Evidence map›Paper›PMID 36903202›Full record

ArticleMaterials (Basel, Switzerland)2023

Multiresponse Optimization of Selective Laser Melting Parameters for the Ni-Cr-Al-Ti-Based Superalloy Using Gray Relational Analysis.

Anton V Agapovichev, Alexander I Khaimovich, Vitaliy G Smelov, Viktoriya V Kokareva, Evgeny V Zemlyakov, Konstantin D Babkin, Anton Y Kovchik

Full text 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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Anton V AgapovichevEngine Production Technology Department, Samara National Research University, 34 Moskovskoye Shosse, 443086 Samara, Russia.ORCID 0000-0002-0042-7333
Alexander I KhaimovichEngine Production Technology Department, Samara National Research University, 34 Moskovskoye Shosse, 443086 Samara, Russia.
Vitaliy G SmelovEngine Production Technology Department, Samara National Research University, 34 Moskovskoye Shosse, 443086 Samara, Russia.ORCID 0000-0001-9556-6290
Viktoriya V KokarevaEngine Production Technology Department, Samara National Research University, 34 Moskovskoye Shosse, 443086 Samara, Russia.
Evgeny V ZemlyakovWorld-Class Research Center "Advanced Digital Technologies", State Marine Technical University, 190121 Saint Petersburg, Russia.
Konstantin D BabkinWorld-Class Research Center "Advanced Digital Technologies", State Marine Technical University, 190121 Saint Petersburg, Russia.ORCID 0000-0003-1098-1319
Anton Y KovchikWorld-Class Research Center "Advanced Digital Technologies", State Marine Technical University, 190121 Saint Petersburg, Russia.

Funding

The research is partially funded by the Ministry of Science and Higher Education of the Russian Federation as part of World-class Research Center program: Advanced Digital Technologies 075-15-2020-903
6 · The paper itself

Abstract

The selective laser melting technology is of great interest in the aerospace industry since it allows the implementation of more complex part geometries compared to the traditional technologies. This paper presents the results of studies to determine the optimal technological parameters for scanning a Ni-Cr-Al-Ti-based superalloy. However, due to a large number of factors affecting the quality of the parts obtained by selective laser melting technology, the optimization of the technological parameters of the scanning is a difficult task. In this work, the authors made an attempt to optimize the technological scanning parameters which will simultaneously correspond to the maximum values of the mechanical properties ("More is better") and the minimum values of the dimensions of the microstructure defect ("Less is better"). Gray relational analysis was used to find the optimal technological parameters for scanning. Then, the resulting solutions were compared. As a result of the optimization of the technological parameters of the scanning by the gray relational analysis method, it was found that the maximum values of the mechanical properties were achieved simultaneously with the minimum values of the dimensions of a microstructure defect, at a laser power of 250 W and a scanning speed of 1200 mm/s. The authors present the results of the short-term mechanical tests for the uniaxial tension of the cylindrical samples at room temperature.

Indexed as

additive manufacturinggray relational analysismechanical propertiesmetal powdermicrostructureNi-Cr-Al-Tiselective laser melting

Identifiers

PMID36903202
PMCPMC10004078

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read26
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.