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• W2979244307 abstract "Sprays are encountered in a wide variety of engineering applications such as diesel engines,gas turbine engines, coating and painting, inkjet printing etc. To generate sprays in theseapplications, a liquid must be atomized. Atomization usually refers to the disintegrationof a bulk liquid material into small droplets in the ambient gas. The main objective ofatomization and spray systems is to generate a spray with desired droplet size and velocitydistribution. In classical atomization process, the initial liquid jet/sheet emanating fromthe injector starts disintegrating into ligaments or droplets when the aerodynamic forcesdue to shearing interaction at the liquid-gas interface is greater than the surface tensionof the liquid. This is called primary breakup or primary atomization. Majority of thedroplets generated during primary atomization are unstable and may further disintegratein to smaller droplets if the parent droplet is larger than a critical size. This is calledsecondary breakup or secondary atomization. Mechanism of primary atomization is stillnot well understood and is an active subject of scienti�c research. The ideal approachto resolve the primary atomization process is by direct numerical simulations (DNS). Theobjective of the current study is to predict the primary atomization process by means of high�delity numerical simulations (close to DNS). Two basic requirements of DNS of multiphaseows are� an Eulerian based method capable of e�cient representation of evolving ow featuresof widely di�erent characteristic spatial scales.� e�cient parallelization of the solver to handle computational requirement.Volume of uid (VOF) method has been implemented to capture the gas liquid interface.One uid formulation of Navier-Stokes equations was used to describe the motionof the two uids present in the domain. Numerical solution of the 2-D Navier-Stokesequations in non-conservative form is obtained using simpli�ed marker and cell (SMAC)algorithm. Surface tension was included as a source term and evaluated using continuumsurface force (CSF) method. Pressure Poisson equation was solved using two di�erent approachesnamely multigrid method and symmetric Gauss Siedel preconditioned conjugategradient (SGSPCG) method. Solving pressure Poisson equation is the most time consumingpart of the entire solver. To e�ciently handle the computational requirement pressurePoisson solvers were parallelized on graphics processing unit (GPU) architecture. GPU isa many-core multithreaded multiprocessor that can perform both graphics and computingand can be used in conjunction with a computer. GPU programming was done usingcompute uni�ed device architecture (CUDA) platform by NVIDIA. The GPU based twophase ow solver was validated against standard benchmark test cases and approximateDNS studies were performed to study primary atomization process under Diesel jet, gasblast and pre�lming gas blast atomization like conditions.viDependence of pre�lming gasblast atomization spray characteristics on di�erent parameterslike inner core gas velocity, outer gas velocity and liquid sheet thickness was investigated.Pre�lming gas blast atomization simulations are done on a grid size of 2048 � 1024 and aspeedup of approximately 12 � is obtained with GPU based solver using Tesla K20 GPUaccelerator. In actual pre�lming gas blast atomization (occurring typically in gas turbines),the gases exiting the injector ori�ce are subjected to velocity modulations. Therefore liquidsheet atomization with the e�ect of forcing conditions imposed on discharging gas streamswas also studied." @default.
• W2979244307 created "2019-10-10" @default.
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• W2979244307 date "2016-01-01" @default.
• W2979244307 modified "2023-09-27" @default.
• W2979244307 title "Numerical Study of Liquid Sheet Atomization Using Two-Phase Flow Solver on GPU Architecture" @default.
• W2979244307 hasPublicationYear "2016" @default.
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