Characterization of extended range Bonner Sphere Spectrometers in the CERF high-energy broad neutron field at CERN

Author(s):  
S. Agosteo ◽  
R. Bedogni ◽  
M. Caresana ◽  
N. Charitonidis ◽  
M. Chiti ◽  
...  
2010 ◽  
Vol 45 (10) ◽  
pp. 1522-1525 ◽  
Author(s):  
A. Esposito ◽  
R. Bedogni ◽  
C. Domingo ◽  
M.J. García ◽  
K. Amgarou

2014 ◽  
Vol 29 (suppl.) ◽  
pp. 25-30 ◽  
Author(s):  
Smet de ◽  
Isabelle Gerardy ◽  
Frederic Stichelbaut ◽  
Silvia Tolo

Proton therapy uses proton beams with energies typically between 50 and 230 MeV to treat cancerous tumors very efficiently, while protecting as much as possible surrounding healthy tissues from radiation damage. Protons interacting with matter inevitably induce secondary radiation from which all people inside the proton therapy center have to be protected. The ambient dose equivalent H*(10) in such a facility is mainly due to neutrons, which can have energies up to 230 MeV. Although various dose monitoring systems sensitive to high energy neutrons have already been developed, the response function of these detectors is often insufficiently characterized, and so are the calibration factors appropriate for the specific neutron spectra encountered inside a proton therapy facility. In this work, the Monte Carlo code MCNPX 2.5.0 has been used to study the response function of the extended-range rem-meter WENDI-2 from thermal energies up to 5 GeV. A good match has been obtained with equivalent simulation results found in literature. As a first step towards the characterization of the WENDI-2 response in continuous neutron fields, MCNPX simulations have also been carried out for the case-study of a bunker around an 18 MeV H-cyclotron, which involves neutron fields from thermal energies up to 18 MeV.


2009 ◽  
Vol 44 (7-8) ◽  
pp. 660-672 ◽  
Author(s):  
B. Wiegel ◽  
S. Agosteo ◽  
R. Bedogni ◽  
M. Caresana ◽  
A. Esposito ◽  
...  

2018 ◽  
Vol 180 (1-4) ◽  
pp. 80-84
Author(s):  
M Romero-Expósito ◽  
S Viñals ◽  
O Ortega-Gelabert ◽  
B Fernández ◽  
P Jiménez-Bonilla ◽  
...  

2016 ◽  
Author(s):  
Antonio Lanzirotti ◽  
◽  
Stephen R. Sutton ◽  
Matt Newville ◽  
Jeffrey P. Fitts ◽  
...  

Polymers ◽  
2021 ◽  
Vol 13 (12) ◽  
pp. 1971
Author(s):  
Lihua Ye ◽  
Muhammad Muzamal Ashfaq ◽  
Aiping Shi ◽  
Syyed Adnan Raheel Shah ◽  
Yefan Shi

In this research, the aim relates to the material characterization of high-energy lithium-ion pouch cells. The development of appropriate model cell behavior is intended to simulate two scenarios: the first is mechanical deformation during a crash and the second is an internal short circuit in lithium-ion cells during the actual effect scenarios. The punch test has been used as a benchmark to analyze the effects of different state of charge conditions on high-energy lithium-ion battery cells. This article explores the impact of three separate factors on the outcomes of mechanical punch indentation experiments. The first parameter analyzed was the degree of prediction brought about by experiments on high-energy cells with two different states of charge (greater and lesser), with four different sizes of indentation punch, from the cell’s reaction during the indentation effects on electrolyte. Second, the results of the loading position, middle versus side, are measured at quasi-static speeds. The third parameter was the effect on an electrolyte with a different state of charge. The repeatability of the experiments on punch loading was the last test function analyzed. The test results of a greater than 10% state of charge and less than 10% state of charge were compared to further refine and validate this modeling method. The different loading scenarios analyzed in this study also showed great predictability in the load-displacement reaction and the onset short circuit. A theoretical model of the cell was modified for use in comprehensive mechanical deformation. The overall conclusion found that the loading initiating the cell’s electrical short circuit is not instantaneously instigated and it is subsequently used to process the development of a precise and practical computational model that will reduce the chances of the internal short course during the crash.


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