Evidence map›Paper›PMID 39134574›Full record

ArticleScientific reports2024

Experimental investigation of the distribution patterns of micro-scratches in abrasive waterjet cutting surface.

Tao Yang, Wei Zhao, Xijing Zhu, Quan Wen

Abstract read
In one paragraph

Article in Scientific reports, 2024. 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
–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

1 citing paper in PubMed.

  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

4 authors.

Tao YangShanxi Key Laboratory of Advanced Manufacturing Technology, North University of China, Taiyuan, 030051, China.
Wei ZhaoShanxi Key Laboratory of Advanced Manufacturing Technology, North University of China, Taiyuan, 030051, China. weizhao1987@nuc.edu.cn.
Xijing ZhuShanxi Key Laboratory of Advanced Manufacturing Technology, North University of China, Taiyuan, 030051, China.
Quan WenShanxi Key Laboratory of Advanced Manufacturing Technology, North University of China, Taiyuan, 030051, China.

Funding

China Postdoctoral Science Foundation funded project 2019M661067National Natural Science Foundation of China 51905499Natural Science Research Program of Shanxi Province, General Project for Basic Research (Exploratory Research Category) 202303021211155Shanxi Province Graduate Practice and Innovation Project 2023SJ19
6 · The paper itself

Abstract

The existence of striations, and scratches in Abrasive waterjet (AWJ) cutting surface necessitates an exploration of these features for enhancing the cutting accuracy of AWJ machining. This article investigates surface roughness and micro-scratch morphology characteristics on brass cutting surfaces. According to the variation law of surface roughness values, the cutting section can be divided into three regions: the initial region, smooth region, and rough region. Numerous micron-scale scratches were observed in the cutting section. The scratch length, width, and depth values all show an increasing trend as the cutting depth increases, with the scratch length experiencing the greatest growth and variability. The influence of position and traverse speed on scratch size was studied using variance analysis. Furthermore, the length and width of the scratches on the cutting surface are significantly influenced by their position, accounting for 89.19% and 81.13%, respectively. Traverse speed had a minor effect on scratch length and width, accounting for 0.01% and 2.64% respectively. The depth of the scratches is influenced by their position on the cutting surface at a rate of 41.12%, while traverse speed had an impact of 38.10%. Finally, a mathematical method based on standard scores was proposed to assess the quality of the cutting section based on micro-scratch dimension.

Indexed as

Abrasive waterjetCutting surfaceDistribution patternMicro-scratches morphological characteristics

Identifiers

PMID39134574
PMCPMC11319450

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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.