Article
Engineering, Multidisciplinary
Nitin Burud, J. M. Chandra Kishen
Summary: This work delves into the spectral realm of acoustic emission waveforms, proposing the use of wavelet entropy to estimate spectral disorder. It demonstrates the potential dual application of wavelet entropy as a signal discriminator and damage index. The increase in statistical variance of wavelet entropy distribution with stress level indicates the presence of multi-sources and multi-mechanistic fracture processes.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2021)
Article
Engineering, Mechanical
Enrique Caso, Alfonso Fernandez-del-Rincon, Pablo Garcia, Alberto Diez-Ibarbia, Javier Sanchez-Espiga
Summary: This article uses acoustic emission (AE), which is the detection of high frequency elastic waves, to relate events from gear mesh with surface wear and operational behavior in a planetary gearbox. AE monitoring provides information about friction between surfaces in relative motion, overcoming the limitations of traditional technologies. The investigation reveals that traditional condition indicators are not sensitive to modifications in active gear surfaces, but AE event width is found to be a suitable indicator for monitoring gear surfaces.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Energy & Fuels
Soeren L. Dreyer, Ruizhuo Zhang, Junbo Wang, Aleksandr Kondrakov, Qingsong Wang, Torsten Brezesinski, Juergen Janek
Summary: Sodium-ion batteries are being extensively studied and commercialized as an alternative to lithium-ion batteries. Na-deficient P2-type layered oxides are promising cathode materials due to their fast sodium diffusion and high charge/discharge rates. However, a structural transition and capacity degradation occur when sodium is extracted at high potentials. This study investigates the acoustic emission (AE) of P2-type layered oxide cathodes with varying entropy, revealing a relationship between entropy, phase transition, and detected AE signals.
JOURNAL OF PHYSICS-ENERGY
(2023)
Article
Materials Science, Multidisciplinary
Junaid Ahmed, Tonghao Zhang, Didem Ozevin, Matthew Daly
Summary: This study demonstrates a multiscale indentation-based technique to isolate dislocation and martensitic transformation sources in complex alloys, using acoustic emission analysis to fingerprint multiple active deformation mechanisms. By comparing the acoustic emission signals with microscopy and crystallographic analysis, this method provides a rapid non-destructive tool to correlate acoustic emission sources with deformation mechanisms.
MATERIALS CHARACTERIZATION
(2021)
Article
Engineering, Mechanical
Nitin B. Burud, J. M. Chandra Kishen
Summary: This study investigates the acoustic emission phenomenon of concrete within the framework of non-extensive statistical mechanics. The research aims to re-derive the distribution function, study the size effect on parameters, and comment on the self-organization phenomenon and criticality near failure in quasi-static loading of concrete beams. The study finds that the power-function based distribution model is superior to the exponential-function based model, and that the entropic index is size-independent.
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
(2021)
Article
Physics, Multidisciplinary
Zhenxing Ji, Peihua Jiang, Haiyang Yi, Zhuang Zhuo, Chunyuan Li, Zhide Wu
Summary: This study investigates the precursor of granite failure by introducing two novel parameters, i.e., the coefficient of variation of information entropy and the correlation dimension of amplitude data. The results show a strong correlation between the coefficient of variation of information entropy and granite failure, which can be used as an indicator of rock instability. The fluctuation of the correlation dimension indicates different stages during the loading process, and the starting point or bottom point at the correlation dimension curve can be selected as an indicator point for rock instability. The combined analysis of information entropy and correlation dimension improves the accuracy of rock instability prediction.
Article
Geosciences, Multidisciplinary
Chunlai Wang, Cong Cao, Yubo Liu, Changfeng Li, Guangyong Li, Hui Lu
Summary: Rockburst, a critical safety concern in underground engineering, is characterized by acoustic emission (AE) activity. This study investigated the dynamic rockburst process and identified the information entropy of dominant frequency as an indicator. By analyzing AE signals from true triaxial tests, a multiparameter synergetic method for predicting rockburst was proposed based on comprehensive analysis of precursory information. This research has important theoretical significance for improving prediction accuracy.
Article
Mechanics
Seyed Fouad Karimian, Mohammad Modarres
Summary: Acoustic emission (AE) for FRP structural health monitoring has been extensively studied, with recent focus on waveform analysis and selection of an optimum bin width which correlates well with conventional features, outperforming clustering performance.
COMPOSITE STRUCTURES
(2021)
Article
Construction & Building Technology
Jun-Yuan Guo, Jun-Yan Wang, Chen Bian
Summary: Monitoring the cyclic tensile behavior of high strain hardening UHPC through acoustic emission analysis showed marginal changes in stress-strain curves in the elastic state, and reduced residual strain and stiffness in the strain hardening state, ultimately stabilizing. This study also proved the Kaiser effect and proposed a relationship between total tensile strain and loading stiffness degradation ratio under cyclic tension for evaluating stiffness of UHPC.
CONSTRUCTION AND BUILDING MATERIALS
(2021)
Article
Engineering, Mechanical
Furui Wang, Rupeng Zhu
Summary: This study develops a novel method for detecting bolt head corrosion and verifies its effectiveness through laboratory experiments, showing its potential for important engineering applications.
NONLINEAR DYNAMICS
(2022)
Article
Materials Science, Multidisciplinary
Kai Yang, Qixiang Yan, Chuan Zhang, Wang Wu, Fei Wan
Summary: The mechanical properties of carbonaceous shale improve with increasing confining pressure but deteriorate with increasing water content. Moisture weakens cohesion and reduces internal friction angle of carbonaceous shale. Acoustic emission activities in saturated specimens occur at lower normalized stress levels compared to natural-state specimens.
INTERNATIONAL JOURNAL OF DAMAGE MECHANICS
(2021)
Article
Engineering, Civil
Zhenghu Zhang, Lihua Hu, Tiexin Liu, Hongchun Zheng, Chun'an Tang
Summary: This study presents a new research perspective on evaluating rock failure by analyzing acoustic emission data using cluster method and information entropy theory. The spatial scale and directionality of AE event distribution were studied with normalized applied stress, showing that the distribution of accumulative link length and directionality obeys Weibull distribution. Entropies of link length and directionality exhibited noticeable downward trends preceding rock failure.
GEOMECHANICS AND ENGINEERING
(2021)
Article
Construction & Building Technology
Shahzad Ashraf, Suliman Khan, Vipin Kumar Oad
Summary: This study investigates the impact of graphene nanoplatelets (GNPs) on cement composites by monitoring the micro-cracking pattern and structural applications using acoustic emission (AE) monitoring. The results show that GNPs content has a significant effect on the absorbance rate and microstructural characteristics of the composites. The flexural capacity, compressive strength, and resistance to fracture of the composites are improved with the addition of GNPs.
CASE STUDIES IN CONSTRUCTION MATERIALS
(2023)
Article
Chemistry, Analytical
Leslaw Kyziol, Katarzyna Panasiuk, Grzegorz Hajdukiewicz, Krzysztof Dudzik
Summary: The article discusses using acoustic emission and K-S metric entropy methods to determine the mechanical properties of composite materials. Modern measurement methods and tools allow properties to be determined during the design phase. Analysis of the acoustic emission signal and stress range can aid in material design and usage.
Article
Automation & Control Systems
Samuel Soares Ferreira, Fred Lacerda Amorim, Janes Landre Junior, Luis Henrique Andrade Maia, Alisson Rocha Machado, Wisley Falco Sales
Summary: This study proposed a new technique for identifying electrode wear during electrical discharge machining (EDM) using acoustic emission (AE) signals. It demonstrated the differences in wear rate of electrolytic copper electrodes under different parameters and their correlation with AE signals. The results indicated that the new technique's signals effectively responded to electrode wear and were sensitive to the wear rate.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
Article
Engineering, Mechanical
R. Gholami, Saleh Akbarzadeh, S. Ziaei-Rad, M. M. Khonsari
Summary: The study aims to investigate the impact of nano-particles' weight fraction on the friction coefficient in mixed-lubrication regime through experimental and theoretical analysis. Results demonstrate good agreement between theoretical and experimental findings, with a parametric study conducted to explore additional influencing factors.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART J-JOURNAL OF ENGINEERING TRIBOLOGY
(2021)
Article
Engineering, Mechanical
Arash P. Jirandehi, M. M. Khonsari
Summary: A statistical method is presented for estimating the plastic strain energy per cycle in metals under fatigue. The distribution of plastic strain under cyclic loading follows a two-parameter Weibull probability function and a second probability function is incorporated to account for different crystallographic directions. Results from a thermodynamically based model and a finite element model support the predictions made using the statistical method.
INTERNATIONAL JOURNAL OF FATIGUE
(2021)
Article
Engineering, Mechanical
A. Nourian-Avval, M. M. Khonsari
Summary: This paper proposes a model for predicting fatigue life under multiaxial loading based on dissipated heat during fatigue tests, evaluating fatigue damage by considering different rates of dissipated energy under various multiaxial loadings. The predictive capability of the models is confirmed through comparison with experimental fatigue results.
INTERNATIONAL JOURNAL OF FATIGUE
(2021)
Article
Engineering, Mechanical
M. Mehdizadeh, M. M. Khonsari
Summary: The study presented an experimental and theoretical analysis of low carbon steel 1018 subjected to multiaxial loading, showing that different loading conditions affect fatigue life. The use of thermography for fatigue life prediction was more accurate than hysteresis loops in capturing specimens' fatigue life under multiaxial fatigue loading.
INTERNATIONAL JOURNAL OF FATIGUE
(2021)
Article
Engineering, Mechanical
Joonyoung Jang, Michael M. Khonsari
Summary: A new nonlinear fatigue damage accumulation model is developed in this paper, which considers the loading sequence effect and predicts the rate of damage by introducing a loading sequence parameter. The applicability of the proposed model is validated using nine sets of independent experimental measurements of fatigue life under multiple loading sequences, showing that the predictions are in agreement with the measured results and providing a reliable estimation of fatigue life.
FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES
(2021)
Review
Engineering, Mechanical
Arash P. Jirandehi, Michael M. Khonsari
Summary: Recent progress in microstructure-sensitive research has led to insights on estimating fatigue damage and predicting useful life. A computational crystal plasticity approach incorporating statistical representations of material microstructure and a new thermodynamically based framework has been suggested.
FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES
(2021)
Review
Physics, Multidisciplinary
Lijesh Koottaparambil, M. M. Khonsari
Summary: The study demonstrates that through a thermodynamic framework, various complex scenarios of frictional wear can be properly characterized, including unidirectional, bidirectional motions, transient operating conditions, and variable loading/speed sequencing.
Article
Materials Science, Composites
Ali Mahmoudi, Michael M. Khonsari
Summary: A new approach utilizing the concepts of kinetic strength and fracture fatigue entropy can reliably predict the fatigue life of laminated composites by considering the temperature and time dependence through Zhurkov's model.
JOURNAL OF COMPOSITE MATERIALS
(2022)
Article
Engineering, Mechanical
Ali Mahmoudi, M. M. Khonsari
Summary: A new method based on the fracture fatigue entropy (FFE) criterion is proposed to predict the fatigue life of metals. This method utilizes the concept of kinetic strength of solid materials to rapidly predict the cyclic plastic strain energy and temperature evolution. Experimental results for Al 7075-T6, LCS 1018, API 5L X52, and MCS 1045 are compared with theoretical predictions, demonstrating that this model can reliably predict the temperature evolution, plastic strain energy dissipation, and fatigue life of metals.
INTERNATIONAL JOURNAL OF FATIGUE
(2022)
Article
Engineering, Mechanical
Arash P. Jirandehi, Ali Haghshenas, M. M. Khonsari
Summary: In this study, fully-reversed bending fatigue and impulse excitation tests were conducted to investigate the behavior of High Carbon Steel (HCS) at different environmental temperatures. It was found that with increasing environmental temperature, the specimens tended to become more brittle, leading to a decrease in fatigue life.
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
(2022)
Article
Engineering, Chemical
Soroosh Salehi, Sahar Ghatrehsamani, Saleh Akbarzadeh, M. M. Khonsari
Summary: This paper presents an experimental procedure and a thermodynamic methodology for evaluating adhesive wear in systems with variable and sequential speeds. The continuum damage mechanics (CDM) is used to estimate the probability of asperities forming wear particles and derive the wear coefficient. The results show that the wear coefficient in descending cases is higher than in ascending velocity experiments. Additionally, Archard's law is not suitable for predicting wear volume in situations with variable speeds.
Article
Physics, Multidisciplinary
Mohammad A. Amooie, K. P. Lijesh, Ali Mahmoudi, Elaheh Azizian-Farsani, Michael M. Khonsari
Summary: The effect of sudden variations in working modes and fatigue behavior of CS 1018 is studied using a general model based on the concept of fracture fatigue entropy (FFE). Fully reversed bending tests are conducted on dog bone specimens with variable frequency tests to simulate fluctuating working conditions. The results show that regardless of frequency changes, FFE remains constant and within a narrow band range, similar to a constant frequency.
Article
Engineering, Mechanical
Mohammad A. Amooie, M. M. Khonsari
Summary: This study investigates the fracture behavior of carbon steel 1018 in low-temperature environments. Fully-reversed bending experimental tests were performed to examine the efficacy of using Fracture Fatigue Entropy (FFE) concept for predicting fatigue life at different environmental temperatures. The results show that lower operating temperatures can improve fatigue life of carbon steel. Additionally, FFE remains nearly constant and can be used for reliable prediction of fatigue life at different environmental temperatures. Illustrative examples are provided to demonstrate the utility of this approach for prediction purposes.
INTERNATIONAL JOURNAL OF FATIGUE
(2023)
Article
Mechanics
A. Mahmoudi, M. R. Khosravani, M. M. Khonsari, Tamara Reinicke
Summary: This study investigates the accumulated entropy at the crack tip of a semi-circular bending (SCB) specimen to determine the threshold for material fracture and interatomic debonding. The plastic flow at the crack tip is measured using the Digital Image Correlation (DIC) technique and strain maps superposed to SCB specimens. The generated entropy at the crack tip reaches a critical limit, beyond which bond breakage occurs, leading to crack surface propagation.
ENGINEERING FRACTURE MECHANICS
(2023)
Article
Materials Science, Multidisciplinary
Ali Mahmoudi, Mohammad A. Amooie, Lijesh Koottaparambil, Michael M. Khonsari
Summary: This study introduces a reliable technique for predicting the remaining useful life of components by measuring the temperature signature when the operating frequency is rapidly changed. The approach is validated through fatigue tests on stainless steel specimens. The method allows for predicting the remaining useful life at different operating frequencies.
