Advanced neural network prediction and system identification of liquid-liquid flow patterns in circular microchannels with varying angle of confluence

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• 作者：M.S. Giri Nandagopal ; Eldho Abraham ; N. Selvaraju ; ^{selvaraju@nitc.ac.in}
• 关键词：Microchannel ; Flow pattern ; Neural networks ; Slug flow ; Prediction
• 刊名：Chemical Engineering Journal
• 出版年：2017
• 出版时间：1 February 2017
• 年：2017
• 卷：309
• 期：Complete
• 页码：850-865
• 全文大小：3499 K
• 卷排序：309

文摘

Liquid-liquid flow maps in a circular microchannel of varying confluence angle was established. Confluence angle has 17.78% effect on flow pattern formation. GRNN exhibited better prediction. The system was interpreted using state space models.