Determining Relevant 3D Roughness Parameters for Sandblasted Surfaces: A Methodological Approach
Year: 2025
Type: article
Abstract: This study presents a robust methodology for analyzing 3D roughness parameters to characterize sandblasted surfaces, identifying the most relevant descriptors for process optimization. Sandblasting with irregularly shaped corundum particles is performed using five grit sizes (25, 50, 90, 125, and 250 µm) and three pressure levels (2, 3, and 4 bar). The resulting surfaces are characterized through eight 3D roughness parameters: Sa, Spc, Sal, Sfd, Sdq, Sdr, Spd, and Str. A linear model of the form Q = a + b.D + d.D.P, where Q represents the roughness parameter, D is the average grit size, and P is the sandblasting pressure, is employed. For Spd, a nonlinear model, Spd = (a + b.D + d.D.P)2, yields a significantly improved determination coefficient, demonstrating the model’s enhanced ability to capture the complexity of the Spd parameter. The double-bootstrap analysis validates the statistical significance of all models, providing confidence intervals for each parameter. This approach emphasizes the importance of advanced 3D roughness descriptors for accurately analyzing surface textures in sandblasting processes, offering a reliable framework for surface characterization and industrial optimization.
Source: Machines
Institutions: Centre National de la Recherche Scientifique, Laboratoire d'Automatique, de Mécanique et d'Informatique Industrielles et Humaines, Université Polytechnique Hauts-de-France, Université de Haute-Alsace, Institut de Sciences des Matériaux de Mulhouse, Université de Lille, Unité Matériaux et Transformations, École Centrale de Lyon, Laboratoire de Tribologie et Dynamique des Systèmes
Language: English
Subfield: Computational Mechanics
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,896
Funder: Agence Nationale de la Recherche
OpenAlex ID: W4417040186
