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The automotive acoustic engineering services industry has witnessed significant technological advancements. Cutting-edge software allows engineers to create more precise simulations of noise behavior within a vehicle. This enables them to forecast and handle any noise concerns earlier in the design process, saving time and costs during physical testing. New materials, such as lightweight composites and metamaterials, are being explored to provide greater sound absorption and insulation qualities. Acoustic engineers use these developments to make cars quieter and lighter.
Artificial Intelligence (AI) and Machine Learning (ML) are being used to evaluate massive volumes of noisy data gathered during testing. This information can help engineers discover noise trends and optimize noise reduction solutions more effectively. Along with this, advancements in ANC technology are enabling improved in-cabin noise-canceling systems. These systems employ microphones and speakers to create sound waves that cancel out undesired noises.
For instance, in February 2023, the team at Kautex Textron tackled the complex issue of fuel "sloshing" noise prediction during vehicle deceleration using Monolith AI software. By combining engineering skills, acoustic data, and AI technology, these engineers were able to accurately predict the expected noise level of new, previously untested designs in untested configurations. This was made possible using advanced AI and a data-driven approach, which offers a more efficient and cost-effective solution for conducting virtual testing.