Article
Materials Science, Multidisciplinary
Xiang Yu, Zhenbo Lu, Wei Zhai
Summary: Metallic foams with partially-open window morphology between interconnected pores demonstrate significantly increased flow resistivity and sound absorption coefficient. A new microstructural model for permeability simulation has been developed to account for the increased specific surface area. This study explores a generic approach for designing microstructure-specific foams with increased flow resistance and fully open-celled microstructure.
Article
Acoustics
Xuewen Liu, Xinzhong Xiong, Jinxiang Pang, Liang Wu, Heavy Zhang
Summary: This paper investigates the acoustical performance of sound-absorb cotton, comparing experimental and model results to find the most suitable acoustical model and exploring the impact of airflow resistivity on the sound absorption coefficient. The findings help to determine the best theoretical model for sound-absorb cotton.
Article
Materials Science, Multidisciplinary
Dario Magliacano, Giuseppe Catapane, Giuseppe Petrone, Kevin Verdiere, Olivier Robin
Summary: The aim of this study is to investigate the effect of embedding periodic patterns in porous materials to passively enhance their acoustic performance. The focus is on improving sound transmission loss in classical aeronautical soundproofing packages. Numerical models of acoustic packages with periodic patterns were implemented using the finite element method and the Transfer Matrix Method. Experimental testing of some proposed configurations was conducted for comparison and validation of numerical results. Various configurations of inclusions were numerically studied, including hollow cylindrical inclusions, half-cut hollow cylindrical inclusions, and cylindrical Helmholtz resonators, to evaluate the improvements in transmission loss under plane wave excitation with different incidence angles. The main contributions of this work include experimental validation of proposed acoustic meta-materials previously only studied numerically, and consideration of the effect of including a periodic pattern of Helmholtz resonators in the foam core. Numerical results were also evaluated for different incidence angles of an exciting acoustic plane wave.
MECHANICS OF ADVANCED MATERIALS AND STRUCTURES
(2023)
Article
Materials Science, Multidisciplinary
X. B. Xu, P. S. Liu, G. F. Chen, C. P. Li
Summary: This study investigates the sound absorption performance of 304 stainless steel foam and its composite structures. It was found that introducing an air gap and a perforated plate can significantly enhance the overall absorption performance of the sample.
METALS AND MATERIALS INTERNATIONAL
(2021)
Article
Acoustics
R. K. Dunne, D. A. Desai, P. S. Heyns
Summary: The research aims to provide designers with a comprehensive database of acoustic material properties and a list of airflow resistivity predictive models, evaluate the accuracy of the models, and propose a universal predictive model.
Article
Acoustics
Juan C. Rodriguez, Jesus Alba, Jorge P. Arenas, Romina del Rey
Summary: Airflow resistivity is an important parameter for evaluating sound-absorbing materials. This paper proposes an electroacoustic method to indirectly estimate the airflow resistivity of material samples, which shows good agreement with other standardized methods.
Article
Materials Science, Textiles
Hong Wang, Qi Chen, Miaomiao Chen, Jiu Zheng Zhang, Yu Sheng Liu
Summary: Glass fiber foam laying and PTFE emulsion coating process were used to develop filter materials with high filtration efficiency. The influences of surfactant type, fiber diameter, and fiber content on the foam-ability and stability of glass fibers were analyzed. The glass fiber foam laden and PTFE emulsion coated fabrics showed higher filtration efficiency and lower outlet particle concentration compared to untreated and PTFE emulsion coated needle punched nonwoven fabrics.
JOURNAL OF INDUSTRIAL TEXTILES
(2023)
Article
Chemistry, Applied
Xiao Sun, Pritam Sharma, Giacinta Parish, Adrian Keating
Summary: This study focused on refining microfabrication processes to enable electrical studies of high porosity porous silicon films, with the goal of optimizing the electrical properties for microelectronic and optoelectronic sensors. The impact of measurement techniques on these fragile films was also evaluated, with findings indicating the need for methods to isolate the porous silicon from the substrate to ensure accurate measurements.
MICROPOROUS AND MESOPOROUS MATERIALS
(2021)
Article
Engineering, Mechanical
Baohui Yang, Zengqiang Cao, Zhengping Chang, Guo Zheng
Summary: Through experiments conducted on the shock tube experiment platform, it was found that an increase in specimen length accelerates the velocity of the first reflected shock wave when it hits the foam material, while an increase in specimen density increases the velocity of the reflection shock wave. Furthermore, enclosing a metal plate at the top of the foam material results in a significant increase in the strength of the reflected wave.
INTERNATIONAL JOURNAL OF IMPACT ENGINEERING
(2021)
Article
Mechanics
Tianyue Yuan, Xiang Song, Jingjian Xu, Baorui Pan, Dan Sui, Heye Xiao, Jie Zhou
Summary: This study designs a tunable acoustic composite metasurface with significant advantages in sound absorption performance. The phase gradient adjustment and resonance dissipation contribute to its excellent sound absorption ability. The modified microperforated panel system and the coiling-up space cavity enable the metasurface to achieve excellent sound absorption in both low and high frequency ranges.
COMPOSITE STRUCTURES
(2022)
Article
Chemistry, Applied
Kaihui Dong, Xiwen Wang
Summary: In this study, an ultra-lightweight cellulose-based foam material reinforced with silicasol was prepared using foam forming technology. The addition of silicasol improved the modulus of elasticity, yield strength, and thermal stability of the material, while also enhancing its sound absorption properties.
CARBOHYDRATE POLYMERS
(2021)
Article
Materials Science, Multidisciplinary
Wenhao Sun, Baorui Pan, Xiang Song, Heye Xiao, Jie Zhou, Dan Sui
Summary: This study focuses on the design, prediction, and validation of a novel composite sound absorber similar to the feather surface structure of barn owls. It demonstrates that a nanofibrous membrane can effectively enhance the acoustic performance of porous materials and provides a suitable thickness range for improving sound absorption coefficient.
MATERIALS & DESIGN
(2022)
Article
Engineering, Mechanical
Weitao Zhang, Fengxian Xin
Summary: This paper presents a novel acoustic metamaterial called coiled-up structure with porous lining (CSPL), which enhances broadband and low-frequency sound absorption at subwavelength scales. The theoretical model and finite element (FE) simulation model are established to explore the sound absorption performance and mechanism. The results show that the CSPL with porous lining achieves good low-frequency sound absorption due to enhanced sound energy dissipation and reduced sound wave propagation speed. The acoustic properties of the porous material also play an important role in the sound absorption performance.
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
(2023)
Review
Polymer Science
Niloofar Rastegar, Amir Ershad-Langroudi, Hamidreza Parsimehr, Gholamreza Moradi
Summary: In recent years, noise pollution has become a critical environmental problem, negatively impacting people's health and work efficiency. Porous materials, such as polyurethane foams, have gained attention for their excellent sound absorption properties and other advantages. This review article focuses on studying the sound absorption in materials with related properties and discusses the types of metallic and non-metallic sound-absorbing foams. It also explores the addition of nanoparticles, fibers, and different formation methods to enhance the acoustic properties of polyurethane foams.
IRANIAN POLYMER JOURNAL
(2022)
Article
Materials Science, Ceramics
Marc Neumann, Jana Hubalkova, Claudia Voigt, Joern Grabenhorst, Christos G. Aneziris
Summary: This study investigated the compressive and bending strength of industrially fabricated alumina foams with three different cell sizes. The impact of cell dimensions, loading rate, and specimen aspect ratio on foam structures was examined. Strength data of the open-porous alumina foams were compared using different probability distributions, with the Normal or Log-Normal distribution proving to be the best representation for most test sets.
JOURNAL OF THE EUROPEAN CERAMIC SOCIETY
(2022)
Article
Acoustics
Cailiang Zhang, Zhihui Lai, Zhisheng Tu, Hanqiu Liu, Yong Chen, Ronghua Zhu
Summary: This paper proposes two single-parameter-adjusting SR models to optimize the output performance of SR systems. The effects of the proposed models on SR output under different parameters and signals are investigated through numerical simulations, and their feasibility is verified through experimental results. The research results are of great significance for guiding the design of tri-stable SR models and the application of SR-based signal processing in the context of big data.
Article
Acoustics
Shaoqiong Yang, Hao Chang, Yanhui Wang, Ming Yang, Tongshuai Sun
Summary: In this study, a suspension system based on phononic crystals is designed for vibration isolation of acoustic loads in underwater gliders. The vibration properties of the phononic crystals and the effects of physical parameters on the underwater attenuation zones are investigated. Vibration tests show that the phononic crystal suspension system has a stable vibration isolation effect in the frequency range of 120-5000 Hz.
Article
Acoustics
Xuebin Zhang, Jun Zhang, Tao Liu, Ning Hu
Summary: This study proposes a tunable metamaterial beam to isolate flexural waves. A genetic algorithm-based size optimization is used to obtain a broad low-frequency bandgap. The tunability of the beam is achieved by attaching different numbers of permanent magnets to change the mass of the resonators. Additionally, ultra-broadband flexural wave attenuation is achieved by forming a gradient metamaterial beam based on the rainbow effect. Numerical and experimental results confirm the good flexural wave attenuation ability of the proposed beam.
Article
Acoustics
Luca Rapino, Francesco Ripamonti, Samanta Dallasta, Simone Baro, Roberto Corradi
Summary: This paper presents a method for simulating tyre/road noise using equivalent monopoles, including the synthesis of monopoles through an inverse problem approach and the use of an ISO 10844 road replica for laboratory testing. The method combines acoustic finite element models and numerical simulations of vehicles, and the results are validated by comparing them with measured data.
Article
Acoustics
Xiaoyan Zhu, Tin Oberman, Francesco Aletta
Summary: This paper explores the definition of acoustical heritage and proposes a multidimensional definition based on interviews with experts and detailed analysis of the data.
Article
Acoustics
Faeez Masurkar, Saurabh Aggarwal, Zi Wen Tham, Lei Zhang, Feng Yang, Fangsen Cui
Summary: This research focuses on estimating the elastic constants of orthotropic laminates using ultrasonic guided waves and inverse machine learning models. The results show that this approach has the potential to accurately predict the elastic constants of a material and reduce computational time.
Article
Acoustics
Feng Xiao, Haiquan Liu, Jia Lu
Summary: Diagnostic methods for cardiovascular disease based on heart sound classification have been widely studied due to their noninvasiveness, low-cost, and high efficiency. However, existing research often faces challenges such as the nonstationarity and complexity of heart sound signals, leading to limited capability of neural networks to extract discriminative features. To address these issues, this study proposes a novel convolutional neural network that combines 1D convolution and 2D convolution, and introduces an attention mechanism to enhance feature extraction capability. The study also explores the advantages and disadvantages of combining deep learning features with manual features, and adopts an evolving fuzzy system for decision-making interpretability.
Article
Acoustics
Hong Xu, Zhengyao He, Qiang Shi, Yushi Wang, Bo Zhang
Summary: This paper presents the development of a directional segmented ring transmitting transducer that can radiate sound waves in any horizontal region. The study focuses on the structure of the segmented ring transducer, its radiation sound field characteristics, and the beam pattern control method based on modal synthesis. The authors propose orthogonal beam pattern functions for adjusting steering angles and establish a three-dimensional finite element model to simulate the transmitting beam patterns. Experimental measurements and tests validate the effectiveness of the proposed transducer, showcasing its ability to steer the beam patterns to different directions.
Article
Acoustics
Jirui Yang, Shefeng Yan, Di Zeng, Gang Tan
Summary: This paper proposes an improved domain adaptation framework, self-supervised learning minimax entropy, to enhance the recognition performance of underwater target recognition models. The experimental results demonstrate that applying domain adaptation methods can effectively improve the recognition accuracy of the models under various marine conditions.
Article
Acoustics
Zonghan Sun, Jie Tian, Yuhang Zheng, Xiaocheng Zhu, Zhaohui Du, Hua Ouyang
Summary: This paper analyzes the noise reduction method of installing a sinusoidal-shaped inlet duct on a cooling fan through theoretical and experimental analysis of the acoustic mode modulation. The study establishes the correlation between the free field noise and acoustic mode of the fan rotor and the unsteady forces on the rotor blade surface. The results show that the sinusoidal-shaped inlet duct achieves greater noise reduction compared to a straight duct, especially at the blade passing frequency and its first harmonic.
Article
Acoustics
Min Li, Rumei Han, Hui Xie, Ruining Zhang, Haochen Guo, Yuan Zhang, Jian Kang
Summary: This study is part of a global collaboration to translate and standardise soundscape research. A reliable questionnaire for soundscape characterisation in Mandarin Chinese was developed and validated. The study found that salient sound sources become the focus of attention for individuals in urban open spaces, and the perception is also influenced by the acoustic characteristics of the soundscape. Certain types of sound sources play a more important role in soundscape perception.
Article
Acoustics
Arezoo Talebzadeh, Dick Botteldooren, Timothy Van Renterghem, Pieter Thomas, Dominique Van de Velde, Patricia De Vriendt, Tara Vander Mynsbrugge, Yuanbo Hou, Paul Devos
Summary: This study proposes a sound selection methodology to enhance the soundscape in nursing homes and reduce BPSD by analyzing sound characteristics and recognition methods. The results highlight the sound characteristics that lead to positive responses, while also pointing out the need for further studies to understand which sounds are most suitable for people with dementia.
Article
Acoustics
Yang Yang, Yongxin Yang, Zhigang Chu
Summary: This paper introduces a grid-free compressive beamforming method compatible with arbitrary linear microphone arrays, and demonstrates the correctness and superiority of the proposed method through examples. Monte Carlo simulations are performed to reveal the effects of source coherence, source separation, noise, and number of snapshots.
Article
Acoustics
Sukru Selim Calik, Ayhan Kucukmanisa, Zeynep Hilal Kilimci
Summary: Computer-Aided Language Learning (CALL) is growing rapidly due to the importance of acquiring proficiency in multiple languages for effective communication. In the field of CALL, the detection of mispronunciations is vital for non-native speakers. This research introduces a novel framework using audio-centric transformer models to detect mispronunciations in Arabic phonemes. The results demonstrate that the UNI-SPEECH transformer model yields notable classification outcomes in Arabic phoneme mispronunciation detection. The comprehensive comparison of these transformer models provides valuable insights and guidance for future investigations in this domain.
Article
Acoustics
Yi-Yang Ni, Fei-Yun Wu, Hui-Zhong Yang, Kunde Yang
Summary: This paper proposes an improved method for compressive sensing by introducing a self training dictionary scheme and a CS reconstruction method based on A*OLS, which enhances the sparse representation performance of propeller signals.