Evidence map›Paper›PMID 42280019›Full record

ArticleMaterials (Basel, Switzerland)2026

Analysis of the Influence of the Outlet Slot on the Distribution of the Product as a Method of Assessing the Quality of Jaw Crusher Operation.

Paweł Ciężkowski, Jarosław Stankiewicz, Sebastian Bąk, Bogumił Chiliński, Jacek Caban

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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  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

5 authors.

Paweł CiężkowskiDivision of Numerical Methods and Intelligent Structures, Faculty of Automotive and Construction Machinery Engineering, Warsaw University of Technology, Ludwika Narbutta 84 Street, 02-524 Warsaw, Poland.ORCID 0000-0001-6769-8579
Jarosław StankiewiczŁukasiewicz-Warsaw Institute of Technology, 6/8 Racjonalizacji St., 02-673 Warsaw, Poland.
Sebastian BąkDivision of Construction Machinery, Faculty of Automotive and Construction Machinery Engineering, Warsaw University of Technology, 84 Narbutta St., 02-524 Warsaw, Poland.ORCID 0000-0002-9901-9873
Bogumił ChilińskiDivision of Numerical Methods and Intelligent Structures, Faculty of Automotive and Construction Machinery Engineering, Warsaw University of Technology, Ludwika Narbutta 84 Street, 02-524 Warsaw, Poland.ORCID 0000-0001-6085-2596
Jacek CabanFaculty of Mechanical Engineering, Lublin University of Technology, 36 Nadbystrzycka St., 20-618 Lublin, Poland.ORCID 0000-0002-7546-8703

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Producers of aggregates must prove that their products meet required standards. Effective decision-making in crushing processes requires analyzing how crusher operation affects component wear, particularly crushing plates. Their deterioration alters the crusher's geometry, increasing the closed side setting (CSS) and influencing the final product's granulation. Monitoring these changes is difficult but essential for ensuring product quality. This study presents a measurement system designed to assess wear in jaw crusher plates and its impact on the crushed material. Since aggregates and crushers vary widely, operational parameters such as wear rate, power consumption, and crushing force also differ, affecting product composition. Therefore, reliable measurement methods are crucial for accurate process evaluation and decision-making. In the analysis of the results, the Lorentzian distribution was used as a flexible tool to mathematically describe changes in the particle size distribution of the ground product. The proposed approach combines granulometric analysis of the crushed product with a Lorentzian model to predict crushing performance. Laboratory experiments confirmed the method's effectiveness, demonstrating its ability to monitor plate wear and predict resulting product characteristics. In particular, it was observed that a relatively small increase in the CSS (approximately 9.23%) did not result in significant changes in the particle size distribution, indicating the presence of a "non-sensitive" operating range. The results show that systematic wear assessment can improve control over crushing operations and enhance product quality verification.

Indexed as

crushing plate wear coefficientjaw crusherLorentzian modelmineral processingnon-sensitive range of outlet slot gapparameters estimationparticle size distribution

Identifiers

PMID42280019
PMCPMC13258796

What OpenQuestion holds

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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.