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Replication Study of Molded Micro-Textured Samples Made of Ultra-High Molecular Weight Polyethylene for Medical Applications

Articolo
Data di Pubblicazione:
2023
Abstract:
In articular joint implants, polymeric inserts are usually exploited for on-contact sliding surfaces to guarantee low friction and wear, a high load-bearing capacity, impact strength and stiffness, and biocompatibility. Surface micro-structuring can drastically reduce friction and wear by promoting hydrostatic friction due to synovial fluid. Ultra-High Molecular Weight Polyethylene (UHMWPE) is a suitable material for these applications due to its strong chemical resistance, excellent resistance to stress, cracking, abrasion, and wear, and self-lubricating property. However, surface micro-texturing of UHMWPE is hardly achievable with the currently available processes. The present study investigates UHMWPE's micro-textured surface replication capability via injection molding, comparing the results with the more easily processable High-Density Polyethylene (HDPE). Four different micro-texture cavities were designed and fabricated on a steel mold by micro-EDM milling, and used for the experimental campaign. Complete samples were fabricated with both materials. Then, the mold and samples were geometrically characterized, considering the dimensions of the features and the texture layout. The replication analysis showed that HDPE samples present geometrical errors that span from 1% to 9% resulting in an average error of 4.3%. In comparison, the UHMWPE samples display a higher variability, although still acceptable, with percentage errors ranging from 2% to 31% and an average error of 11.4%.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
micro-EDM structured surface; micro-injection molding; micro-texturing; Ultra-High Molecular Weight Polyethylene
Elenco autori:
Fassi, Irene; Modica, FRANCESCO GIOVANNI; Surace, Rossella; Basile, Vito
Autori di Ateneo:
BASILE VITO
FASSI IRENE
MODICA FRANCESCO GIOVANNI
SURACE ROSSELLA
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/462415
Pubblicato in:
MICROMACHINES
Journal
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URL

https://www.mdpi.com/2072-666X/14/3/523
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