A Gaussian Process Model-Guided Surface Polishing Process in Additive Manufacturing
Autor: | Shilan Jin, Ashif Sikandar Iquebal, Yu Ding, Andrew T. Gaynor, Satish T. S. Bukkapatnam |
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Rok vydání: | 2019 |
Předmět: |
Surface (mathematics)
0303 health sciences 0209 industrial biotechnology Materials science Mechanical Engineering Process (computing) Polishing Mechanical engineering 02 engineering and technology Industrial and Manufacturing Engineering Computer Science Applications 03 medical and health sciences symbols.namesake 020901 industrial engineering & automation Control and Systems Engineering symbols Gaussian process 030304 developmental biology |
Zdroj: | Journal of Manufacturing Science and Engineering. 142 |
ISSN: | 1528-8935 1087-1357 |
DOI: | 10.1115/1.4045334 |
Popis: | 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. |
Databáze: | OpenAIRE |
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