Literature DB >> 28482595

In silico modeling of structural and porosity properties of additive manufactured implants for regenerative medicine.

Ronny Brünler1, Dilbar Aibibu2, Michael Wöltje2, Anna-Maria Anthofer2, Chokri Cherif2.   

Abstract

Additive manufacturing technologies are a promising technology towards patient-specific implants for applications in regenerative medicine. The Net-Shape-Nonwoven technology is used to manufacture structures from short fibers with interconnected pores and large functional surfaces that are predestined for cell adhesion and growth. The present study reports on a modeling approach with a particular focus on the specific structural properties. The overall porosities and mean pore-sizes of the digital models are simulated according to liquid-displacement porosity in a tool implemented in the modeling software. This allows adjusting the process parameters fiber length and fiber diameter to generate biomimetic structures with pore-sizes adapted to the requirements of the tissue that is to be replaced. Modeling the structural and porosity properties of scaffolds and implants leads to an efficient use of the processed biomaterials as the trial-and-error method is avoided.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Additive manufacturing; Fiber-based; Implant; Modeling; Pore-size; Scaffold

Mesh:

Substances:

Year:  2017        PMID: 28482595     DOI: 10.1016/j.msec.2017.03.105

Source DB:  PubMed          Journal:  Mater Sci Eng C Mater Biol Appl        ISSN: 0928-4931            Impact factor:   7.328


  2 in total

1.  Design of Complexly Graded Structures inside Three-Dimensional Surface Models by Assigning Volumetric Structures.

Authors:  Ronny Brünler; Robert Hausmann; Maximilian von Münchow; Dilbar Aibibu; Chokri Cherif
Journal:  J Healthc Eng       Date:  2019-02-05       Impact factor: 2.682

2.  Silk Fiber-Reinforced Hyaluronic Acid-Based Hydrogel for Cartilage Tissue Engineering.

Authors:  Jan-Tobias Weitkamp; Michael Wöltje; Bastian Nußpickel; Felix N Schmidt; Dilbar Aibibu; Andreas Bayer; David Eglin; Angela R Armiento; Philipp Arnold; Chokri Cherif; Ralph Lucius; Ralf Smeets; Bodo Kurz; Peter Behrendt
Journal:  Int J Mol Sci       Date:  2021-03-31       Impact factor: 5.923

  2 in total

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