Evidence map›Paper›PMID 39660205›Full record

ArticleHeliyon2024

Surface forming mechanism and numerical simulation study in four-roll flexible rolling forming.

Peng Chen, Shihong Lu

Abstract read
In one paragraph

Article in Heliyon, 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

2 authors.

Peng ChenCollege of Mechanic and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, 210016, China.
Shihong LuCollege of Mechanic and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, 210016, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigates the surface forming mechanism in four-roll flexible rolling forming processes, addressing issues of low efficiency and significant residual stresses, particularly when dealing with lightweight high-strength materials such as LY12 aluminum alloy. Initially, the study systematically analyzes the variation in sheet curvature radius under different forming methods, considering the separate and combined actions of side rolls and flexible rolls in the pre-bending forming process. Subsequently, actual forming data is obtained by conducting four-roll flexible rolling forming on LY12 aluminum alloy experimental material. A numerical model is then established using finite element analysis to simulate key parameters such as stress, deformation, and temperature distribution during the forming process. Adjustments to process parameters are made based on the analysis of numerical simulation results to achieve optimized forming. Additionally, the uniformity of four-roll flexible rolling forming of LY12 aluminum alloy with different hardness and thickness is examined. The research findings reveal that optimizing process parameters leads to a 14.95 % improvement in forming accuracy and a 30.52 % reduction in residual stress for LY12 aluminum alloy sheets, significantly enhancing product quality and efficiency. This study not only deepens the understanding of the four-roll flexible rolling forming process but also provides a feasible optimization parameter scheme. The results offer specific guidance for the application of lightweight high-strength materials such as LY12 aluminum alloy in actual production, thereby providing important technical support for improving forming efficiency and quality.

Indexed as

Forming accuracyFour-roll flexible rolling formingLY12 aluminum alloyNumerical simulationSurface forming

Identifiers

PMID39660205
PMCPMC11629239

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.