Monte Carlo simulation of random, porous (foam) structures for neutron detection. (January 2017)

• Record Type: Journal Article
• Authors: Reichenberger, Michael A.; Fronk, Ryan G.; Shultis, J. Kenneth; Roberts, Jeremy A.; Edwards, Nathaniel S.; Stevenson, Sarah R.; Tiner, Christopher N.; McGregor, Douglas S.
• Is Part Of: Radiation physics and chemistry. Volume 130(2017)
• Page Start: 186
• Page End: 195
• Publication Date: 2017-01
• Subjects: Monte Carlo -- Neutron detection -- RVC foam -- Boron-carbide -- Lithium-fluoride; Radiation chemistry -- Periodicals; Radiometry -- Periodicals; Radiation -- Periodicals; Chimie sous rayonnement -- Périodiques; 539.2
• DOI: 10.1016/j.radphyschem.2016.08.021
• Languages: English
• ISSNs: 0969-806X

Abstract

Abstract: Porous media incorporating highly neutron-sensitive materials are of interest for use in the development of neutron detectors. Previous studies have shown experimentally the feasibility of 6 LiF-saturated, multi-layered detectors; however, the random geometry of porous materials has limited the effectiveness of simulation efforts. The results of scatterless neutron transport and subsequent charged reaction product ion energy deposition are reported here using a novel Monte Carlo method and compared to results obtained by MCNP6. This new Dynamic Path Generation (DPG) Monte Carlo method was developed in order to overcome the complexities of modeling a random porous geometry in MCNP6. The DPG method is then applied to determine the optimal coating thickness for 10 B4 C-coated reticulated vitreous-carbon (RVC) foams. The optimal coating thickness for 4.1275 cm-thick 10 B4 C-coated reticulated vitreous carbon foams with porosities of 5, 10, 20, 30, 45, and 80 pores per inch (PPI) were determined for ionizing gas pressures of 1.0 and 2.8 atm. A simulated, maximum, intrinsic thermal-neutron detection efficiency of 62.8±0.25% was predicted for an 80 PPI RVC foam with a 0.2 µm thick coating of 10 B4 C, for a lower level discriminator setting of 75 keV and an argon pressure of 2.8 atm. Highlights: Description and testing of novel Dynamic Path Generation Monte Carlo technique. Characterization of the physical structure of RVC foams with various porosities. Preliminary validation of Dynamic Path Generation by comparison to MCNP6. Optimization study of simulated B4 C-coated RVC foam materials.