X-ray modeling for industrial applications

Tillack, Gerd-Rüdiger; Nockemann, C.; Bellon, Carsten

doi:10.1016/s0963-8695(00)00019-0

Cited by 43 publications

(13 citation statements)

References 3 publications

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“…An original model of radiographies is proposed based on a study of the whole radiography acquisition process [47,57]. This model is used for background subtraction/rejection.…”

Section: Contribution Of This Papermentioning

confidence: 99%

Statistical detection of defects in radiographic images using an adaptive parametric model

Cogranne

Retraint

2014

Signal Processing

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“…An original model of radiographies is proposed based on a study of the whole radiography acquisition process [47,57]. This model is used for background subtraction/rejection.…”

Section: Contribution Of This Papermentioning

confidence: 99%

Statistical detection of defects in radiographic images using an adaptive parametric model

Cogranne

Retraint

2014

Signal Processing

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“…Christina Müller (1) , Håkan Rydén (2) , Mstislav Elagin (1) , Carsten Bellon (1) , Uwe Ewert (1) , Ulf Ronneteg (2) , Martina Scharmach (1) , Bernhard Redmer…”

Section: Reliability Evaluation Of Ndt Techniques For Cu-welds For Riunclassified

“…The applied non-destructive testing methods are in a first step checked and optimized concerning the physical parameters and set up according to the latest European and American standards. For the detailed optimization of the radiographic technique the BAM "Xray" simulation tool [2] is applied to various parameter options thus saving lots of expensive experiments.…”

Section: Weldings and Risk Assessmentmentioning

confidence: 99%

Reliability evaluation of NDT techniques for Cu-welds for risk assessment of nuclear waste encapsulation

Müller¹,

Elaguine²,

Bellon³

et al. 2006

Materials Testing

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In order to handle the long living radioactive waste (spent nuclear fuel) SKB is planning to build a deep repository that requires no monitoring by future generations. The spent nuclear fuel will be encapsulated in copper canisters consisting of a graphite cast iron insert shielded by an outer 30-50 mm thick copper cylinder for corrosion protection. The most critical part of the encapsulation process is the sealing of the canister, which is done by welding the copper lid to the cylindrical part of the copper shell using -radiographic and ultrasonic testing -must be satisfactorily determined and combined to derive assumptions regarding the frequency of undetected welding defects for the ensemble of canisters as input for the risk assessment. This is done using the POD method according to the "Reliability Handbook MIL 1823" and its generalization to more complex defect situations in welds.friction stir welding and electron beam welding. The quality of the welding process and the reliability of the NDT system

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“…The cooperation of X-ray image with CAD model can also provide the efficient ROI information useful for an automatic inspection scheme (Tillack et al 2000;Noble et al 1998 Interfacing the X-ray image with CAD model is very challenging area. Since it is difficult to find out geometric features in the X-ray image for CAD matching, a few results have been presented.…”

Section: Introductionmentioning

confidence: 99%

Edge Extraction by an Exponential Function Considering X-ray Transmission Characteristics

Kim

Synn

Cho

et al. 2011

International Journal of Optomechatronics

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3-D radiographic methodology has been into the spotlight for quality inspection of mass product or in-service inspection of aging product. To locate a target object in 3-D space, its characteristic contours such as edge length, edge angle, and vertices are very important. In spite of a simple geometry product, it is very difficult to get clear shape contours from a single radiographic image. The image contains scattering noise at the edges and ambiguity coming from X-Ray absorption within the body. This article suggests a concise method to extract whole edges from a single X-ray image. At the edge point of the object, the intensity of the X-ray decays exponentially as the X-ray penetrates the object. Considering this X-Ray decaying property, edges are extracted by using the least square fitting with the control of Coefficient of Determination.

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X-ray modeling for industrial applications

Cited by 43 publications

References 3 publications

Statistical detection of defects in radiographic images using an adaptive parametric model

Statistical detection of defects in radiographic images using an adaptive parametric model

Reliability evaluation of NDT techniques for Cu-welds for risk assessment of nuclear waste encapsulation

Edge Extraction by an Exponential Function Considering X-ray Transmission Characteristics

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