Evidence map›Paper›PMID 41622309›Full record

ArticleScientific reports2026

Integrated assessment of tool wear, chip morphology, surface ıntegrity and energy consumption in sustainable milling of Inconel 718.

Hakan Yurtkuran

Abstract read
In one paragraph

Article in Scientific reports, 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

1 author.

Hakan YurtkuranDepartment of Machine and Metal Technologies, Akdagmadeni Vocational School, Yozgat Bozok University, Yozgat, Turkey. hakan.yurtkuran@bozok.edu.tr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigates the effects of four cooling/lubrication strategies (Dry, MQL, Cryogenic and Cryo-MQL) on the machinability of Inconel 718 during milling at cutting speeds of 40, 60 and 90 m/min. Power consumption, surface roughness, tool wear and chip morphology were systematically evaluated under constant feed rate and depth of cut. The results demonstrate that both cutting speed and cooling/lubrication strategy significantly influence machinability performance. Dry cutting resulted in the highest power consumption and the most severe tool wear due to excessive thermal and tribological loads. In contrast the Cryo-MQL strategy achieved up to 10% energy savings at low cutting speeds and exhibited consistently reduced tool wear across the investigated cutting conditions. Cryogenic cooling improved surface integrity at low cutting speeds while comparable surface roughness values were obtained for all strategies at higher cutting speeds due to improved thermal stability. Overall the findings indicate that Cryo-MQL provides favorable performance trends and practical advantages for milling of Inconel 718 by simultaneously reducing thermal and tribological effects within the investigated parameter range.

Identifiers

PMID41622309
PMCPMC12916817

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Registered trials

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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.