Neural networks for steady state modelling of an extruder-Reference-Cited by-同舟云学术

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Neural networks for steady state modelling of an extruder

Published:1997-10 Issue:4 Volume:11 Page:375-382
ISSN:0954-1810
Container-title:Artificial Intelligence in Engineering
language:en
Short-container-title:Artificial Intelligence in Engineering

Author:

Wagner M.G.,Montague G.A.,Tham M.T.

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference11 articles.

1. Process modelling using neural networks: an application to a reactive plasticating extruder;Wagner,1996

2. Control of a polypropylene visbreaking process using a novel in-line rheometer;Nelson,1993

3. Modelling and control of a wire coating extruder;Koivo,1990

4. Artificial neural networks in process engineering;Willis,1991

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1. A Novel In-Line Polymer Melt Viscosity Sensing System of Integrated Soft Sensor and Machine Learning;IEEE Sensors Journal;2023-06-01

2. Energy efficiency in extrusion-related polymer processing: A review of state of the art and potential efficiency improvements;Renewable and Sustainable Energy Reviews;2021-09

3. Automatic extruder for processing recycled polymers with ultrasound and temperature control system;Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering;2016-08-03

4. Real time measurement and control of viscosity for extrusion processes using recycled materials;Polymer Degradation and Stability;2014-04

5. Prediction and optimization of cure cycle of thick fiber-reinforced composite parts using dynamic artificial neural networks;Journal of Reinforced Plastics and Composites;2012-08-21

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