Evidence map›Paper›PMID 42738183›Full record

ArticleMaterials (Basel, Switzerland)2026

Machinability Enhancement of Ti6Al7Nb Biomedical Alloy Through MWCNT-Nanofluid MQL and Vortex Tube-Assisted Side Milling.

Aqib Mashood Khan, Barlas Gökduman, Erkin Duman, Hasan H Hijji, Yusuf Furkan Yapan, Muhammad Ahmed Khan, Adnan Javed, Alper Uysal

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Aqib Mashood KhanCollege of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.ORCID 0000-0002-4446-4478
Barlas GökdumanDepartment of Mechanical Engineering, Yildiz Technical University, Besiktas, Istanbul 34349, Türkiye.
Erkin DumanGedik Vocational School, Department of Machine and Metal Technology, Istanbul Gedik University, Istanbul 34913, Türkiye.ORCID 0000-0001-5842-0436
Hasan H HijjiMechanical Engineering Department, College of Engineering and Architecture, Umm Al-Qura University, P.O. Box 5555, Makkah 21955, Saudi Arabia.ORCID 0000-0001-9977-3000
Yusuf Furkan YapanDepartment of Mechanical Engineering, Yildiz Technical University, Besiktas, Istanbul 34349, Türkiye.ORCID 0000-0001-9684-4117
Muhammad Ahmed KhanSchool of Mechanical Engineering, Shandong University, Jinan 250061, China.
Adnan JavedCollege of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.ORCID 0009-0009-2732-3110
Alper UysalDepartment of Mechanical Engineering, Yildiz Technical University, Besiktas, Istanbul 34349, Türkiye.ORCID 0000-0002-5513-4431

Funding

Umm al-Qura University 26UQU4320355GSSR01
6 · The paper itself

Abstract

Ti6Al7Nb biomedical alloy is difficult to machine because its low thermal conductivity and high chemical reactivity promote heat accumulation, high cutting loads, and poor surface quality. This study evaluated the side milling performance of Ti6Al7Nb under dry machining, vortex tube cooling, and MWCNT-assisted nanoparticle minimum quantity lubrication (NMQL) to identify a more sustainable and effective machining strategy. Experiments were conducted using two cutting speeds and three feed rates, and machinability was assessed in terms of cutting temperature, resultant cutting force, surface roughness, Tol wear and tool life, chip morphology, and multi-criteria ranking. Compared with dry machining, vortex tube cooling provided the strongest thermal control, reducing cutting temperature by 25-36% compared with dry conditions, owing to the cold air stream generated by the Ranque-Hilsch effect. MWCNT-NMQL produced the greatest reductions in cutting force and surface roughness, with improvements of 7-28% and 10-20%, respectively, compared with dry conditions, due to improved lubrication, reduced adhesion, possible tribofilm formation, rolling/sliding effects of MWCNTs, and enhanced heat transfer. Chip morphology observations confirmed that both assisted environments improved chip formation compared with dry machining. The overall ranking identified vortex tube cooling at Vc = 30 m/min and f = 0.08 mm/rev as the best overall condition, while NMQL was more favorable for force reduction and surface finish improvement. The findings of this study provide practical guidance for the selection of sustainable and effective cutting strategies in the precision machining of biomedical titanium alloys.

Indexed as

cutting forcesmachined surface qualitymulti-walled carbon nanotubesside millingvortex tube cooling

Identifiers

PMID42738183
PMCPMC13567584

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.