Applying Machine Learning to Acoustic Resonance: FT Technologies at COMSOL Conference Florence

October 22-24, 2024

In October 2024, the FT Technologies Multiphysics Research Team continued its cutting-edge research efforts by participating in the COMSOL Conference in Florence, Italy. Representing the team, Elisabetta Merico, Graduate Multiphysics Engineer, presented a paper titled "Towards Machine Learning for Acoustic Resonance Technology."

The presentation highlighted how machine learning can be applied to enhance the understanding of acoustic resonance technology in FT wind sensors, specifically focusing on the effects of tolerances on sensor performance. By integrating machine learning with acoustic models, FT Technologies aims to improve the precision and efficiency of acoustic simulations, further advancing the capabilities of our Acu-Res® technology.

This innovative approach strengthens FT Technologies’ commitment to delivering high-performance solutions, ensuring that our wind sensors continue to meet the rigorous demands of our global customers.

Machine Learning for Acoustic Resonance

After the Conference, Elisabetta Merico commented:

“The COMSOL conference in Florence was a truly rewarding experience. It was inspiring to connect with many skilled COMSOL users who bring a wealth of knowledge and diverse experience to this field. Sharing insights on machine learning applications in acoustic resonance for FT wind sensors was not only fulfilling for me but also sparked valuable discussions. Attendees provided constructive feedback and showed high engagement with the unique capabilities of our sensor.”

 

Dr Jimenez-Garcia, Principal Research Engineer added:

“Elisabetta’s presentation at the COMSOL Conference was a testament to the innovative spirit of FT Technologies. The integration of machine learning with our unique Acu-Res® Technology opens new avenues for enhancing sensor performance and reliability. This work not only showcases our technical expertise but also our dedication to pushing the boundaries of what is possible in wind sensor technology”

Simulation

SPEAKER REFLECTION

"Presenting our work on using machine learning to enhance acoustic resonance in FT wind sensors was an incredible opportunity, not only because of the audience's genuine curiosity and insightful feedback but also because of the knowledgeable, inspiring people I had the chance to connect with. The conversations I had broadened my perspective and sparked new ideas to explore."

Elisabetta Merico

FT Technologies Multiphysics Engineer

Inside ultrasonics

Acoustic Resonance (Acu-Res®) Technology

FT Technologies products are powered by our exclusive Acu-Res® technology. This enables an accurate wind sensor in a small form-factor which is inherently immune to physical vibration and acoustic noise. Discover how ultrasonic wind sensors work and why Acu-Res® technology outperforms.