Availability of MCNP & MATLAB for reconstructing the water-vapor two-phase flow pattern in neutron radiography  

作　　者：FENG Qixi FENG Quanke TAKESHI Kawai 

机构地区：[1]School of Energy and Power Engineering, Xi＇an Jiaotong University, Xi＇an 710049, China

出　　处：《Nuclear Science and Techniques》2008年第5期282-289,共8页核技术（英文）

基　　金：Supported by National Natural Science Foundation of China (Grant No.50876080)

摘　　要：The China Advanced Research Reactor (CARR) is scheduled to be operated in the autumn of 2008.In this paper,we report preparations for installing the neutron radiography instrument (NRI) and for utilizing it efficiently. The 2-D relative neutron intensity profiles for the water-vapor two-phase flow inside the robe were obtained using the MCNP code without influence of y-ray and electronic-noise.The MCNP simulation of the 2-D neutron intensity profile for the water-vapor two-phase flow was demonstrated.The simulated 2-D neutron intensity profiles could be used as the benchmark data base by calibrating part of the data measured by the CARR-NRI.The 3-D objective images allow us to understand the flow pattern more clearly and it is reconstructed using the MATLAB through the threshold transformation techniques.And thus it is concluded that the MCNP code and the MATLAB are very useful for constructing the benchmark data base for the investigation of the water-vapor two-phase flow using the CARR-NRI.The China Advanced Research Reactor （CARR） is scheduled to be operated in the autumn of 2008. In this paper, we report preparations for installing the neutron radiography instrument （NRI） and for utilizing it efficiently. The 2-D relative neutron intensity profiles for the water-vapor two-phase flow inside the tube were obtained using the MCNP code without influence of y-my and electronic-noise. The MCNP simulation of the 2-D neutron intensity profile for the water-vapor two-phase flow was demonstrated. The simulated 2-D neutron intensity profiles could be used as the benchmark data base by calibrating part of the data measured by the CARR-NRI. The 3-D objective images allow us to understand the flow pattern more clearly and it is reconstructed using the MATLAB through the threshold transformation techniques. And thus it is concluded that the MCNP code and the MATLAB are very useful for construodng the benchmark data base for the investigation of the water-vapor two-phase flow using the CARR-NRI.

关 键 词：核反应堆 中国先进研究堆 中子X射线照相术 水汽两相流 

分 类 号：TL816[核科学技术—核技术及应用]