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Two-scale topology optimization in computational material design: An integrated approach.

A Ferrer1,2, J C Cante1,2, J A Hernández1,2

  • 1Centre Internacional de Mètodes Numèrics en Enginyeria Universitat Politècnica de Catalunya, Campus Nord Barcelona Spain.

International Journal for Numerical Methods in Engineering
|June 26, 2018
PubMed
Summary
This summary is machine-generated.

This study introduces a novel multiscale topology optimization strategy using an alternate direction algorithm and a microstructure database. The method efficiently handles manufacturability constraints and coupled macroscopic/microscopic design problems.

Keywords:
level setsmaterial designmultiscaletopology optimization

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Area of Science:

  • Engineering
  • Computational Science
  • Materials Science

Background:

  • Multiscale topology optimization presents significant computational challenges.
  • Existing methods often struggle with incorporating manufacturability constraints.
  • Designing macroscopic and microscopic topologies simultaneously requires advanced computational strategies.

Purpose of the Study:

  • To present a new, efficient strategy for solving multiscale topology optimization problems.
  • To investigate the impact of manufacturability constraints on optimization outcomes.
  • To extend the strategy for coupled macroscopic and microscopic topology design.

Main Methods:

  • Utilized an alternate direction algorithm for efficient problem-solving.
  • Employed a precomputed offline microstructure database (Computational Vademecum).
  • Extended the methodology to address coupled topology design at multiple scales.

Main Results:

  • Successfully demonstrated an efficient approach to multiscale topology optimization.
  • Quantified the influence of manufacturability constraints on the design.
  • Validated the extended strategy for simultaneous macroscopic and microscopic topology design.

Conclusions:

  • The proposed strategy offers an efficient and robust solution for multiscale topology optimization.
  • Incorporating manufacturability constraints is crucial for practical applications.
  • The method provides a unified framework for coupled multi-scale topology design.