Evidence map›Paper›PMID 41010156›Full record

ArticleMaterials (Basel, Switzerland)2025

Study of the Cutting Performance of Ti-6Al-4 V Alloys with Tools Fabricated with Different Microgroove Parameters.

Liang Xu, Dayong Yang, Zhiyang Zhang, Min Liu

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2025. 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

4 authors.

Liang XuSchool of Mechanical and Automotive Engineering, Guangxi University of Science and Technology, Liuzhou 545006, China.
Dayong YangSchool of Mechanical and Automotive Engineering, Guangxi University of Science and Technology, Liuzhou 545006, China.ORCID 0000-0002-9047-2698
Zhiyang ZhangSchool of Mechanical and Automotive Engineering, Guangxi University of Science and Technology, Liuzhou 545006, China.
Min LiuSchool of Mechanical and Automotive Engineering, Guangxi University of Science and Technology, Liuzhou 545006, China.

Funding

the National Natural Science Foundation of China no.52165055
6 · The paper itself

Abstract

Microtextured cutting tools are widely used because of their excellent performance in cutting difficult-to-machine materials. The cutting performance of cutting tools largely depends on the size parameters of the microtextures used. This study focuses on the machining of titanium alloy Ti-6Al4 V using microgrooved cutting tools under dry-cutting conditions. Special emphasis is placed on exploring cutting performance under specific combinations of microgroove parameters. To determine the optimal parameter combination for cutting, the effects of different microgroove parameters (including the diameter, depth, spacing, and spacing between grooves and cutting edges) on cutting force, tool wear, and chip morphology were investigated. In this study, femtosecond laser technology was used to prepare microgroove-textured cutting tools with different parameters, and the cutting performance of these tools was analyzed. The results show that, when the groove diameter is 80 μm, the depth is 60 μm, the spacing is 80 μm, and the distance between the groove and the tool tip is 120 μm, the cutting performance of the tool is optimal: the cutting force is reduced by 13.9%, the degree of tool wear is minimized, and the degree of chip curling is more uniform. The research results can be applied to the actual processing of Ti-6Al4 V, which can help tool design, selection, and microtexture parameter optimization.

Indexed as

cutting performance of cutting toolslaser-processed texturemicrogroove parametersmicrotextured cutting toolstitanium alloy (Ti-6Al4 V)

Identifiers

PMID41010156
PMCPMC12471644

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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.