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Robotization of Three-Point Bending Mechanical Tests Using PLA/TPU Blends as an Example in the 0–100% Range
This article presents the development of an automated three-point bending testing system using a robot to increase the efficiency and precision of measurements for PLA/TPU polymer blends as implementation high-throughput measurement methods. The system operates continuously and characterizes the fle...
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/PMC10650072/ https://www.ncbi.nlm.nih.gov/pubmed/37959523 http://dx.doi.org/10.3390/ma16216927 |
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author | Głowacka, Julia Derpeński, Łukasz Frydrych, Miłosz Sztorch, Bogna Bartoszewicz, Błażej Przekop, Robert E. |
author_facet | Głowacka, Julia Derpeński, Łukasz Frydrych, Miłosz Sztorch, Bogna Bartoszewicz, Błażej Przekop, Robert E. |
author_sort | Głowacka, Julia |
collection | PubMed |
description | This article presents the development of an automated three-point bending testing system using a robot to increase the efficiency and precision of measurements for PLA/TPU polymer blends as implementation high-throughput measurement methods. The system operates continuously and characterizes the flexural properties of PLA/TPU blends with varying TPU concentrations. This study aimed to determine the effect of TPU concentration on the strength and flexural stiffness, surface properties (WCA), thermal properties (TGA, DSC), and microscopic characterization of the studied blends. |
format | Online Article Text |
id | pubmed-10650072 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-106500722023-10-28 Robotization of Three-Point Bending Mechanical Tests Using PLA/TPU Blends as an Example in the 0–100% Range Głowacka, Julia Derpeński, Łukasz Frydrych, Miłosz Sztorch, Bogna Bartoszewicz, Błażej Przekop, Robert E. Materials (Basel) Article This article presents the development of an automated three-point bending testing system using a robot to increase the efficiency and precision of measurements for PLA/TPU polymer blends as implementation high-throughput measurement methods. The system operates continuously and characterizes the flexural properties of PLA/TPU blends with varying TPU concentrations. This study aimed to determine the effect of TPU concentration on the strength and flexural stiffness, surface properties (WCA), thermal properties (TGA, DSC), and microscopic characterization of the studied blends. MDPI 2023-10-28 /pmc/articles/PMC10650072/ /pubmed/37959523 http://dx.doi.org/10.3390/ma16216927 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 Głowacka, Julia Derpeński, Łukasz Frydrych, Miłosz Sztorch, Bogna Bartoszewicz, Błażej Przekop, Robert E. Robotization of Three-Point Bending Mechanical Tests Using PLA/TPU Blends as an Example in the 0–100% Range |
title | Robotization of Three-Point Bending Mechanical Tests Using PLA/TPU Blends as an Example in the 0–100% Range |
title_full | Robotization of Three-Point Bending Mechanical Tests Using PLA/TPU Blends as an Example in the 0–100% Range |
title_fullStr | Robotization of Three-Point Bending Mechanical Tests Using PLA/TPU Blends as an Example in the 0–100% Range |
title_full_unstemmed | Robotization of Three-Point Bending Mechanical Tests Using PLA/TPU Blends as an Example in the 0–100% Range |
title_short | Robotization of Three-Point Bending Mechanical Tests Using PLA/TPU Blends as an Example in the 0–100% Range |
title_sort | robotization of three-point bending mechanical tests using pla/tpu blends as an example in the 0–100% range |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10650072/ https://www.ncbi.nlm.nih.gov/pubmed/37959523 http://dx.doi.org/10.3390/ma16216927 |
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