Evidence map›Paper›PMID 36234286›Full record

ReviewMaterials (Basel, Switzerland)2022

The Influence of Surface Texturing of Ceramic and Superhard Cutting Tools on the Machining Process-A Review.

Sergey N Grigoriev, Thet Naing Soe, Khaled Hamdy, Yuri Pristinskiy, Alexander Malakhinsky, Islamutdin Makhadilov, Vadim Romanov, Ekaterina Kuznetsova, Pavel Podrabinnik, Alexandra Yu Kurmysheva and 2 more

Abstract readReview
In one paragraph

Review 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 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. Article
  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

12 authors.

Sergey N GrigorievLaboratory of Electric Current Assisted Sintering Technologies, Moscow State University of Technology "STANKIN", Vadkovsky per. 1, 127055 Moscow, Russia.ORCID 0000-0002-8239-5354
Thet Naing SoeDepartment of High-Efficiency Machining Technologies, Moscow State University of Technology "STANKIN", Vadkovsky per. 1, 127055 Moscow, Russia.
Khaled HamdyDepartment of High-Efficiency Machining Technologies, Moscow State University of Technology "STANKIN", Vadkovsky per. 1, 127055 Moscow, Russia.
Yuri PristinskiyLaboratory of Electric Current Assisted Sintering Technologies, Moscow State University of Technology "STANKIN", Vadkovsky per. 1, 127055 Moscow, Russia.ORCID 0000-0003-1345-862X
Alexander MalakhinskyDepartment of High-Efficiency Machining Technologies, Moscow State University of Technology "STANKIN", Vadkovsky per. 1, 127055 Moscow, Russia.
Islamutdin MakhadilovDepartment of High-Efficiency Machining Technologies, Moscow State University of Technology "STANKIN", Vadkovsky per. 1, 127055 Moscow, Russia.
Vadim RomanovDepartment of High-Efficiency Machining Technologies, Moscow State University of Technology "STANKIN", Vadkovsky per. 1, 127055 Moscow, Russia.ORCID 0000-0001-6216-9248
Ekaterina KuznetsovaDepartment of High-Efficiency Machining Technologies, Moscow State University of Technology "STANKIN", Vadkovsky per. 1, 127055 Moscow, Russia.ORCID 0000-0002-9550-9816
Pavel PodrabinnikLaboratory of Electric Current Assisted Sintering Technologies, Moscow State University of Technology "STANKIN", Vadkovsky per. 1, 127055 Moscow, Russia.ORCID 0000-0002-5970-303X
Alexandra Yu KurmyshevaLaboratory of Electric Current Assisted Sintering Technologies, Moscow State University of Technology "STANKIN", Vadkovsky per. 1, 127055 Moscow, Russia.
Anton SmirnovLaboratory of Electric Current Assisted Sintering Technologies, Moscow State University of Technology "STANKIN", Vadkovsky per. 1, 127055 Moscow, Russia.ORCID 0000-0002-7970-2595
Nestor Washington Solís PinargoteLaboratory of Electric Current Assisted Sintering Technologies, Moscow State University of Technology "STANKIN", Vadkovsky per. 1, 127055 Moscow, Russia.ORCID 0000-0002-3350-8383

Funding

Russian Science Foundation 21-19-00790
6 · The paper itself

Abstract

Machining is an indispensable manufacturing process for a wide range of engineering materials, such as metals, ceramics, and composite materials, in which the tool wear is a serious problem, which affects not only the costs and productivity but also the quality of the machined components. Thus, the modification of the cutting tool surface by application of textures on their surfaces is proposed as a very promising method for improving tool life. Surface texturing is a relatively new surface engineering technology, where microscale or nanoscale surface textures are generated on the cutting tool through a variety of techniques in order to improve tribological properties of cutting tool surfaces by reducing the coefficient of friction and increasing wear resistance. In this paper, the studies carried out to date on the texturing of ceramic and superhard cutting tools have been reviewed. Furthermore, the most common methods for creating textures on the surfaces of different materials have been summarized. Moreover, the parameters that are generally used in surface texturing, which should be indicated in all future studies of textured cutting tools in order to have a better understanding of its effects in the cutting process, are described. In addition, this paper proposes a way in which to classify the texture surfaces used in the cutting tools according to their geometric parameters. This paper highlights the effect of ceramic and superhard textured cutting tools in improving the machining performance of difficult-to-cut materials, such as coefficient of friction, tool wear, cutting forces, cutting temperature, and machined workpiece roughness. Finally, a conclusion of the analyzed papers is given.

Indexed as

ceramic cutting materialsceramic cutting toolsuperhard cutting materialssuperhard cutting toolsurface texturingtextured cutting toolsultrahard cutting materials

Identifiers

PMID36234286
PMCPMC9572690

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.