Design study of PSO-ANSYS-based optimization of micromesh atomization particle size and TRIZ-based improvement of oral nebulization mode
摘要
To address the existing shortcomings in aerosol particle size control and the discomfort associated with mouthpiece-type nebulizers, this study proposes a collaborative optimization method based on the integration of a Particle Swarm Optimization algorithm and ANSYS-based numerical simulation. This approach achieved precise control over the particle size distribution of a mesh nebulizer, thereby enhancing the drug deposition rate in the lungs. Concurrently, the Theory of Inventive Problem Solving was applied to redesign the mouthpiece assembly. By conducting a contradiction matrix analysis on core technical conflicts, reconstructing the gas–liquid interaction path via substance-field analysis, and implementing an intraoral self-locking mechanism to reduce the load on the orbicularis oris muscle, the comfort issue induced by gravitational force was effectively resolved. This validates the practical engineering value of the Theory of Inventive Problem Solving in medical device design. Experimental results indicate that the optimized nebulizer outperforms conventional devices in terms of particle size uniformity, user comfort, and operational adaptability under varying conditions, providing an innovative solution for the design of efficient and comfortable nebulization systems.