Coupling characteristics of fluid and charge behaviors in SDBI Flow Structures of Electroconvective SDBI Actuators Standard and Genetic k-means Clustering (S_Dbw/SDBI index)
This paper explores the mechanics and coupling characteristics of actuators, specifically focusing on the generation of electrohydrodynamic (EHD) wall jets. We analyze how charge injection, migration, and accumulation at the dielectric surface influence flow structures under various pulse signals. Using finite element methods, this study identifies optimal electrical parameters for high-velocity silicone flow, with implications for microfluidics and aerodynamic control. 1. Introduction dve_sdbi
We utilize a coupled model based on the finite element method (FEM) to solve for: Coupling characteristics of fluid and charge behaviors in
: Mapping potential gradients across the dielectric layer. It measures the scattering and density of clusters
: In the context of monitoring these physical systems, the S_Dbw (SDBI) cluster validity index is often employed to evaluate the performance of image segmentation algorithms used to track fluid particles. It measures the scattering and density of clusters to ensure high-fidelity data extraction from high-speed video. 3. Methodology