Reverse-Flow Cyclone Geometry Optimization for Fine Particle Agglomeration

The patent applies parameter changes by optimizing seven key geometric parameters (a, b, s, De, h, H, Db) of the cyclone to maximize collection efficiency for fine particles. Global optimization techniques were used to determine specific ratio ranges for these parameters that enhance agglomeration and separation performance, directly resolving the contradiction between simplicity and efficiency.

The patent implements preliminary action by designing the cyclone geometry to promote inter-particle agglomeration before the actual separation process. The optimized geometry creates conditions where fine particles agglomerate with larger particles in the descending helical flow, preparing them for more effective separation and thereby improving overall collection efficiency without adding complex post-treatment equipment.

The patent achieves universality by designing a single cyclone device that performs multiple functions: particle agglomeration, particle separation, and emission control. The optimized geometry enables the cyclone to effectively handle particles below 2-3 µm that would otherwise require additional specialized equipment, thereby eliminating the need for bag filters or electrostatic precipitators while meeting emission limits.

The patent merges the agglomeration process and separation process into a single integrated cyclone device. By optimizing the geometry to promote inter-particle agglomeration within the cyclone itself, the system combines what would traditionally require separate equipment into one unit, reducing both capital investment and operating costs while achieving the required collection efficiency.

The patent applies segmentation by breaking down the complex geometry optimization into seven distinct, manageable parameters (a, b, s, De, h, H, Db). This segmentation allows for systematic optimization using global techniques, making the complex design process more tractable and reducing development time compared to trial-and-error approaches.

The patent implements feedback by using global optimization techniques that iteratively adjust the geometric parameters based on collection efficiency performance. This systematic feedback mechanism allows for efficient convergence to optimal geometry configurations, significantly reducing the development time compared to conventional trial-and-error methods while achieving superior fine particle collection efficiency.