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contributor authorGhafarzadeh, Mahdi
contributor authorKabir, Mostafa
contributor authorKejani, Mohammad Tavakoli
date accessioned2024-12-24T19:15:06Z
date available2024-12-24T19:15:06Z
date copyright5/20/2024 12:00:00 AM
date issued2024
identifier issn2572-3901
identifier othernde_7_3_031002.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4303585
description abstractThe objective of this article is to develop an effective method for material discrimination, distinguishing specifically between light metallic materials and heavy ones at low X-ray energies. In this research, Monte Carlo simulations are employed to investigate the influential factors affecting material discrimination. Initially, for result validation, the experimental setup is fully simulated based on the Monte Carlo method. The X-ray spectrum of 160 keV is simulated, and then it is registered after interacting with step wedges made of iron, aluminum, graphite, and ABS at specific thicknesses, capturing the radiation flux at each step. The results are compared with the experimental findings obtained from a dual-layer detector, demonstrating excellent agreement. In practice, the dual-layer detector comprises a low-energy GOS detector, a copper filter, and a high-energy CsI(Tl) detector. The energy spectra of the registered X-rays on each layer of detectors are obtained using the Monte Carlo method. Materials with low, medium, and high atomic numbers are chosen for analysis. These materials are categorized into three groups: organic materials (comprising both light and heavy organic and biological substances), light metals, and heavy metals. Discrimination between materials is achieved independently of their thickness by utilizing a material classification map (MCM) derived from a graph depicting the transmission ratio of low-energy X-ray photons versus the linear attenuation coefficient ratio for various materials with different atomic numbers. The results have been successfully validated through testing with various materials and thicknesses using both the experimental setup and Monte Carlo simulations.
publisherThe American Society of Mechanical Engineers (ASME)
titleMaterial Classification Map Using Dual-Energy Method at Low-Energy X-Ray Spectrum: An Experimental and Monte Carlo Simulation Study
typeJournal Paper
journal volume7
journal issue3
journal titleJournal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
identifier doi10.1115/1.4065385
journal fristpage31002-1
journal lastpage31002-11
page11
treeJournal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems:;2024:;volume( 007 ):;issue: 003
contenttypeFulltext


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