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Efficient design optimization of variable-density cellular structures for additive manufacturing: Theory and experimental validation

  • Lin Cheng
  • , Pu Zhang
  • , Emre Biyikli
  • , Jiaxi Bai
  • , Joshua Robbins
  • , Albert To
  • University of Pittsburgh
  • Sandia National Laboratories, New Mexico

Research output: Contribution to journalArticlepeer-review

228 Scopus citations

Abstract

Purpose - The purpose of the paper is to propose a homogenization-based topology optimization method to optimize the design of variable-density cellular structure, in order to achieve lightweight design and overcome some of the manufacturability issues in additive manufacturing. Design/methodology/approach - First, homogenization is performed to capture the effective mechanical properties of cellular structures through the scaling law as a function their relative density. Second, the scaling law is used directly in the topology optimization algorithm to compute the optimal density distribution for the part being optimized. Third, a new technique is presented to reconstruct the computer-aided design (CAD) model of the optimal variable-density cellular structure. The proposed method is validated by comparing the results obtained through homogenized model, full-scale simulation and experimentally testing the optimized parts after being additive manufactured. Findings - The test examples demonstrate that the homogenization-based method is efficient, accurate and is able to produce manufacturable designs. Originality/value - The optimized designs in our examples also show significant increase in stiffness and strength when compared to the original designs with identical overall weight.

Original languageEnglish
Pages (from-to)660-677
Number of pages18
JournalRapid Prototyping Journal
Volume23
Issue number4
DOIs
StatePublished - 2017

Keywords

  • Additive manufacturing
  • Cellular structure
  • Homogenization
  • Reconstruction
  • Topology optimization

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