Neutron-Gamma Pulse Shape Discrimination Using 3D-Printed Plastic Scintillator with High-Concentration PPO

Kim, Kyungmin; Kim, Dong-geon; Lee, Sang‐Min; Park, Junesic; Son, Jun Ho; Kim, Yong Kyun

doi:10.1109/nss/mic42677.2020.9507824

Cited by 2 publications

(1 citation statement)

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“…However, like the other light-based, 3D-printable formulations, PSD performance was not reported. Recent research was successful in producing a DLP 3D-printed plastic scintillator sample with a reported PSD FoM of 1.73 ± 0.02 from 300-1000 keVee using 30% PPO [11]. Another novel, light-cured, PSD plastic scintillator was recently reported in [12], but the required cure time of tens of minutes makes its use in 3D printing impractical, where cure times of tens of seconds or less are required for rapid prototyping and manufacturing.…”

Section: Introductionmentioning

confidence: 99%

Fast-, Light-Cured Scintillating Plastic for 3D-Printing Applications

Frandsen

Febbraro

Ruland

et al. 2023

JNE

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Additive manufacturing techniques enable a wide range of possibilities for novel radiation detectors spanning simple to highly complex geometries, multi-material composites, and metamaterials that are either impossible or cost prohibitive to produce using conventional methods. The present work identifies a set of promising formulations of photocurable scintillator resins capable of neutron-gamma pulse shape discrimination (PSD) to support the additive manufacturing of fast neutron detectors. The development of these resins utilizes a step-by-step, trial-and-error approach to identify different monomer and cross-linker combinations that meet the requirements for 3D printing followed by a 2-level factorial parameter study to optimize the radiation detection performance, including light yield, PSD, optical clarity, and hardness. The formulations resulted in hard, clear, PSD-capable plastic scintillators that were cured solid within 10 s using 405 nm light. The best-performing scintillator produced a light yield 83% of EJ-276 and a PSD figure of merit equaling 1.28 at 450–550 keVee.

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Section: Introductionmentioning

confidence: 99%