Evidence map›Paper›PMID 38673112›Full record

ArticleMaterials (Basel, Switzerland)2024

Preparation and Performance of Ceramic Tiles with Steel Slag and Waste Clay Bricks.

Ying Ji, Enyao Li, Gang Zhu, Ruiqi Wang, Qianqian Sha

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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. 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.

Ying JiCollege of Materials Science and Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China.ORCID 0009-0001-6923-0838
Enyao LiCollege of Materials Science and Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China.
Gang ZhuChina Building Materials Industry Construction Xi'an Engineering Co., Ltd., Xi'an 710065, China.
Ruiqi WangCollege of Materials Science and Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China.
Qianqian ShaCollege of Materials Science and Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China.

Funding

Key Research and Development Plan of Shaanxi Province 2019TSLGY05-04
6 · The paper itself

Abstract

Steel slag and waste clay bricks are two prevalent solid waste materials generated during industrial production. The complex chemical compositions of these materials present challenges to their utilization in conventional alumina silicate ceramics manufacturing. A new type of ceramic tile, which utilizes steel slag and waste clay brick as raw materials, has been successfully developed in order to effectively utilize these solid wastes. The optimal composition of the ceramic material was determined through orthogonal experimentation, during which the effects of the sample molding pressure, the soaking time, and the sintering temperature on the ceramic properties were studied. The results show that the optimal ceramic tile formula was 45% steel slag, 35% waste clay bricks, and 25% talc. The optimal process parameters for this composition included a molding pressure of 25 MPa, a sintering temperature of 1190 °C, and a soaking time of 60 min. The prepared ceramic tile samples had compositions in which solid waste accounted for more than 76% of the total material. Additionally, they possessed a modulus of rupture of more than 73.2 MPa and a corresponding water absorption rate of less than 0.05%.

Indexed as

ceramic tilessolid waste resource utilizationsteel slagwaste clay bricks

Identifiers

PMID38673112
PMCPMC11050887

What OpenQuestion holds

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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.