Article
Materials Science, Textiles
Yusuf Saygili, Garip Genc, Kenan Y. Sanliturk, Hasan Koruk
Summary: This study investigates the acoustic and mechanical properties of homogeneous and hybrid jute and luffa biocomposites. By designing and manufacturing composite materials, the elasticity moduli are determined using experimental and theoretical models. The results show that the hybrid composites have good acoustic absorption and damping properties.
JOURNAL OF NATURAL FIBERS
(2022)
Article
Acoustics
Guochenhao Song, Zhuang Mo, J. Stuart Bolton
Summary: This article proposes a general method for modeling layered acoustical systems using two by-two transfer matrices, and solving for their acoustic absorption, reflection, and transmission coefficients. The method ensures the accuracy of wave attenuation terms by decomposing each layer's transfer matrix and reformulating the equation system. The predicted acoustic properties of layered systems calculated using this method have been validated by comparison with previously-existing methods.
JOURNAL OF SOUND AND VIBRATION
(2023)
Article
Materials Science, Textiles
Surajit Sengupta, Gautam Basu, Mallika Datta, Sayandeep Debnath, Devarun Nath
Summary: The study found that jute fiber can be effectively used as a sound absorber or barrier, absorbing and transmitting sound energy significantly. Statistical models can predict the sound absorption effects of fiber at different frequencies, and stuffed jute fiber performs best at 5000 Hz sound frequency application.
JOURNAL OF THE TEXTILE INSTITUTE
(2021)
Article
Green & Sustainable Science & Technology
Chun-Won Kang, Mina K. Kim, Eun-Suk Jang
Summary: Industrialization and rising population density have resulted in noise becoming a common problem, necessitating sound absorption and insulation methods. This study explores the potential of corrugated cardboard for noise reduction, with perforated corrugated cardboard with multi-frequency resonators showing excellent sound absorption and insulation performance.
Article
Materials Science, Characterization & Testing
Orcun Saf, Haluk Erol, Ali Erkin Kutlu
Summary: This study proposes an alternative method for elastic characterization using impedance tube-based sound transmission loss measurements. By calculating the surface vibration and the relation between partition impedance and surface integral, the accuracy of acoustic research can be improved. The study also explains deviations from the theoretical models and derive empirical coefficients based on experimental results.
Article
Materials Science, Textiles
Hasan Koruk, Ahmet Cihan Ozcan, Garip Genc, Kenan Y. Sanliturk
Summary: This study investigates the acoustic properties of natural fiber-reinforced composites, specifically focusing on the effects of sample thickness and fiber/resin ratio on the sound absorption coefficients (SACs) and transmission losses (TLs) of jute and luffa fiber-reinforced biocomposites. The study also predicts the acoustic properties of natural fiber-based samples with different thicknesses using mathematical models and compares the theoretical and experimental results.
JOURNAL OF NATURAL FIBERS
(2022)
Article
Acoustics
Li Zechao, Chen Sizhong, Wu Zhicheng, Yang Lin
Summary: This study introduces an improved method for determining the sound properties of acoustic materials, which combines wavefield decomposition and transfer matrix methods and accurately measures the sound insulation and absorption properties of materials.
JOURNAL OF VIBRATION AND CONTROL
(2021)
Article
Acoustics
Zechao Li, Lin Yang, Hongbin Ren, Sizhong Chen, Zheng Liu, Jianbo Feng, Zepeng Gao, Yong Chen
Summary: This article introduces a hybrid approach for evaluating the acoustic performance of multi-layered materials, and validates its accuracy and feasibility through experimental and numerical comparisons. This method can be applied in estimating the acoustical behaviors of multi-layered structures in noise control treatments.
JOURNAL OF VIBRATION AND CONTROL
(2022)
Article
Acoustics
Zhongxu Kang, Ruixiang Song, Huijuan Zhang, Qiang Liu
Summary: This study investigated the sound insulation performance of four perforated panel structures based on the single-hole model, and developed a modified transfer matrix method (MTM) to improve accuracy. MTM was used to predict and compare the transmission loss (TL) of the structures with good agreement in the effective frequency range. Effects of dimensions on TL were studied, showing that the double-layer perforated panel significantly increased TL at medium and high frequencies, while the double-layer resonant panel increased TL at low frequencies.
Article
Mechanics
Artur Maurin, Leszek Kwapisz
Summary: This study investigates the sound transmission loss of composite barriers using 3D structure-acoustic finite element analysis, proposing a simplified calculation method for fast assessment. The numerical and experimental results show the significant impact of model parameters on sound transmission loss at different frequencies.
COMPOSITE STRUCTURES
(2021)
Article
Agricultural Engineering
Zhi Jin, Jinyi Li, Qiangqiang Wang, Wenbo Su, Xinfang Duan, Zhaoqun Tang
Summary: The study found that the multifunctional panels made from jute fibers blended with polyester fibers have excellent thermal insulation, sound absorption, and humidity control properties. The thermal insulation performance of the panels is comparable to commercial thermal insulators, with sound absorption reaching commercial levels and good potential in humidity control.
INDUSTRIAL CROPS AND PRODUCTS
(2021)
Article
Acoustics
Xiangyuan Xu, Jing Zhao, Tianzhu Lu, Zhifei Chen, Ming Bao
Summary: This study utilized two-dimensional finite-difference time-domain analysis to investigate sound transmission loss (STL) of porous materials with different incident angles. The method demonstrated the feasibility of measuring STL in situ using one particle velocity-pressure sensor and one pressure sensor, and successfully calculated the STL values in numerical analysis that matched theoretical values at all incident angles investigated.
Article
Green & Sustainable Science & Technology
Tomas Vilniskis, Tomas Janusevicius
Summary: According to circular economy principles, recycling and reusing tyre rubber waste is an advanced and ecological waste disposal technology. Chemical devulcanization is an innovative method to recycle rubber waste. This study found that multilayered structures with devulcanized rubber samples had high transmission loss and could be used for sound-insulating structures.
Article
Acoustics
Shuaixing Wang, Yong Xiao, Jintao Gu, Chenying Hu, Hao Zhang, Jihong Wen
Summary: To insulate low-frequency sound in lightweight structures, double-panel metastructures (DPMSs) composed of two layers of metamaterial plates lined with a porous material (PM) layer are proposed. An efficient semi-analytical approach based on the transfer matrix method is used to predict the sound transmission loss (STL) of the DPMS with PM. Parameters affecting the STL are analyzed, and it is demonstrated that the DPMS lined with PM can achieve significantly higher diffuse field STL than the mass law at low frequencies below 500 Hz.
Article
Engineering, Mechanical
Yi Yang, Michael J. Kingan, Brian R. Mace
Summary: The study presents a wave-based methodology for investigating sound transmission through rectangular, rigidly-baffled panels, incorporating the modal behavior of the structure. The panel is homogeneous in-plane, with arbitrary complexity in through-thickness construction, and the method combines wave and finite element analysis while considering modal effects.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2021)
Article
Acoustics
Akash Shrivastava, Amiya R. Mohanty
JOURNAL OF VIBRATION AND CONTROL
(2020)
Article
Engineering, Electrical & Electronic
Marxim Rahula Bharathi Boopathi Rajan, Amiya Ranjan Mohanty
IET RADAR SONAR AND NAVIGATION
(2020)
Article
Acoustics
D. Panda, A. R. Mohanty
Summary: The gradient-based sonic crystal (GBSC) is an improved design over traditional sonic crystals, widening existing bandgaps and inducing high acoustical losses. Adjusting parameters such as resonator size, distance, and orientation influences the acoustic attenuation by GBSCs. Experimental results were used to develop robust finite element models.
ACOUSTICS AUSTRALIA
(2021)
Article
Automation & Control Systems
Ranjan Sasti Charan Pal, Amiya Ranjan Mohanty
Summary: This article explores the effects of eccentricity related faults on a three-phase induction motor and proposes a simplified calculation method. By dividing the rotor periphery into three phases and considering the rotor bars and saturation effects, a closed-form expression for inductances has been derived.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2021)
Article
Mathematics, Interdisciplinary Applications
Debasish Panda, Amiya Ranjan Mohanty
Summary: This study focuses on widening the bandgaps of sonic crystals (SCs) and achieving better insertion loss (IL) inside the bandgaps by using a gradient-based sonic crystal (GBSC). The GBSC applies property gradient to the conventional SC array, improving Bragg scattering and Helmholtz resonance, and resulting in wider attenuation gaps and higher attenuation levels.
FLUCTUATION AND NOISE LETTERS
(2022)
Article
Engineering, Multidisciplinary
Chinmayi Mahapatra, A. R. Mohanty
Summary: The proposed modified Levenberg-Marquardt algorithm (MLMA) is developed for localizing the 'point of burst' of an explosive sound source, which shows significantly faster global convergence compared to other algorithms through experimental validation.
Article
Engineering, Mechanical
Rismaya Kumar Mishra, Anurag Choudhary, A. R. Mohanty, S. Fatima
Summary: This paper proposes an intelligent vibration signal-based fault diagnosis approach for early identification of bearing faults, regardless of speed conditions. The approach combines frequency shift-based hybrid signal processing technique, sliding window-based feature extraction, and Henry Gas Solubility Optimization algorithm for feature selection, followed by Artificial Neural Network model training for fault classification. Experimental validation under constant and varying speed conditions demonstrates the tremendous potential of this approach in eliminating unplanned failures caused by bearing in rotating machinery.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE
(2022)
Article
Engineering, Mechanical
Debasish Panda, Amiya Ranjan Mohanty
Summary: This study investigates the improvement of acoustic attenuation in gradient-based sonic crystals (GBSCs) based on rigid and cladded resonators compared to traditional sonic crystals (SCs) through numerical and experimental analysis. It is found that the claddings enhance the overall attenuation of GBSCs, although their impact is not consistent across all frequencies. The claddings have a more significant effect on GBSCs compared to traditional Helmholtz resonator-based SCs (HRSCs), but GBSCs are less effective than HRSCs when the angle of incidence of sound waves changes. The study suggests that for a fixed filling ratio of GBSC resonators, the Bragg scattering and local resonance mechanisms are more effective in the resonance and first Bragg gap regimes, while the claddings significantly improve attenuation post these regimes. Therefore, the claddings should be used when the targeted frequency regime lies above the resonance and first Bragg gaps.
JOURNAL OF VIBRATION ENGINEERING & TECHNOLOGIES
(2023)
Article
Acoustics
Chinmayi Mahapatra, A. R. Mohanty
Summary: This paper proposes optimized microphone array geometries and the number of microphones for sound source localization. The significance of reference microphone selection on positioning accuracy is also discussed. The results indicate that at least six microphones are required for accurate source positioning, and the microphone spacing should be a minimum of 0.34 times the source range for localization of distant sound sources.
Article
Engineering, Multidisciplinary
R. K. Mishra, Anurag Choudhary, S. Fatima, A. R. Mohanty, B. K. Panigrahi
Summary: This paper proposes a self-adaptive fault diagnostic method based on vibration signatures for detecting multiple bearing faults using single-fault data. A hybrid signal processing technique is used for signal decomposition, followed by feature extraction and machine learning model training using optimized algorithms. The results show that the proposed method can effectively detect multiple bearing faults in limited data situations.
MEASUREMENT SCIENCE AND TECHNOLOGY
(2022)
Article
Engineering, Mechanical
R. K. Mishra, Anurag Choudhary, S. Fatima, A. R. Mohanty, B. K. Panigrahi
Summary: This paper proposes a time-domain based approach for identifying rolling element bearing faults. By converting vibration signatures into images and using a Convolutional Neural Network for feature extraction and Support Vector Machine for classification, faults can be accurately identified in a shorter amount of time.
JOURNAL OF VIBRATION ENGINEERING & TECHNOLOGIES
(2022)
Article
Engineering, Mechanical
Satyajit Mahapatra, Akash Shrivastava, Biswajit Sahoo, Amiya Ranjan Mohanty
Summary: In this study, a Kalman filter-based input estimation technique is used to indirectly estimate torque variation in a rotating system. The estimated torque closely matches the measured torque and the algorithm demonstrates robustness in different test cases. The accuracy of the model stiffness is found to be crucial for more accurate estimation.
JOURNAL OF VIBRATION ENGINEERING & TECHNOLOGIES
(2023)
Proceedings Paper
Health Care Sciences & Services
Rismaya Kumar Mishra, Anurag Choudhary, Amiya Ranjan Mohanty, Shahab Fatima
Summary: This study considers two major rotating components, motor and bearing, and simulates all possible multi-fault conditions under different speed and load conditions. The Support Vector Machine (SVM) model is trained directly using raw vibration signals, achieving a highest classification accuracy of 100% for multi-fault diagnosis. The model shows great potential for detecting multi-faults at a system level.
2022 PROGNOSTICS AND HEALTH MANAGEMENT CONFERENCE, PHM-LONDON 2022
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Biswajit Sahoo, A. R. Mohanty
Summary: Accurate fault classification is crucial for condition based maintenance applications. Data-driven approaches, especially deep learning models, have gained popularity due to their automation and high accuracy. However, the interpretability of deep learning models is challenging.
INTERNATIONAL CONGRESS AND WORKSHOP ON INDUSTRIAL AI 2021
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Neha Kumari, Ranjan Kumar, Amiya R. Mohanty, Satyendra K. Singh, Sujit K. Mandal, Prabhat K. Mandal
Summary: This paper proposes a hybrid ANN and Genetic Algorithm approach to improve the accuracy of predicting the Remaining Useful Life (RUL) of machinery. By using real data sets, the ANN structure is optimized and the best input is selected, leading to improved accuracy in predicting RUL.
2021 INTERNATIONAL CONFERENCE ON MAINTENANCE AND INTELLIGENT ASSET MANAGEMENT (ICMIAM)
(2021)
