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<metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/"><dc:title>Study of hydrodynamic forces on a finite particle attached to a wall in a confined Couette flow</dc:title><dc:creator>Meng,	Kun	(Avtor)
	</dc:creator><dc:creator>Shan,	Binbin	(Avtor)
	</dc:creator><dc:creator>Cui,	Yan	(Avtor)
	</dc:creator><dc:creator>Gao,	Peng	(Avtor)
	</dc:creator><dc:creator>Zhang,	Chengjun	(Avtor)
	</dc:creator><dc:creator>Mao,	Xuyao	(Avtor)
	</dc:creator><dc:creator>Ravnik,	Jure	(Avtor)
	</dc:creator><dc:creator>Hriberšek,	Matjaž	(Avtor)
	</dc:creator><dc:creator>Liu,	Yinshui	(Avtor)
	</dc:creator><dc:subject>Lattice Boltzmann method</dc:subject><dc:subject>particle detachment</dc:subject><dc:subject>confined couette flow</dc:subject><dc:subject>hydrodynamic forces</dc:subject><dc:subject>finite-sized particle</dc:subject><dc:description>Contaminant particles adhering to walls within narrow fluid clearances significantly degrade the performance and service life of precision systems such as hydraulic components and microsensors. This study investigates the effects of wall confinement on hydrodynamics and particle detachment in a Couette flow, where a spherical particle is attached to the bottom wall and subject to the influence of the top wall. Results demonstrate that confinement deflects streamlines downward and shifts stagnation points upward, thereby reducing flow velocity beneath the particle while accelerating it above. The enhanced particle blockage effect increases both the drag and torque coefficients, while the suppression of vertical velocity markedly reduces the lift coefficient. Phase diagrams identify the critical particle Reynolds numbers for three initial detachment modes (rolling, sliding, and lifting), revealing that rolling detachment is the most readily initiated. Empirical correlations for the force and torque coefficients in confined Couette flow are proposed, along with an algorithm for determining the critical particle Reynolds numbers. These tools can be integrated into Eulerian–Lagrangian computational frameworks to improve the efficiency and accuracy of predicting contaminant particle detachment in precision fluid systems.</dc:description><dc:publisher>Elsevier</dc:publisher><dc:date>2024</dc:date><dc:date>2026-02-12 15:13:37</dc:date><dc:type>Članek v reviji</dc:type><dc:identifier>97034</dc:identifier><dc:identifier>UDK: 532.5:519.6</dc:identifier><dc:identifier>COBISS_ID: 268306947</dc:identifier><dc:identifier>DOI: 10.1016/j.ijmultiphaseflow.2026.105629</dc:identifier><dc:identifier>ISSN pri članku: 1879-3533</dc:identifier><dc:language>sl</dc:language></metadata>
