Enhanced Optimal Parameter-Based Nebulizer Design for Flow Analysis of Fluticasone Propionate

A jet nebulizer sprays a fine mist or aerosol directly into the lungs to reduce inflammation, expand airways, and make breathing easier for respiratory patients. Asthma, COPD, emphysema, and cystic fibrosis are treated with jet nebulizers. They are chosen over other nebulizers for their shorter treatment time and wider medication compatibility. For mechanically ventilated patients, jet nebulizers humidify oxygen to provide bronchodilators, antibiotics, and other respiratory medications. Additionally, they treat pneumonia, bronchitis, and other lung infections. Aerosol therapy requires medical jet nebulizers. However, experiment setup is time-consuming and challenging to enhance smaller droplet output. The study is aimed at enhancing the nebulizer and process parameters using numerical simulation and comparing the results to experimental data from the Malvern Spraytec™ laser diffraction system. This numerical model improves nebulization knowledge and predicts process parameters that affect output. Ansys Fluent was used to analyze a Creo-designed jet nebulizer solid model. The Spraytec™ experimental method was utilized to characterize fluticasone propionate's aerosol output and build the best nebulizer. Laser diffraction and computational fluid dynamics (CFD) analysis measured the nebulizer aerosol output. Comparing particle size data between 2 and 5 μm. The results are similar, with a difference of 4.20%. Taguchi optimization found the optimal process parameter, and a conformation test enhanced the process parameter. The nebulizer generates 8.57% more fluticasone propionate at optimal particle size. The optimized nebulizer generates aerosols reliably and speeds up patient recovery.