Acoustic Materials

A special issue of Acoustics (ISSN 2624-599X).

Deadline for manuscript submissions: closed (31 July 2024) | Viewed by 6879

Special Issue Editor


E-Mail Website
Guest Editor
Department of Mechanical, Manufacturing & Biomedical Engineering, Trinity College Dublin, Dublin 2, Ireland
Interests: additive manufacture; acoustic metamaterials; porous media; environmental noise

Special Issue Information

Dear Colleagues,

Acoustic materials are crucial in mitigating noise pollution and improving sound quality in products ranging from automobiles and consumer electronics to architectural design. The field has witnessed substantial advancements in recent years, driven by interdisciplinary research that merges materials science, engineering, and physics.

This Special Issue aims to showcase recent developments in the field of acoustic materials with a specific focus on additive manufacturing, porous media, industrialization, optimization, and efficient modeling techniques. By delving into these areas, the Special Issue aims to foster a deeper understanding of the principles and applications of novel acoustic materials, with potential implications for various industries.

Additive manufacturing techniques are revolutionizing the fabrication of acoustic materials. Suitable submission topics include the 3D printing of novel materials, microstructures, and optimized geometries that enhance sound absorption, insulation, and transmission properties. Submissions on porous media may delve into the characterization, design, and application of porous acoustic materials, with a focus on the optimal design of pore structures for acoustic performance.

Optimization is a critical component in tailoring acoustic materials for specific applications, and it has witnessed transformative advancements. Submissions are invited on machine learning algorithms applied to optimize the design and composition of acoustic materials. These innovative approaches allow for data-driven insights, automated parameter tuning, and the discovery of optimized acoustic solutions, accelerating the development of high-performance materials.

The industrialization of acoustic materials is crucial for scaling up production and ensuring cost-effectiveness. Submissions are welcome which examine advancements in the industrial design, manufacturing processes, quality control, and validation of novel acoustic materials deployed at scale in industries such as automotive, aerospace, and construction.

Dr. John Kennedy
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Acoustics is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • metamaterials
  • porous media
  • additive manufacture
  • machine learning
  • noise control
  • building acoustics
  • optimization

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue polices can be found here.

Published Papers (2 papers)

Order results
Result details
Select all
Export citation of selected articles as:

Research

Jump to: Review

17 pages, 6539 KiB  
Article
Identification of Key Factors Influencing Sound Insulation Performance of High-Speed Train Composite Floor Based on Machine Learning
by Ruiqian Wang, Dan Yao, Jie Zhang, Xinbiao Xiao and Ziyan Xu
Acoustics 2024, 6(1), 1-17; https://doi.org/10.3390/acoustics6010001 - 20 Dec 2023
Cited by 2 | Viewed by 2559
Abstract
The body of a high-speed train is a composite structure composed of different materials and structures. This makes the design of a noise-reduction scheme for a car body very complex. Therefore, it is important to clarify the key factors influencing sound insulation in [...] Read more.
The body of a high-speed train is a composite structure composed of different materials and structures. This makes the design of a noise-reduction scheme for a car body very complex. Therefore, it is important to clarify the key factors influencing sound insulation in the composite structure of a car body. This study uses machine learning to evaluate the key factors influencing the sound insulation performance of the composite floor of a high-speed train. First, a comprehensive feature database is constructed using sound insulation test results from a large number of samples obtained from laboratory acoustic measurements. Subsequently, a machine learning model for predicting the sound insulation of a composite floor is developed based on the random forest method. The model is used to analyze the sound insulation contributions of different materials and structures to the composite floor. Finally, the key factors influencing the sound insulation performance of composite floors are identified. The results indicate that, when all material characteristics are considered, the sound insulation and surface density of the aluminum profiles and the sound insulation of the interior panels are the three most important factors affecting the sound insulation of the composite floor. Their contributions are 8.5%, 7.3%, and 6.9%, respectively. If only the influence of the core material is considered, the sound insulation contribution of layer 1 exceeds 15% in most frequency bands, particularly at 250 and 500 Hz. The damping slurry contributed to 20% of the total sound insulation above 1000 Hz. The results of this study can provide a reference for the acoustic design of composite structures. Full article
(This article belongs to the Special Issue Acoustic Materials)
Show Figures

Figure 1

Review

Jump to: Research

33 pages, 9289 KiB  
Review
Research Progress on Thin-Walled Sound Insulation Metamaterial Structures
by Yumei Zhang, Jie Zhang, Ye Li, Dan Yao, Yue Zhao, Yi Ai, Weijun Pan and Jiang Li
Acoustics 2024, 6(2), 298-330; https://doi.org/10.3390/acoustics6020016 - 26 Mar 2024
Cited by 3 | Viewed by 3481
Abstract
Acoustic metamaterials (AMs) composed of periodic artificial structures have extraordinary sound wave manipulation capabilities compared with traditional acoustic materials, and they have attracted widespread research attention. The sound insulation performance of thin-walled structures commonly used in engineering applications with restricted space, for example, [...] Read more.
Acoustic metamaterials (AMs) composed of periodic artificial structures have extraordinary sound wave manipulation capabilities compared with traditional acoustic materials, and they have attracted widespread research attention. The sound insulation performance of thin-walled structures commonly used in engineering applications with restricted space, for example, vehicles’ body structures, and the latest studies on the sound insulation of thin-walled metamaterial structures, are comprehensively discussed in this paper. First, the definition and math law of sound insulation are introduced, alongside the primary methods of sound insulation testing of specimens. Secondly, the main sound insulation acoustic metamaterial structures are summarized and classified, including membrane-type, plate-type, and smart-material-type sound insulation metamaterials, boundaries, and temperature effects, as well as the sound insulation research on composite structures combined with metamaterial structures. Finally, the research status, challenges, and trends of sound insulation metamaterial structures are summarized. It was found that combining the advantages of metamaterial and various composite panel structures with optimization methods considering lightweight and proper wide frequency band single evaluator has the potential to improve the sound insulation performance of composite metamaterials in the full frequency range. Relative review results provide a comprehensive reference for the sound insulation metamaterial design and application. Full article
(This article belongs to the Special Issue Acoustic Materials)
Show Figures

Figure 1

Back to TopTop