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Multiple In-Mold Sensors for Quality and Process Control in Injection Molding
The simultaneous improvement of injection molding process efficiency and product quality, as required by Industry 4.0, is a complex, non-trivial task that requires a comprehensive approach, which involves a combination of sensoring and information techniques. In this study, we investigated the suita...
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/PMC9920048/ https://www.ncbi.nlm.nih.gov/pubmed/36772775 http://dx.doi.org/10.3390/s23031735 |
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author | Párizs, Richárd Dominik Török, Dániel Ageyeva, Tatyana Kovács, József Gábor |
author_facet | Párizs, Richárd Dominik Török, Dániel Ageyeva, Tatyana Kovács, József Gábor |
author_sort | Párizs, Richárd Dominik |
collection | PubMed |
description | The simultaneous improvement of injection molding process efficiency and product quality, as required by Industry 4.0, is a complex, non-trivial task that requires a comprehensive approach, which involves a combination of sensoring and information techniques. In this study, we investigated the suitability of in-mold pressure sensors to control the injection molding process in multi-cavity molds. We have conducted several experiments to show how to optimize the clamping force, switchover, or holding time by measuring only pressure in a multi-cavity mold. The results show that the pressure curves and the pressure integral are suitable for determining optimal clamping force. We also proved that in-channel sensors could be effectively used for a pressure-controlled SWOP. In the volume-controlled method, only the sensors in the cavity were capable of correctly detecting the end of the filling. We proposed a method to optimize the holding phase. In this method, we first determined the integration time of the area under the pressure curve and then performed a model fit using the relationship between the pressure integral and product mass. The saturation curve fitted to the pressure data can easily determine the gate freeze-off time from pressure measurements. |
format | Online Article Text |
id | pubmed-9920048 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-99200482023-02-12 Multiple In-Mold Sensors for Quality and Process Control in Injection Molding Párizs, Richárd Dominik Török, Dániel Ageyeva, Tatyana Kovács, József Gábor Sensors (Basel) Article The simultaneous improvement of injection molding process efficiency and product quality, as required by Industry 4.0, is a complex, non-trivial task that requires a comprehensive approach, which involves a combination of sensoring and information techniques. In this study, we investigated the suitability of in-mold pressure sensors to control the injection molding process in multi-cavity molds. We have conducted several experiments to show how to optimize the clamping force, switchover, or holding time by measuring only pressure in a multi-cavity mold. The results show that the pressure curves and the pressure integral are suitable for determining optimal clamping force. We also proved that in-channel sensors could be effectively used for a pressure-controlled SWOP. In the volume-controlled method, only the sensors in the cavity were capable of correctly detecting the end of the filling. We proposed a method to optimize the holding phase. In this method, we first determined the integration time of the area under the pressure curve and then performed a model fit using the relationship between the pressure integral and product mass. The saturation curve fitted to the pressure data can easily determine the gate freeze-off time from pressure measurements. MDPI 2023-02-03 /pmc/articles/PMC9920048/ /pubmed/36772775 http://dx.doi.org/10.3390/s23031735 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 Párizs, Richárd Dominik Török, Dániel Ageyeva, Tatyana Kovács, József Gábor Multiple In-Mold Sensors for Quality and Process Control in Injection Molding |
title | Multiple In-Mold Sensors for Quality and Process Control in Injection Molding |
title_full | Multiple In-Mold Sensors for Quality and Process Control in Injection Molding |
title_fullStr | Multiple In-Mold Sensors for Quality and Process Control in Injection Molding |
title_full_unstemmed | Multiple In-Mold Sensors for Quality and Process Control in Injection Molding |
title_short | Multiple In-Mold Sensors for Quality and Process Control in Injection Molding |
title_sort | multiple in-mold sensors for quality and process control in injection molding |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9920048/ https://www.ncbi.nlm.nih.gov/pubmed/36772775 http://dx.doi.org/10.3390/s23031735 |
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