Non-destructive testing of a high dense small dimension through silicon via (TSV) array structures by using 3D X-ray computed tomography method (CT scan)

2010 ◽  
Author(s):  
V. N. Sekhar ◽  
Sam Neo ◽  
Li Hong Yu ◽  
Alastair David Trigg ◽  
Cheng Cheng Kuo
Keyword(s):  
Computed Tomography ◽  
Ct Scan ◽  
Small Dimension ◽  
Non Destructive Testing ◽  
Destructive Testing ◽  
X Ray ◽  
Array Structures ◽  
X Ray Computed ◽  
Tomography Method ◽  
Non Destructive

Simulation of Translational Data Acquisition Scheme of X-Ray Computed Tomography for Application in NDT

2018 ◽  
Vol 769 ◽  
pp. 256-261
Author(s):  
Bright Kwame Afornu ◽  
Odii Christopher Joseph ◽  
Ali Ozdiev ◽  
Dmitriy A. Sednev
Keyword(s):  
Computed Tomography ◽  
Data Acquisition ◽  
Conventional Technique ◽  
Non Destructive Testing ◽  
Destructive Testing ◽  
X Ray ◽  
Acquisition Scheme ◽  
X Ray Computed ◽  
Non Destructive ◽  
Inspected Object

The invention of computed tomography some few decades ago, coupled with its applications in the field of non-destructive testing for industrial objects inspection has revolutionized the way inspections were formerly done. Despite the conventional data acquisition scheme which is integrated with a rotational stage in between the source and the detector works perfectly for small and lighter objects, hence, it seems impossible to investigate complicated, bulky objects with interconnected unbalanced composites. Moreover, it will be very expensive to harnessed technologies into the rotational stage which can be incorporated into this conventional technique with an optimum degree of accuracy. Therefore, this paper will consider the translational data acquisition scheme which is proven mathematically as an alternative method to the conventional technique [1]. This translational scheme takes into account the variations and the magnification of both the source x-ray and the detector around the object and then proceeded by scans from different focal distances. Python packages with necessary plugins were used in implementing the reconstructive algorithm generated in simulating and modelling a suitable image of inspected object.

X-Ray Induced Acoustic Computed Tomography for Non-Destructive Testing of Aircraft Structure

2019 ◽  
Author(s):  
Tiffany Tran ◽  
Pratik Samant ◽  
Liangzhong Xiang ◽  
Yingtao Liu
Keyword(s):  
Computed Tomography ◽  
Simulation Study ◽  
Acoustic Waves ◽  
Imaging Technique ◽  
Ultrasonic Transducers ◽  
X Rays ◽  
Non Destructive Testing ◽  
Destructive Testing ◽  
X Ray ◽  
Non Destructive

Abstract For decades, aircraft disasters have always been a concern for airline companies and especially for consumers. Scientists all over the world have been constantly trying to study, discover and invent new methods for testing and prevention to reduce future aircraft accidents. One of those methods is non-destructive testing, which is a widely adaptive process for analyzing structural integrity over wide arrays of object. X-rays, ultrasound and computed tomography (CT) are non-destructive testing applications commonly used for the commercial aircraft maintenance. These non-destructive testing methods for aircraft structures give us high-quality images of structural damage but, there are some disadvantages related to resolution and the contrast mechanism of the image. The goal of this study is to demonstrate the concept of X-Ray Induced Acoustic Computed Tomography (XACT) imaging method for defect detection and localization through simulations using k-wave MATLAB toolbox. XACT is a technique based on the X-ray induced acoustic effect. In XACT, a short pulsed of X-rays are required to achieve thermal response and generate acoustic waves. X-ray travels to an object, the photons are absorbed causing the temperature in the object to raise, which generates acoustic waves due to thermoelastic expansion. These acoustic waves are then detected by ultrasonic transducers. Within the fuselage of the aircraft, the aircraft’s stiffener is designed using SolidWorks. along with two different types of defects through voids due to manufacturing imperfection process. As well as, cracks in the surface of the model due to mechanical failures are created in MATLAB. Two properties of Aluminum 6065 and Inconel 625 materials were selected for our simulation study since it is often used for the fuselage and/or aircraft engines. XACT images are generated under the combination of high X-ray absorption and ultrasonic transducers that will be able to overcome the disadvantages of the X-ray imaging technique and ultrasound imaging technique in image resolution and contrast mechanisms. The results from this simulation study demonstrate that the XACT method not only gives us high-resolution images but moreover, higher contrast of images that also allows us to detect position accuracy of the cons created.

scholarly journals Reconstruction of Barely Visible Impact Damage in Composite Structures Based on Non-Destructive Evaluation Results

Sensors ◽  
2019 ◽  
Vol 19 (21) ◽  
pp. 4629 ◽  
Author(s):  
Wronkowicz-Katunin ◽  
Katunin ◽  
Dragan
Keyword(s):  
Composite Structures ◽  
Impact Damage ◽  
Failure Mechanisms ◽  
Structural Safety ◽  
Non Destructive Testing ◽  
Destructive Testing ◽  
X Ray ◽  
Computed Tomographic ◽  
X Ray Computed ◽  
Non Destructive

The occurrence of barely visible impact damage (BVID) in aircraft composite components and structures being in operation is a serious problem, which threatens structural safety of an aircraft, and should be timely detected and, if necessary, repaired according to the obligatory regulations of currently applied maintenance methodologies. Due to difficulties with a proper detection of such a type of damage even with non-destructive testing (NDT) methods as well as manual evaluation of the testing results, supporting algorithms for post-processing of these results seem to be of a high interest for aircraft maintenance community. In the following study, the authors proposed new approaches for BVID reconstruction based on results of ultrasonic and X-ray computed tomographic testing using authored advanced image processing algorithms. The studies were performed on real composite structures taking into consideration failure mechanisms occurring during impact damaging. The developed algorithms allow extracting relevant diagnostic information both from ultrasonic B-and C-Scans as well as from tomographic 3D arrays used for the validation of ultrasonic reconstructed damage locations, which allows for a significant improvement of the detectability of BVID in tested structures. The developed approach can be especially useful for NDT operators evaluating the results of structural NDT inspections.

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