Evidence map›Paper›PMID 42281653›Full record

ArticleHardwareX2026

Design, development and testing of a digitally instrumented slurry pump test rig enabling sustainability‑conscious pump assessment in mining.

Alan Varghese, Paul Huggett, Evert Lessing, Ghulam Mubashar Hassan, Ali Karrech

Abstract read
In one paragraph

Article in HardwareX, 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

5 authors.

Alan VargheseUniversity of Western Australia, 35 Stirling Hwy, Crawley WA 6009, Australia.
Paul HuggettIME Consultants Pty Ltd, Suite 41, Level 4/4 Ventnor Ave, West Perth WA 6005, Australia.
Evert LessingMetso Corporation, Rauhalanpuisto 9, 02230 Espoo, Finland.
Ghulam Mubashar HassanUniversity of Western Australia, 35 Stirling Hwy, Crawley WA 6009, Australia.
Ali KarrechUniversity of Western Australia, 35 Stirling Hwy, Crawley WA 6009, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Slurry pumps are becoming paramount for the mining and mineral processing industries that heavily rely on them to transport solid-liquid mixtures. Basic test rigs and clear water (as opposed to digitized/smart rigs and slurry) are typically used to validate the functioning of slurry pumps and generate performance curves that can be empirically adjusted for slurry conditions. However, these adjustments are rarely aligned with the actual operating conditions, which may lead to discrepancies between expected and real-world performance. This paper presents the design and development of a slurry pump test rig that is proposed to advance digitalization in the mining sector. Unlike conventional setups, this rig is meant to handle real slurry mixtures. It is equipped with a set of sensors that monitor pressure, temperature, slurry density and flow rate and capture performance continuously. The collected data will be instrumental in developing a digital monitoring of the pump condition and possibly assessing its reliability in real time. By enabling digital performance validation and condition monitoring under controlled yet realistic slurry operating conditions, the proposed test rig provides a practical experimental platform to support energy and water aware pump operation and improved maintenance decision‑making. The digitalization system, consisting of data acquisitions systematic analysis and interpretation, can enhance maintenance strategies, operational reliability, and the overall efficiency of slurry transport in mining operations.

Indexed as

DigitalizationMiningSlurry pumpsSustainabilityTest rig

Identifiers

PMID42281653
PMCPMC13251777

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.