The Study on Buckling Deformation of Composite Pressure Vessel Based on Acoustic Emission Signals

2009 ◽  
Vol 87-88 ◽  
pp. 445-450
Author(s):  
Zhao Hui Hu ◽  
Hong Jun Liu ◽  
Rong Guo Wang ◽  
Xiao Dong He ◽  
Li Ma
Keyword(s):  
Acoustic Emission ◽  
Pressure Vessel ◽  
Composite Layer ◽  
High Amplitude ◽  
Experimental Results ◽  
Compression Stress ◽  
Composite Pressure Vessel ◽  
Deformation Compatibility ◽  
Ae Signals

The buckling deformation of the liner within composite pressure vessel is investigated using acoustic emission (AE) signals. The liner will fail with buckling deformation which is casued by compression stress induced by deformation compatibility beween composite layer and the liner. The experimental results show that these high-amplitude signals higher than 80dB are responsible for the buckling deformation of the liner within composite pressure vessel during unloading process.

Attenuation of Acoustic Emission Signals in Structural Interfaces

2012 ◽  
Vol 569 ◽  
pp. 343-346
Author(s):  
Xiang Hong Wang ◽  
Hong Wei Hu ◽  
Zhi Yong Zhang
Keyword(s):  
Acoustic Emission ◽  
Real World ◽  
Simple Structure ◽  
Size Structure ◽  
Experimental Results ◽  
Signal Energy ◽  
Real World Applications ◽  
Structural Interfaces ◽  
Ae Signals

Received acoustic emission (AE) signals are transmitted across structural interfaces in many real-world applications. This paper studies attenuation of the signals across two common structural interfaces. The experimental results indicate that interface has effects on attenuation, which depends on the relative scales of structures. Signal energy is strengthened due to multiple flections of signals on the small-size structure when an interface is constructed by different scales. Thus the received signals are distorted worse than the original signals. So it is a better way to mount sensors on a simple structure with a size as much as a structure incurred AE sources.

Combined Evaluation Composite Pressure Vessel With Thin-Wall Metal Liner by Acoustic Emission and Strain Gauges

2013 ◽  
Author(s):  
Junqing Zhao ◽  
Xiaodong He
Keyword(s):  
Acoustic Emission ◽  
Outer Surface ◽  
Pressure Vessel ◽  
Water Pressure ◽  
Great Influence ◽  
Local Buckling ◽  
Strain Gauges ◽  
Hydraulic Pressure ◽  
Thin Wall ◽  
Composite Pressure Vessel

Filament wound composite pressure vessel with thin-wall alloy liner might exist local buckling during manufacture and in service, this phenomenon have great influence on the security and service lifetime of pressure vessel. AE (acoustic emission) technique is employed to monitor the damage progression of the vessel during hydraulic pressure experiment. Two sensors of acoustic emission (AE) were attached to front dome and cylinder to monitoring the behavior of the vessel bearing maximum 4.5MPa water pressure during loading, keeping load and unloading. Meanwhile ten strain gauges were bonded to front dome, equator and cylinder of the outer surface by meridian and hoop direction respectively in order to monitor the vessel deformation characters. Analysis show that strain gauges is suitable for evaluate deformation character of the outer surface of the vessel. Analysis indicated AE is more suitable to monitoring the damage propagation of the vessel. AE analysis explained the local buckling of inner thin-wall liner.

Acoustic Emission Test of Pressure Vessel Leakage

2013 ◽  
Author(s):  
Zhongzheng Zhang ◽  
Hua Liang ◽  
Cheng Ye ◽  
Wensheng Cai ◽  
Jun Jiang
Keyword(s):  
Acoustic Emission ◽  
Pressure Vessel ◽  
Safety Valve ◽  
Waveform Analysis ◽  
Statistical Parameters ◽  
Valve Leakage ◽  
Parameter Configuration ◽  
Acoustic Emission Test ◽  
Leakage Failure ◽  
Ae Signals

In order to study acoustic emission (AE) signals characteristics of pressure vessel leakage, several cases of common in-service pressure vessel with leakage failure such as seal leakage, pitting corrosion perforation and safety valve leakage were tested by AE technology. Through statistical parameters of AE signals and waveform analysis on leakage process, the distribution characteristics of the AE hits, amplitude and frequency etc. were summarized on the different forms of leakage failure. The study will provide a reference for the device parameter configuration, sensor selection and estimation of the failure mode on in-service pressure vessel leakage.

scholarly journals The Measurement of Acoustic Emission Signals from Stem of Maize Under Controlled Environment

2016 ◽  
Vol 64 (2) ◽  
pp. 535-541
Author(s):  
Piyapong Sriwongras ◽  
Petr Dostál ◽  
Václav Trojan
Keyword(s):  
Acoustic Emission ◽  
Environmental Parameters ◽  
Environmental Parameter ◽  
Experimental Results ◽  
Controlled Environment ◽  
Xylem Cavitation ◽  
Multi Linear Regression ◽  
Parameter Values ◽  
Ae Signals

The present paper focuses on the acoustic emission (AE) measurement method for monitoring of plant transpiration system. AE signals from stem of investigated maize being under well watered condition throughout experiment is investigated with acoustic emission parameters evaluating unit of XEDO-AE system and environmental parameter sensor of XEDO-IO system (Dakel company, Czech Republic) for estimation of xylem cavitation and embolism occurring on stem of plant. After conducting experiment for 4 days, the experimental results indicated that great amounts of AE signals occurred during the daytime, whereas small amounts of AE signals occurred during the night and the variation of all environmental parameter values were associated with the change of AE values interestingly. To clarify the correlation between AE parameter and environmental parameters statistically, multi linear regression was used to describe this correlation. The statistical model showed that the environmental parameters affecting to the variation of an AE parameter value from strongest one to weakest one were air temperature, relative humidity, atmospheric pressure and light intensity at R2 = 68.7% and adjusted R2 = 68.4%. According to these experimental results, using AE method to monitor the investigated plant capable of illustrating the characterization of AE signals generated by plant being under well watered condition. Therefore, from this experiment, AE method could be used to be a tool for detecting whether plant is in well watered condition.

Wavelet analysis of acoustic emission signals in boring

2000 ◽  
Vol 214 (5) ◽  
pp. 421-424 ◽  
Author(s):  
X Li ◽  
J Wu
Keyword(s):  
Acoustic Emission ◽  
Wavelet Analysis ◽  
Tool Wear ◽  
Metal Cutting ◽  
Wavelet Packet ◽  
Wavelet Packet Transform ◽  
Experimental Results ◽  
Cutting Processes ◽  
Ae Signals

Using acoustic emission (AE) signals to monitor tool wear states is one of the most effective methods used in metal cutting processes. As AE signals contain information on cutting processes, the problem of how to extract the features related to tool wear states from these signals needs to be solved. In this paper, a wavelet packet transform (WPT) method is used to decompose continuous AE signals during cutting; then the features related to tool wear states are extracted from decomposed AE signals. Experimental results verified the feasibility of using the WPT method to extract features related to tool wear states in boring.

A Novel Method for Grinding Wheel Setting Based on Acoustic Emissions

2016 ◽  
Vol 874 ◽  
pp. 79-84 ◽  
Author(s):  
Xiang Long Zhu ◽  
Zhen Hua Jiao ◽  
Ren Ke Kang ◽  
Zi Guang Wang ◽  
Hui Xu
Keyword(s):  
Acoustic Emission ◽  
Negative Impact ◽  
Acoustic Emissions ◽  
Experimental Results ◽  
Grinding Wheel ◽  
Detection Accuracy ◽  
Grinding Process ◽  
Novel Method ◽  
Ae Signals ◽  
Better Than

Wheel setting is difficult in a grinding process and may directly apply a negative impact on grinding accuracy and efficiency. This study presents a novel method for grinding wheel setting based on acoustic emissions. The method experimentally detects the acoustic emission (AE) signals that come from the touch-down of the grinding wheel with the workpiece. The experimental results show that the measured AE signals monotonically increase with grinding depth and can be used for detection of wheel setting in a grinding process with a detection accuracy better than 0.5μm.

Acoustic Emission Characteristics of Single-Edge-Notched Glass Fiber/Aluminum Hybrid Laminates

2006 ◽  
Vol 306-308 ◽  
pp. 19-24 ◽  
Author(s):  
Sung Choong Woo ◽  
Dae Joon Kim ◽  
Nak Sam Choi
Keyword(s):  
Acoustic Emission ◽  
Glass Fiber ◽  
Damage Zone ◽  
Broad Band ◽  
High Amplitude ◽  
Type I ◽  
Single Edge ◽  
Fiber Layer ◽  
Hybrid Laminates ◽  
Ae Signals

Acoustic emission (AE) characteristics have been studied for single-edge-notched monolithic thin aluminum (Al) plates and glass fiber/Al hybrid laminates. Traveling microscope was used for observing the plastic deformation and damage zone around the initial notch tip. Frequency characteristics of AE signals processed by fast Fourier transform (FFT) from monolithic Al could be classified into two different types. Type I signal had a relatively low frequency band of 96~260kHz, while Type II signal had broad band frequencies of 192~408kHz. In case of glass fiber/Al hybrid laminates, AE signals with high amplitude (>80dB) and long duration (>2msec) were additionally confirmed on FFT frequency analysis, which corresponded to macro-crack propagation and/or delamination between aluminum layer and glass fiber layer. Also, distributions of the first and the second peaks in frequency spectrum were related with local fracture behaviors of the hybrid laminates. AE source location determined by signal arrival time showed the extent of fracture zones. On the basis of the above AE analysis, characteristic features of fracture processes of single-edge-notched glass fiber/aluminum laminates were elucidated according to different fiber orientations.

scholarly journals Integrated Design of D.D.I., Filament Winding and Curing Processes for Manufacturing the High Pressure Vessel (Type II)

2019 ◽  
Vol 32 (1) ◽  
Author(s):  
Hyoseo Kwak ◽  
Gunyoung Park ◽  
Hansaem Seong ◽  
Chul Kim
Keyword(s):  
High Pressure ◽  
Pressure Vessel ◽  
Composite Layer ◽  
Integrated Design ◽  
Filament Winding ◽  
Type Ii ◽  
Curing Process ◽  
Composite Pressure Vessel ◽  
Metal Liner ◽  
Filament Winding Process

Abstract As energy crisis and environment pollution all around the world threaten the widespread use of fossil fuels, compressed natural gas (CNG) vehicles are explored as an alternative to the conventional gasoline powered vehicles. Because of the limited space available for the car, the composite pressure vessel (Type II) has been applied to the CNG vehicles to reach large capacity and weight lightening vehicles. High pressure vessel (Type II) is composed of a composite layer and a metal liner. The metal liner is formed by the deep drawing and ironing (D.D.I.) process, which is a complex process of deep drawing and ironing. The cylinder part is reinforced by composite layer wrapped through the filament winding process and is bonded to the liner by the curing process. In this study, an integrated design method was presented by establishing the techniques for FE analysis of entire processes (D.D.I., filament winding and curing processes) to manufacture the CNG composite pressure vessel (Type II). Dimensions of the dies and the punches of the 1st (cup drawing), 2nd (redrawing-ironing 1-ironing 2) and 3rd (redrawing-ironing) stages were calculated theoretically, and shape of tractrix die to be satisfied with the minimum forming load was suggested for life improvement and manufacturing costs in the D.D.I. process. Thickness of the composite material was determined in the filament winding process, finally, conditions of the curing process (number of heating stage, curing temperature, heating rate and time) were proposed to reinforce adhesive strength between the composite layers.

scholarly journals Analysis of Acoustic Emission (AE) Signals for Quality Monitoring of Laser Lap Microwelding

2021 ◽  
Vol 11 (15) ◽  
pp. 7045
Author(s):  
Ming-Chyuan Lu ◽  
Shean-Juinn Chiou ◽  
Bo-Si Kuo ◽  
Ming-Zong Chen
Keyword(s):  
Stainless Steel ◽  
Acoustic Emission ◽  
Frequency Domain ◽  
Monitoring System ◽  
Welding Quality ◽  
Steel Sheets ◽  
Signal Features ◽  
Ae Signal ◽  
Laser Microwelding ◽  
Ae Signals

In this study, the correlation between welding quality and features of acoustic emission (AE) signals collected during laser microwelding of stainless-steel sheets was analyzed. The performance of selected AE features for detecting low joint bonding strength was tested using a developed monitoring system. To obtain the AE signal for analysis and develop the monitoring system, lap welding experiments were conducted on a laser microwelding platform with an attached AE sensor. A gap between the two layers of stainless-steel sheets was simulated using clamp force, a pressing bar, and a thin piece of paper. After the collection of raw signals from the AE sensor, the correlations of welding quality with the time and frequency domain features of the AE signals were analyzed by segmenting the signals into ten 1 ms intervals. After selection of appropriate AE signal features based on a scatter index, a hidden Markov model (HMM) classifier was employed to evaluate the performance of the selected features. Three AE signal features, namely the root mean square (RMS) of the AE signal, gradient of the first 1 ms of AE signals, and 300 kHz frequency feature, were closely related to the quality variation caused by the gap between the two layers of stainless-steel sheets. Classification accuracy of 100% was obtained using the HMM classifier with the gradient of the signal from the first 1 ms interval and with the combination of the 300 kHz frequency domain signal and the RMS of the signal from the first 1 ms interval.

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