エンジニアが微粒子が乱気流中でクラスタを形成する理由を解明(Engineers uncover why tiny particles form clusters in turbulent air)

2025-09-19 バッファロー大学

バッファロー大学の研究チームは、乱流中で微粒子が極端に凝集する理由を解明した。実験とモデリングにより、粒子同士の衝突で生じる「モザイク状の不均一電荷」が双極子を形成し、相互に引き寄せ合うことでクラスターを作る現象を発見。この正のフィードバック機構を IMPACT(Inhomogeneous Mosaic Potential Amplified Collisions in Turbulence) と命名した。薬剤粉末の製造効率、雨滴形成による豪雨予測、大気汚染の挙動、燃焼効率など幅広い分野に応用可能とされる。成果は 『PNAS』 に掲載。

エンジニアが微粒子が乱気流中でクラスタを形成する理由を解明(Engineers uncover why tiny particles form clusters in turbulent air)
Researchers used a turbulence chamber, above, to test their hypothesis. Credit: Douglas Levere, University at Buffalo.

<関連情報>

等方性乱流における接触帯電による粒子衝突の増幅 Amplification of particle collision through contact electrification in isotropic turbulence

Danielle R. Johnson, Adam Bocanski, Emily M. Diorio, +1 , and Hui Meng
Proceedings of the National Academy of Sciences  Published:September 16, 2025
DOI:https://doi.org/10.1073/pnas.2507580122

Significance

Tiny particles in turbulent flows-like those in the atmosphere, drug manufacturing, or engines- often cluster more than predicted. Scientists suspected a hidden process at play. Our research reveals that when particles collide, they pick up tiny, uneven electric charges on their surfaces, despite their net neutral charge. These charges create attractive forces, pulling particles closer and increasing clustering over time. Using advanced imaging tools, we tracked particles in turbulent lab experiments and measured how their charges and movements change with time. This finding uncovers a previously overlooked mechanism in particulate turbulence, with broad implications. Better modeling of these effects could improve predictions for air pollution, weather patterns, or fuel combustion in engines-where tiny particle interactions have big impacts.

Abstract

Recent discovery of “extreme clustering” of inertial particles in isotropic turbulent flow suggests a hidden mechanism of particle–particle interaction at sub-Kolmogorov separations unexplained by hydrodynamic interaction. The near-contact radial distribution function (RDF) reaches , resulting in a collision kernel four orders larger than direct numerical simulation predictions. Statistical stationarity is lost in the particle-laden turbulence, suggesting the particles experience a nonequilibrium process. We hypothesize dielectric particles in isotropic turbulence experience contact electrification through interparticle collisions, creating inhomogeneous mosaic surface charge. These mosaic charges lead to attractive forces and thereby extreme clustering and collision amplification, forming a positive feedback loop. To explore this potential mechanism, we investigated hollow glass spheres dispersed in a high-Reynolds-number homogeneous isotropic air turbulence chamber using high-resolution 3D particle tracking velocimetry and Kelvin Probe Force Microscopy (KPFM). We measured RDF, particle-pair mean-inward radial relative velocity, and mean radial relative acceleration (RA) with time up to 10 min. We sampled particles from the flow chamber through time and evaluated their nanoscopic charge distribution using KPFM. We found that both RDF and mosaic surface charge increase with time; RA at close separations is attractive, intensifies as particles approach, and grows in time; and the turbulence-exposed RA curves collapse when nondimensionalized by the dipole–dipole acceleration calculated from mosaic charge distributions. These results support the proposed mechanism—Inhomogeneous Mosaic Potential Amplified Collisions in Turbulence (IMPACT). Better understanding and modeling of these effects could improve predictions for air pollution, weather patterns, and drug manufacturing—where particle interactions have big impacts.

0106流体工学
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