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Design of Multi-purpose Gamma Irradiator System Based on Combined Monte Carlo Geant4 and GPU Hardware

Razimanesh, Masoud | 2014

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 48074 (46)
  4. University: Sharif University of Technology
  5. Department: Energy Engineering
  6. Advisor(s): Sohrabpour, Mostafa
  7. Abstract:
  8. Gamma irradiation systems are used extensively in the industry in order to sterilize medical devices, disinfect hygienic materials or increase the shelf life of agricultural produce. The method of gamma irradiation is superior to the older methods of heat or chemical treatment because it is by far a simpler operation. In this method only a single parameter of time is controlled whereas in the other mentioned methods five or six different parameters need to be controlled. The design of irradiation systems including the size, location of products and arrangement of source rack pencils. In order to optimize the design it is needed to study the products dose distribution in a wide range of densities. Monte Carlo is a technique from which one may attempt to optimize the design with a required specifications. Since this method requires a high computation time thus it is necessary to speed up the simulation by various available methods one such method is utilization of graphics processors which use parallel execution. In this work we have utilized a fast Monte Carlo algorithm of Geant4 that has utilized a graphical processor of NVIDIA which is based on a CUDA programming language, for this purpose, a series GTX660 Ti NVIDIA's GPU has been used. Using this computational technique we have simulated IR-136 gamma irradiator and the results of this simulation has been benchmarked against previous published work. Also we have applied the current setup against a new industrial irradiator system. We have developed the basic dosimetric data for this new system and we have shown that development of basic design information for the new system can be obtained in only a minute fraction of the time compared to the MCNP calculation which was performed previously. The GEANT4 code and its combination with GPU produced the same data with the difference that computational speed increased by a factor of about 3300 relative to that obtained from GEANT4 with CPU
  9. Keywords:
  10. Matching ; Speedup Analysis ; Geant4 Application for Tomographic (GATE)Emission ; Gamma Irradiation ; Monte Carlo Method ; Fast Algorithm ; Graphics Procssing Unit (GPU)

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