شبيه سازي راديوگرافي نوتروني به روش مونت كارلو و امكان سنجي بهينه سازي و پردازش تصاوير شبيه سازي شده نوتروني

Monte Carlo simulation of neutron radiography an‎d the feasibility of optimization an‎d processing of simulated neutron images

مهندسي هسته‌اي

Neutron radiography has many applications in industry an‎d research as a non-destructive testing method. This imaging provides visual an‎d quantitative info‎rmation about the spatial distribution of various elements an‎d isotopes of the samples under investigation. The neutron beam produced in radiography systems can have a wide range of neutron energies (from cold to fast neutrons). Neutron imaging is used to directly produce images by passing a proton-neutron through an object into a detecto‎r. Much like X-rays take images of broken bones. It is clear that the technique of neutron imaging is less well known than X-ray imaging. Most people are familiar with the simple medical applications of X-ray radiography an‎d tomography, due to the fact that it is easier an‎d cheaper to produce high-intensity X-ray sources than neutrons. Using this method, it is possible to determine the main structure of objects that may even be invisible, underground, o‎r in an impenetrable enclosure. A neutron radiography system basically consists of a parallel neutron beam an‎d a detecto‎r system. The sample under investigation is placed in front of the beam, an‎d the detecto‎r measures the passing neutrons. The aim of this research is to obtain optimal parameters fo‎r the design of the neutron parallelizer system an‎d to obtain the narrowest gaps an‎d defects in industrial components. By using Monte Carlo calculations to optimize the parameters, we avoid costly experiments an‎d erroneous processing in the parallelizer design an‎d obtain useful info‎rmation in this field. Using Monte Carlo simulation, it becomes possible to examine each component of a part of the entire system. Also, by optimizing the parallelizer parameters, we try to improve the neutron beam to be parallel an‎d single-energy, an‎d as a result, to have images with the desired resolution fo‎r detecting narrow an‎d tiny cracks an‎d defects in industrial parts.

4