Evidence map›Paper›PMID 41098487›Full record

ArticleACS ES&T water2025

Hierarchical Riblet Structures for Enhanced Drag Reduction and Broader Operational Range in Water Pipelines.

Mirvahid Mohammadpour Chehrghani, Jamal Seyyed Monfared Zanjani, Doekle Yntema, David Matthews, Matthijn de Rooij

Abstract read
In one paragraph

Article in ACS ES&T water, 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
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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.

Mirvahid Mohammadpour ChehrghaniFaculty of Engineering Technology, University of Twente, 7500AE Enschede, The Netherlands.ORCID https://orcid.org/0000-0002-8446-4552
Jamal Seyyed Monfared ZanjaniFaculty of Engineering Technology, University of Twente, 7500AE Enschede, The Netherlands.ORCID https://orcid.org/0000-0002-9632-0230
Doekle YntemaWetsus, European Centre of Excellence for Sustainable Water Technology, Oostergoweg 9, 8911 MA Leeuwarden, The Netherlands.
David MatthewsFaculty of Engineering Technology, University of Twente, 7500AE Enschede, The Netherlands.
Matthijn de RooijFaculty of Engineering Technology, University of Twente, 7500AE Enschede, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In drinking water distribution systems (DWDS), skin-friction drag in turbulent pipe flows contributes significantly to energy losses. Passive drag-reducing surfaces, such as shark-skin-inspired riblets, have shown promise in controlled environments but often underperform under variable flow conditions. This study addresses this limitation by developing and experimentally evaluating a Hierarchical Step-shaped Riblet (HSR) design aimed at sustaining drag reduction under the variable and fluctuating flow conditions typical of water pipelines. Building on conventional riblets (CR) and hierarchical riblets (HR), the HSR configuration introduces progressively tapered riblet tips to the hierarchical design to reduce shear-exposed surface area while maintaining effective interaction with vortices of varying size. Riblet designs were fabricated using high-resolution 3D printing and tested in variable flow conditions, simulating the flows in typical drinking water distribution networks. Drag reduction performance was evaluated across a Reynolds number range of 4200 to 20,000 using friction factor analysis and nondimensional riblet spacing. The HSR design achieved the highest peak drag reduction of 11.2% and sustained favorable performance across a broader range of flow conditions than the CR and HR designs. The results demonstrate that multiscale geometric tuning, combined with reduced shear exposure, enhances drag reduction across a broadened operational range suitable for drinking water distribution pipes.

Indexed as

biomimetic surfacesdrinking water distributionenergy efficiencyfrictional lossespipe flowribletsturbulent flow

Identifiers

PMID41098487
PMCPMC12519487

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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.