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...

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Main Authors: Richárd Dominik Párizs, Dániel Török, Tatyana Ageyeva, József Gábor Kovács
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/23/3/1735
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author Richárd Dominik Párizs
Dániel Török
Tatyana Ageyeva
József Gábor Kovács
author_facet Richárd Dominik Párizs
Dániel Török
Tatyana Ageyeva
József Gábor Kovács
author_sort Richárd Dominik Párizs
collection DOAJ
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.
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spelling doaj.art-67d077e5f1bc44f99adfca73060d0ec32023-11-16T18:05:25ZengMDPI AGSensors1424-82202023-02-01233173510.3390/s23031735Multiple In-Mold Sensors for Quality and Process Control in Injection MoldingRichárd Dominik Párizs0Dániel Török1Tatyana Ageyeva2József Gábor Kovács3Department of Polymer Engineering, Faculty of Mechanical Engineering, Budapest University of Technology and Economics, Műegyetem rkp. 3., H-1111 Budapest, HungaryDepartment of Polymer Engineering, Faculty of Mechanical Engineering, Budapest University of Technology and Economics, Műegyetem rkp. 3., H-1111 Budapest, HungaryDepartment of Polymer Engineering, Faculty of Mechanical Engineering, Budapest University of Technology and Economics, Műegyetem rkp. 3., H-1111 Budapest, HungaryDepartment of Polymer Engineering, Faculty of Mechanical Engineering, Budapest University of Technology and Economics, Műegyetem rkp. 3., H-1111 Budapest, HungaryThe 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.https://www.mdpi.com/1424-8220/23/3/1735injection moldingpressure sensorsquality controlin-mold measurement
spellingShingle Richárd Dominik Párizs
Dániel Török
Tatyana Ageyeva
József Gábor Kovács
Multiple In-Mold Sensors for Quality and Process Control in Injection Molding
Sensors
injection molding
pressure sensors
quality control
in-mold measurement
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 injection molding
pressure sensors
quality control
in-mold measurement
url https://www.mdpi.com/1424-8220/23/3/1735
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AT danieltorok multipleinmoldsensorsforqualityandprocesscontrolininjectionmolding
AT tatyanaageyeva multipleinmoldsensorsforqualityandprocesscontrolininjectionmolding
AT jozsefgaborkovacs multipleinmoldsensorsforqualityandprocesscontrolininjectionmolding