Tesi sul tema "Ultrasonic non-Destructive evaluation (UNDE)"
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Kaynak, Mehmet. "Non-destructive Testing Of Columns Under Axial Compression Using Tranverse Vibration Technique, And Ultrasonic Approaches". Master's thesis, METU, 2004. http://etd.lib.metu.edu.tr/upload/1260465/index.pdf.
Testo completos ratio, modulus of elasticity of the medium, and the state of stress. The orientation of the loading direction to the wave propogation direction, the couplant (ultrasonic transmission gel) uniformity, variability in the pressure applied to hold the transducers, alignment of the transmitting and recieving transducers, accuracy and modelling of Poisson&rsquo
s ratio make the ultrasonic testing more complicated.
Aoujdad, Khalid. "Caractérisatiοns ultrasοnοres du vieillissement de pales d’hydroliennes et d’éoliennes en milieu marin. : Cοnfrοntatiοn aux essais mécaniques". Electronic Thesis or Diss., Normandie, 2024. http://www.theses.fr/2024NORMLH24.
Testo completoThis thesis discusses the ultrasonic non-destructive characterization of representative samples of offshore wind turbine blades. The samples are made of composite materials based on Unidirectional Glass Fibers Reinforced Polyester (UD GFRP). Samples are subjected to accelerated aging in heated seawater at 40°C and 60°C, in order to simulate the marine environment and reduce study times. The aim is to find acoustic parameters sensitive to aging, enabling the effect of aging to be assessed or quantified. Lamb's guided wave analysis showed a decrease in mode phase velocities and Rayleigh velocity, as well as an increase in attenuation in the material, indicating that the mechanical properties of the material are degrading due to aging. C-scan imaging shows degradation of the resin, leading to reorganization of the fibers and changes in their alignment. Finite element numerical modelling of guided wave propagation in these materials has shown that the structural and geometric properties of the materials degrade with age. The parameters most affected are the elasticity constants, as well as the density for stronger and longer aging. Finally, the number of reinforcement plies in a sample plays an important role in its resistance to aging
Lardner, Timothy. "New algorithms for ultrasonic non-destructive evaluation". Thesis, University of Strathclyde, 2016. http://oleg.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=26912.
Testo completoCrutzen, Hugues P. S. "Non destructive evaluation of thermal barrier coatings". Thesis, Cranfield University, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.323825.
Testo completoCrosbie, Ross Andrew. "Quantitative non-destructive evaluation using laser generated ultrasonic pulses". Thesis, University of Hull, 1987. http://hydra.hull.ac.uk/resources/hull:5393.
Testo completoJaafar, Rosly. "Ultrasonic non-destructive evaluation of natural rubber latex suspensions". Thesis, Keele University, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.318988.
Testo completoVan, Nevel Alan J. "Wavelet based noise removal for ultrasonic non-destructive evaluation /". free to MU campus, to others for purchase, 1996. http://wwwlib.umi.com/cr/mo/fullcit?p9737876.
Testo completoNowers, Oliver David. "Ultrasonic non-destructive evaluation of the austenitic steel welds". Thesis, University of Bristol, 2016. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.742983.
Testo completoHajzargarbashi, Talieh. "Ultrasonic Non-Destructive Evaluation: Impact Point Prediction and Simulation of Ultrasonic Fields". Diss., The University of Arizona, 2011. http://hdl.handle.net/10150/203430.
Testo completoCooper, J. A. "Laser-generated ultrasound with applications to non-destructive evaluation". Thesis, University of Hull, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.375636.
Testo completoKarimian, Seyed Fouad. "Evaluation of Adhesive Joints with Ultrasonic Digital Image Correlation". OpenSIUC, 2016. https://opensiuc.lib.siu.edu/theses/2054.
Testo completoCampbell, M. A. "An evaluation of monolithic phased arrays for Non destructive testing". Thesis, University of Strathclyde, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.381502.
Testo completoLau, Connie K. Y. "Non-destructive evaluation with ultrasonic pulse velocity (UPV) in concrete structure". access abstract and table of contents access full-text, 2005. http://libweb.cityu.edu.hk/cgi-bin/ezdb/dissert.pl?msc-ap-b21174441a.pdf.
Testo completoAt head of title: City University of Hong Kong, Department of Physics and Materials Science, Master of Science in materials engineering & nanotechnology dissertation. Title from title screen (viewed on Sept. 1, 2006) Includes bibliographical references.
Mong, Seng Ming. "Non-destructive evaluation with ultrasonic pulse velocity (UPV) in concrete structure". access abstract and table of contents access full-text, 2005. http://libweb.cityu.edu.hk/cgi-bin/ezdb/dissert.pl?msc-ap-b21175032a.pdf.
Testo completoAt head of title: City University of Hong Kong, Department of Physics and Materials Science, Master of Science in materials engineering & nanotechnology dissertation. Title from title screen (viewed on Sept. 4, 2006) Includes bibliographical references.
Cunningham, Laura Jay. "Mathematical model based methods for characterising defects within ultrasonic non destructive evaluation". Thesis, University of Strathclyde, 2015. http://oleg.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=24898.
Testo completoLi, Shanglei. "Intelligent Non-destructive Measurement and Evaluation Techniques for Aircraft Composites". OpenSIUC, 2013. https://opensiuc.lib.siu.edu/dissertations/764.
Testo completoStonawski, Ondrej. "NON-DESTRUCTIVE EVALUATION OF CARBON/CARBON BRAKES USING AIR-COUPLED ULTRASONIC INSPECTION SYSTEMS". Available to subscribers only, 2008. http://proquest.umi.com/pqdweb?did=1674101471&sid=2&Fmt=2&clientId=1509&RQT=309&VName=PQD.
Testo completo"Department of Mechanical Engineering and Energy Processes." Keywords: Air-coupled ultrasonic, Carbon/carbon brakes, Nondestructive evaluation. Includes bibliographical references (p. 114-115). Also available online.
Freemantle, Richard James. "Ultrasonic compression wave evaluation of adhered metal sheets and thin sheet materials". Thesis, Keele University, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.282635.
Testo completoTodd, Charles Peter Debenham. "Non-destructive evaluation of adhesively bonded structures using ultrasonic Lamb waves and artificial neural networks". Thesis, Keele University, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.361828.
Testo completoBork, Uwe. "Non-destructive evaluation of adhered metal joints using ultrasonic Lamb waves and artificial neural networks". Thesis, Keele University, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.241451.
Testo completoThornicroft, Keith. "Ultrasonic guided wave testing of pipelines using a broadband excitation". Thesis, Brunel University, 2015. http://bura.brunel.ac.uk/handle/2438/14001.
Testo completoLevine, Ross M. "Ultrasonic guided wave imaging via sparse reconstruction". Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/51829.
Testo completoBrath, Alexander J. "Advanced techniques for ultrasonic imaging in the presence of material and geometrical complexity". University of Cincinnati / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1510053440115292.
Testo completoZlatev, Zahari. "Ultrasonic guided wave propagation in pipes coated with viscoelastic materials". Thesis, Brunel University, 2014. http://bura.brunel.ac.uk/handle/2438/12753.
Testo completoPan, Yicheng. "INTELLIGENT NON-DESTRUCTIVE EVALUATION EXPERT SYSTEM FOR CARBON-CARBON COMPOSITES USING THERMOGRAPHY, ULTRASONICS, AND COMPUTED TOMOGRAPHY". OpenSIUC, 2010. https://opensiuc.lib.siu.edu/dissertations/151.
Testo completoOsman, Ahmad. "Automated evaluation of three dimensional ultrasonic datasets". Phd thesis, INSA de Lyon, 2013. http://tel.archives-ouvertes.fr/tel-00995119.
Testo completoGex, Dominique. "Ultrasonic NDE testing of a gradient enhanced piezoelectric actuator (GEPAC) undergoing low frequency bending excitation". Thesis, Available online, Georgia Institute of Technology, 2004:, 2004. http://etd.gatech.edu/theses/available/etd-04062004-171807/unrestricted/gex%5Fdominique%5Fc%5F200405%5Fmast.pdf.
Testo completoBerthelot, Committee Chair; Lynch, Committee Member; Jacobs, Committee Member. Includes bibliographical references (leaves 111-113).
Poudel, Anish. "AN INTELLIGENT SYSTEMS APPROACH FOR DETECTING DEFECTS IN AIRCRAFT COMPOSITES BY USING AIR-COUPLED ULTRASONIC TESTING". OpenSIUC, 2011. https://opensiuc.lib.siu.edu/theses/594.
Testo completoMAHMOUD, TAREK IBRAHIM. "Evaluation of the degradation process of cement-based materials exposed to aggressive environment by using ultrasonic techniques and physical characterisation". Doctoral thesis, Universitat Politècnica de València, 2013. http://hdl.handle.net/10251/27550.
Testo completoMahmoud, TI. (2013). Evaluation of the degradation process of cement-based materials exposed to aggressive environment by using ultrasonic techniques and physical characterisation [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/27550
TESIS
Deng, Xiaodong. "Nondestructive evaluation of thermal sprayed coating by acoustic microscopy and Eddy current testing". Thesis, Lyon, INSA, 2014. http://www.theses.fr/2014ISAL0030/document.
Testo completoIn the current work, we investigate the nondestructive evaluation of a thermal sprayed coating (Hastelloy C22 Ni-based alloy) on substrate (type 304 austenitic stainless steel) using acoustic microscopy and ECT method. Two models were built for the evaluation of this kind of material: one is for acoustic V(z) measurement and the other is for swept eddy current measurement. The implementation of these two models is used for the evaluation and properties measurement of the thermal sprayed coatings, such as elastic properties, electromagnetic properties. In particular, the main achievements and results are as follows: 1. Acoustic wave propagation in an anisotropic multilayered medium was investigated. The formula for calculating the reflection and transmission coefficients of the multilayered medium on or without a substrate were derived, which is necessary for the modeling of acoustic V(z) measurement of the thermal sprayed coating on substrate. 2. A model was built for the acoustic V(z) measurement of the thermal sprayed coatings on substrate, which can deal with anisotropic multilayered media. Specifically, we used a model of multilayered coatings with graded properties on substrate to calculate the acoustic reflection coefficient of our sample. Treating the thermal sprayed coating, deposited on a 304 steel substrate, as FGMs, we evaluated the coating thickness and the Young’s modulus evolution along the depth of the coating. 3. A model was built for the swept eddy current measurement of the thermal sprayed coatings. Since before the spraying process, the surface of the substrate is usually shot-peened (SP), the coated material is considered as a three-layer medium. The coating thickness and electromagnetic properties of each of the 3 layers were determined by an effective reverse process. 4. The thermal sprayed coated material after exposure in different conditions, i.e., as-received, heat-treated in air and heat-treated in SO2 environment, and after different exposure time was evaluated by the integrity of acoustic microscopy and ECT method. The coating thickness and the electromagnetic properties of the coated material under different conditions were measured
Chu, Wen-Pin, e 朱文賓. "Ultrasonic Non-Destructive Evaluation Technique and its Applications". Thesis, 2003. http://ndltd.ncl.edu.tw/handle/57532279986232981325.
Testo completo元智大學
機械工程學系
91
Ultrasonics has been one of the most popular non-destructive evaluation techniques in resent gears. In this investigation, the ultrasonic C-Scan system is developed. Using the LabVIEW software, the data acquisition and signal process can be easily incorporated and integrated to form an automatically scanning system. There are three main functions included in the C-Scan system: (1) measuring the thickness of a thick specimen and showing the overall profile via the 3-D imaging display; (2) measuring the thickness of a thin film; (3) cross-section inspection examining the cracks, voids or imparities inside a specimen. In order to measure the thickness of a thin film the signals in time domain, which are overlap and unable to obtain the time difference between two echos, are transferred to the frequency domain by Fourier Fast Transform. The reciprocal of the frequency difference between two adjacent local minimum or maximum in frequency domain is equal to the time difference between the reflective waves of top and bottom surfaces. Incorporating the FFT into the C-Scan system to measure the thin film thickness is the most distinctive comparing to the conventional C-Scan. The capability of present C-Scan system is able to measure thickness of 0.5mm for expory and 1mm for aluminum.
Bottillo, Alberto. "Advanced 3D Ultrasonic Non-destructive Evaluation Technique for CFRP aeronautical applications". Tesi di dottorato, 2017. http://www.fedoa.unina.it/12194/1/Bottillo_Alberto_30.pdf.
Testo completoWronkowicz, Angelika. "Non-destructive evaluation of composite aircraft elements based on ultrasonic testing and image analysis". Rozprawa doktorska, 2018. https://repolis.bg.polsl.pl/dlibra/docmetadata?showContent=true&id=48534.
Testo completoWronkowicz, Angelika. "Non-destructive evaluation of composite aircraft elements based on ultrasonic testing and image analysis". Rozprawa doktorska, 2018. https://delibra.bg.polsl.pl/dlibra/docmetadata?showContent=true&id=48534.
Testo completo(5929469), Hani A. Almansouri. "Model-Based Iterative Reconstruction and Direct Deep Learning for One-Sided Ultrasonic Non-Destructive Evaluation". Thesis, 2019.
Cerca il testo completoOne-sided ultrasonic non-destructive evaluation (UNDE) is extensively used to characterize structures that need to be inspected and maintained from defects and flaws that could affect the performance of power plants, such as nuclear power plants. Most UNDE systems send acoustic pulses into the structure of interest, measure the received waveform and use an algorithm to reconstruct the quantity of interest. The most widely used algorithm in UNDE systems is the synthetic aperture focusing technique (SAFT) because it produces acceptable results in real time. A few regularized inversion techniques with linear models have been proposed which can improve on SAFT, but they tend to make simplifying assumptions that show artifacts and do not address how to obtain reconstructions from large real data sets. In this thesis, we present two studies. The first study covers the model-based iterative reconstruction (MBIR) technique which is used to resolve some of the issues in SAFT and the current linear regularized inversion techniques, and the second study covers the direct deep learning (DDL) technique which is used to further resolve issues related to non-linear interactions between the ultrasound signal and the specimen.
In the first study, we propose a model-based iterative reconstruction (MBIR) algorithm designed for scanning UNDE systems. MBIR reconstructs the image by optimizing a cost function that contains two terms: the forward model that models the measurements and the prior model that models the object. To further reduce some of the artifacts in the results, we enhance the forward model of MBIR to account for the direct arrival artifacts and the isotropic artifacts. The direct arrival signals are the signals received directly from the transmitter without being reflected. These signals contain no useful information about the specimen and produce high amplitude artifacts in regions close to the transducers. We resolve this issue by modeling these direct arrival signals in the forward model to reduce their artifacts while maintaining information from reflections of other objects. Next, the isotropic artifacts appear when the transmitted signal is assumed to propagate in all directions equally. Therefore, we modify our forward model to resolve this issue by modeling the anisotropic propagation. Next, because of the significant attenuation of the transmitted signal as it propagates through deeper regions, the reconstruction of deeper regions tends to be much dimmer than closer regions. Therefore, we combine the forward model with a spatially variant prior model to account for the attenuation by reducing the regularization as the pixel gets deeper. Next, for scanning large structures, multiple scans are required to cover the whole field of view. Typically, these scans are performed in raster order which makes adjacent scans share some useful correlations. Reconstructing each scan individually and performing a conventional stitching method is not an efficient way because this could produce stitching artifacts and ignore extra information from adjacent scans. We present an algorithm to jointly reconstruct measurements from large data sets that reduces the stitching artifacts and exploits useful information from adjacent scans. Next, using simulated and extensive experimental data, we show MBIR results and demonstrate how we can improve over SAFT as well as existing regularized inversion techniques. However, even with this improvement, MBIR still results in some artifacts caused by the inherent non-linearity of the interaction between the ultrasound signal and the specimen.
In the second study, we propose DDL, a non-iterative model-based reconstruction method for inverting measurements that are based on non-linear forward models for ultrasound imaging. Our approach involves obtaining an approximate estimate of the reconstruction using a simple linear back-projection and training a deep neural network to refine this to the actual reconstruction. While the technique we are proposing can show significant enhancement compared to the current techniques with simulated data, one issue appears with the performance of this technique when applied to experimental data. The issue is a modeling mismatch between the simulated training data and the real data. We propose an effective solution that can reduce the effect of this modeling mismatch by adding noise to the simulation input of the training set before simulation. This solution trains the neural network on the general features of the system rather than specific features of the simulator and can act as a regularization to the neural network. Another issue appears similar to the issue in MBIR caused by the attenuation of deeper reflections. Therefore, we propose a spatially variant amplification technique applied to the back-projection to amplify deeper regions. Next, to reconstruct from a large field of view that requires multiple scans, we propose a joint deep neural network technique to jointly reconstruct an image from these multiple scans. Finally, we apply DDL to simulated and experimental ultrasound data to demonstrate significant improvements in image quality compared to the delay-and-sum approach and the linear model-based reconstruction approach.