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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...

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Autores principales: Kastner, Clemens, Mitterlehner, Thomas, Altmann, Dominik, Steinbichler, Georg
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
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.
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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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