Evidence map›Paper›PMID 41179164›Full record

ArticleACS omega2025

Design and Validation of a Laboratory-Scale System for Investigating Coking Byproducts.

Christian Manera, Guilherme Liziero Ruggio Da Silva, Bruno Deves Flores, Eduardo Osório, Marcelo Godinho, Antônio Cezar Faria Vilela

Abstract read
In one paragraph

Article in ACS omega, 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

6 authors.

Christian ManeraGraduate Program in Mining, Metallurgical and Materials Engineering, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre 90040-060, Rio Grande do Sul, Brazil.ORCID https://orcid.org/0000-0002-3110-5636
Guilherme Liziero Ruggio Da SilvaGerdau Ouro Branco, Ouro Branco 36420000, Minas Gerais, Brazil.
Bruno Deves FloresGraduate Program in Mining, Metallurgical and Materials Engineering, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre 90040-060, Rio Grande do Sul, Brazil.
Eduardo OsórioGraduate Program in Mining, Metallurgical and Materials Engineering, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre 90040-060, Rio Grande do Sul, Brazil.
Marcelo GodinhoGraduate Program in Process Engineering and Technologies, University of Caxias do Sul (UCS), Caxias do Sul 95070-560, Rio Grande do Sul, Brazil.ORCID https://orcid.org/0000-0001-8630-1995
Antônio Cezar Faria VilelaGraduate Program in Mining, Metallurgical and Materials Engineering, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre 90040-060, Rio Grande do Sul, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The byproducts of metallurgical coke production play a significant role in the economic well-being of integrated steel mills. In this context, this study aimed to design, construct and validate a laboratory-scale system to investigate the yields of the three main coking products: coke, coal tar and coke oven gas (COG). Laboratory yields of coke, coal tar and COG, as well as the COG composition, were validated against industrial values obtained with the same coking blend. The apparatus, comprising a coking retort and a cracking column, was designed based on systems described in the literature. The coking process was carried out at 1000 °C with a heating rate of 3 °C/min. The optimal cracking temperature and residence time for reproducing industrial conditions were determined to be 800 °C and 30 min, respectively. Under these conditions, laboratory coke yields differed by 1.6% from industrial yields, while coal tar yields were equivalent. Average volumetric yields of COG were 341 Nm

Identifiers

PMID41179164
PMCPMC12573177

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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.