“…The strong adhesion forces generated between flat, polished surfaces are attributed to attractive van der Waals forces. These intermolecular forces can dominate if a small separation distance on the order of a wavelength (of visible light) or even less is sustained across a macroscopic distance (Deryagin, 1967). There appears to be very little published scientific literature (if any) on the dynamic shearing resistance of intermolecularly bonded surfaces.…”
Section: Surface Roughness Evaluation Of H-100 Specimen Surfacesmentioning
“…The strong adhesion forces generated between flat, polished surfaces are attributed to attractive van der Waals forces. These intermolecular forces can dominate if a small separation distance on the order of a wavelength (of visible light) or even less is sustained across a macroscopic distance (Deryagin, 1967). There appears to be very little published scientific literature (if any) on the dynamic shearing resistance of intermolecularly bonded surfaces.…”
Section: Surface Roughness Evaluation Of H-100 Specimen Surfacesmentioning
“…This model was employed in Ref. 24, where the probability to find a critical bubble whose volume and pressure inside can fluctuate is calculated.…”
Section: The Pre-exponential Factor For Bubble Distributionmentioning
confidence: 99%
“…In contrast to the NV Tensemble generally used for simulation of bubbles in a liquid, the pressure changes simultaneously with the change of the long-range coupling constant, and this change requires no time for equilibration. Indeed, the long-range part of interaction potential (24) stipulates an additional pressure in the bulk of a droplet…”
Section: MD Simulation Proceduresmentioning
confidence: 99%
“…19 Modern theories (see, e.g., Refs. [20][21][22][23][24][25][26][27][28][29][30][31] are successful in interpretation of the vapor nucleation but less successful as applied to the bubble nucleation. A probable reason could be a worse convergence of the expansion for bubble work of formation in powers of the inverse bubble radius as compared to similar expansion for clusters.…”
Section: Introductionmentioning
confidence: 99%
“…The following theory extensions are worth mentioning. Deryagin, Prokhorov, and Tunitskii 24 and Alekseechkin 25 have investigated the equilibrium distribution of bubbles in two-dimensional phase space (the size of a bubble and pressure inside it or the density) and calculated the correction to Zeldovich factor due to pressure (density) fluctuations. Yamamoto and Ohnishi 26 treated bubble nucleation in a binary solution of noble gases.…”
We employ a model, in which the density fluctuations in a bulk liquid are represented as presence of the clusters of molecules with the lowered number of nearest neighbors (number of bonds). The nanobubble size distribution is calculated on the basis of a close analogy between the surface part of the work of formation for a cluster and for a nanobubble. The pre-exponential factor for this distribution is related to the fluid compressibility. Estimates made for different liquids show that it can be noticeably different from that adopted in the classical nucleation theory (CNT). Molecular dynamics (MD) simulation is performed for a liquid inside a macroscopic droplet of molecules interacting via the Lennard-Jones potential plus a long-range tail. The nanobubbles are identified by clusters of bond-deficient particles with the optimum number of bonds that provide the maximum nanobubble number density and maximum resolvable nanobubble equimolar size. The results of MD simulation are in qualitatively better agreement with proposed theory than with CNT.
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