Evidence map›Paper›PMID 39859746›Full record

ArticleMaterials (Basel, Switzerland)2025

Influence of Processing Parameters on Flow Behaviour of Ultra-Large-Section Beam Blank Continuous Casting Mould.

Yulong Deng, Nanzhou Deng, Jintao Duan, Yibo Li, Qi Gao, Weihua Ni, Jingquan Peng

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2025. 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

7 authors.

Yulong DengLight Alloy Research Institute, Central South University, Changsha 410017, China.ORCID 0009-0006-2685-7119
Nanzhou DengLight Alloy Research Institute, Central South University, Changsha 410017, China.ORCID 0009-0000-4917-9396
Jintao DuanChina National Heavy Machinery Research Institute Co., Ltd., Xi'an 710054, China.
Yibo LiLight Alloy Research Institute, Central South University, Changsha 410017, China.ORCID 0000-0002-2408-9148
Qi GaoChina National Heavy Machinery Research Institute Co., Ltd., Xi'an 710054, China.
Weihua NiLight Alloy Research Institute, Central South University, Changsha 410017, China.
Jingquan PengLight Alloy Research Institute, Central South University, Changsha 410017, China.

Funding

Sinomach (China) B2205471
6 · The paper itself

Abstract

The complex cross-sectional shape of oversized beam blanks and the size effect of ultra-large-section beam blanks create severe issues related to the surface and internal quality of the castings. To ensure quality and control in the production of ultra-large-section beam blanks, a numerical and physical model of molten steel flow in the three-port submerged entrance nozzle (SEN) mould, with section dimensions of 1300 × 510 × 140 mm, was established. This model was created using numerical simulations and NSGA-II genetic algorithm optimisation, and the impact of the casting speed and SEN immersion depth on the mould's flow behaviour was investigated. The results showed that a deeper SEN immersion depth resulted in, a greater impact depth of the molten steel, and the surface flow velocity decreased. Both the impact depth and the surface flow velocity of the molten steel increased with increasing casting speed. The physical simulation and numerical simulation of the molten steel flow form and flow velocity distribution in the mould were in good agreement with each other, thus verifying the accuracy of the numerical simulation. The process parameters derived from this study were all within an appropriate range, which can help to improve the quality of continuously cast beam blanks. This also provides guidance for selecting optimal parameters for actual continuous casting production processes.

Indexed as

continuous castingflow behaviournumerical simulationultra-large-section beam blank

Identifiers

PMID39859746
PMCPMC11766968

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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.