Evidence map›Paper›PMID 35683274›Full record

ArticleMaterials (Basel, Switzerland)2022

Efficiency of Tool Steel Cutting by Water Jet with Recycled Abrasive Materials.

Andrzej Perec, Aleksandra Radomska-Zalas, Anna Fajdek-Bieda, Elzbieta Kawecka

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
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  5. Review
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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.

Andrzej PerecFaculty of Technology, Jacob of Paradies University, 66-400 Gorzów Wielkopolski, Poland.ORCID 0000-0003-3132-9514
Aleksandra Radomska-ZalasFaculty of Technology, Jacob of Paradies University, 66-400 Gorzów Wielkopolski, Poland.ORCID 0000-0002-3548-1807
Anna Fajdek-BiedaFaculty of Technology, Jacob of Paradies University, 66-400 Gorzów Wielkopolski, Poland.ORCID 0000-0001-5861-5209
Elzbieta KaweckaFaculty of Technology, Jacob of Paradies University, 66-400 Gorzów Wielkopolski, Poland.ORCID 0000-0001-8492-4275

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-pressure water jet machining is characterized by wide possibilities of cutting diverse materials together with multi-layer materials with dissimilar properties, accurate cutting complex profiles, as well as conducting them in uncommon conditions, especially in cases of thick materials. An additional advantage of water jet technology is its environmental friendliness. This paper presents tests of the cutting performance of tool steel with the use of an abrasive water jet (AWJ). The state-of-the-art has shown insufficient scientific evidence in AWJ tool steels cutting using recycled abrasive materials. Therefore, the main motivation for this paper was to carry out research from an environment aspect. The reuse of abrasives and the use of recycled materials have immense potential to reduce processing costs while remaining environmentally friendly. The RSM method was used for modeling and optimization. A response surface design (RSM) is a package of an advanced design-of-experiment (DOE) approaches that support better understanding and optimize response, exploring the relationships between several explanatory variables and one or more response variables. Based on this research, feed rate is the key factor influencing the depth of cut, while the water nozzle diameter has a secondary effect, and the concentration of abrasive has the least influence on the depth of cut. High level of variance (the percentage of variability in the reaction that is interpreted by the formula) confirms that the models fit well to the investigational data.

Indexed as

abrasive water jetAWJcutting depthmodelingmolybdenum tool steeloptimizationprocess efficiencyresponse surface methodRSM

Identifiers

PMID35683274
PMCPMC9182330

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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.