Numerical Optimization of Drying Energy Consumption from Multiple Jets Impinging on a Moving Curved Surface

Due to the increasing energy cost, efficiency of industrial dryer as energy-intensive processes should be improved. The designer optimize design parameters drying equipment achieve minimum consumption. SST k-ω turbulence model is used simulate a real geometry for applications. For optimization impinging round jet, specific consumption set objective function minimized. jet surface distance, spacing, inlet velocity, angle, and velocity are chosen parameters. SHERPA search algorithm optimal point from weighted sum all objectives method. One correlation developed validated It found that succeeded with reasonable accuracy in reproducing experimental results. correlates high values low nozzle distance velocity. agreement prediction between numerical simulation data points deviate by less than 7%.