The radiographic test is one of the most widely used non destructive inspection techniques. It proceedes through two operative phases: the radiographic image forming process and the diagnosis. Computers can automate diagnosis, with substantial advantages in terms of speed and objectivity, comparing the digitized actual image with a computer generated radiograph of the same, but flawless, object (the ideal image). In this work a new method to synthetize the ideal image is proposed and described. It is based on the numerical integration of the Boltzmann transport equation which rules the flux of mass/energy, related with the interaction phenomena between photons and materials. The Quadrics QH4 demonstrated to be very effective to improve the automation level of the diagnosis realizing a very fast radiographic simulator. This has been possible because a specific algorithm has been developed on SIMD parallel architecture. The final result is a code that reaches about 8.7 GFlops using all the 2 GByte of memory capability on QH4 (35% of the peak performance). © Springer-Verlag Berlin Heidelberg 1996.

Radiographic process simulation by integration of boltzmann equation on SIMD architecture (Quadrics QH4)

1996

Abstract

The radiographic test is one of the most widely used non destructive inspection techniques. It proceedes through two operative phases: the radiographic image forming process and the diagnosis. Computers can automate diagnosis, with substantial advantages in terms of speed and objectivity, comparing the digitized actual image with a computer generated radiograph of the same, but flawless, object (the ideal image). In this work a new method to synthetize the ideal image is proposed and described. It is based on the numerical integration of the Boltzmann transport equation which rules the flux of mass/energy, related with the interaction phenomena between photons and materials. The Quadrics QH4 demonstrated to be very effective to improve the automation level of the diagnosis realizing a very fast radiographic simulator. This has been possible because a specific algorithm has been developed on SIMD parallel architecture. The final result is a code that reaches about 8.7 GFlops using all the 2 GByte of memory capability on QH4 (35% of the peak performance). © Springer-Verlag Berlin Heidelberg 1996.
9783540611424
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12079/4028
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