Numerical Simulation of Cranial Distractor Components Using Passive and Generative Design

Juan Alfonso Beltrán-Fernández, Erik Omar Alvarado-Alcántara, Juan Carlos Hermida-Ochoa, Edgar Alfonso Figueroa-Rodríguez, Alejandro David González-Peña, José Enrique Rodríguez-Miramar, Luis Héctor Hernández-Gómez, Pablo Moreno-Garibaldi, Juan Luis Cuevas Andrade

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Today, assisted design software offers more capacity and iterations, and its methodology optimally solves geometries with enough rigidity and weight, keeping their specific characteristics desirable for some design objectives, and thus achieving originality, affordable functionality and reproducibility through manufacturing systems such as three-dimensional manufacturing. For this reason, the present study uses a computerized generative design method to optimize the main components of a cranial distraction system aiming to perform a geometric optimization of the original components and preserving the actual mechanical performance in spite of reducing the weight of the distractor components. By the use of commercial software packages such as PTC Creo Parametric

Original languageEnglish
Title of host publicationAdvanced Structured Materials
PublisherSpringer Science and Business Media Deutschland GmbH
Pages163-180
Number of pages18
DOIs
StatePublished - 2021

Publication series

NameAdvanced Structured Materials
Volume146
ISSN (Print)1869-8433
ISSN (Electronic)1869-8441

Keywords

  • Additive impression
  • Additive manufacturing
  • Cranial
  • Distractor
  • Generative design
  • Optimization

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