Evidence map›Paper›PMID 42796140›Full record

ArticleMicromachines2026

Systematic Investigation of Transient Thermo-Fluid-Mass Coupling in a Hydrogen Knudsen Compressor Under Diverse Thermal Non-Equilibrium Waveforms.

Shuhan Chen, Qianhao Xiao, Biyuan Tan, Muyan Cao

Abstract read
In one paragraph

Article in Micromachines, 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

4 authors.

Shuhan ChenSchool of Energy and Power Engineering, Changsha University of Science and Technology, Changsha 410114, China.
Qianhao XiaoSchool of Energy and Power Engineering, Changsha University of Science and Technology, Changsha 410114, China.ORCID 0000-0002-1984-2676
Biyuan TanSchool of Energy and Power Engineering, Changsha University of Science and Technology, Changsha 410114, China.
Muyan CaoSchool of Energy and Power Engineering, Changsha University of Science and Technology, Changsha 410114, China.

Funding

Hunan Provincial Natural Science Foundation of China 2026JJ60187National Natural Science Foundation of China No. 52606046
6 · The paper itself

Abstract

Frequent heat-source drift and environmental disturbances keep hydrogen compressors in a state of thermal non-equilibrium, where transient interactions between thermal transpiration and Poiseuille flows significantly influence system stability and safety. The mechanisms by which time-dependent temperature patterns modulate this coupling remain insufficiently understood. This research addresses this knowledge gap by numerically solving slip-boundary Navier-Stokes equations for six periodic temperature waveforms: rectangular, segmented, square, Gaussian, triangular, and sinusoidal. The results indicate that the heating rate predominantly determines the intensity of forward Poiseuille flow, whereas cooling rate and plateau duration exert comparatively minor effects. Extending the high-temperature plateau from 0.1 to 0.5 s increases both thermal transpiration and backward Poiseuille peaks by more than 100 percent, while slower heating reduces forward Poiseuille peaks by up to 11 percent. Among the six waveforms, the square wave yields the highest peaks for all three flow components. These findings elucidate how waveform structures modulate transient flow responses and offer quantitative guidance for stability assessment and thermal management in hydrogen Knudsen compressors.

Indexed as

hydrogenKnudsen compressormicrofluidicsthermal non-equilibriumthermal transpiration flowthermo-fluid coupling

Identifiers

PMID42796140
PMCPMC13608910

What OpenQuestion holds

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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.