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Evergreen
Article . 2026 . Peer-reviewed
Data sources: Crossref
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ZENODO
Article . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
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Optimization of Surface Roughness and Diameter Error in Thin-Walled AA6063 during Internal Turning under Minimum Quantity Lubrication

Authors: Suryaningrat, Albertus Rianto; Wahjudi, Arif; Suhardjono; Azka, Muizuddin;

Optimization of Surface Roughness and Diameter Error in Thin-Walled AA6063 during Internal Turning under Minimum Quantity Lubrication

Abstract

Thin-walled aluminum alloy 6063 (AA6063) components are commonly used in landing gear manufacturing through internal turning. However, tool and workpiece deflection cause diameter errors, altering the depth of cut, inducing chatter, and degrading surface finish. While cutting fluids reduce friction and vibration, conventional mineral oils harm the environment. This study employed the Taguchi L9 (3³) design and the Multi-Response Performance Index (MRPI) to optimize internal turning under minimum quantity lubrication (MQL) using virgin coconut oil (VCO). MRPI combines surface roughness and diameter error into a single index for parameter selection. The optimal settings—depth of cut 0.8 mm, feed rate 0.075 mm/rev, and cutting speed 200 m/min—yielded 4.72 µm surface roughness and 0.09 mm diameter error, demonstrating that MQL with VCO enhances machining quality and supports sustainable manufacturing.

Published in Evergreen, Volume 13, Issue 01. Citation formats available via DOI link.

Keywords

green manufacture, internal turning, surface roughness, thin-walled, MQL

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
gold