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Optimize Injection-Molding Process Parameters and Build an Adaptive Process Control System Based on Nozzle Pressure Profile and Clamping Force
The injection-molding process is a non-linear process, and the product quality and long-term production stability are affected by several factors. To stabilize the product quality effected by these factors, this research establishes a standard process parameter setup procedure and an adaptive proces...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9921389/ https://www.ncbi.nlm.nih.gov/pubmed/36771911 http://dx.doi.org/10.3390/polym15030610 |
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author | Liou, Guan-Yan Su, Wei-Jie Cheng, Feng-Jung Chang, Chen-Hsiang Tseng, Ren-Ho Hwang, Sheng-Jye Peng, Hsin-Shu Chu, Hsiao-Yeh |
author_facet | Liou, Guan-Yan Su, Wei-Jie Cheng, Feng-Jung Chang, Chen-Hsiang Tseng, Ren-Ho Hwang, Sheng-Jye Peng, Hsin-Shu Chu, Hsiao-Yeh |
author_sort | Liou, Guan-Yan |
collection | PubMed |
description | The injection-molding process is a non-linear process, and the product quality and long-term production stability are affected by several factors. To stabilize the product quality effected by these factors, this research establishes a standard process parameter setup procedure and an adaptive process control system based on the data collected by a nozzle pressure sensor and a tie-bar strain gauge to achieve this goal. In this research, process parameters such as the V/P switchover point, injection speed, packing pressure, and clamping force are sequentially optimized based on the characteristics of the pressure profile. After the optimization process, this research defines the standard quality characteristics through the optimized process parameters and combines it with the adaptive process control system in order to achieve the purpose of automatic adjustment of the machine and maintain high-quality production. Finally, three different viscosity materials are used to verify the effectiveness of the optimization procedure and the adaptive process control system. With the system, the variation of product weight was reduced to 0.106%, 0.092%, and 0.079%, respectively. |
format | Online Article Text |
id | pubmed-9921389 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-99213892023-02-12 Optimize Injection-Molding Process Parameters and Build an Adaptive Process Control System Based on Nozzle Pressure Profile and Clamping Force Liou, Guan-Yan Su, Wei-Jie Cheng, Feng-Jung Chang, Chen-Hsiang Tseng, Ren-Ho Hwang, Sheng-Jye Peng, Hsin-Shu Chu, Hsiao-Yeh Polymers (Basel) Article The injection-molding process is a non-linear process, and the product quality and long-term production stability are affected by several factors. To stabilize the product quality effected by these factors, this research establishes a standard process parameter setup procedure and an adaptive process control system based on the data collected by a nozzle pressure sensor and a tie-bar strain gauge to achieve this goal. In this research, process parameters such as the V/P switchover point, injection speed, packing pressure, and clamping force are sequentially optimized based on the characteristics of the pressure profile. After the optimization process, this research defines the standard quality characteristics through the optimized process parameters and combines it with the adaptive process control system in order to achieve the purpose of automatic adjustment of the machine and maintain high-quality production. Finally, three different viscosity materials are used to verify the effectiveness of the optimization procedure and the adaptive process control system. With the system, the variation of product weight was reduced to 0.106%, 0.092%, and 0.079%, respectively. MDPI 2023-01-25 /pmc/articles/PMC9921389/ /pubmed/36771911 http://dx.doi.org/10.3390/polym15030610 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Liou, Guan-Yan Su, Wei-Jie Cheng, Feng-Jung Chang, Chen-Hsiang Tseng, Ren-Ho Hwang, Sheng-Jye Peng, Hsin-Shu Chu, Hsiao-Yeh Optimize Injection-Molding Process Parameters and Build an Adaptive Process Control System Based on Nozzle Pressure Profile and Clamping Force |
title | Optimize Injection-Molding Process Parameters and Build an Adaptive Process Control System Based on Nozzle Pressure Profile and Clamping Force |
title_full | Optimize Injection-Molding Process Parameters and Build an Adaptive Process Control System Based on Nozzle Pressure Profile and Clamping Force |
title_fullStr | Optimize Injection-Molding Process Parameters and Build an Adaptive Process Control System Based on Nozzle Pressure Profile and Clamping Force |
title_full_unstemmed | Optimize Injection-Molding Process Parameters and Build an Adaptive Process Control System Based on Nozzle Pressure Profile and Clamping Force |
title_short | Optimize Injection-Molding Process Parameters and Build an Adaptive Process Control System Based on Nozzle Pressure Profile and Clamping Force |
title_sort | optimize injection-molding process parameters and build an adaptive process control system based on nozzle pressure profile and clamping force |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9921389/ https://www.ncbi.nlm.nih.gov/pubmed/36771911 http://dx.doi.org/10.3390/polym15030610 |
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