Evidence map›Paper›PMID 37687635›Full record

ArticleMaterials (Basel, Switzerland)2023

Experimental and Simulation Study on Welding Characteristics and Parameters of Gas Metal Arc Welding for Q345qD Thick-Plate Steel.

Hui Zhang, Rong Li, Shuxuan Yang, Liebang Zhan, Ming Xiong, Ban Wang, Juyong Zhang

Open access · goldAbstract 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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.7field-weighted citation impact, top 18% of its field
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, 13 citations in OpenAlex.

  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 at 3 institutions in 1 country.

Hui ZhangSchool of Mechanical Engineering, Hangzhou Dianzi University, Hangzhou 310018, China.
Rong LiSchool of Mechanical Engineering, Hangzhou Dianzi University, Hangzhou 310018, China.
Shuxuan YangSchool of Mechanical Engineering, Hangzhou Dianzi University, Hangzhou 310018, China.
Liebang ZhanSchool of Mechanical Engineering, Hangzhou Dianzi University, Hangzhou 310018, China.
Ming XiongState Key Laboratory of Space Weather, National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China.ORCID 0000-0001-9427-7366
Ban WangSchool of Mechanical Engineering, Hangzhou Dianzi University, Hangzhou 310018, China.
Juyong ZhangSchool of Mechanical Engineering, Hangzhou Dianzi University, Hangzhou 310018, China.ORCID 0000-0002-2965-5612
Hangzhou Dianzi University · CNChinese Academy of Sciences · CNNational Astronomical Observatories · CN

Funding

Open Research Program of CAS Key Laboratory of Solar Activity KLSA201903Specialized Research Fund for State Key Laboratories E12612A02SZhejiang Province Commonweal Projects of China LGG22E050015
6 · The paper itself

Abstract

The welding and construction processes for H-type thick-plate bridge steel involve complex multi-pass welding processes, which make it difficult to ensure its welding performance. Accordingly, it is crucial to explore the inherent correlations between the welding process parameters and welding quality, and apply them to welding robots, eliminating the instability in manual welding. In order to improve welding quality, the GMAW (gas metal arc welding) welding process parameters are simulated, using the Q345qD bridge steel flat joint model. Four welds with X-shaped grooves are designed to optimize the parameters of the welding current, welding voltage, and welding speed. The optimal welding process parameters are investigated through thermal-elastic-plastic simulation analysis and experimental verification. The results indicate that, when the welding current is set to 230 A, the welding voltage to 32 V, and the welding speed to 0.003 m/s, the maximum deformation of the welded plate is 0.52 mm, with a maximum welding residual stress of 345 MPa. Both the simulation results of multi-pass welding, and the experimental tests meet the welding requirements, as they show no excessive stress or strain. These parameters can be applied to building large steel-frame bridges using welding robots, improving the quality of welded joints.

Indexed as

GMAWthermal–mechanical couplingthick-plate bridge steelwelding process parameters

Identifiers

PMID37687635
PMCPMC10488816
OpenAlexW4386283114

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.