Residue buildup predictive modeling for stencil cleaning profile decision-making using recurrent neural network-Reference-Cited by-同舟云学术

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

Published:2021-04 Issue: Volume:68 Page:102041
ISSN:0736-5845
Container-title:Robotics and Computer-Integrated Manufacturing
language:en
Short-container-title:Robotics and Computer-Integrated Manufacturing

Author:

Alelaumi Shrouq,Khader Nourma,He Jingxi,Lam Sarah,Yoon Sang Won

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,General Mathematics,Software,Control and Systems Engineering

Reference27 articles.

1. Critical variables of solder paste stencil printing for micro-BGA and fine-pitch QFP;Pan;IEEE Trans. Electron. Packag. Manuf.,2004

2. Improving the fine-pitch stencil printing capability using the Taguchi method and Taguchi fuzzy-based model;Tsai;Robot Comput Integr Manuf,2011

3. Using statistically designed experiments for process development and improvement: an application in electronics manufacturing;Montgomery;Robot Comput Integr Manuf,2000

4. Development of a placement time estimator function for a turret style surface mount placement machine;Ellis;Robot Comput Integr Manuf,2002

5. A multi-phase planning heuristic for a dual-delivery SMT placement machine optimization;He;Robot Comput Integr Manuf,2017

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