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In this study, generation of the transient evoked ooacoustic emissions in human ear has been simulated using a new electroacoustic model. The method of state variables was adopted to calculate the auditory model, and numerical integration methods have been used to solve differential equations in Matlab. Simulation results have been compared with the real data. In this study, latency curves, frequency spectrum of the simulated TEOAE and calculation errors were used to validate of the model. The results of this research show that simulated outputs are similar to clinical data.

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In this paper a new approach about relation of Acoustic Emission(AE) method and mechanical properties of ferrite-martensite dual phase steels(DPS) has presented. The AE signals from a tensile test using a range of DPS with different volume fractions of martensite (VM)s, in the range of 12–65% VM, were obtained and their AE signals were investigated. In order to better study DPS internal behaviour, a function named “sentry function” was used. The amount of this function depends on the strain energy and acoustic emission energy. the Results show that AE monitoring and sentry function are efficient tools for detection of micromechanisms, consisting of Ferrite-Martensite interface decohesion and/or martensite phase fracture, identifying the correlation of failure mechanisms to microstructure in DPS.

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Drilling of composite materials is one of the major processes in the manufacturing and assembly of sub-component. However, drilling of composite laminates can cause several damages such as degradation in residual tensile strength. In this study, effects of cutting speed, feed rate and drill angle on residual tensile strength of drilled laminates has been investigated. For this purpose, the Taguchi method was employed for three factors at three levels. Acoustic emission signals and wavelet analysis are used to monitor residual tensile strength. The experimental results indicated that the feed rate has the most significant effect. Based on time-frequency analysis of AE signals, it was found that AE signals with frequency ranges of (62.5-125), (250-312.5) and (312.5-375) KHz were generated from matrix cracking, fiber slipping and fiber breakage respectively.

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Acoustic Emission technique is a non destructive method which can be used for detection of corrosion mechanism. In this paper the corrosion of sulfuric and hydrochloric acids solution on some kinds of stainless steel like 304, 316 and GTD-450 with and without residual stress was surveyed by acoustic emission technique. Considering tests diagrams, cumulative counts in the samples with residual stress is more than other ones due to high sensitivity of stainless steel samples to stress corrosion cracking. Also frequency in the samples with residual stress is lower than other ones. Cumulative count in the stainless steel 304 is more than stainless steel 316 for all of the samples. A sudden and intensive corrosion in the hydrochloric acid environment was observed specially in the samples with residual stress. For stainless steel 304, this event was very harmful, because, it will the cause of some pitting corrosion, which concentrates stress in these locations and finally creates crack in structure.

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Delamination is one of the main defects in composite materials. Studying the initiation and propagation of delamination is useful for the design and production of high quality resistant materials. Therefore understanding the behavior of delamination damage and having enough knowledge about that will be helpful. In this study, generated acoustic emission signals from two types of glass/epoxy composite specimens at different layups, [0,90]5s and [0]10, is recorded. After that signals were analyzed by applying strain energy function. The results indicate that specimens at different layups have different stiffness behavior toward damage initiation and growth. Using strain energy function method initiation and growth of delamination can be evaluated. The obtained results provide useful information for the design and production of high quality resistant composite materials.

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Delamination is the most common failure mode in composite materials. It takes place in different modes, i.e. mode I, mode II or the combination of these modes. The present study is concerned with an investigation of mechanical and acoustic emission behavior of delamination. In this work, various lay-ups of glass/epoxy composite laminates have been used to study the delamination behavior when subjected to mode I, mode II and the mixed-mode I/II tests. First, the characterization of load-displacement curves of the specimens is done based on the AE parameters and mechanical responses and the curves were divided into three parts. The crack growth in the mode I was stable state and in the mixed-mode and mode II was unstable. In the next, interlaminar fracture toughness of the specimens, Gc, were measured using standard methodologies and acoustomechanical methodologies which is based on the mechanical behavior and AE information. It was found that the acoustomechanical method presents the lower limit of the interlaminar fracture toughness and agrees with the results that obtained from standard. The images were captured with Scanning electron microscope (SEM) from damage surfaces verifies the results that obtained from Acoustic emission.

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There are several direct and indirect methods to estimate in-situ stress. Generally in all methods rock breaking is required for in-situ stress determination in which broken rock response is due to displacement/strain or hydraulic pressure. Hydraulic fracture, Relief method, Jacking method, Strain Recovery method and borehole breakout method are known as direct methods. On other hand, the indirect methods estimation is based on changing of some physical or other properties of rock which represent from applying stress. Even though, these methods are also laboratory methods, however, indirect techniques are non destructive, low cost and simple for estimation of in-situ stress. This is the reason which has motivated rock mechanics researchers to use Acoustic Emission (AE) and Deformation Rate Analysis (DRA) methods. Results aaccuracy of the methods are affected by rock texture, cracks type and delay time. The delay time means that time between coring in field and test time for stress measuring. The capability of AE and DRA methods in stress estimation have been assessed in this research and the effect of delay time on estimated stress are worked out. AE and DRA tests were carried out on the samples for estimation of in-situ stress. Stress has a nature tensor with 9 components, in which six of them are independent components and the rest (3 components) are dependent components. Each component of tensor need to be determined with a total of six tensors which required six tests in six different orientations. Six series of samples with different delay times (4 series with 20 days as delay time and 2 series with 5 years as delay time) were obtained from abutments of Seyamreh dam (South-West of Iran). AE and DRA tests were carried out. The values obtain from these AE and DRA tests were compared with result of Hydraulic Fracturing (HF) method which carried out at the same locations. The comparison shows a good conformity between the result of AE and DRA methods with those of HF method for horizontal stresses where as there are variations noticed for vertical stress values. This may be due to this fact that in the HF method assumes the vertical stress is equal to overburden weight which is not correct assumption. The other result of this assumption is that the others two principal stresses are horizontal. It is obvious if one of principal stresses would be vertical the two other have to be horizontal. Furthermore, this investigation infers that delay time is very important parameter on the results obtained by AE & DRA methods. Thus better accuracy can be computed when the delay time is minimized.

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Sandwich composites are widely used in structural applications because of their appropriate mechanical properties and low strength/weight ratio. Delamination is common failure mode in these structures that lead to a reduction in strength and stiffness of composite. In this paper, using acoustic emission, initiation and propagation of delamination in sandwich composite specimens was investigated. The specimens were loaded under mode I loading. Then the characteristics of the signals related to different damage mechanisms were specified. The acoustic emission signals were classified based on their frequency ranges. Then the acoustic emission signals were recorded during the test specimens were processed using wavelet transform. Thus the percentage of energy in each components of the acoustic emission signal was specified. Each of these components has a certain frequency range corresponding to a damage mechanism. Thus the percentages of different damage mechanisms in each specimen were specified. The Scanning Electron Microscopy (SEM) was also employed to verify the results which were obtained from acoustic emission and wavelet transform method. The results showed acoustic emission is efficient tool for identification and separation of different damage mechanisms in sandwich structures.

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The AISI D2 steel is a high-chromium and high-carbon tool steel which has good mechanical properties such as high compressive strength and good through-hardening. Despite these advantages, fracture toughness of this steel is moderate. In this study, fracture toughness of AISI D2 steel was determined using Finite Element and Acoustic Emission methods. Selected steel (AISI D2 cold-work tool steel) was heat treated and tempered at different conditions. Then Compact testing specimens were prepared according to ASTM E399 standard and fracture toughness of the specimens was specified according to the standard method. The specimens were modeled in the commercial FE software (ABAQUS) and fracture toughness of the specimens was determined using FEM. Determination of fracture toughness using AE technique was carried out according to three methods: Acoustic Emission Energy Rate (AEER), Acoustic Emission Count Rate (AECR) and integral of sentry function. The results obtained from ASTM E399, Finite Element and Acoustic Emission methods were compared with each other. It was found that fracture toughness values which were obtained using AECR and integral of sentry function techniques are lower bound and the results obtained from FEM are upper bound values of the fracture toughness. Furthermore, fracture toughness values obtained using AEER were the most consistent with the results obtained from ASTM E399 standard method. Finally, it could be concluded that Acoustic Emission method can be used as a useful method for determination of fracture toughness of engineering materials.

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The aim of this article is to investigate the effects of Nylon nanofiber in carbon- epoxy composites properties under double cantilever beam test by Non-destructive Acoustic Emission testing. In order to increase tougher of carbon- epoxy composite, Nylon nanofibers were placed in to the midplane interface of carbon- epoxy laminates. In order to better identification of the effects of Nylon nanofibers and more accurate clustering of Acoustic emission parameters were used combining of k-means algorithm and Genetic algorithm for clustering. Acoustic emission descriptors like Amplitude, Duration, Count, Acoustic Energy and Rise time were used in order to survey identification of effects of nanofibers. The results of clustering of Acoustic emission signals that obtained from carbon- epoxy composite and carbon- epoxy nanomodified composite shows that the presence of Nylon nanofibers increase the tougher of carbon- epoxy composite and delayed damage mechanisms. This method of clustering is a good fit between acoustic signals and damage mechanisms and time of events. Cumulative events of Acoustic emission Amplitude obtained from damage mechanisms of both composite are in the same range and Acoustic emission duration of carbon-epoxy is more than carbon-epoxy nanomodified composite.

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Purpose of this study is to identify effects of hybrid fibers in composites properties which has reinforced by carbon and basalt fibers and also effects of hybrid composite in Acoustic Emission (AE) behavior under four point bending test by non-destructive AE testing. One of the main problems for failure mechanisms identification by AE method is discrimination of events due to different types of damage which occurs during loading of composite material. Fuzzy C- means clustering algorithm is a tool which is used in this paper to separate acoustic events. The results show that the method of clustering provides a better correlation between the acoustic signals, damage mechanisms and also time of these mechanisms. For analyzing the AE signals, some of the descriptors like amplitude, duration, count, acoustic energy and rise time were used to identify the micro mechanisms of failure. In the first steps of the hybrid composite loading, it is noisier than the last steps and it shows the progressive damage mechanisms. Scanning Electron Microscope (SEM) observation was verified the results of tests and analysis.

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Materials are often damaged during the process of detecting mass fractions by traditional methods. In this work, acoustic emission (AE) technology combined with wavelet packet analysis is used to evaluate the mass fractions of graphite/ epoxy composites. Attenuation characteristics of AE signals across the composites with different mass fractions are investigated. The AE signals are decomposed by wavelet packet technology to obtain the relationships between the energy and amplitude attenuation coefficients of feature wavelet packets and mass fractions as well. Furthermore, the relationship is validated by test samples. The results show that the lower proportion of graphite will correspond to the less attenuation. The attenuation characteristics of feature wavelet packets with the frequency range from 125 kHz to 171.85 kHz are more suitable for the detection of mass fractions than those of the original AE signal. The error of the graphite mass fraction calculated by the feature wavelet packet (1.9%) is lower than that of the original signal (4.75%). Therefore, the AE detection base on wavelet packet analysis is an ideal NDT method for evaluate mass fractions of composite.

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Despite the fact that fiber reinforced plastic composites have excellent mechanical properties, various failure mechanisms can be occurred in these materials. Delamination is the most common failure mode in laminated composites that can be occurred under quasi-static and fatigue loading conditions. The present study is concerned with the investigation of mechanical and Acoustic Emission (AE) behavior of delamination in glass/epoxy composites under mode I quasi-static and fatigue loading conditions. First, the unidirectional and woven specimens were subjected to mode I quasi-static loading. The behavior of the delamination in the specimens was investigated and interlaminar fracture toughness of the specimens was calculated. Then, according to the information that obtained from quasi-static loading, the similar specimens were subjected to the fatigue loading. The mechanical and AE behavior of the delamination under fatigue loading was investigated. A linear relationship was established between cumulative AE energy and fatigue crack growth and fatigue crack growth curve was predicted using the AE method. Then, energy release rate variations curve and fatigue crack growth rate diagram were predicted using AE method. The predicted results by AE have a good compatibility with the visually based data that recommended by standard. The results indicate that, the AE method has good applicability for health monitoring of composite structures that subjected to quasi-static and fatigue loading conditions.

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In this study the delamination behavior of FMLs loaded under mode I and II conditions is investigated by using numerical modeling and acoustic emission (AE) data analysis. Test samples is made of prepreg (glass/epoxy composite) and aluminum 2024-T3 (chromic acid anodized). Detection of delamination initiation moment is required for calculation of interlaminar fracture toughness in mode I and II which this moment is detected by using AE technic. Initiation and propagation of delamination is modeled by Abaqus software by using cohesive element. Load-displacement curve, progressive debonding and delamination face are the results taken from FEM and are compared with test results. Signal frequency processing is done for identifying delamination propagation and classification of fracture mechanism. Delamination mechanism is validated by Scanning electron microscope (SEM) images.

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In this paper, acoustic emission monitoring of repaired aluminum 2024-T3 sheet with FML patch is studied. For the experimental investigation, 12 samples were made and classified into 4 categories according to the crack angle (zero and 45 degrees), and repaired or unrepaired state. To reduce manufacturing errors, composite prepreg is used for producing patches, aluminum surfaces is anodized and curing is done in an autoclave. In fatigue crack initiation process by using Acoustic Emission data acquisition, crack initiation moment is detected. By using Acoustic Emission signal cumulative energy parameter onset of delamination, growth of delamination and critical delamination growth is identified. SEM image and investigation of failure surface are used for detecting of failure mechanism. By introducing one frequency analysis method tried to classify frequency range of failure mechanism signals. Because of frequency range intersection of matrix cracking, fiber/matrix separation and delamination of patch from aluminum sheet, force-displacement curve is divided to 3 zone and frequency analysis is done in each zone that occurrence possibility of certain failure mechanism is higher than the others. Signal frequency range of aluminum plasticity and crack growth is in the range of 440-480 kHz, and signal frequency range of delamination is in the range of 100-150 kHz and 200-220 kHz.

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The laminated composites have many advantages such as high specific strength and specific stiffness. Despite of these advantages, they are prone to different damage mechanisms. This paper focuses on quantification of damage mechanisms in standard Open-Hole Tensile (OHT) laminated composites using Acoustic Emission (AE) and Finite Element Method (FEM). These damages include three main mechanisms, matrix cracking, fiber/ matrix debonding and fiber breakage. To this aim, OHT tests were carried out. The specimens fabricated from two types of glass/epoxy composite materials with [0]5S lay-up and [90]5S lay-up. AE accompanied with wavelet-based approach was then used to detect and quantify damage mechanisms of the specimens. FE analysis based on Hashin criteria was then utilized to simulate the damage mechanisms in the specimens and to validate the AE-wavelet based results. The comparison of applied methods show that the results of the AE-wavelet based approach are in very good agreement with the FEM results. Finally, it was concluded that the AE method has a good applicability to determine the damage mechanisms in laminated composite structures and to predict the remaining life-time of the structure.

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Poor lubrication is known as an important factor in the bearings failure. Therefore, it is very important to detect the lubrication condition. Hydrodynamic lubrication, mixed lubrication and boundary lubrication are the basic regimes of the fluid film lubrication. In a proper condition, development of hydrodynamic pressure is adequate to support the load and the bearings operate under hydrodynamic lubrication condition. However, in most situations, they operate in mixed lubrication or boundary lubrication regime and have metal-to-metal contact. To establish these regimes, using the so-called Stribeck curve is a useful method. In this curve, the oil film thickness is proportional to the lubricant viscosity and sliding velocity and inversely proportional to the applied load. However, distinguish of the exact range of hydrodynamic lubrication regime from mixed and boundary regime using this curve and relation related to the sliding bearings, due to high number of affecting design factors and operating parameters is difficult. The present study focused on the acoustic emission measuring method in order to monitoring the lubrication conditions in a type of journal bearings. Thus, condition monitoring of the journal bearing lubrication is provided and the numerical value of operating variables of the bearing for lubrication regime change from hydrodynamic to mixed is achieved. Using wavelet method, frequency features for each regime is identified. Then, for each lubrication regime, metal-to-metal contact detection is performed.

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Catastrophic failures due to corrosion are among the most common phenomena in pre-stressed concrete pipeline, which has been reported in Iran, as well. Structural health monitoring, quick assessment and timely detection of corrosion in its early stages with active in-situ sensors is could prove vital in avoiding such hazards. Acoustic emission is a non-destructive technique that can be used to give a better insight on the structural state of such concrete structures. However, the interpretation of the AE measurements is quite challenging and may actually be even more difficult when the concrete is cracked, which would affect the material and structural properties of concrete pipes. The amplitude distribution of the acquired signals is very sensitive to micro-cracking. This paper presents the results of an experiment conducted in the laboratory of Middle East Technical University on pre-stressed concrete pipe for determining the amplitude attenuation and path of acoustic wave propagation and frequency spectrum before and after corrosion using Hsu-Nielsen pencil-lead break source and applying accelerated corrosion. The results from the laboratory tests indicate that since the changing in amplitude and wave propagation path is negligible before and after corrosion, the AE measurements can be used as an accurate method for tackling the problem mentioned above. Then the performed AE measurements are reported and results discussed.

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One of the main issues associated with application of laminated composites in industrial applications is their brittle-type behavior under impact loading. The low velocity impact may lead to crucial internal damages without being detectable by visual inspection and can significantly reduce the strength of laminated composites. The main purpose of this research is to characterize the damage mechanisms in laminated composites under low velocity impact tests. For this purpose, a quasi-static test was first utilized out to achieve initial information about impact tests. Low velocity impact tests were then employed for unidirectional glass/epoxy composite specimens, and Acoustic Emission (AE) signals were acquired during impact events. Next, AE signals were examined using wavelet approach to discriminate released energy related to each distinct damage mechanism. Besides, a method was obtained to estimate threshold impact energy from the quasi-static test, beyond which damage meaningfully extends. As a final point, the AE based approach using wavelet transform methodology was suggested to forecast the total damage area. Finally, it was figured out that this AE method can be a reliable approach in damage evaluation under impact loads in composite structures.

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Structures during their lifetime experience plenty of static and dynamic loads. These loads cause failure or undermine the structures. So, reinforcement or repairing failed parts is one way to repair out of service structures. Composite materials have been used to reinforce structures. These materials enjoy advantages such as the proportion of their strength to their weight. As these structures get exposed to some load a number of failures get introduced. This research investigates the failure mechanisms of a notched 2024-T3 aluminum plate repaired with a composite patch using visual and acoustic emission methods. After constructing the specimens, tensile test has been conducted, and acoustic emission sensors have been stocked on the surface of the plate, so that they can record acoustic data. At the first stage, mechanical data obtained from the specimens in different states based on the number of layering have been analyzed. At the second stage, acoustic data, obtained from recording of acoustic emission signals, have been compared with the mechanical data. Also the images obtained from SEM were used to investigation of damages. According to this research, it is identified that a reasonable correspondence between the results obtained from mechanical and acoustic data and the desired functionality of the acoustic emission method in determining failure mechanism in those specimens that are repaired with composite patches.