Numerical Optimization of Pressure Force from Multiple Jets Impinging on a Moving Curved Surface for Industrial Drying Machines  

作　　者：Ali Chitsazan Georg Klepp Mohammad Esmaeil Chitsazan Birgit Glasmacher Ali Chitsazan;Georg Klepp;Mohammad Esmaeil Chitsazan;Birgit Glasmacher(Institute for Energy Research, Ostwestfalen-Lippe University of Applied Sciences and Arts, Lemgo, Germany;Research Institute of Education, Ahvaz, Iran;Institute for Multiphase Processes, Leibniz University Hannover, Hannover, Germany)

机构地区：[1]Institute for Energy Research, Ostwestfalen-Lippe University of Applied Sciences and Arts, Lemgo, Germany [2]Research Institute of Education, Ahvaz, Iran [3]Institute for Multiphase Processes, Leibniz University Hannover, Hannover, Germany

出　　处：《Open Journal of Fluid Dynamics》2021年第4期192-209,共18页流体动力学（英文）

摘　　要：Jet force on the surface is typical for impinging jets towards the surface and it is very important in drying applications for force-sensitive surfaces. The designer should optimize the design parameters of industrial drying equipment to achieve minimum pressure force between multiple jets and a moving curved surface. SST <em>k-ω</em> turbulence model is used to simulate a real geometry for industrial drying applications. The SST <em>k-ω</em> turbulence model succeeded with reasonable accuracy in reproducing the experimental results. The jet to surface distance, jet to jet spacing, jet inlet velocity, jet angle, and surface velocity are chosen as the design parameters. For the optimization of the impinging round jet, the pressure force coefficient on the moving curved surface is set as the objective function to be minimized. The SHERPA search algorithm is used to search for the optimal point from the weighted sum of all objectives method. One correlation is developed and validated for the pressure force coefficient. It is found that the pressure force coefficient is highly dependent on the nozzle to surface distance and jet angle but relatively insensitive to jet inlet velocity, jet to jet spacing, and surface velocity. The minimum pressure force coefficient correlates with a high value of nozzle to surface distance (tenfold diameter in this analysis) and a low value of the jet angle (40? in this analysis). The agreement in the prediction of the pressure force coefficient between the numerical simulation and developed correlation is found to be reasonable and all the data points deviate from the correlation approximately 8% on average.Jet force on the surface is typical for impinging jets towards the surface and it is very important in drying applications for force-sensitive surfaces. The designer should optimize the design parameters of industrial drying equipment to achieve minimum pressure force between multiple jets and a moving curved surface. SST <em>k-ω</em> turbulence model is used to simulate a real geometry for industrial drying applications. The SST <em>k-ω</em> turbulence model succeeded with reasonable accuracy in reproducing the experimental results. The jet to surface distance, jet to jet spacing, jet inlet velocity, jet angle, and surface velocity are chosen as the design parameters. For the optimization of the impinging round jet, the pressure force coefficient on the moving curved surface is set as the objective function to be minimized. The SHERPA search algorithm is used to search for the optimal point from the weighted sum of all objectives method. One correlation is developed and validated for the pressure force coefficient. It is found that the pressure force coefficient is highly dependent on the nozzle to surface distance and jet angle but relatively insensitive to jet inlet velocity, jet to jet spacing, and surface velocity. The minimum pressure force coefficient correlates with a high value of nozzle to surface distance (tenfold diameter in this analysis) and a low value of the jet angle (40? in this analysis). The agreement in the prediction of the pressure force coefficient between the numerical simulation and developed correlation is found to be reasonable and all the data points deviate from the correlation approximately 8% on average.

关 键 词：Multiple Jets Pressure Force Surface Motion Surface Curvature CFD Optimization 

分 类 号：O35[理学—流体力学]