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RISBest Architecture of an Artificial Neural Network to Model Prefilming Airblast Atomization: Not So Deep Learning
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: A fully connected artificial neural network (ANN) is used to predict the spray characteristics of prefilming airblast atomization. The model is trained from the planar prefilmer experiment from the Ph.D. thesis of Gepperth ...
Time-Response of Recent Prefilming Airblast Atomization Models in an Oscillating Air Flow Field
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The present study investigates the response of recent primary breakup models in the presence of an oscillating air flow and compares them to an experiment realized by Müller (2015, “Experimentelle Untersuchung des ...
Smoothed Particle Hydrodynamics Simulation of an Air-Assisted Atomizer Operating at High Pressure: Influence of Non-Newtonian Effects
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: A twin-fluid atomizer configuration is predicted by means of the two-dimensional (2D) weakly compressible smooth particle hydrodynamics (SPH) method and compared to experiments. The setup consists of an axial liquid jet ...