A Gaussian process model-guided surface polishing process in additive manufacturing

Shilan Jin, Ashif Iquebal, Satish Bukkapatnam, Andrew Gaynor, Yu Ding

Research output: Contribution to journalArticlepeer-review

Abstract

Polishing of additively manufactured products is a multi-stage process, and a different combination of polishing pad and process parameters is employed at each stage. Pad change decisions and endpoint determination currently rely on practitioners’ experience and subjective visual inspection of surface quality. An automated and objective decision process is more desired for delivering consistency and reducing variability. Toward that objective, a model-guided decision-making scheme is developed in this article for the polishing process of a titanium alloy workpiece. The model used is a series of Gaussian process models, each established for a polishing stage at which surface data are gathered. The series of Gaussian process models appear capable of capturing surface changes and variation over the polishing process, resulting in a decision protocol informed by the correlation characteristics over the sample surface. It is found that low correlations reveal the existence of extreme roughness that may be deemed surface defects. Making judicious use of the change pattern in surface correlation provides insights enabling timely actions. Physical polishing of titanium alloy samples and a simulation of this process are used together to demonstrate the merit of the proposed method.

Original languageEnglish (US)
Article number011003
JournalJournal of Manufacturing Science and Engineering, Transactions of the ASME
Volume142
Issue number1
DOIs
StatePublished - Jan 2020
Externally publishedYes

Keywords

  • Additive manufacturing
  • Correlation parameters
  • Endpoint
  • Gaussian process
  • Modeling
  • Pad change
  • Polishing process
  • Simulation

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Mechanical Engineering
  • Computer Science Applications
  • Industrial and Manufacturing Engineering

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