ABSTRACT VIEW
EXPERIMENTAL LEARNING OF RESONANCE IN HELMHOLTZ RESONATORS THROUGH REGRESSION
D. Ramírez Solana1, F.J. Redondo Pastor2, D. Tarrazó-Serrano3, M. Gulzari1, A. Bayón4
1 University College Dublin, Structured Materials and Dynamics Lab, School of Civil Engineering (IRELAND)
2 Universitat Politècnica de València, Instituto de Investigación para la Gestión Integrada de Zonas Costeras (SPAIN)
3 Universitat Politècnica de València, Centro de Tecnologías Físicas (SPAIN)
4 Department of Hydraulic and Environmental Engineering, Universitat Politècnica de València (SPAIN)
Hands-on learning plays a key role in teaching acoustics within Physics courses, as it allows students to reinforce theoretical concepts through experimentation. This work presents an experimental method to determine the resonance frequency of a Helmholtz resonator, using a bottle in which the volume of the contained liquid is varied. Based on the excitation and frequency analysis of the produced sound, regression techniques are applied to establish the relationship between the resonance frequency and the geometric parameters of the system. This approach not only allows verification of the theoretical equation of the Helmholtz resonator, but also fosters the development of skills in experimental data collection, analysis, and curve fitting. The educational impact of this method is significant, as it promotes active learning based on experimentation, enhancing conceptual understanding and knowledge retention. By physically manipulating the resonators and analyzing their acoustic properties, students develop analytical and methodological skills essential for problem-solving in science and engineering. Moreover, the use of mathematical regression in data interpretation introduces students to modeling tools that are fundamental across scientific disciplines. This integrated approach encourages critical thinking, learning autonomy, and a deeper connection between theory and practice.

Keywords: Hands-on learning, Helmholtz resonator, resonance frequency, mathematical regression, acoustics.

Event: EDULEARN25
Track: STEM Education
Session: STEM Experiences
Session type: VIRTUAL