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A Topology Optimization Method for Hybrid Subtractive–Additive Remanufacturing

  • Jikai Liu
  • , Yufan Zheng
  • , Yongsheng Ma
  • , Ahmed Qureshi
  • , Rafiq Ahmad*
  • *Corresponding author for this work
  • University of Alberta

Research output: Contribution to journalArticlepeer-review

60 Citations (Scopus)

Abstract

This paper presents a hybrid subtractive–additive remanufacturing oriented topology optimization method. This method provides a design-for-remanufacturing approach, which offer solutions for product upgrade or repair. To be specific, a used part is first machined to remove material, and then additively deposited of materials on top. In this way, either the function of the part is upgraded or the broken part is repaired. Beneficially, the used part is economically and environment-friendly recycled. This method is developed under the level set framework and innovatively, the layer-wise level set representation of the additive manufacturing part is adopted for self-support and material anisotropy control. Especially for the latter point, the hybrid deposition path, a combination of contour-offset and zig–zag path patterns, is adopted for deposition path planning, which will be concurrently optimized for the best material anisotropy distribution. Therefore, what will be presented in this paper is a novel combination of structural topological design and process planning to derive the optimal hybrid remanufacturing strategy. This is a very novel trial and we have performed experiments to verify its effectiveness.

Original languageEnglish
Pages (from-to)939-953
Number of pages15
JournalInternational Journal of Precision Engineering and Manufacturing - Green Technology
Volume7
Issue number5
DOIs
Publication statusPublished - 1 Sept 2020
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  2. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • Additive manufacturing
  • Hybrid manufacturing
  • Level set
  • Re-manufacturing
  • Topology optimization

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