Monte Carlo Simulations in NDT
نویسنده
چکیده
X-ray techniques are commonly used in the fields of non-destructive testing (NDT) of industrial parts, material characterization, security and examination of various other specimens. The most used techniques for obtaining images are radioscopy for 2D and computed tomography (CT) for 3D imaging. Apart from these two imaging techniques, where X-ray radiation penetratesmatter, other methods like refraction or fluorescence analysis can also be used to obtain information about objects and materials. The vast diversity of possible specimen and examination tasks makes the development of universal X-ray devices impossible. It rather is necessary to develop and optimize X-ray machines for a specific task or at least for a limited range of tasks. The most important parameters that can be derived from object geometry and material composition are the X-ray energy or spectrum, the dimensions, the examination geometries and the size of the detector. The task itself demands a certain image quality which depends also on the X-ray spectrum, the examination geometry and furthermore on the size of the X-ray source’s focal spot and the resolution of the detector. Monte-Carlo (MC) simulations are a powerful tool to optimize an X-ray machine and its key components. The most important components are the radiation source, e.g. an X-ray tube and the detector. MC particle physics simulation codes like EGS (Nelson et al., 1985) or GEANT (Agostinelli et al., 2003) can describe all interactions of particles with matter in an X-ray environment verywell. Almost all effects can be derived from these particle physics processes. The MC codes are event based. Every single primary particle is generated and tracked along with all secondary particles until the energy of all particles drops below a certain threshold. The primaries are generated one after another, since no interactions between particles take place. When simulating X-ray sources, in most cases X-ray tubes, the primary particles are electrons. The electron beam is parameterized by the electrons’ kinetic energy and the intensity profile along the cross-section of the beam. When hitting the target, X-rays are generated by interaction of electrons with the medium. The relevant magnitudes for imaging are the X-ray energy spectrum and the effective optical focal spot size (Morneburg, 1995). The most used imaging systems in the field of NDT are flat panel detectors. There are two basic types of detectors: Direct converting semiconductor detectors and indirect converting scintillation detectors. The type of particle interactions in the respective sensor layer determines the detection efficiency and effective spatial resolution. Interaction of X-rays in direct converting detectors produces electron-hole-pairs in the semiconductor materials. The free charge carriers drift to electrodes,where the current can bemeasured.MC simulations can Monte Carlo Simulations in NDT
منابع مشابه
Gyration Radius and Energy Study at Different Temperatures for Acetylcholine Receptor Protein in Gas Phase by Monte Carlo, Molecular and Langevin Dynamics Simulations
The determination of gyration radius is a strong research for configuration of a Macromolecule. Italso reflects molecular compactness shape. In this work, to characterize the behavior of theprotein, we observe quantities such as the radius of gyration and the average energy. We studiedthe changes of these factors as a function of temperature for Acetylcholine receptor protein in gasphase with n...
متن کاملEnergy Study at Different Temperatures for Active Site of Azurin in Water, Ethanol, Methanol and Gas Phase by Monte Carlo Simulations
The interaction between the solute and the solsent molecules play a crucial role in understanding the various molecular processes involved in chemistry and biochemistry, so in this work the potential energy of active site of azurin have been calculated in solvent by the Monte Carlo simulation. In this paper we present quantitative results of Monte Carlo calculations of potential energies of ...
متن کاملThe Use of Monte-Carlo Simulations in Seismic Hazard Analysis in Tehran and Surrounding Areas
Probabilistic seismic hazard analysis is a technique for estimating the annual rate of exceedance of a specified ground motion at a site due to the known and suspected earthquake sources. A Monte-Carlo approach is utilized to estimate the seismic hazard at a site. This method uses numerous resampling of an earthquake catalog to construct synthetic catalogs to evaluate the ground motion hazard a...
متن کاملEnergy study at different solvents for potassium Channel Protein by Monte Carlo, Molecular and Langevin Dynamics Simulations
Potassium Channels allow potassium flux and are essential for the generation of electric current acrossexcitable membranes. Potassium Channels are also the targets of various intracellular controlmechanisms; such that the suboptimal regulation of channel function might be related to pathologicalconditions. Realistic studies of ion current in biologic channels present a major challenge for compu...
متن کاملProbabilistic Multi Objective Optimal Reactive Power Dispatch Considering Load Uncertainties Using Monte Carlo Simulations
Optimal Reactive Power Dispatch (ORPD) is a multi-variable problem with nonlinear constraints and continuous/discrete decision variables. Due to the stochastic behavior of loads, the ORPD requires a probabilistic mathematical model. In this paper, Monte Carlo Simulation (MCS) is used for modeling of load uncertainties in the ORPD problem. The problem is formulated as a nonlinear constrained mul...
متن کاملComparison of dosimetry parameters of two commercially available Iodine brachytherapy seeds using Monte Carlo calculations
Background: Iodine brachytherapy sources with low photon energies have been widely used in treating cancerous tumors. Dosimetric parameters of brachytherapy sources should be determined according to AAPM TG-43U1 recommendations before clinical use. Monte Carlo codes are reliable tools in calculation of these parameters for brachytherapy sources. Materials and Methods: Dosimetric param...
متن کامل