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Density-Based Topology Optimization for a Defined External State of Stress in Individualized Endoprosthesis

  • Patrik Müller*
  • , Paul Christoph Gembarski
  • , Roland Johann Lachmayer
    • *Corresponding author for this work

Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

Abstract

Endoprosthesis are exposed to the risk of aseptic loosening. The design of the prosthesis shaft to achieve physiological force application is therefore of great importance. Additive manufacturing offers the potential to fabricate highly variable topologies, but challenges the designer with a large number of design variables. In this work, a method is developed to determine an optimized density topology that approximates a given mechanical stress state in the bone after implantation. For this purpose, a topology optimization of the density distribution of the implant is performed.
Original languageEnglish
Title of host publicationINTERNATIONAL DESIGN Proceedings of the Design Society – DESIGN 2022
Pages533-542
Number of pages10
Volume2
DOIs
Publication statusPublished - 22 May 2022

Publication series

NameProceedings of the Design Society
ISSN (Print)2732-527X

Keywords

  • healthcare design
  • additive manufacturing
  • topological optimisation
  • effect engineering
  • individualised hip endoprosthesis

ASJC Scopus subject areas

  • Software
  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design
  • Modelling and Simulation

Access to Document

Other files and links

  • SAM: School for Additive Manufacturing – Sensoren und Aktoren durch Additive Fertigung von gradierten Bauteilen - Ein zentraler Schritt für die Realisierung der digitalen Transformation

    Maier, H. J. (Principal Investigator), Lachmayer, R. J. (Principal Investigator), Ahlers, H. (Co-applicant), Bigall, N.-C. (Co-applicant), Ehlers, H. (Co-Investigator), Fuchs, M. (Co-Investigator), Gembarski, P. C. (Co-Investigator), Hassel, T. (Co-Investigator), Lammers, M. (Co-Investigator), Kabelac, S. (Co-applicant), Klawitter, G. (Co-applicant), Klose, C. (Co-Investigator), Mozgova, I. (Co-applicant), Nürnberger, F. (Co-applicant), Renz, F. (Co-applicant), Ristau, D. (Co-applicant), Vietor, T. (Co-applicant), Watschke, H. (Co-Investigator), Waldt, N. (Co-applicant), Weißenfels, C. (Co-Investigator), Wesling, V. (Co-applicant), Wiche, H. (Co-Investigator), Wolf, A. G. (Co-Investigator), Wollweber, M. (Co-applicant), Wriggers, P. (Co-applicant), Jensen, L. (Co-Investigator), Schwarz, N. (Project staff), Eckert, G. (Project staff), Kahlfeld, R. (Project staff), Müller, P. (Project staff), Goutier, M. J. (Project staff), Gräbner, M. (Project staff), Hill, B. O. (Project staff), Tang, X. (Project staff), Steinhoff, T. (Project staff), Hölscher, L. V. (Project staff), Wurst-Köster, J. (Project staff), Ziebehl, A. (Project staff) & Meyer, I. (Project staff)

    1 Oct 2019 → 30 Sept 2024

    Project: Research

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