A Study on the Optimal Make of X-ray Ionizer using the Monte Carlo N-Particle Extended Code(II)

Monte Carlo N-Particle Extended Code를 이용한 연 X선 정전기제거장치의 최적제작에 관한 연구(II)

  • Jeong, Phil Hoon (Division of Fire Protection & Safety Engineering, Electrical & Electronics Engineering, Busan Kyungsang College) ;
  • Lee, Dong Hoon (Department of Safety Engineering, Pukyong National University)
  • 정필훈 (부산경상대학교 소방안전.전기전자계열) ;
  • 이동훈 (부경대학교 안전공학과)
  • Received : 2017.09.14
  • Accepted : 2017.10.24
  • Published : 2017.12.31


In order to solve this sort of electrostatic failure in Display and Semiconductor process, Soft X-ray ionizer is mainly used. Soft X-ray Ionizer does not only generate electrical noise and minute particle but also is efficient to remove electrostatic as it has a wide range of ionization. There exist variable factors such as type of tungsten thickness deposited on target, Anode voltage etc., and it takes a lot of time and financial resource to find optimal performance by manufacturing with actual X-ray tube source. Here, MCNPX (Monte Carlo N-Particle Extended) is used for simulation to solve this kind of problem, and optimum efficiency of X-ray generation is anticipated. In this study, X-ray generation efficiency was compared according to target material thickness using MCNPX and actual X-ray tube source under the conditions that tube voltage is 5 keV, 10 keV, 15 keV and the target Material is Tungsten(W). At the result, In Tube voltage 5 keV and distance 100 mm, optimal target thickness is $0.05{\mu}m$ and fastest decay time appears + decay time 0.28 sec. - deacy time 0.30 sec. In Tube voltage 10keV and distance 100 mm, optimal target Thickness is $0.16{\mu}m$ and fastest decay time appears + decay time 0.13 sec. - deacy time 0.12 sec. In the tube voltage 15 keV and distance 100 mm, optimal target Thickness is $0.28{\mu}m$ and fastest decay time appears + decay time 0.04 sec. - deacy time 0.05 sec.


Supported by : 부경대학교


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