The parameter mapping of power ultrasonic transducer model

Area of Science:

• Materials Science
• Mechanical Engineering
• Electrical Engineering

Background:

• Transducer characteristics are sensitive to material properties influenced by environmental factors, leading to poor repeatability.
• Existing theoretical models struggle to accurately predict transducer behavior due to variability in material coefficients.

Purpose of the Study:

• To develop a cost-effective measurement method for accurate transducer material coefficients under operational conditions.
• To establish a reliable transducer model for predicting vibration and electrical characteristics.

Main Methods:

• A mapping between material coefficients and transducer parameters was analyzed.
• An iterative optimization method was developed to measure five key material coefficients.
• The genetic algorithm (GA) was used for cross-validation.

Main Results:

• The proposed method successfully obtained material coefficients for seven different transducer materials.
• Predictions of multi-material transducer characteristics using obtained coefficients showed good agreement with measurements.
• The proposed method yielded more accurate predictions than dynamic mechanical analysis (DMA) and reference values.

Conclusions:

• The developed measurement method and transducer model are validated for accurate prediction of transducer performance.
• The iterative method provides a practical and cost-effective approach for determining material coefficients.
• The study highlights the significant influence of frequency on material coefficients.