Evidence map›Paper›PMID 38473670›Full record

ArticleMaterials (Basel, Switzerland)2024

Simulation Study on Temperature and Stress Fields in Mg-Gd-Y-Zn-Zr Alloy during CMT Additive Manufacturing Process.

Mingkun Zhao, Zhanyong Zhao, Wenbo Du, Peikang Bai, Zhiquan Huang

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Mingkun ZhaoSchool of Materials Science and Engineering, North University of China, Taiyuan 030051, China.
Zhanyong ZhaoSchool of Materials Science and Engineering, North University of China, Taiyuan 030051, China.ORCID 0000-0001-7798-3699
Wenbo DuNational Key Laboratory for Remanufacturing, Academy of Army Armored Forces, Beijing 100072, China.
Peikang BaiSchool of Materials Science and Engineering, North University of China, Taiyuan 030051, China.
Zhiquan HuangSchool of Mechanical Engineering, Taiyuan University of Science and Technology, Taiyuan 030602, China.

Funding

National Natural Science Foundation of China No. 52275389,52075357Natural Science Foundation of Shanxi Province 20210302123064Patent Transformation Special Plan Project of Shanxi No. 202201004
6 · The paper itself

Abstract

A new heat source combination, consisting of a uniform body heat source and a tilted double ellipsoidal heat source, has been developed for cold metal transfer (CMT) wire-arc additive manufacturing of Mg-Gd-Y-Zn-Zr alloy. Simulations were conducted to analyze the temperature field and stress distribution during the process. The optimal combination of feeding speed and welding speed was found to be 8 m/min and 8 mm/s, respectively, resulting in the lowest thermal accumulation and residual stress. Z-axis residual stress was identified as the main component of residual stress. Electron Backscatter Diffraction (EBSD) testing showed weak texture strength, and Kernel Average Misorientation (KAM) analysis revealed that the 1st layer had the highest residual stress, while the 11th layer had higher residual stress than the 6th layer. Microhardness in the 1st, 11th, and 6th layers varies due to residual stress impacts on dislocation density. Higher residual stress increases dislocation density, raising microhardness in components. The experimental results were highly consistent with the simulated results.

Indexed as

cold metal transfercombined heat sourcemagnesium rare earthresidual stresssimulation

Identifiers

PMID38473670
PMCPMC10934179

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.