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RETRACTED ARTICLE: Sound absorption performance of EPDM-based textile composites investigated through the transfer matrix model

Author

Listed:
  • Kun Wang

    (Hunan Institute of Engineer)

  • Wei Wang

    (Hunan Institute of Engineer
    Handan Polytechnic College)

Abstract

With the continuous advancement of networks, communication technology, sensor technology, artificial intelligence and other technologies, the field of intelligent industry is booming. As the leader of emerging technologies, digital twin technology has also become the new direction for the next generation of industrial intelligence. Based on the digital twin technology, kapok fiber and mixed fiber nonwoollen materials were designed at different positions of the microperforation, and a composite sound absorbing material with light weight, simple structure and low cost was developed to improve the sound absorption performance of the composite sound absorbing material. Also, based on the transfer matrix method, a sound absorption model of EPDM-based textile structural composite is proposed. The sound absorption coefficient of the composite sound absorber predicted by the transfer matrix model is completely consistent with the experimental test value. The model can be applied to predict and analyze the sound absorption characteristics of EPDM-based textile composite panel structural materials. This work can provide a theoretical basis and application for the structural design of the perforated plate and the porous non-woven material composite sound absorber.

Suggested Citation

  • Kun Wang & Wei Wang, 2023. "RETRACTED ARTICLE: Sound absorption performance of EPDM-based textile composites investigated through the transfer matrix model," Journal of Combinatorial Optimization, Springer, vol. 45(1), pages 1-18, January.
    • Handle: RePEc:spr:jcomop:v:45:y:2023:i:1:d:10.1007_s10878-022-00957-9
    DOI: 10.1007/s10878-022-00957-9
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    1. Gelan Yang & Qin Yang & Huixia Jin, 2021. "A novel trust recommendation model for mobile social network based on user motivation," Electronic Commerce Research, Springer, vol. 21(3), pages 809-830, September.
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