Roughness variability estimation of microscopic surfaces during engineering wear process-Application to total hip implant

Ola Suleiman Ahmad (1, 2, 3, 4) , Yann Gavet (1, 2, 3, 4) , Jean Geringer (1, 2, 3, 4) , Jean-Charles Pinoli (1, 2, 3, 4)

1 CIS-ENSMSE - Centre Ingénierie et Santé
2 LGF-ENSMSE - Laboratoire Georges Friedel
3 STBio-ENSMSE - Surfaces et Tissus Biologiques
4 IFRESIS - Institut Fédératif de Recherche en Sciences et Ingénierie de la Santé

This paper proposes a new method to estimate the roughness changes from topographic features of microscopic surfaces during an engineering wear process. We demonstrate that the evolution of the significant upcrossings of surface topography is the most efficient way to estimate the roughness changes associated with the small-scale changes during the time of wear process. The motivation of this work comes from the fact that the surface roughness is, largely, interpolated with many important mechanical and physical phenomena, such as friction, and wear behaviour during the mechanical contact between joined and sliding surfaces. A special application is investigated on UHMWPE (Ultra High Molecular Weight Polythene) components involved in total hip implants. The aim is to understand the in-vitro wear mechanism of the UHMWPE surface by estimating its roughness evolution.

Mots clés: Roughness variability; microscopic surfaces; hip implant; surface topography; prosthetic implant; UHMWPE

Domaines: Biomécanique [physics.med-ph]; Biomécanique [physics.med-ph]; Génie des procédés; Matériaux

Ola Suleiman Ahmad, Yann Gavet, Jean Geringer, Jean-Charles Pinoli. Roughness variability estimation of microscopic surfaces during engineering wear process-Application to total hip implant. 11th International Conference on Quality Control by Artificial Vision, May 2013, Fukuoka, Japan. pp. ⟨hal-00870518⟩