Evidence map›Paper›PMID 40059190›Full record

ArticleScientific reports2025

Machining characteristics and process parameter optimization of Near-dry electrical discharge milling of titanium alloy.

Shaopeng Kang, Xianghua Zhuo, Linglei Kong, Yanxin Li, Yafeng He

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

5 authors.

Shaopeng KangSchool of Mechanical Engineering, Jiangsu University of Technology, Changzhou, 213001, China.
Xianghua ZhuoSchool of Mechanical Engineering, Jiangsu University of Technology, Changzhou, 213001, China.
Linglei KongSchool of Mechanical Engineering, Jiangsu University of Technology, Changzhou, 213001, China. konglingl@nuaa.edu.cn.
Yanxin LiSchool of Mechanical Engineering, Jiangsu University of Technology, Changzhou, 213001, China.
Yafeng HeDepartment of Aeronautics and Mechanics, Changzhou Institute of Technology, Changzhou, 213002, China.

Funding

Changzhou Leading Innovative Talent Introduction and Cultivation Project CQ20220103Changzhou Science and Technology Support Plan (Social Development) CE20235051College Students' Innovation and Entrepreneurship Training Program 202411463002ZNational Natural Science Foundation of China 52205470Natural Science Foundation of the Jiangsu Higher Education Institutions of China 22KJB460021Postgraduate Practice Innovation Program of Jiangsu University Of Technology XSJCX23_02
6 · The paper itself

Abstract

Titanium alloy (Ti-6Al-4V) is a difficult-to-machine material, known for its excellent physical and chemical properties. However, traditional machining methods incur high tool wear costs when processing this material. The near-dry electrical discharge milling (N-EDM) method, which removes excess material via electroerosion, mitigates the impact of titanium alloy's hardness and strength, enabling effective material cutting. To enhance machining efficiency and surface quality, this study employs a simulation model of the inter-electrode flow field, combined with experimental data, to investigate the effect of milling thickness on key machining parameters and determine the optimal thickness. Subsequently, a four-factor, three-level (L

Indexed as

Fluid simulationGrey relational analysis (GRA)Near-dry EDMOrthogonal experimentTi-6Al-4V

Identifiers

PMID40059190
PMCPMC11891323

What OpenQuestion holds

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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.