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Assessment of dead layers thickness of an HPGe detector after an extended operating period using response surface methodology and Box–Behnken design

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Radiation Detection Technology and Methods 2023年第4期7卷 599-610页

作者： A.Arectout H.Boukhal E.Chham E.Chakir F.Piñero-García M.Azahra H.El Yaakoubi K.Laazouzi T.El Ghalbzouri M.Assalmi ERSN Faculty of SciencesAbdelmalek Essaadi UniversityTetouanMorocco Department of Medical Radiation Sciences Institute of Clinical SciencesSahlgrenska Academy at University of GothenburgGothenburgSweden LPMS Faculty of SciencesIbn Tofail UniversityKenitraMorocco LBGPE Multidisciplinary FacultyMohammed First UniversityOujdaMorocco SCOLAb Fisica AplicadaFisica AplicadaMiguel Hernandez UniversityElcheSpain

Purpose This work aims to study the increase in dead layer thickness of an HPGe N-type detector during its operational period from 2012 to *** The dead layer was examined along three Ge-crystal surfaces,such as outer frontal,outer lateral,and inner *** parameters were optimized using response surface methodology(RSM)with a Box–Behnken design(BBD).The Monte Carlo calculations using the GAMOS(Geant4-based Architecture for Medicine-Oriented Simulations)code were performed to evaluate the detector’s efficiency at different values of the inactive germanium *** and conclusion The optimal combination of dead layer thickness has been identified using the desirability function approach,which is a useful tool to optimize multi-response *** find the variation in dead layer thickness over the operational period,the optimization procedure was reiterated for both experimental efficiencies measured in 2012 and *** obtained results show that dead layers thickness has increased from 0.6141 mm to 0.7447 mm,0.0803 mm to 2.2721 mm,and 1.5012 mm to 1.6091 mm for the outer frontal,outer lateral,and inner lateral surfaces,respectively.

关键词： Dead layer increase HPGe detector GAMOS code Response surface methodology Box-Behnken design Multi-response optimization desirability approach

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Effects of electrolysis process parameters on alumina dissolution and their optimization

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Transactions of Nonferrous Metals Society of China 2020年第12期30卷 3390-3403页

作者： Wen-yuan HOU He-song LI Mao LI Ben-jun CHENG Yuan FENG School of Energy Science and Engineering Central South UniversityChangsha 410083China

The Box–Behnken design and desirability approach were used to investigate and optimize the process parameters for aluminum reduction cells related to alumina dissolution. The bath temperature, alumina content, current and alumina temperature were chosen as the design parameters. The content of cumulative dissolved alumina(CCDA) and the relative deviation from the target content(RDTC) were adopted as the responses. The interactive influence results show that increasing the bath temperature and alumina temperature, as well as decreasing the alumina content, can increase CCDA. Increasing the bath temperature and lowering the current are beneficial for obtaining a more uniform alumina distribution. The optimal operating parameters were determined to be as follows: bath temperature of 958.8 ℃, alumina content of 2.679 wt.%, current of 300 kA and alumina temperature of 200 ℃.

关键词： aluminum reduction cell alumina dissolution response surface methodology desirability approach heat and mass transfer

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