Evidence map›Paper›PMID 38730871›Full record

ArticleMaterials (Basel, Switzerland)2024

Investigation of the Penetration Performance of the Radial Forging Process for Wrought Aluminium Alloy.

Yongfei Wang, Linhua Xiong, Dongxiao Feng, Shengdun Zhao, Yi Guo

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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

5 authors.

Yongfei WangSchool of Mechanical Engineering, Xi'an Jiaotong University, Xi'an 710049, China.
Linhua XiongSchool of Mechanical Engineering, Xi'an Jiaotong University, Xi'an 710049, China.
Dongxiao FengNational Key Laboratory of Metal Forming Technology and Heavy Equipment, Xi'an 710049, China.
Shengdun ZhaoSchool of Mechanical Engineering, Xi'an Jiaotong University, Xi'an 710049, China.ORCID 0000-0002-9191-9017
Yi GuoSchool of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an 710049, China.

Funding

Fund of the National Key Laboratory of Metal Forming Technology and Heavy Equipment S2208100.W01National Natural Science Foundation of China 52105397
6 · The paper itself

Abstract

With the wide application potential of wrought aluminium alloy in aerospace, automobile and electronic products, high-quality aluminium bars prepared by the radial forging (RF) process have received extensive attention. Penetration performance refers to the depth of radial plastic deformation of forgings, which is the key factor in determining the quality of forging. In this work, the penetration performance of the radial forging process for 6063 wrought aluminium bars is investigated by simulation using FORGE software. The minimum reduction amount of the hammer is calculated based on the forging penetration theory of forging. The influence of process parameters including forging ratio (FR) and billet temperature on the effective stress and hammer load in the RF process are investigated. The RF-deformed billet is then produced with the optimal process parameters obtained from the simulation results. The average grain size of aluminium alloy semi-solid spherical material is used to evaluate the forging penetration. Simulation results showed that the effective strain at the edge and the centre of the RF-deformed billet gradually increases, but the increasing speed of the effective strain at the edge becomes low. The hammer load first decreases quickly and then gradually maintains stability by increasing the FR. It is found that low billet temperature and high FR should be selected as appropriate process parameters under the allowable tonnage range of RF equipment. Under an isothermal temperature of 630 °C and a sustaining time of 10 min, the difference in the average grain dimension between the edge and the centre positions of the starting extruded blank is 186.43 μm, while the difference in the average grain dimension between the edge and the centre positions of the RF-deformed blank is 15.09 μm. The improvement ratio of penetration performance for the RF-deformed blank is obtained as 91.19%.

Indexed as

forging penetrationmicrostructurenumerical simulationradial forging processwrought aluminium alloy

Identifiers

PMID38730871
PMCPMC11084621

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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.