Location

Seattle, WA

Start Date

1-1-1996 12:00 AM

Description

The quality of x-ray radiography NDE is highly dependent on a large number of inspection parameters. Examples of these parameters are the generator settings: tube potential, tube current, exposure time,…; object parameters: orientation, thickness, distance from the source…; detector parameters: film type, source to detector distance, etc. Optimization of an x-ray nondestructive testing can be achieved by testing different settings and choosing the set of parameters that produces the best possible radiograph. The large dimensionality of the optimization problem, however, makes the process of manually changing the inspection parameters, and investigating the radiographs, not an easy task. The time and cost requirements of the optimization process can be reduced by resorting to advanced x-ray computer simulators.

Volume

15A

Chapter

Chapter 1: Standard Techniques

Section

Radiography and Computed Tomography

Pages

425-432

DOI

10.1007/978-1-4613-0383-1_54

Language

en

File Format

application/pdf

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Jan 1st, 12:00 AM

Optimization Tool for X-Ray Radiography NDE

Seattle, WA

The quality of x-ray radiography NDE is highly dependent on a large number of inspection parameters. Examples of these parameters are the generator settings: tube potential, tube current, exposure time,…; object parameters: orientation, thickness, distance from the source…; detector parameters: film type, source to detector distance, etc. Optimization of an x-ray nondestructive testing can be achieved by testing different settings and choosing the set of parameters that produces the best possible radiograph. The large dimensionality of the optimization problem, however, makes the process of manually changing the inspection parameters, and investigating the radiographs, not an easy task. The time and cost requirements of the optimization process can be reduced by resorting to advanced x-ray computer simulators.