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Sound&Vibration
Article . 2025 . Peer-reviewed
License: CC BY
Data sources: Crossref
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How cavitation number shapes the kinetic mysteries of shoulder and tail cavitation in multi-medium vehicles

Authors: Sun Hui; Huang Xianghong; Wang Zixuan; Xi Luyue; Gao Cong; Yang Lijia;

How cavitation number shapes the kinetic mysteries of shoulder and tail cavitation in multi-medium vehicles

Abstract

The underwater launch stability of multi-medium vehicles is critically challenged by the dynamic evolution of shoulder and tail cavitation bubbles, which generate asymmetric loads and compromise water-exit success rates. To address this, we designed a novel unconstrained underwater launch platform integrated with 3D-printed modular vehicle models (flat/round heads) and multi-modal sensing systems (high-speed cameras at 16,000 fps + triaxial accelerometers), enabling quantitative visualization of cavitation dynamics under controlled cavitation numbers (σ = 0.62–2.51). Critical findings reveal: Cavitation number governs development asymmetry—lower σ compresses shoulder bubbles longitudinally (maximum L = 1.8D at σ = 0.62 vs. 1.2D at σ = 2.51), while higher σ promotes lateral expansion (W peaks at 0.82D). Collapse-induced instability mechanisms—pressure oscillations within bubbles trigger nonlinear collapses (30% higher collapse velocity at σ = 0.62), generating asymmetric forces that amplify yaw deviations by 15%–22%. Tail cavity dual-phase dynamics—at σ < 1.38, tail bubbles exhibit secondary detachment with umbrella-shaped collapse (velocity rebound ΔV = 1.2 m/s), whereas σ > 2.51 induces early necking at launch tubes, reducing effective thrust by 40%. These findings establish quantitative relationships between σ and bubble-mediated instability, providing design guidelines for cavitation-resistant vehicle profiles and adaptive launch control systems. The experimental framework offers a cost-effective alternative to prototype testing, reducing development costs by 60% through scalable 3D-printed models.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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