Quickest change point detection in shape inspection of additively manufactured parts under a multi-resolution framework

Yu Jin, Haitao Liao, Harry Pierson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In-situ layer-by-layer inspection is essential to achieving the full capability and advantages of additive manufacturing in producing complex geometries. The shape of each inspected layer can be described by a 2D point cloud obtained by slicing a thin layer of 3D point cloud acquired from 3D scanning. In practice, a scanned shape must be aligned with the corresponding base-truth CAD model before evaluating its geometric accuracy. Indeed, the observed geometric error is attributed to systematic, random, and alignment errors, where the systematic error is the one that triggers an alarm of system anomalies. In this work, a quickest change detection (QCD) algorithm is applied under a multi-resolution alignment and inspection framework 1) to differentiate errors from different error sources, and 2) to identify the layer where the earliest systematic deviation distribution changes during the printing process. Numerical experiments and a case study on a human heart are conducted to illustrate the performance of the proposed method in detecting layer-wise geometric error.

Original languageEnglish (US)
Title of host publicationAdditive Manufacturing; Advanced Materials Manufacturing; Biomanufacturing; Life Cycle Engineering; Manufacturing Equipment and Automation
PublisherAmerican Society of Mechanical Engineers
ISBN (Electronic)9780791884256
DOIs
StatePublished - 2020
Externally publishedYes
EventASME 2020 15th International Manufacturing Science and Engineering Conference, MSEC 2020 - Virtual, Online
Duration: Sep 3 2020 → …

Publication series

NameASME 2020 15th International Manufacturing Science and Engineering Conference, MSEC 2020
Volume1

Conference

ConferenceASME 2020 15th International Manufacturing Science and Engineering Conference, MSEC 2020
CityVirtual, Online
Period9/3/20 → …

Keywords

  • Additive manufacturing
  • Change point detection
  • Shape inspection

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality
  • Materials Science (miscellaneous)
  • Control and Optimization
  • Industrial and Manufacturing Engineering
  • Mechanical Engineering

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