Multi-objective optimization of the internal diamond burnishing process

The paper presents a new single-operation two-transition technology for processing holes in sliding bearing bushings made of CuAl8Fe3 bronze. The technology was realized on a vertical machine center Haas MiniMill. During the first transition, the hole was formed by a new combined cutting tool and wa...

Full description

Saved in:
Bibliographic Details
Published inMaterials and manufacturing processes Vol. 37; no. 4; pp. 428 - 436
Main Authors Duncheva, Galya V., Maximov, Jordan T., Anchev, Angel P., Dunchev, Vladimir P., Argirov, Yaroslav B.
Format Journal Article
LanguageEnglish
Published Taylor & Francis 12.03.2022
Subjects
bearing
bronze
burnishing
bushings
cual8fe3
Diamond
micro-hardness
multi-objective
nsga-ii
optimization
process
sliding
surface
texture
Online AccessGet full text

Cover

More Information
Summary:The paper presents a new single-operation two-transition technology for processing holes in sliding bearing bushings made of CuAl8Fe3 bronze. The technology was realized on a vertical machine center Haas MiniMill. During the first transition, the hole was formed by a new combined cutting tool and was then diamond burnished via a new device with an elastic beam providing the burning force. The deforming element was a spherical-ended polycrystalline diamond. The 2D and 3D surface texture parameters of the processed holes obtained after the first and second transitions were studied via experiments and regression analyses. Through one-objective optimization of the first transition, the optimal feed and cutting velocity values were found under a minimum roughness criterion. The optimal governing factors (diamond insert radius, burnishing force and feed rate) of the diamond burnishing process were determined through multi-objective optimization. The objective functions - micro-hardness and height and shape parameters of the surface texture - were selected in terms of processed hole requirements: improved lubrication conditions and increased micro-hardness. The formulated multi-objective optimization task was solved via non-dominated sorting genetic algorithm (NSGA-II). Experimental verifications confirmed the results. The processing series of holes showed that the new technology ensures good repeatability of the surface integrity characteristics.
ISSN:1042-6914
1532-2475
DOI:10.1080/10426914.2021.1981937