Evidence map›Paper›PMID 42195627›Full record

ArticleMaterials (Basel, Switzerland)2026

Research on Tin Bath Bottom Bricks for Float Glass Furnaces.

Kuiqing Guo, Benjun Cheng, Weibin Xu, Xiaocheng Liang, Liming Zou, Wencheng Wang, Guoqi Liu

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2026. 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.

Kuiqing GuoSchool of Energy Science and Engineering, Central South University, Changsha 410083, China.
Benjun ChengSchool of Energy Science and Engineering, Central South University, Changsha 410083, China.
Weibin XuSchool of Energy Science and Engineering, Central South University, Changsha 410083, China.
Xiaocheng LiangSchool of Materials Science and Engineering, Shanghai University, Shanghai 200444, China.ORCID 0009-0000-3520-3551
Liming ZouSchool of Energy Science and Engineering, Central South University, Changsha 410083, China.
Wencheng WangSchool of Energy Science and Engineering, Central South University, Changsha 410083, China.
Guoqi LiuSchool of Materials Science and Engineering, Shanghai University, Shanghai 200444, China.

Funding

National Natural Science Foundation of China (U24A20101)
6 · The paper itself

Abstract

The bottom brick is a critical component of float glass furnace tin baths, serving under harsh conditions including high temperature, tin penetration, hydrogen diffusion and alkali attack. Traditional flint clay-based bottom bricks suffer from high porosity and insufficient service performance. In this study, a high-performance low-cement castable was developed by introducing mullite aggregates to partially replace flint clay. The effects of mullite particle size and addition content on sintering behavior, mechanical properties, thermal shock resistance, refractoriness under load and hydrogen diffusion were systematically investigated. The results demonstrate that, compared with the existing tin bath bottom bricks applied in float glass furnaces, the introduction of 18 wt% mullite with a particle size of 5-3 mm can significantly increase the bulk density, reduce the apparent porosity, enhance the mechanical strength at both room temperature and high temperature, and achieve a higher refractoriness under load and lower hydrogen diffusion capacity. Accordingly, a novel tin bath bottom brick with excellent comprehensive properties for float glass furnaces was successfully developed.

Indexed as

float glass furnacelow-cement castablemechanical propertiesmullitethermal shock resistance

Identifiers

PMID42195627
PMCPMC13208301

What OpenQuestion holds

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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.