granular properties
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2020 ◽  
Vol 359 ◽  
pp. 126-144 ◽  
Author(s):  
Taha Abbas Bin Rashid ◽  
Li-Tao Zhu ◽  
Zheng-Hong Luo


2016 ◽  
Vol 94 (9) ◽  
pp. 826-833 ◽  
Author(s):  
Nan Gui ◽  
Xingtuan Yang ◽  
Jiyuan Tu ◽  
Shengyao Jiang

The work deals with evaluation and simulation of the thermal discrete element method (TDEM) for particle–particle collision and thermal conduction in a packed bed. The effects of different granular properties, such as particle size, stiffness factor or compression degree, thermal diffusivity, void fraction or concentrations, and packing states, on the thermal conduction and insulation characteristics of granular assembly are discussed. The thermal conductivity and diffusion still play dominant roles in the overall thermal conduction and insulation of the granular bed. However, it is also indicated that increasing compression degree, reducing particle size and void concentration will increase the thermal conduction throughout the granular materials, and vice versa.



RSC Advances ◽  
2014 ◽  
Vol 4 (34) ◽  
pp. 17461-17468 ◽  
Author(s):  
Makoto Otsuka ◽  
Akira Koyama ◽  
Yusuke Hattori

Simultaneous real-time monitoring of water content and mean particle size in the powder bed of a fluidized-bed granulator was performed by near-infrared (NIR) spectroscopy through a window, and the findings were used to evaluate the granular properties.





2011 ◽  
Author(s):  
Devina Sharma ◽  
Ranjan Kumar ◽  
V. P. S. Awana ◽  
S. K. Tripathi ◽  
Keya Dharamvir ◽  
...  


2009 ◽  
Vol 12 (2) ◽  
pp. 438-449 ◽  
Author(s):  
J. Eke ◽  
S.C. Achinewhu ◽  
L. Sanni ◽  
I.S. Barimalaa ◽  
B. Maziya-Dixon ◽  
...  


2008 ◽  
Vol 357 (1-2) ◽  
pp. 206-212 ◽  
Author(s):  
Hong-Liang Lin ◽  
Hsiu-O. Ho ◽  
Chi-Chia Chen ◽  
Ta-Shuong Yeh ◽  
Ming-Thau Sheu
Keyword(s):  


2008 ◽  
pp. 515-522
Author(s):  
Qing-ming Cao ◽  
Hai-yan Zhong ◽  
Zhong-hai Li


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