کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
8067142 1521081 2018 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
SERPENT validation and optimization with mesh adaptive search on stereolithography geometry models
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی مهندسی انرژی و فناوری های برق
پیش نمایش صفحه اول مقاله
SERPENT validation and optimization with mesh adaptive search on stereolithography geometry models
چکیده انگلیسی
The SERPENT Monte Carlo code has the unique capability to simulate neutron and gamma transport using a stereolithography (STL) geometry. The STL geometry can model irregular complex geometries often encountered, for example, in research reactors. This geometry type can be used in combination with an unstructured mesh-based interface to couple SERPENT to OpenFOAM for CFD analyses. The STL file format also allows printing the geometry model with 3D printers. This work validates SERPENT simulations based on the STL geometry using the GIACINT critical experimental facility and the YALINA Thermal subcritical experimental facility. The results and performances of SERPENT have been compared with those of the well-known MCNP code. Finally, SERPENT computing time has been significantly reduced by using its mesh adaptive search algorithm, which has been introduced to optimize simulations based on the stereolithography STL geometry, and a hybrid modeling that mixes combinatorial and STL geometries. In this work, the STL geometry model of SERPENT involved the use of multiple software and programming languages, including: CUBIT, PYTHON, C, and MATLAB.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Annals of Nuclear Energy - Volume 115, May 2018, Pages 619-632
نویسندگان
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