Stochastic prediction of apparent compressive stiffness of selective laser sintered lattice structure with geometrical imperfection and uncertainty in material property

Naoki Takano, Hideo Takizawa, Pin Wen, Kendo Odaka, Satoru Matsunaga, Shinichi Abe

Research output: Contribution to journalArticlepeer-review

17 Citations (Scopus)

Abstract

Aiming at the future applications of a lattice structure manufactured by selective laser sintering for bone scaffold in the biomedical field, by putting highlight on the possible imperfections influenced by different manufacturing strategies, a numerical prediction method was studied and compared with compressive test results. To consider the geometrical imperfections as well as the uncertainty in sintered material property, the first-order perturbation based stochastic homogenization (FPSH) method was employed. To be able to compare products made by three different printing service companies, maraging steel was used in this study, which was commonly available. Several geometrical imperfections were categorized into kink, notch and hole, and representative dimensions were parameterized and measured statistically using micro-CT images. They were also correlated to the building direction and support types. The numerical prediction revealed the reduction of stiffness in a stochastic way qualitatively. The constructed database of the geometrical imperfections and the FPSH method will be useful in the next occasion of manufacturing unexperienced product.

Original languageEnglish
Pages (from-to)347-356
Number of pages10
JournalInternational Journal of Mechanical Sciences
Volume134
DOIs
Publication statusPublished - 2017 Dec 1

Keywords

  • Compression test
  • Geometrical imperfection
  • Lattice structure
  • Selective laser sintering
  • Stochastic homogenization method

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Materials Science(all)
  • Condensed Matter Physics
  • Mechanics of Materials
  • Mechanical Engineering

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