Article
Acoustics
Nansha Gao, Baozhu Wang, Kuan Lu, Hong Hou
Summary: This study presents a periodic nested acoustic black hole phononic structure and discusses its complex band structures and Bloch wave propagation. The research shows that the acoustic black hole structure has positive application value in vibration reduction design.
Article
Engineering, Mechanical
Wei Guo, Shu-Yan Zhang, Yan-Feng Wang, Vincent Laude, Yue-Sheng Wang
Summary: The propagation of evanescent Lamb waves in the one-dimensional viscoelastic phononic metastrip is studied in this paper. The effect of viscosity, different cutting forms, and material properties on the complex band structure and wave distribution is investigated. The results provide a numerical and experimental foundation for practical applications of phononic metastrips.
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
(2022)
Article
Engineering, Multidisciplinary
Sihao Han, Qiang Han, Tengjiao Jiang, Chunlei Li
Summary: This paper presents a novel semi-analytical method to consider complex dispersion relations and evanescent wave characteristics in periodic magneto-electro-electric curved phononic crystal plates. The proposed approach is validated by analyzing accuracy and convergence, and the influence of magneto-electro coupling effect on dispersion relations is discussed. The significant parameters of the periodic curved phononic crystal are systematically studied, which determines the tunability of various guided wave modes.
APPLIED MATHEMATICAL MODELLING
(2023)
Article
Nanoscience & Nanotechnology
Soo-Ho Jo, Yong Chang Shin, Wonjae Choi, Heonjun Yoon, Byeng D. Youn, Miso Kim
Summary: This study investigates elastic wave localization in a phononic crystal with double defects by analyzing numerical and experimental results, revealing the mechanism of defect band splitting. Experimental results confirm that interaction between double defects leads to defect band splitting, and the degree of splitting is influenced by the inter-distance combinations of the defects.
Article
Acoustics
Yan Li, Yangjun Luo, Xiaopeng Zhang
Summary: In this study, a multiple band gap topological optimization strategy is proposed to design a two-dimensional phononic crystal with multiple band gaps. The optimized designs achieve multifrequency localization effects in in-plane or out-of-plane modes, promoting the application of phononic crystals in energy harvesting technologies.
JOURNAL OF SOUND AND VIBRATION
(2022)
Article
Crystallography
Soo-Ho Jo
Summary: This study examines the energy-localization performance of a one-dimensional phononic crystal with a defect under burst waves of different cycle numbers. The results show that energy-localization highly depends on the number of cycles, with better performance observed with larger cycles or continuous waves. Burst waves with a small number of cycles show limited improvement and do not induce clear energy-localized behaviors. The formation of defect-mode-enabled energy localization requires burst waves with a large number of cycles (over 500 in the case study).
Article
Mathematics, Applied
S. H. Jo, D. Lee
Summary: This paper proposes a method to enhance the performance of a flexural-wave-generation system by using the energy-localization characteristics of a phononic crystal (PnC) with a piezoelectric defect and an analytical approach that accelerates the predictions of wave-generation performance. The proposed analytical model is based on the Euler-Bernoulli beam theory, and the transfer matrix and S-parameter methods are used for band-structure and time-harmonic analyses. The results demonstrate that the velocity amplitudes of flexural waves can be amplified by almost ten times at the defect-band frequency compared to a system without the PnC. Moreover, the study provides design guidelines for piezoelectric-defect-introduced PnCs by analyzing the changes in wave-generation performance depending on the defect location.
APPLIED MATHEMATICS AND MECHANICS-ENGLISH EDITION
(2023)
Article
Acoustics
Xiao-Shuang Li, Xiao-Lei Tang, Xiao-Xing Su, Chuanzeng Zhang, Yue-Sheng Wang
Summary: In this study, three-dimensional phononic crystal-based coupled resonator waveguides (PnCCRWs) are proposed for guiding acoustic waves along complex routes. The interaction between the PnC point defects is described by the tight-binding model, enabling the propagation of acoustic wave energy along designated paths.
JOURNAL OF SOUND AND VIBRATION
(2022)
Article
Engineering, Mechanical
Zhuangzhuang He, Gongye Zhang, Xin Chen, Yu Cong, Shuitao Gu, Jun Hong
Summary: The localization of elastic wave at defect in phononic crystals has been studied for designing piezoelectric energy harvesting devices. A modified couple stress theory and a mixed finite element method were used to develop a new interface to capture the microstructure-dependent size effect in simulation. Numerical results show that considering size effect, the frequencies of bandgap and defect bands increase with decreasing model size compared to classical theory. Moreover, size reduction affects the stiffness ratio and thus the displacement amplitude, output voltage and power of the PEH device.
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
(2023)
Article
Nanoscience & Nanotechnology
Soo-Ho Jo, Heonjun Yoon, Yong Chang Shin, Wonjae Choi, Byeng D. Youn, Miso Kim
Summary: This study proposes an L-shaped arrangement of triple defects in a phononic crystal for broadband piezoelectric energy harvesting. The design effectively confines and harvests elastic-wave energy over a wide range of frequencies, overcoming the limitations of single and double defect designs.
Article
Crystallography
Soo-Ho Jo, Byeng D. Youn
Summary: This study introduces a novel design concept for phononic crystals, examining differently configured double defects to achieve broadband elastic wave energy localization and harvesting.
Article
Materials Science, Multidisciplinary
Ahmed Mehaney, Abd Allah Shehatah, Ashour M. Ahmed
Summary: This study introduced a one-dimensional ternary phononic crystal sensor for discriminating and sensing the acoustic properties of different biodiesel fuels in the ultrasonic range. By combining a liquid-filled defect layer, the sensor exhibited ultra-high sensitivity and selectivity towards Extra-virgin olive, Tesco sunflower, Methyl Oleate, and Soybean biofuels. Numerical results showed that Soybean oil had the highest sensitivity and quality factor compared to the other oils, while Methyl Oleate showed sensitivity and quality factor values that varied with temperature changes. The proposed sensor outperformed many previously reported sensors and could be utilized for differentiating biodiesel fuels.
MATERIALS CHEMISTRY AND PHYSICS
(2021)
Article
Materials Science, Multidisciplinary
Muhammad
Summary: The study proposes a new type of acoustic bio-chemical sensor based on the principles of phononic crystals and metamaterials to detect temperature and pressure changes in solvents. By introducing defects and localized cavity modes, the sensor efficiently captures the variations in acoustic properties of active solvents. These smart sensors have useful applications in pharmaceutical production, petrochemicals, and cosmetic production.
MATERIALS TODAY COMMUNICATIONS
(2022)
Article
Materials Science, Multidisciplinary
Muhammad
Summary: Phononic crystals and metamaterials are used to propose a new type of acoustic bio-chemical sensor that can detect temperature and pressure changes in active solvents. The sensor exploits the trampoline effect to achieve a wide low-frequency bandgap and introduces a defect to adjust localized cavity modes. By filling the cavity with MNE and ENE solvents, fluid-solid coupling physics is achieved. The sensor captures the variation in acoustic properties of the solvents through Fano-like interference/resonance effect, making it suitable for sensing applications in various industries.
MATERIALS TODAY COMMUNICATIONS
(2022)
Article
Materials Science, Multidisciplinary
Zuguang Bian, Xiaoliang Zhou
Summary: This paper introduces a discrete tuning method by transforming the phases of components, allowing for easy control of band gaps in phononic crystals in finite states. Simulations using the finite element method show significant changes in band gaps when phase transformations of components occur. This work lays the theoretical foundation for manufacturing a phononic crystal acting as an acoustic switch.
MECHANICS OF ADVANCED MATERIALS AND STRUCTURES
(2021)
Article
Green & Sustainable Science & Technology
Keunsu Kim, Heonjun Yoon, Byeng D. Youn
Summary: The research aims to tackle the challenge of weak fault signals buried in environmental noises in rolling bearing diagnosis. By developing a noise-robust feature extraction method, this study demonstrates the potential of robust bearing diagnosis in various noisy environments.
INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING-GREEN TECHNOLOGY
(2023)
Article
Engineering, Mechanical
Soo-Ho Jo, Byeng D. Youn
Summary: This study investigates the energy-localized behaviors of a one-dimensional phononic crystal with closely arranged but differently patterned double defects. Through analysis of different combinations of double-defect lengths, the study reveals new phenomena of energy localization in double-defect mode. The incorporation of smart materials is expected to open up new possibilities for wave tailoring in phononic crystals.
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
(2023)
Article
Physics, Applied
Soo-Ho Jo, Donghyu Lee, Heonjun Yoon, Byeng D. Youn
Summary: The integration of defect-introduced phononic crystals (PnCs) and piezoelectric materials has led to the development of new conceptual products for energy harvesting, wave filtering, and ultrasonic sensing. However, previous work has been limited to single-defect situations. This study aims to expand the PnC design space into double defects to make ultrasonic transducers useful at multiple frequencies. The study focuses on longitudinal wave generation and modifies a previous analytical model to predict the wave-generation performance under a double-defect situation. Two parametric studies analyze the effect of input voltage setting and spacing between double defects on output responses. These ultrasonic transducers have potential applications in nondestructive testing and ultrasonic imaging.
JOURNAL OF PHYSICS D-APPLIED PHYSICS
(2023)
Article
Engineering, Industrial
Kyumin Na, Heonjun Yoon, Jaedong Kim, Sungjong Kim, Byeng D. Youn
Summary: This paper proposes a novel method called probabilistic energy-ratio-based localization (PERL) for boiler tube leak localization in a thermal power plant using acoustic emission sensors. The method calculates the ratio of the signal energy from the specific band energy using acoustic dissipation theory and characterizes the uncertainty of the measured root mean square (RMS) in a probabilistic manner. Case studies confirm that the proposed method enables accurate localization of a boiler tube leak position.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Correction
Computer Science, Interdisciplinary Applications
Adam Thelen, Xiaoge Zhang, Olga Fink, Yan Lu, Sayan Ghosh, Byeng D. Youn, Michael D. Todd, Sankaran Mahadevan, Chao Hu, Zhen Hu
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2023)
Review
Computer Science, Interdisciplinary Applications
Adam Thelen, Xiaoge Zhang, Olga Fink, Yan Lu, Sayan Ghosh, Byeng D. Youn, Michael D. Todd, Sankaran Mahadevan, Chao Hu, Zhen Hu
Summary: Digital twin, as an emerging technology in the industry 4.0 era, is drawing unprecedented attention due to its potential in optimizing various processes. In this second part of the paper, the focus is on reviewing the key enabling technologies of digital twins, including uncertainty quantification, optimization methods, open-source datasets and tools. A case study of a battery digital twin is presented to illustrate the modeling and twinning methods discussed in the review. The code and preprocessed data for generating the case study results are available on Github.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2023)
Article
Computer Science, Interdisciplinary Applications
Hyeonchan Lee, Wongon Kim, Hyejeong Son, Hyunhee Choi, Soo-Ho Jo, Byeng D. D. Youn
Summary: The Digital Twin (DTw) model is a virtual numerical model that utilizes observed data from the real system to support engineer decisions. Bayesian calibration is a statistical method that estimates uncertain model parameters by using observed data and prior knowledge. This study presents a cost-effective stochastic algorithm called the Greedy Stochastic Section Search (GSSS) algorithm, which systematically explores high-dimensional parameter space to select proper initial points for DTw.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2023)
Article
Computer Science, Interdisciplinary Applications
Sehui Jeong, Hyunhee Choi, Byeng D. Youn, Hyejeong Son
Summary: Model calibration is the process of adjusting unknown parameters in order to minimize the error between simulation outputs and experimental observations. Kennedy and O'Hagan's Bayesian model calibration is notable for its ability to consider various sources of uncertainty, but determining the prior distributions of hyperparameters is complex and challenging in real-world problems. This study proposes a statistical prior modeling method for the correlation hyperparameter of a model discrepancy, resulting in lower error without additional computational cost and without requiring user-dependent knowledge.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2023)
Article
Computer Science, Interdisciplinary Applications
Hyeongmin Kim, Chan Hee Park, Chaehyun Suh, Minseok Chae, Heonjun Yoon, Byeng D. Youn
Summary: This paper presents a novel architecture called a multi-scale path attention residual network to enhance the feature representational ability of a multi-scale structure. The network assigns different weights to features from different convolution paths using a path attention module. It also utilizes a stacked multi-scale attention residual block structure to extract meaningful multi-scale characteristics and relationships between scales.
JOURNAL OF COMPUTATIONAL DESIGN AND ENGINEERING
(2023)
Article
Mathematics, Applied
S. H. Jo, D. Lee
Summary: This paper proposes a method to enhance the performance of a flexural-wave-generation system by using the energy-localization characteristics of a phononic crystal (PnC) with a piezoelectric defect and an analytical approach that accelerates the predictions of wave-generation performance. The proposed analytical model is based on the Euler-Bernoulli beam theory, and the transfer matrix and S-parameter methods are used for band-structure and time-harmonic analyses. The results demonstrate that the velocity amplitudes of flexural waves can be amplified by almost ten times at the defect-band frequency compared to a system without the PnC. Moreover, the study provides design guidelines for piezoelectric-defect-introduced PnCs by analyzing the changes in wave-generation performance depending on the defect location.
APPLIED MATHEMATICS AND MECHANICS-ENGLISH EDITION
(2023)
Article
Engineering, Mechanical
Donghyu Lee, Byeng D. Youn, Soo-Ho Jo
Summary: This paper proposes a deep-learning-based inverse design framework for a one-dimensional, defective phononic crystal (PnC) as a narrow bandpass filter under longitudinal elastic waves. The framework includes three steps: inverse design generation and filtering, forward analysis of frequencies and filtering, and forward analysis of transmittance and near-optimal design selection. Four deep-learning models are considered in the inverse model. The results show that the frameworks proposed using the conditional variation autoencoder and the conditional generative adversarial network effectively present the best performance. The deep-learning-based framework reduces the need for manual intervention and simplifies the inverse design process, making it a promising approach for finding the near-optimal design solution for the use of defective PnCs as narrow bandpass filters.
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
(2023)
Article
Mathematics
Soo-Ho Jo, Donghyu Lee, Byeng D. Youn
Summary: This research extends PnC design to include double piezoelectric defects, allowing ultrasonic actuators to operate effectively across multiple frequencies. An analytical model is used to predict wave-excitation performance, and a comprehensive study analyzes the impact of changes in input voltage configurations on output responses.
Article
Computer Science, Interdisciplinary Applications
Taewan Hwang, Jong Moon Ha, Byeng D. Youn
Summary: The conventional deep learning-based fault diagnosis approach faces challenges under the domain shift problem, which is particularly pronounced in the diagnosis of planetary gearboxes due to the complicated vibrations they generate. To solve this challenge, this paper proposes a robust deep learning-based fault-detection approach for planetary gearboxes by utilizing an enhanced health data map (HDMap) and employing autoencoder-based residual analysis and digital image-processing techniques. The proposed method achieved robust fault detection accuracy, outperforming prior methods in most cases.
JOURNAL OF COMPUTATIONAL DESIGN AND ENGINEERING
(2023)
Article
Computer Science, Interdisciplinary Applications
Jongmin Park, Jinoh Yoo, Taehyung Kim, Jong Moon Ha, Byeng D. Youn
Summary: This study proposes a multi-head de-noising autoencoder-based multi-task model for robust diagnosis of rolling element bearings under various speed conditions. The proposed model employs a multi-head de-noising autoencoder and multi-task learning strategy to robustly extract features and disentangle the speed- and fault-related information. The results show that the proposed method outperforms conventional methods, especially when there are large discrepancies in the operating conditions of the training and test datasets.
JOURNAL OF COMPUTATIONAL DESIGN AND ENGINEERING
(2023)
Article
Engineering, Mechanical
Rosaria Del Toro, Maria Laura De Bellis, Marcello Vasta, Andrea Bacigalupo
Summary: This article presents a multifield asymptotic homogenization scheme for analyzing Bloch wave propagation in non-standard thermoelastic periodic materials. The proposed method derives microscale field equations, solves recursive differential problems within the unit cell, establishes a down-scaling relation, and obtains average field equations. The effectiveness of this approach is validated by comparing dispersion curves with those from the Floquet-Bloch theory.
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
(2024)
Article
Engineering, Mechanical
Yue Bao, Zhengcheng Yao, Yue Zhang, Xueman Hu, Xiandong Liu, Yingchun Shan, Tian He
Summary: This paper proposes a novel triple-gradient phononic acoustic black hole (ABH) beam that strategically manipulates multiple gradients to enhance its performance. The study reveals that the ABH effect is not solely brought about by the thickness gradient, but also extends to the power-law gradients in density and modulus. The synergistic development of three different gradient effects leads to more pronounced and broader bandgaps in PCs.
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
(2024)
Article
Engineering, Mechanical
Matthias Ryser, Jason Steffen, Bekim Berisha, Markus Bambach
Summary: This study investigates the feasibility of replacing complex experiments with multiple simpler ones to determine the anisotropic yielding behavior of sheet metal. The results show that parameter identifiability and accuracy can be achieved by combining multiple specimen geometries and orientations, enhancing the understanding of the yield behavior.
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
(2024)
Article
Engineering, Mechanical
Wenjun Li, Pengfei Zhang, Siyong Yang, Shenling Cai, Kai Feng
Summary: This study presents a novel two-dimensional non-contact platform based on Near-field Acoustic Levitation (NFAL), which can realize both one-dimensional and two-dimensional transportation. Numerical and experimental results prove the feasibility and ease of this method.
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
(2024)
Article
Engineering, Mechanical
Shuo Liu, Lu Che, Guodong Fang, Jun Liang
Summary: This study presents a novel lamina conjugated bond-based peridynamic (BB-PD) model that overcomes the limitations of material properties and is applicable to composite laminates with different stacking sequences. The accuracy and applicability of the model are validated through simulations of elastic deformation and progressive damage behavior, providing an explanation of the damage modes and failure mechanisms of laminated composite materials subjected to uniaxial loading.
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
(2024)
Article
Engineering, Mechanical
Omar El-Khatib, S. Kumar, Wesley J. Cantwell, Andreas Schiffer
Summary: Sandwich-structured honeycombs (SSHCs) are hierarchical structures with enhanced mass-specific properties. A model capable of predicting the elastic properties of hexagonal SSHCs is presented, showing superior in-plane elastic and shear moduli compared to traditional honeycombs, while the out-of-plane shear moduli are reduced.
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
(2024)
Article
Engineering, Mechanical
Zhi-Jian Li, Hong-Liang Dai, Yuan Yao, Jing-Ling Liu
Summary: This paper proposes a process-performance prediction model for estimating the yield strength and ultimate tensile strength of metallic parts fabricated by powder bed fusion additive manufacturing. The effect of main process variables on the mechanical performance of printed metallic parts is analyzed and the results can serve as a guideline for improvement. The accuracy of the proposed model is validated by comparison with literature.
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
(2024)
Article
Engineering, Mechanical
Saman A. Bapir, Kawa M. A. Manmi, Rostam K. Saeed, Abdolrahman Dadvand
Summary: This study numerically investigates the behavior of an ultrasonically driven gas bubble between two parallel rigid circular walls with a cylindrical micro-indentation in one wall. The primary objective is to determine the conditions that facilitate the removal of particulate contamination from the indentation using the bubble jet. The study found that the bubble jet can effectively remove contamination from the indentation for certain ranges of indentation diameter, but becomes less effective for larger indentation diameters.
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
(2024)
Article
Engineering, Mechanical
E. Polyzos, E. Vereroudakis, S. Malefaki, D. Vlassopoulos, D. Van Hemelrijck, L. Pyl
Summary: This research investigates the elastic and damage characteristics of individual composite beads used in 3D printed composites. A new analytical probabilistic progressive damage model (PPDM) is introduced to capture the elastic and damage attributes of these beads. Experimental results show strong agreement with the model in terms of elastic behavior and ultimate strength and strain.
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
(2024)
