Evidence map›Paper›PMID 36837283›Full record

ArticleMaterials (Basel, Switzerland)2023

Minimizing the Main Strains and Thickness Reduction in the Single Point Incremental Forming Process of Polyamide and High-Density Polyethylene Sheets.

Nicolae Rosca, Mihaela Oleksik, Liviu Rosca, Eugen Avrigean, Tomasz Trzepieciński, Sherwan Mohammed Najm, Valentin Oleksik

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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.

Nicolae RoscaFaculty of Engineering, "Lucian Blaga" University of Sibiu, Victoriei Bd. 10, 550024 Sibiu, Romania.ORCID 0000-0002-5337-9080
Mihaela OleksikFaculty of Engineering, "Lucian Blaga" University of Sibiu, Victoriei Bd. 10, 550024 Sibiu, Romania.ORCID 0000-0002-8742-3801
Liviu RoscaFaculty of Engineering, "Lucian Blaga" University of Sibiu, Victoriei Bd. 10, 550024 Sibiu, Romania.ORCID 0000-0001-8095-256X
Eugen AvrigeanFaculty of Engineering, "Lucian Blaga" University of Sibiu, Victoriei Bd. 10, 550024 Sibiu, Romania.
Tomasz TrzepiecińskiDepartment of Manufacturing Processes and Production Engineering, Faculty of Mechanical Engineering and Aeronautics, Rzeszow University of Technology, al. Powst. Warszawy 8, 35-959 Rzeszów, Poland.ORCID 0000-0002-4366-0135
Sherwan Mohammed NajmKirkuk Technical Institute, Northern Technical University, Kirkuk 36001, Iraq.ORCID 0000-0003-3412-0716
Valentin OleksikFaculty of Engineering, "Lucian Blaga" University of Sibiu, Victoriei Bd. 10, 550024 Sibiu, Romania.ORCID 0000-0002-0582-1647

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polymeric materials are increasingly used in the automotive industry, aeronautics, medical device industry, etc. due to their advantage of providing good mechanical strength at low weight. The incremental forming process for polymeric materials is gaining increasing importance because of the advantages it offers: relatively complex parts can be produced at minimum cost without the need for complex and expensive dies. Knowing the main strains and especially the thickness reduction is particularly important as it directly contributes to the mechanical strength of the processed parts, including in operation. For the design of experiments, the Taguchi method was chosen, with an L

Indexed as

analysis of variancehigh-density polyethyleneincremental formingmain strainspolyamidesignal-to-noisethickness reduction

Identifiers

PMID36837283
PMCPMC9963744

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.