Control of deviations and prediction of surface roughness from micro machining of THz waveguides using acoustic emission signals
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- 作者：James M. Griffina ; James.griffin2@coventry.ac.uk" class="auth_mail" title="E-mail the corresponding author ; Fernanda Diazb ; Edgar Geerlingb ; Matias Clasingb ; Vicente Ponceb ; Chris Taylore ; Sam Turnere ; Ernest A. Michaelc ; emichael@ing.uchile.cl" class="auth_mail" title="E-mail the corresponding author ; F. Patricio Menac ; Leonardo Bronfmand
- 关键词：Acoustic emission ; Precision manufacturing ; Surface finish ; Precision control ; Submillimetre waveguide manufacturing ; CART ; Neural networks and simulations
- 刊名：Mechanical Systems and Signal Processing
- 出版年：2017
- 出版时间：15 February 2017
- 年：2017
- 卷：85
- 期：Complete
- 页码：1020-1034
- 全文大小：1264 K
文摘
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Different levels of each phenomenon in terms of acoustic emission (AE) correlated to deviation were characterised.
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Physical phenomena using both the time and frequency domain analysis of the AE were gained from the vertical-axis micro milling tests.
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Significant tool wear of micro milling was characterised after and before the onset of tool malfunction.
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Different levels of the characterised phenomena were classified for the prediction of surface quality.
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A real-time simulation displaying changing energy patterns as deviation errors increase/decrease was implemented.