Evaluation of Mono and Hybrid Nanofluids in MQL Milling of Ti–6Al–4V: Machining Performance, Surface Integrity and Sustainability

Abstract Ti–6Al–4V alloy's machining poses considerable challenges owing to its low thermal conductivity, high strength, and interaction with cutting tools, leading to issues related to machining performance and surface quality. To address these challenges, in the presented study, the minimum quantity lubrication method using the hBN/MWCNT hybrid nanofluid (HNMQL) was used for the first time in the milling of Ti–6Al–4V, and the machining response was evaluated regarding cutting force, feed force, cutting temperature and cutting tool condition, the surface integrity was evaluated regarding surface roughness, surface topography, microhardness, and microstructure, and the sustainability was evaluated regarding totaal carbon emissions and total machining cost. In comparison to the dry-cutting, the HNMQL approach improved the cutting force, feed force, cutting temperature, surface roughness, surface topography, total carbon emissions, and total machining cost emissions by 63.5%, 87%, 65.8%, 65.8%, 74.7%, 27.8% and 24.6% respectively. In addition, it prevented the wear and damage mechanisms in the cutting tool. The HNMQL cutting condition, which provided the lowest microhardness, showed 16.4% less work hardening than the dry cutting condition, which provided the highest microhardness, and the results were also confirmed by the microstructural changes. As a result, it was realized that addressing the difficulties in machining the Ti–6Al–4V using the hBN/MWCNT HNMQL method improves the machining performance, surface/sub-surface properties, and environmental impact.

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Publication Details

Journal
International Journal of Precision Engineering and Manufacturing-Green Technology
Published
2025-05-28
DOI
https://doi.org/10.1007/s40684-025-00757-6
Citations
6
Primary Topic
Advanced machining processes and optimization
Type
article
Field-Weighted Citation Impact
4.28

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article

Evaluation of Mono and Hybrid Nanofluids in MQL Milling of Ti–6Al–4V: Machining Performance, Surface Integrity and Sustainability

Murat Yücel, Alper Uysal, Osman Sağdıç, Hakan Zafer KIZILKAYA et al.
6 citations
International Journal of Precision Engineering and Manufacturing-Green Technology
Advanced machining processes and optimization
4.28
article

Evaluation of Mono and Hybrid Nanofluids in MQL Milling of Ti–6Al–4V: Machining Performance, Surface Integrity and Sustainability

Murat Yücel, Alper Uysal, Osman Sağdıç, Hakan Zafer KIZILKAYA, Yusuf Furkan Yapan, Atakan Aydın
article en
6 citations

Abstract

Abstract Ti–6Al–4V alloy's machining poses considerable challenges owing to its low thermal conductivity, high strength, and interaction with cutting tools, leading to issues related to machining performance and surface quality. To address these challenges, in the presented study, the minimum quantity lubrication method using the hBN/MWCNT hybrid nanofluid (HNMQL) was used for the first time in the milling of Ti–6Al–4V, and the machining response was evaluated regarding cutting force, feed force, cutting temperature and cutting tool condition, the surface integrity was evaluated regarding surface roughness, surface topography, microhardness, and microstructure, and the sustainability was evaluated regarding totaal carbon emissions and total machining cost. In comparison to the dry-cutting, the HNMQL approach improved the cutting force, feed force, cutting temperature, surface roughness, surface topography, total carbon emissions, and total machining cost emissions by 63.5%, 87%, 65.8%, 65.8%, 74.7%, 27.8% and 24.6% respectively. In addition, it prevented the wear and damage mechanisms in the cutting tool. The HNMQL cutting condition, which provided the lowest microhardness, showed 16.4% less work hardening than the dry cutting condition, which provided the highest microhardness, and the results were also confirmed by the microstructural changes. As a result, it was realized that addressing the difficulties in machining the Ti–6Al–4V using the hBN/MWCNT HNMQL method improves the machining performance, surface/sub-surface properties, and environmental impact.

International Journal of Precision Engineering and Manufacturing-Green Technology
Yıldız Technical University (TR), Turkish Aerospace Industries (Turkey) (TR)
Türk Havacılık ve Uzay Sanayii
Openalex Percentile: Top 6%
Advanced machining processes and optimization
4.28
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