Effectively applying database and fractals to bionic design of artificial bone scaffold

Yan'en Wang, Yuebo Wang, Mingming Yang, Feilong Pan, Xinpei Li, Shengmin Wei

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

The lack of knowledge representation for the microstructure of the bone scaffold restricts the reliable bionic design of artificial bone scaffold and restricts its guidelines methodology. Therefore, it limits the research and progress of bone scaffold bionic manufacturing. Based on the Hausdorff fractal geometry theory, we built the knowledge rule of bones microscopic pores shape fractal dimension according to the fractal dimension calculation results. And it established the knowledge rule of bone scaffold porosity in accordance with fractal dimension and with the porosity of the relational model. It systematically set up a bionic design methodology based on the relationship between bone micromorphology and human bone microscopic porous design. Doing suitable analyses, we demonstrated the relationship among the porosity, the number of filled pores, and the fractal dimension of the pattern of these pores. For individual differences in the microstructure of the bone scaffold properties, the calculated results show that, compared with other scaffold design methodology, our artificial bone scaffold bionic design based on controllable fractal theory and knowledge database is indeed effective.

Original languageEnglish
Pages (from-to)779-784
Number of pages6
JournalXibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University
Volume31
Issue number5
StatePublished - Oct 2013

Keywords

  • Artificial bone scaffold
  • Bionic design
  • Bone
  • Calculations
  • Design
  • Fractal dimension
  • Image analysis
  • Image classification
  • Knowledge management
  • Microstructure
  • Porosity
  • Schematic diagrams

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