scholarly journals Monte Carlo Simulation-Based BEAMnrc Code of a 6 MV Photon Beam Produced by a Linear Accelerator (LINAC)

2021 ◽  
Vol 47 (3) ◽  
pp. 199
Author(s):  
R. Sapundani ◽  
R. Ekawati ◽  
K. M. Wibowo
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Linear Accelerator ◽  
Photon Beam ◽  
Beamnrc Code ◽  
Simulation Based

Validation of Monte Carlo simulation of 6 MV photon beam produced by Varian Clinac 2100 linear accelerator using BEAMnrc code and DOSXYZnrc code

2017 ◽  
Vol 14 (5) ◽  
pp. 780-787 ◽  
Author(s):  
Mohamed Bencheikh ◽  
Abdelmajid Maghnouj ◽  
Jaouad Tajmouati ◽  
Abdessamad Didi ◽  
Ahad Olah Ezzati
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Linear Accelerator ◽  
Photon Beam ◽  
Beamnrc Code

SU-E-T-715: GATE Monte Carlo Simulation of a 6 MV SIEMENS OncorTM Linear Accelerator Photon Beam : Feasibility and Preliminary Dosimetric Study

2011 ◽  
Vol 38 (6Part22) ◽  
pp. 3655-3655 ◽  
Author(s):  
S Benhalouche ◽  
S Edel ◽  
D Visvikis ◽  
O Pradier ◽  
N Boussion
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Linear Accelerator ◽  
Photon Beam ◽  
Dosimetric Study

Monte Carlo simulation of Varian Linac for 6 MV photon beam with BEAMnrc code

2018 ◽  
Vol 144 ◽  
pp. 69-75 ◽  
Author(s):  
Maged Mohammed ◽  
T. El Bardouni ◽  
E. Chakir ◽  
H. Boukhal ◽  
M. Saeed ◽  
...  
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Photon Beam ◽  
Beamnrc Code

scholarly journals Voronoi diagram and Monte-Carlo simulation based finite element optimization for cost-effective 3D printing

2021 ◽  
Vol 50 ◽  
pp. 101301
Author(s):  
A.Z. Zheng ◽  
S.J. Bian ◽  
E. Chaudhry ◽  
J. Chang ◽  
H. Haron ◽  
...  
Keyword(s):  
Monte Carlo Simulation ◽  
Finite Element ◽  
Monte Carlo ◽  
3D Printing ◽  
Voronoi Diagram ◽  
Cost Effective ◽  
Simulation Based

Monte Carlo Simulation of Texture and Microstructure Transformation during Annealing of Steel

2007 ◽  
Vol 129 ◽  
pp. 83-87
Author(s):  
Hua Long Li ◽  
Jong Tae Park ◽  
Jerzy A. Szpunar
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Grain Boundary ◽  
Computer Model ◽  
Graphical Representation ◽  
Structural Characteristics ◽  
Polycrystalline Materials ◽  
Virtual Experiments ◽  
Grain Boundary Character ◽  
Simulation Based

Controlling texture and microstructure evolution during annealing processes is very important for optimizing properties of steels. Theories used to explain annealing processes are complicated and always case dependent. An recently developed Monte Carlo simulation based model offers an effective tool for studying annealing process and can be used to verify the arbitrarily defined theories that govern such processes. The computer model takes Orientation Image Microscope (OIM) measurements as an input. The abundant information contained in OIM measurement allows the computer model to incorporate many structural characteristics of polycrystalline materials such as, texture, grain boundary character, grain shape and size, phase composition, chemical composition, stored elastic energy, and the residual stress. The outputs include various texture functions, grain boundary and grain size statistics that can be verified by experimental results. Graphical representation allows us to perform virtual experiments to monitor each step of the structural transformation. An example of applying this simulation to Si steel is given.

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