@inproceedings{6639e942286041e589564f6d20d6295a,
title = "Supercritical fluid dosage control using Artificial Neural Network (ANN) for microcellular injection molding",
abstract = "Supercritical fluid (SCF) dosage is one of the most important parameters for microcellular injection molding. Highly accurate and repeatable SCF dosage is required to ensure high part quality and consistency. In this study, an artificial neural network (ANN) based SCF dosage control strategy was proposed to predict and compensate for the possible variations in the coming SCF dosing stage to achieve a more repeatable SCF dosage. The result shows that this control strategy can be successfully implemented, and that it leads to significant improvements in dosage consistency and part quality.",
keywords = "Artificial neural network, Gas dosage control, Microcellular injection molding",
author = "Xiaofei Sun and Turng, \{Lih Sheng\} and Gorton, \{Patrick J.\} and Dougherty, \{Eugene P.\}",
year = "2012",
language = "英语",
isbn = "9781622760831",
series = "Annual Technical Conference - ANTEC, Conference Proceedings",
publisher = "Society of Plastics Engineers",
pages = "1642--1646",
booktitle = "70th Annual Technical Conference of the Society of Plastics Engineers 2012, ANTEC 2012",
address = "美国",
note = "70th Annual Technical Conference of the Society of Plastics Engineers 2012, ANTEC 2012 ; Conference date: 02-04-2012 Through 04-04-2012",
}