Evidence map›Paper›PMID 31213028›Full record

ArticleMaterials (Basel, Switzerland)2019

Investigation of Cutting Force in Longitudinal-Torsional Ultrasonic-Assisted Milling of Ti-6Al-4V.

Ying Niu, Feng Jiao, Bo Zhao, Guofu Gao

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

4 authors.

Ying NiuSchool of Mechanical and Power Engineering, Henan Polytechnic University, Jiaozuo 454000, China. niuying@hpu.edu.cn.
Feng JiaoSchool of Mechanical and Power Engineering, Henan Polytechnic University, Jiaozuo 454000, China. jiaofeng@hpu.edu.cn.
Bo ZhaoSchool of Mechanical and Power Engineering, Henan Polytechnic University, Jiaozuo 454000, China. zhaob@hpu.edu.cn.
Guofu GaoSchool of Mechanical and Power Engineering, Henan Polytechnic University, Jiaozuo 454000, China. gaogf@hpu.edu.cn.

Funding

National Natural Science Foundation of China 51675164National Natural Science Foundation of China 51875179National Natural Science Foundation of China U1604255
6 · The paper itself

Abstract

In this study, we propose a longitudinal-torsion ultrasonic-assisted milling (LTUM) machining method for difficult-to-cut materials-such as titanium alloy-in order to realize anti-fatigue manufacturing. In addition, a theoretical prediction model of cutting force is established. To achieve this, we used the cutting edge trajectory of LTUM to reveal the difference in trajectory between LTUM and traditional milling (TM). Then, an undeformed chip thickness (UCT) model of LTUM was constructed. From this, the cutting force model was able to be established. A series of experiments were subsequently carried out to verify this LTUM cutting force model. Based on the established model, the influence of several parameters on cutting force was analyzed. The results showed that the established theoretical model of cutting force was in agreement with the experimental results, and that, compared to TM, the cutting force was lower in LTUM. Specifically, the cutting force in the feed direction, Fx, decreased by 24.8%, while the cutting force in the width of cut direction Fy, decreased by 29.9%.

Indexed as

cutting forcelongitudinal-torsional ultrasonic vibrationmillingtheoretical prediction modelTi-6Al-4V

Identifiers

PMID31213028
PMCPMC6630841

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.