Determining Relevant 3D Roughness Parameters for Sandblasted Surfaces: A Methodological Approach

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.

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Publication Details

Journal
Machines
Published
2025-12-05
DOI
https://doi.org/10.3390/machines13121122
Primary Topic
Erosion and Abrasive Machining
Type
article
Field-Weighted Citation Impact
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article

Determining Relevant 3D Roughness Parameters for Sandblasted Surfaces: A Methodological Approach

Maxence Bigerelle, Stéphane Benayoun, Ingrid Proriol-Serre, Raphaël Deltombe et al.
Machines
Erosion and Abrasive Machining
article

Determining Relevant 3D Roughness Parameters for Sandblasted Surfaces: A Methodological Approach

Maxence Bigerelle, Stéphane Benayoun, Ingrid Proriol-Serre, Raphaël Deltombe, Karine Anselme, Julie Lemesle, Eddy Chevallier, Romain Vayron, Frédéric Robache, Nadiia Zubchuk
article en

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.

MachinesVol. 13(12)
École Centrale de Lyon (FR), Centre National de la Recherche Scientifique (FR), Laboratoire d'Automatique, de Mécanique et d'Informatique Industrielles et Humaines (FR), Laboratoire de Tribologie et Dynamique des Systèmes (FR), Institut de Sciences des Matériaux de Mulhouse (FR), Unité Matériaux et Transformations (FR), Université Polytechnique Hauts-de-France (FR)
Openalex Percentile: Top 79%
Erosion and Abrasive Machining
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