Evidence map›Paper›PMID 36296001›Full record

ArticleMicromachines2022

Prediction of Surface Roughness in Gas-Solid Two-Phase Abrasive Flow Machining Based on Multivariate Linear Equation.

Wenhua Wang, Wei Yuan, Jie Yu, Qianjian Guo, Shutong Chen, Xianhai Yang, Jianchen Cong

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Micromachines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 57% of its field
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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
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

7 authors at 1 institution in 1 country.

Wenhua WangSchool of Mechanical Engineering, Shandong University of Technology, Zibo 255000, China.ORCID 0000-0002-7192-971X
Wei YuanSchool of Mechanical Engineering, Shandong University of Technology, Zibo 255000, China.
Jie YuSchool of Mechanical Engineering, Shandong University of Technology, Zibo 255000, China.
Qianjian GuoSchool of Mechanical Engineering, Shandong University of Technology, Zibo 255000, China.
Shutong ChenSchool of Mechanical Engineering, Shandong University of Technology, Zibo 255000, China.
Xianhai YangSchool of Mechanical Engineering, Shandong University of Technology, Zibo 255000, China.
Jianchen CongSchool of Mechanical Engineering, Shandong University of Technology, Zibo 255000, China.
Shandong University of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The main purpose of this study is to explore a surface roughness prediction model of Gas-Solid Two-Phase Abrasive Flow Machining. In order to achieve the above purpose, an orthogonal experiment was carried out. Q235 steel as processing material and white corundum with different particle sizes as abrasive particles were used in the experiment. Shape and spindle speed were the main reference factors. The range method and factor trend graph are used to comprehensively analyze the experimental results of different processing stages of the detection point, and the optimal parameter combination of A

Indexed as

abrasive pool machininggas-solid two-phase flow principleorthogonal experimentsurface roughness prediction model

Identifiers

PMID36296001
PMCPMC9608661
OpenAlexW4303856919

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.