a novel algorithm for generating in-silico biomimetic models of a
cortical bone microstructure towards manufacturing biomimetic bone via additive manufacturing.
The software provides a tool for physicians or biomedical engineers to develop models of cortical
bone that include the inherent complexity of the microstructure. The correspondence of the produced
virtual prototypes with natural bone tissue was assessed experimentally employing Digital Light
Processing (DLP) of a thermoset polymer resin to recreate healthy and osteoporotic bone tissue
microstructure. The proposed tool was successfully implemented to develop cortical bone structure
based on osteon density, cement line thickness, and the Haversian and Volkmann channels to
produce a user-designated bone porosity that matches within values reported from literature for
these types of tissues. Characterization of the specimens using a Scanning Electron Microscopy with
Focused Ion Beam (SEM/FIB) and Computer Tomography (CT) revealed that the manufacturability
of intricated virtual prototype is possible for scaled-up versions of the tissue. Modeling based on
the density, inclination and size range of the osteon and Haversian and Volkmann´s canals granted
the development of a dynamic in-silico porosity (13.37–21.49%) that matches with models of healthy
and osteoporotic bone. Correspondence of the designed porosity with the manufactured assessment
(5.79–16.16%) shows that the introduced methodology is a step towards the development of more
refined and lifelike porous structures such as cortical bone. Further research is required for validation
of the proposed methodology model of the real bone tissue and as a patient-specific customization
tool of synthetic bone.

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  • Materials, 12(6), MDPI, March 19, 2019, pp. 1-16

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Publication Information

  • Publication Title: Parametric Modeling of Biomimetic Cortical Bone Microstructure for Additive Manufacturing
  • Volume: 12
  • Issue: 6
  • Peer Reviewed: Yes

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UNT Scholarly Works

Materials from the UNT community's research, creative, and scholarly activities and UNT's Open Access Repository. Access to some items in this collection may be restricted.

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Submitted Date

  • February 21, 2019

Accepted Date

  • March 15, 2019

Creation Date

  • March 19, 2019

Added to The UNT Digital Library

  • March 3, 2020, 10:24 p.m.

Description Last Updated

  • Dec. 12, 2023, 1:37 p.m.

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Robles Linares-Alvelais, José; Ramírez-Cedillo, Erick; Siller Carrillo, Héctor Rafael; Rodríguez, Ciro A. & Martínez-López, J. Israel. Parametric Modeling of Biomimetic Cortical Bone Microstructure for Additive Manufacturing, article, March 19, 2019; Basel, Switzerland. (https://digital.library.unt.edu/ark:/67531/metadc1616544/: accessed February 27, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT College of Engineering.

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