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Abrasive Sensitivity of Engineering Polymers and a Bio-Composite under Different Abrasive Conditions
Two different test systems were designed to evaluate the tribological behavior of five engineering plastics (Polyamide—PA grades and Ultra High Molecular Weight Polyethylene—UHMW-PE) and a fully degradable bio-composite (Polylactic Acid—PLA/hemp fibers) targeted to agricultural machinery abrasive co...
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/PMC7699501/ https://www.ncbi.nlm.nih.gov/pubmed/33228186 http://dx.doi.org/10.3390/ma13225239 |
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author | Muhandes, Hasan Kalácska, Ádám Székely, László Keresztes, Róbert Kalácska, Gábor |
author_facet | Muhandes, Hasan Kalácska, Ádám Székely, László Keresztes, Róbert Kalácska, Gábor |
author_sort | Muhandes, Hasan |
collection | PubMed |
description | Two different test systems were designed to evaluate the tribological behavior of five engineering plastics (Polyamide—PA grades and Ultra High Molecular Weight Polyethylene—UHMW-PE) and a fully degradable bio-composite (Polylactic Acid—PLA/hemp fibers) targeted to agricultural machinery abrasive conditions. Pin-on-plate tests were performed with different loads, sliding velocity and abrasive particles. The material response was further investigated in a slurry containing abrasive test system with different sliding velocities and distances, abrasive media compositions and impact angles. The abrasive wear, the change of the 3D surface roughness parameters, the friction force and contact temperature evolution were also analyzed as a function of the materials’ mechanical properties ([Formula: see text] and the dimensionless numbers derived from them. Using the IBM SPSS 25 software, multiple linear regression models were used to statistically evaluate the measured data and to examine the sensitivity of the material properties and test system characteristics on the tribological behavior. For both test setups, the system and material characteristics influencing the dependent variables (wear, friction, heat generation) and the dimensionless numbers formed from the material properties were ranked using standardized regression coefficients derived from the regression models. The abrasion sensitivity of the tested materials were evaluated taking into account a wide range of influencing parameters. |
format | Online Article Text |
id | pubmed-7699501 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-76995012020-11-29 Abrasive Sensitivity of Engineering Polymers and a Bio-Composite under Different Abrasive Conditions Muhandes, Hasan Kalácska, Ádám Székely, László Keresztes, Róbert Kalácska, Gábor Materials (Basel) Article Two different test systems were designed to evaluate the tribological behavior of five engineering plastics (Polyamide—PA grades and Ultra High Molecular Weight Polyethylene—UHMW-PE) and a fully degradable bio-composite (Polylactic Acid—PLA/hemp fibers) targeted to agricultural machinery abrasive conditions. Pin-on-plate tests were performed with different loads, sliding velocity and abrasive particles. The material response was further investigated in a slurry containing abrasive test system with different sliding velocities and distances, abrasive media compositions and impact angles. The abrasive wear, the change of the 3D surface roughness parameters, the friction force and contact temperature evolution were also analyzed as a function of the materials’ mechanical properties ([Formula: see text] and the dimensionless numbers derived from them. Using the IBM SPSS 25 software, multiple linear regression models were used to statistically evaluate the measured data and to examine the sensitivity of the material properties and test system characteristics on the tribological behavior. For both test setups, the system and material characteristics influencing the dependent variables (wear, friction, heat generation) and the dimensionless numbers formed from the material properties were ranked using standardized regression coefficients derived from the regression models. The abrasion sensitivity of the tested materials were evaluated taking into account a wide range of influencing parameters. MDPI 2020-11-19 /pmc/articles/PMC7699501/ /pubmed/33228186 http://dx.doi.org/10.3390/ma13225239 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 Muhandes, Hasan Kalácska, Ádám Székely, László Keresztes, Róbert Kalácska, Gábor Abrasive Sensitivity of Engineering Polymers and a Bio-Composite under Different Abrasive Conditions |
title | Abrasive Sensitivity of Engineering Polymers and a Bio-Composite under Different Abrasive Conditions |
title_full | Abrasive Sensitivity of Engineering Polymers and a Bio-Composite under Different Abrasive Conditions |
title_fullStr | Abrasive Sensitivity of Engineering Polymers and a Bio-Composite under Different Abrasive Conditions |
title_full_unstemmed | Abrasive Sensitivity of Engineering Polymers and a Bio-Composite under Different Abrasive Conditions |
title_short | Abrasive Sensitivity of Engineering Polymers and a Bio-Composite under Different Abrasive Conditions |
title_sort | abrasive sensitivity of engineering polymers and a bio-composite under different abrasive conditions |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7699501/ https://www.ncbi.nlm.nih.gov/pubmed/33228186 http://dx.doi.org/10.3390/ma13225239 |
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