Evidence map›Paper›PMID 39597231›Full record

ReviewMaterials (Basel, Switzerland)2024

Durability of Forging Tools Used in the Hot Closed Die Forging Process-A Review.

Grzegorz Ficak, Aneta Łukaszek-Sołek, Marek Hawryluk

Abstract readReview
In one paragraph

Review in Materials (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. 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

3 authors.

Grzegorz FicakGK FORGE, Przemysłowa 10 Street, 43-440 Goleszów, Poland.ORCID 0009-0005-9271-1284
Aneta Łukaszek-SołekFaculty of Metals Engineering and Industrial Computer Science, AGH University of Krakow, Av. Mickiewicza 30, 30-059 Krakow, Poland.ORCID 0000-0002-5245-7737
Marek HawrylukDepartment of Metal Forming, Welding and Metrology, Wroclaw University of Science and Technology, Lukasiewicza Street 5, 50-370 Wroclaw, Poland.ORCID 0000-0002-9338-4327

Funding

Ministry of Science and Higher Education of Poland IMPLEMENTATION DOCTORINE 7th edition program
6 · The paper itself

Abstract

The article presents the classification of the wear mechanisms of forging tools. The durability of dies can be enhanced through a variety of methods, including the selection of appropriate hot working tool steel, the application of effective heat treatment, the utilization of advanced surface engineering techniques, and the incorporation of lubricating and cooling agents. Two popular methods of tool regeneration, such as re-profiling and laser regeneration, are presented. The issue of numerical wear prediction based on the Archard model, the correlation of this model with experimental results, low-cycle fatigue (HTLCF), and an alternative method based on artificial neural networks are discussed. The paper aims to present currently known wear mechanisms and the methods of increasing and predicting tool durability.

Indexed as

artificial neural networksdestructive mechanismshot die forginglubricationnumerical calculationstool steeltribologywear

Identifiers

PMID39597231
PMCPMC11595367

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.