Topography and wettability characterization of surfaces manufactured by SLM and treated by chemical etching

Autor: Anita Catapano, Nicolas Saintier, T. Thenard, M. El May, Michel Mesnard, R. Allena
Přispěvatelé: Institut de Biomécanique Humaine Georges Charpak (IBHGC), Université Sorbonne Paris Nord-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM), Institut de Mécanique et d'Ingénierie (I2M), Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Arts et Métiers Sciences et Technologies, The first author is grateful to ENSAM Fundation for supporting this research work through the RNC Santé of Arts et Métiers Science and Technology engineering school. Specimens were produced on the Futurprod Additive Manufacturing Plateform of I2M Institute (Bordeaux, France).
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Mechanics of Advanced Materials and Structures
Mechanics of Advanced Materials and Structures, 2020, pp.1-18. ⟨10.1080/15376494.2020.1836292⟩
ISSN: 1537-6532
DOI: 10.1080/15376494.2020.1836292⟩
Popis: Selective Laser Melting process represents an interesting opportunity in the biomedical field to fabricate customized implants. However, the surface roughness of components obtained through additive manufacturing is a major limitation and affects the surface wettability. In the present work, chemical etching is adopted to deal with such an issue. To do so, the effects of chemical etching parameters (such as immersion time and composition of the solution) on the surface roughness, weight loss and wettability is analyzed. Different samples (obtained through different printing orientations) are considered. The tests show that the roughness and the wetting of the surfaces are improved thanks to chemical etching. As a major result, the most influencing parameters on surface wetting are two: the roughness and the material properties (which vary with samples depth). The first author is grateful to ENSAM Fundation for supporting this research work through the RNC Santé of Arts et Métiers Science and Technology engineering school. Specimens were produced on the Futurprod Additive Manufacturing Plateform of I2M Institute (Bordeaux, France).
Databáze: OpenAIRE