US 11,892,388 B2
Simulation device, simulation method, and program
Motoaki Saruwatari, Ehime (JP); and Hideya Nakamura, Osaka (JP)
Assigned to SUMITOMO METAL MINING CO., LTD., Tokyo (JP); and University Public Corporation Osaka, Osaka (JP)
Filed by SUMITOMO METAL MINING CO., LTD., Tokyo (JP); and University Public Corporation Osaka, Osaka (JP)
Filed on Nov. 25, 2022, as Appl. No. 18/058,808.
Application 18/058,808 is a continuation in part of application No. PCT/JP2021/020745, filed on May 31, 2021.
Claims priority of application No. 2020-095620 (JP), filed on Jun. 1, 2020; and application No. 2020-162719 (JP), filed on Sep. 28, 2020.
Prior Publication US 2023/0091287 A1, Mar. 23, 2023
Int. Cl. G01N 15/10 (2006.01); G01N 15/14 (2006.01); G16C 20/30 (2019.01); G01N 15/00 (2006.01)
CPC G01N 15/1012 (2013.01) [G01N 15/1425 (2013.01); G16C 20/30 (2019.02); G01N 2015/0003 (2013.01); G01N 2015/1025 (2013.01)] 7 Claims
OG exemplary drawing
 
1. A simulation device for analyzing behavior of a granular material that includes a plurality of particles, the simulation device comprising:
a processor; and
a memory storing program instructions that cause the processor to:
acquire a first parameter including a parameter relating to the granular material,
obtain a second parameter relating to a single particle model, the single particle model being a conceptual representation in which the plurality of particles arranged in a cube are regarded as a single particle,
simulate a behavior of the single particle model based on the first parameter and the second parameter to produce a simulation result of the behavior of the single particle model,
analyze the behavior of the granular material in a reaction furnace using the simulation result of the behavior of the single particle model to produce an analysis result of the behavior of the granular material, and
supply, based on the analysis result of the behavior of the granular material, the granular material from a granular supply device to the reaction furnace,
wherein, in the obtaining the second parameter, the program instructions stored in the memory further cause the processor to:
calculate a first elastic energy of a particle group from forces exerted on the plurality of particles when the particle group collides with a certain surface, the particle group being the plurality of particles arranged in the cube,
calculate a second elastic energy of the single particle model from a force exerted on the single particle model when the single particle model collides with the certain surface,
derive an equation that demonstrates an equivalence of the calculated first and second elastic energies,
establish a characteristic equation for the second parameter from the derived equation based on an assumption that a center of gravity of the particle group coincides with that of the single particle model, and
obtain the second parameter by solving the characteristic equation.