Evidence map›Paper›PMID 41166016›Full record

ArticleMedical & biological engineering & computing2026

Strategies to predict and decrease flow rate pulsation in a rotary peristaltic pump with novel tube design.

Alexandros Anastasiadis, Nikolaos Rogkas, Achileas Tsoukalis, Christos Manopoulos, Vasilios Spitas

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Article in Medical & biological engineering & computing, 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.

Alexandros AnastasiadisLaboratory of Machine Design and Dynamics, National Technical University of Athens, Athens, Greece.
Nikolaos RogkasLaboratory of Machine Design and Dynamics, National Technical University of Athens, Athens, Greece. nrogkas@mail.ntua.gr.
Achileas TsoukalisMicrel Medical Devices SA, Koropi, Athens, Greece.
Christos ManopoulosLaboratory of Biofluid Mechanics & Biomedical Technology, National Technical University of Athens, Athens, Greece.
Vasilios SpitasLaboratory of Machine Design and Dynamics, National Technical University of Athens, Athens, Greece.

Funding

RESEARCH-CREATE-INNOVATE MIS: 5032787RESEARCH-CREATE-INNOVATE T1EDK-01366
6 · The paper itself

Abstract

Peristaltic pumps are commonly used in medical applications like cardiopulmonary bypass and drug infusion due to their minimal contact with bio-fluids and precise flow control. However, these pumps generate inherent flow pulsations, which can cause backflow or strain on the fluid, potentially leading to issues like hemolysis in blood. This study investigated the mechanics of pulsation in the output mass flow rate of peristaltic pumps and explored strategies for reduction. Using an optimized tube geometry, 3D fluid-structure interaction simulations were conducted under realistic conditions. Tracking the pressure variations before and after each roller revealed a direct correlation with the transient drops in mass flow rate during roller disengagement. By adjusting geometric parameters, results indicated that selecting an optimal roller diameter could reduce pulsation by 20%. Variations in tube wall stiffness and curvature radius had minimal impact on mass flow rate. Notably, removing external support from the pump housing near the outlet reduces flow pulsation by up to 23% by enabling a smoother disengagement of the leading roller. Finally, this paper introduces a cost-effective volumetric approach to estimate mass flow rate trends during full tube occlusion, showing good agreement with the CFD model data.

Indexed as

Infusion PumpsPeristalsisPulsatile FlowCardiopulmonary BypassComputer SimulationEquipment DesignHumansHydrodynamicsElastic tubeFlow ratePeristaltic pumpPulsating flowSimulation

Identifiers

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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.