Vacuum Thermoforming Process: An Approach to Modeling and Optimization Using Artificial Neural Networks-Reference-Cited by-同舟云学术

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Vacuum Thermoforming Process: An Approach to Modeling and Optimization Using Artificial Neural Networks

Published:2018-02-02 Issue:2 Volume:10 Page:143
ISSN:2073-4360
Container-title:Polymers
language:en
Short-container-title:Polymers

Author:

Leite Wanderson,Campos Rubio Juan,Mata Cabrera Francisco,Carrasco Angeles^ORCID,Hanafi Issam

Publisher

MDPI AG

Subject

Polymers and Plastics,General Chemistry

Link

http://www.mdpi.com/2073-4360/10/2/143/pdf

Reference41 articles.

1. Thermoforming (Part III, Chapter 19);Throne,2011

2. Technology of Thermoforming;Throne,1996

3. The design and production technology of large composite plastic products;Küttner;J. Proc. Estonian Acad. Sci. Eng.,2007

4. Update on Troubleshooting in Thermoforming;Muralisrinivasan,2010

5. Numerical and experimental analysis of HIPS sheets in thermoforming process

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2. A study on the influence of thermoforming process on the optical properties of polycarbonate films;International Journal of Material Forming;2024-05-15

3. The integration of Model Predictive Control and deep Reinforcement Learning for efficient thermal control in thermoforming processes;Journal of Manufacturing Processes;2024-04

4. In Situ Stereo Digital Image Correlation with Thermal Imaging as a Process Monitoring Method in Vacuum-Assisted Thermoforming;Journal of Manufacturing and Materials Processing;2024-03-01

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