Abrasive Sensitivity of Engineering Polymers and a Bio-Composite under Different Abrasive Conditions.

abrasive wear bio-polymer engineering plastics mechanical properties pin-on-plate regression model slurry

Journal

Materials (Basel, Switzerland)
ISSN: 1996-1944
Titre abrégé: Materials (Basel)
Pays: Switzerland
ID NLM: 101555929

Informations de publication

Date de publication:
19 Nov 2020
Historique:
received: 05 10 2020
revised: 05 11 2020
accepted: 16 11 2020
entrez: 24 11 2020
pubmed: 25 11 2020
medline: 25 11 2020
Statut: epublish

Résumé

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 (H,E,σy,σc,εB,σF,σM) 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.

Identifiants

pubmed: 33228186
pii: ma13225239
doi: 10.3390/ma13225239
pmc: PMC7699501
pii:
doi:

Types de publication

Journal Article

Langues

eng

Auteurs

Hasan Muhandes (H)

Faculty of Mechanical Engineering, Institute for Mechanical Engineering Technology, Szent István University, 2100 Gödöllő, Hungary.

Ádám Kalácska (Á)

Soete Laboratory, Department of Electromechanical, Systems and Metal Engineering, University of Ghent, 9000 Ghent, Belgium.

László Székely (L)

Institute of Mathematics and Basic Science, Szent István University, 2100 Gödöllő, Hungary.

Róbert Keresztes (R)

Faculty of Mechanical Engineering, Institute for Mechanical Engineering Technology, Szent István University, 2100 Gödöllő, Hungary.

Gábor Kalácska (G)

Faculty of Mechanical Engineering, Institute for Mechanical Engineering Technology, Szent István University, 2100 Gödöllő, Hungary.

Classifications MeSH