### Skapa referens, olika format (klipp och klistra)

**Harvard**

Lindgren, E. (2015) *Detectability Limitations with 3-D Point Reconstruction Algorithms using Digital Radiography*.

** BibTeX **

@conference{

Lindgren2015,

author={Lindgren, Erik},

title={Detectability Limitations with 3-D Point Reconstruction Algorithms using Digital Radiography},

booktitle={41st Annual Review of Progress in Quantitative Nondestructive Evaluation (QNDE), Boise, ID, JUL 20-25, 2014},

isbn={978-0-7354-1292-7},

pages={599-604},

abstract={The estimated impact of pores in clusters on component fatigue will be highly conservative when based on 2D rather than 3-D pore positions. To 3-D position and size defects using digital radiography and 3-D point reconstruction algorithms in general require a lower inspection time and in some cases work better with planar geometries than X-ray computed tomography. However, the increase in prior assumptions about the object and the defects will increase the intrinsic uncertainty in the resulting nondestructive evaluation output. In this paper this uncertainty arising when detecting pore defect clusters with point reconstruction algorithms is quantified using simulations. The simulation model is compared to and mapped to experimental data. The main issue with the uncertainty is the possible masking (detectability zero) of smaller defects around some other slightly larger defect. In addition, the uncertainty is explored in connection to the expected effects on the component fatigue life and for different amount of prior object-defect assumptions made.},

year={2015},

}

** RefWorks **

RT Conference Proceedings

SR Electronic

ID 219125

A1 Lindgren, Erik

T1 Detectability Limitations with 3-D Point Reconstruction Algorithms using Digital Radiography

YR 2015

T2 41st Annual Review of Progress in Quantitative Nondestructive Evaluation (QNDE), Boise, ID, JUL 20-25, 2014

SN 978-0-7354-1292-7

SP 599

OP 604

AB The estimated impact of pores in clusters on component fatigue will be highly conservative when based on 2D rather than 3-D pore positions. To 3-D position and size defects using digital radiography and 3-D point reconstruction algorithms in general require a lower inspection time and in some cases work better with planar geometries than X-ray computed tomography. However, the increase in prior assumptions about the object and the defects will increase the intrinsic uncertainty in the resulting nondestructive evaluation output. In this paper this uncertainty arising when detecting pore defect clusters with point reconstruction algorithms is quantified using simulations. The simulation model is compared to and mapped to experimental data. The main issue with the uncertainty is the possible masking (detectability zero) of smaller defects around some other slightly larger defect. In addition, the uncertainty is explored in connection to the expected effects on the component fatigue life and for different amount of prior object-defect assumptions made.

LA eng

DO 10.1063/1.4914659

LK http://dx.doi.org/10.1063/1.4914659

OL 30