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Nonlinear analysis of the deformation and breakup of viscous microjets using the method of lines
Authors:E. P. Furlani  M. S. Hanchak
Affiliation:1. Research Laboratories, Eastman Kodak Company, 1999 Lake Avenue, Rochester, NY 14650‐2216, U.S.A.;2. Graphic Communications Group, Eastman Kodak Company, 3000 Research Blvd, Dayton, OH 45420, U.S.A.
Abstract:We present a numerical model for predicting the instability and breakup of viscous microjets of Newtonian fluid. We adopt a one‐dimensional slender‐jet approximation and obtain the equations of motion in the form of a pair of coupled nonlinear partial differential equations (PDEs). We solve these equations using the method of lines, wherein the PDEs are transformed to a system of ordinary differential equations for the nodal values of the jet variables on a uniform staggered grid. We use the model to predict the instability and satellite formation in infinite microthreads of fluid and continuous microjets that emanate from an orifice. For the microthread analysis, we take into account arbitrary initial perturbations of the free‐surface and jet velocity, as well as Marangoni instability that is due to an arbitrary variation in the surface tension. For the continuous nozzle‐driven jet analysis, we take into account arbitrary time‐dependent perturbations of the free‐surface, velocity and/or surface tension as boundary conditions at the nozzle orifice. We validate the model using established computational data, as well as axisymmetric, volume of fluid (VOF) computational fluid dynamic (CFD) simulations. The key advantages of the model are its ease of implementation and speed of computation, which is several orders of magnitude faster than the VOF CFD simulations. The model enables rapid parametric analysis of jet breakup and satellite formation as a function of jet dimensions, modulation parameters, and fluid rheology. Copyright © 2010 John Wiley & Sons, Ltd.
Keywords:microjet instability  Marangoni effect  capillary instability  continuous inkjet printing  slender‐jet analysis  Marangoni instability
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