Residue buildup predictive modeling for stencil cleaning profile decision-making using recurrent neural network

•Enhance the stencil printing process performance by proper cleaning profile selection.•Residue buildup amount is a key criterion for stencil cleaning profile selection.•Image processing to quantify residue buildup amount on the stencil seating surface.•Recurrent neural network for accurate residue...

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Veröffentlicht in:	Robotics and computer-integrated manufacturing 2021-04, Vol.68, p.102041, Article 102041
Hauptverfasser:	Alelaumi, Shrouq, Khader, Nourma, He, Jingxi, Lam, Sarah, Yoon, Sang Won
Format:	Artikel
Sprache:	eng
Schlagworte:	Assembly lines Circuit boards Cleaning Cleaning profile selection Decision making Long short-term memory (LSTM) Multilayer perceptrons Neural networks Prediction models Printed circuits Real time Recurrent neural network (RNN) Recurrent neural networks Regression models Residues Stencil printing process
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