Evidence map›Paper›PMID 35888876›Full record

ArticleMicromachines2022

The Effects of Heat Treatment on Microstructure and Mechanical Properties of Selective Laser Melting 6061 Aluminum Alloy.

Wei Liu, Shan Huang, Shuangsong Du, Ting Gao, Zhengbin Zhang, Xuehui Chen, Lei Huang

Abstract read
In one paragraph

Article in Micromachines, 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

7 authors.

Wei LiuSchool of Mechanical and Electrical Engineering, Anhui Jianzhu University, Hefei 230601, China.ORCID 0000-0002-4011-5844
Shan HuangSchool of Mechanical and Electrical Engineering, Anhui Jianzhu University, Hefei 230601, China.
Shuangsong DuInstitute of Plasma Physics, Chinese Academy of Sciences, Hefei 230031, China.
Ting GaoSchool of Mechanical and Electrical Engineering, Anhui Jianzhu University, Hefei 230601, China.
Zhengbin ZhangSchool of Mechanical and Electrical Engineering, Anhui Jianzhu University, Hefei 230601, China.
Xuehui ChenSchool of Mechanical and Electrical Engineering, Anhui Jianzhu University, Hefei 230601, China.
Lei HuangSchool of Mechanical and Electrical Engineering, Anhui Jianzhu University, Hefei 230601, China.

Funding

and the Natural Science Foundation of Anhui JianzhuUniversity Grant No. 2019QDZ20the Anhui Province College Excellent Young Talents Fund Project No. gxyq2020034the National Natural Science Foundation of China No. 51875152
6 · The paper itself

Abstract

Selective laser melting technology can be used for forming curved panels of 6061 aluminum alloy thermal shield devices for the International Thermonuclear Experimental Reactor (ITER), in order to make the formed parts with better performance. This study proposes different heat treatment processes, including annealed treatment at 300 °C for 2 h, solution treatment at 535 °C and then aging at 175 °C over 2 h, to control the mechanical behavior of the 6061 aluminum alloy samples prepared by selective laser melting (SLM). The mechanical properties such as ductility, tensile strength, and hardness of SLM 6061 aluminum alloy were investigated, and the microstructure of the samples was analyzed. The eutectic silicon skeleton shape disappeared after annealing treatment at 300 °C for 2 h. The tensile strength decreased by 22.86% (from 315 MPa to 243 MPa of the deposited state samples), and the elongation increased from 2.01% to 6.89%. Moreover, the hardness reduced from 120.07 HV

Indexed as

6061 aluminum alloyheat treatmentmechanical propertiesmicrostructureselective laser melting

Identifiers

PMID35888876
PMCPMC9324477

What OpenQuestion holds

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LicenceCC BY
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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.