Evidence map›Paper›PMID 41768552›Full record

ArticleNonlinear dynamics2026

Fluid-structure dynamics of a vibro-impact capsule robot in multiphase intestinal environments.

Zepeng Wang, Jiyuan Tian, Yang Liu, Ana Neves, Shyam Prasad

Abstract read
In one paragraph

Article in Nonlinear dynamics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Zepeng WangExeter Small-Scale Robotics Laboratory, Engineering Department, University of Exeter, Exeter, EX4 4QF UK.
Jiyuan TianDivision of Smart Technologies for Tumor Therapy, German Cancer Research Center (DKFZ) Site Dresden, Dresden, Germany.ORCID 0009-0003-4467-3776
Yang LiuExeter Small-Scale Robotics Laboratory, Engineering Department, University of Exeter, Exeter, EX4 4QF UK.ORCID 0000-0003-3867-5137
Ana NevesEngineering Department, University of Exeter, Exeter, EX4 4QF UK.ORCID 0000-0002-4581-525X
Shyam PrasadRoyal Devon University Healthcare NHS Foundation Trust, Barrack Road, Exeter, EX2 5DW UK.ORCID 0000-0002-5503-2144

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The gastrointestinal tract contains complex fluids, such as mucus, chyme, and water, that can significantly influence capsule robot locomotion by reducing friction or introducing hydrodynamic drag. This study presents a bidirectional fluid-structure interaction model that captures the dynamics of a vibro-impact capsule self-propelling through a fluid-filled small intestine. The model couples the motion of the magnetically actuated capsule, the viscoelastic deformation of the intestinal wall, and a gas-liquid two-phase flow field. Numerical predictions were systematically validated against experimental measurements under controlled laboratory conditions. The results show that an increased liquid volume fraction generates stronger resistance to capsule motion, more so than fluid viscosity alone, by causing fluid accumulation and vortex formation, thereby elevating hydrodynamic pressure and drag. Moreover, capsule performance is improved with higher excitation frequencies and duty cycles, enhancing both propulsion and motion robustness. This work provides a validated numerical platform for designing and optimising magnetically driven capsule robots, advancing their potential for diagnostic and therapeutic applications in the gastrointestinal tract.

Indexed as

Capsule robotFinite elementFluid-structure interactionTwo-phase flowVibro-impact

Identifiers

PMID41768552
PMCPMC12945900

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.