A function-oriented surface reconstruction framework for reverse engineering

  • Yifan Qie
  • , Sebastian Bickel
  • , Sandro Wartzack
  • , Benjamin Schleich
  • , Nabil Anwer*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Reverse engineering can be considered as the methodological process of analyzing and reconstructing a digital model of a physical asset. It has gained considerable interest with the advent of sophisticated sensors and data processing technologies hence becoming an important enabler for the product digital twin. However, while existing approaches to reverse engineering focus on the mere geometric reconstruction, this paper presents a novel paradigm called function-oriented surface reconstruction, that is capable of reconstructing the underlying part and surface function and thus outperforms existing methods. The applicability of the presented method is demonstrated through a case study of a gearbox.

Original languageEnglish
Pages (from-to)135-138
Number of pages4
JournalCIRP Annals
Volume70
Issue number1
DOIs
Publication statusPublished - Jan 2021
Externally publishedYes

Keywords

  • Data-driven design
  • Machine learning
  • Reverse engineering

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