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)
1996-01-01
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
