Conall Daly

For a college group project, we focused on developing and optimizing acoustic metamaterials for automotive silencers. Through this work, I gained hands-on experience in several key areas:

  • Design & Prototyping: Created and tested novel acoustic silencer designs, including microslit labyrinthine and poroelastic lamellar structures.
  • Deep Learning for Optimization: Applied convolutional neural networks (U-Net) and generative adversarial networks to optimize material configurations for specific frequency ranges.
  • Analytical Techniques: Conducted detailed performance analysis using sound transmission loss metrics and two-port transfer matrix models.
  • Experimental Skills: Utilized ASTM E2611-09 compliant impedance tube testing to measure acoustic performance.
  • 3D Printing & Manufacturing: Produced prototypes using FDM technology, refining material and geometric parameters for better results.
  • Data-Driven Decision Making: Interpreted experimental results and compared them with industry benchmarks to evaluate effectiveness.

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