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Backpressure Optimization in Foam Injection Molding: Method and Assessment of Sustainability
Inspired by the Industry 4.0 trend towards greater user-friendliness and self-optimization of machines, we present a novel approach to reducing backpressure in foam injection molding. Our method builds on the compressibility of polymer-gas mixtures to detect undissolved gas phases during processing...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7698219/ https://www.ncbi.nlm.nih.gov/pubmed/33207672 http://dx.doi.org/10.3390/polym12112696 |
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author | Kastner, Clemens Mitterlehner, Thomas Altmann, Dominik Steinbichler, Georg |
author_facet | Kastner, Clemens Mitterlehner, Thomas Altmann, Dominik Steinbichler, Georg |
author_sort | Kastner, Clemens |
collection | PubMed |
description | Inspired by the Industry 4.0 trend towards greater user-friendliness and self-optimization of machines, we present a novel approach to reducing backpressure in foam injection molding. Our method builds on the compressibility of polymer-gas mixtures to detect undissolved gas phases during processing at insufficient backpressures. Identification of a characteristic behavior of the bulk modulus upon transition from homogeneous to heterogeneous polymer-gas mixtures facilitated the determination of the minimum pressure required during production to be determined, as verified by ultrasound measurements. Optimization of the pressure conditions inside the barrel by means of our approach saves resources, making the process more sustainable. Our method yielded a 45% increase in plasticizing capacity, reduced the torque needed by 24%, and required 46% less plasticizing work and lower pressures in the gas supply chain. The components produced exhibited both improved mechanical bending properties and lower densities. From an economic point of view, the main advantages of optimized backpressures are reduced wear and lower energy consumption. The methodology presented in this study has considerable potential in terms of sustainable production and offers the prospect of fully autonomous process optimization. |
format | Online Article Text |
id | pubmed-7698219 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-76982192020-11-29 Backpressure Optimization in Foam Injection Molding: Method and Assessment of Sustainability Kastner, Clemens Mitterlehner, Thomas Altmann, Dominik Steinbichler, Georg Polymers (Basel) Article Inspired by the Industry 4.0 trend towards greater user-friendliness and self-optimization of machines, we present a novel approach to reducing backpressure in foam injection molding. Our method builds on the compressibility of polymer-gas mixtures to detect undissolved gas phases during processing at insufficient backpressures. Identification of a characteristic behavior of the bulk modulus upon transition from homogeneous to heterogeneous polymer-gas mixtures facilitated the determination of the minimum pressure required during production to be determined, as verified by ultrasound measurements. Optimization of the pressure conditions inside the barrel by means of our approach saves resources, making the process more sustainable. Our method yielded a 45% increase in plasticizing capacity, reduced the torque needed by 24%, and required 46% less plasticizing work and lower pressures in the gas supply chain. The components produced exhibited both improved mechanical bending properties and lower densities. From an economic point of view, the main advantages of optimized backpressures are reduced wear and lower energy consumption. The methodology presented in this study has considerable potential in terms of sustainable production and offers the prospect of fully autonomous process optimization. MDPI 2020-11-16 /pmc/articles/PMC7698219/ /pubmed/33207672 http://dx.doi.org/10.3390/polym12112696 Text en © 2020 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Kastner, Clemens Mitterlehner, Thomas Altmann, Dominik Steinbichler, Georg Backpressure Optimization in Foam Injection Molding: Method and Assessment of Sustainability |
title | Backpressure Optimization in Foam Injection Molding: Method and Assessment of Sustainability |
title_full | Backpressure Optimization in Foam Injection Molding: Method and Assessment of Sustainability |
title_fullStr | Backpressure Optimization in Foam Injection Molding: Method and Assessment of Sustainability |
title_full_unstemmed | Backpressure Optimization in Foam Injection Molding: Method and Assessment of Sustainability |
title_short | Backpressure Optimization in Foam Injection Molding: Method and Assessment of Sustainability |
title_sort | backpressure optimization in foam injection molding: method and assessment of sustainability |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7698219/ https://www.ncbi.nlm.nih.gov/pubmed/33207672 http://dx.doi.org/10.3390/polym12112696 |
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