Average airflow velocity both in the presence and absence of Lorentz forces for various experimental parameters

This dataset presents airflow velocity measurements obtained from a controlled electrohydrodynamic (EHD) airflow generation system, where ionic wind is enhanced through Lorentz-force interactions. The experiments were performed using a multi-needle-to-cylinder configuration, with systematic variation of emitter distance, emitter voltage, and solenoid voltage. Each condition was repeated three times and averaged to ensure statistical reliability. The data support a machine learning study that applies Support Vector Regression (SVR) for predictive modeling and optimization of EHD airflow behavior. The dataset is suitable for researchers working in machine learning, fluid dynamics, electrohydrodynamics, and thermal management.