Selective Magnetic Abrasive Finishing of Nano-Thickness IZO-Coated Pyrex Glass Using Acoustic Emission Monitoring and Artificial Neural Network

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초록

In this study, a novel setup for a nanoscale finishing process - magnetic abrasive finishing (MAF) - was investigated together with in-process monitoring using acoustic emissions (AE). A specially fabricated direction control piece with a neodymium magnet was attached to an MAF setup to perform surface finishing of thin-film (IZO) coated Pyrex glass workpieces within a selective area. For the selective finishing experiments, design of experiment (DOE) was applied to optimize the surface roughness of the workpieces. In addition, an acoustic emission (AE) sensor, which can effectively monitor surface roughness and process states during ultraprecision machining/polishing of nanoscale workpieces, was adopted to detect the depth of the polished surface during MAF. The experimental results show that the proposed MAF setup produces uniform surfaces with nano-level surface roughness in a confined (target) area. Moreover, AE monitoring appears to have strong correlations with process states and sufficient sensitivity to detect the critical thickness (the end point of the coating layer). The processed AE signals were utilized as input parameters for an artificial neural network (ANN) to determine whether the polishing was reached to the coating-substrate (Pyrex) boundary. With the proposed polishing and monitoring scheme, controlled nanofinishing of a thin film coated material are feasible in a selective area within specific thickness/layer.

키워드

Acoustic emission monitoringartificial neural networkcoating-substrate boundarymagnetic abrasive finishingselective nano finishingsurface roughnessSURFACE-ROUGHNESS
제목
Selective Magnetic Abrasive Finishing of Nano-Thickness IZO-Coated Pyrex Glass Using Acoustic Emission Monitoring and Artificial Neural Network
저자
Kim, JungsunKim, HyojeongLee, Seoung Hwan
DOI
10.1109/ACCESS.2019.2942689
발행일
2019-09
유형
Article
저널명
IEEE Access
7
페이지
136783 ~ 136791

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