Towards the determination of machining allowances and surface roughness of 3D-printed parts subjected to abrasive flow machining

Samoilenko, Mykhailo, Lanik, Greg and Brailovski, Vladimir. 2021. « Towards the determination of machining allowances and surface roughness of 3D-printed parts subjected to abrasive flow machining ». Journal of Manufacturing and Materials Processing, vol. 5, nº 4.
Compte des citations dans Scopus : 2.

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Abstract

Abrasive flow machining (AFM) is considered as one of the best-suited techniques for surface finishing of laser powder bed fused (LPBF) parts. In order to determine the AFM-related allowances to be applied during the design of LPBF parts, a numerical tool allowing to predict the material removal and the surface roughness of these parts as a function of the AFM conditions is developed. This numerical tool is based on the use of a simplified viscoelastic non-Newtonian medium flow model and calibrated using specially designed artifacts containing four planar surfaces with different surface roughnesses to account for the build orientation dependence of the surface finish of LPBF parts. The model calibration allows the determination of the abrasive medium-polished part slip coefficient, the fluid relaxation time and the abrading (Preston) coefficient, as well as of the surface roughness evolution as a function of the material removal. For model validation, LPBF parts printed from the same material as the calibration artifacts, but having a relatively complex tubular geometry, were polished using the same abrasive medium. The average discrepancy between the calculated and experimental material removal and surface roughness values did not exceed 25%, which is deemed acceptable for real-case applications. A practical application of the numerical tool developed was demonstrated using the predicted AFM allowances for the generation of a compensated computer-aided design (CAD) model of the part to be printed.

Item Type:	Peer reviewed article published in a journal
Professor:	Professor Brailovski, Vladimir
Affiliation:	Génie mécanique
Date Deposited:	26 Nov 2021 19:16
Last Modified:	16 Oct 2023 18:06
URI:	https://espace2.etsmtl.ca/id/eprint/23624

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