Evidence map›Paper›PMID 36233948›Full record

ArticleMaterials (Basel, Switzerland)2022

Coal Ash Enrichment with Its Full Use in Various Areas.

Victoria Petropavlovskaya, Tatiana Novichenkova, Mikhail Sulman, Kirill Petropavlovskii, Roman Fediuk, Mugahed Amran

Open access · goldAbstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2022. 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
0.9field-weighted citation impact, top 29% of its field
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

1 citing paper in PubMed, 8 citations in OpenAlex.

  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

6 authors at 3 institutions in 3 countries.

Victoria PetropavlovskayaTver State Technical University, 170026 Tver, Russia.
Tatiana NovichenkovaTver State Technical University, 170026 Tver, Russia.
Mikhail SulmanTver State Technical University, 170026 Tver, Russia.
Kirill PetropavlovskiiTver State Technical University, 170026 Tver, Russia.ORCID 0000-0001-5066-185X
Roman FediukPolytechnic Institute, Far Eastern Federal University, 690922 Vladivostok, Russia.ORCID 0000-0002-2279-1240
Mugahed AmranDepartment of Civil Engineering, College of Engineering, Prince Sattam bin Abdulaziz University, Alkharj 11942, Saudi Arabia.ORCID 0000-0002-4434-6295
Tver State Technical University · RUFar Eastern Federal University · RUPrince Sattam Bin Abdulaziz University · SA

Funding

Russian Science Foundation 21-79-30004
6 · The paper itself

Abstract

Increasing the percentage of recycling of various industrial waste is an important step towards caring for the environment. Coal ash is one of the most large-tonnage wastes, which is formed as a result of the operation of thermal power plants. The aim of this work is to develop a technology for the complex processing of coal ash. The tasks to achieve this aim are to develop a technology for the complex enrichment and separation of coal ash into components, with the possibility of their use in various applications, in particular: processing the aluminosilicate part as a pozzolanic additive to cement; carbon underburning for fuel briquettes; the iron-containing part for metallurgy and fertilizers. Complex enrichment and separation into components of coal ash were carried out according to the author's technology, which includes six stages: disintegration, flotation, two-stage magnetic separation, grinding, and drying. The aluminosilicate component has a fairly constant granulometric composition with a mode of 13.56 μm, a specific surface area of 1597.2 m

Indexed as

ashcoalcomponentenergyenrichmentfuelrecyclingseparation

Identifiers

PMID36233948
PMCPMC9571827
OpenAlexW4297235440

What OpenQuestion holds

Textmetadata
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.