Insight in model parameters by studying temperature influence on isothermal cocoa butter crystallization

2005 ◽  
Vol 107 (9) ◽  
pp. 660-672 ◽  
Author(s):  
Imogen Foubert ◽  
Peter A. Vanrolleghem ◽  
Koen Dewettinck
2019 ◽  
Vol 10 (1) ◽  
pp. 149
Author(s):  
Thais Lomonaco Teodoro Da Silva ◽  
Renato Grimaldi ◽  
Lireny Aparecida Guaraldo Gonçalves

2016 ◽  
Vol 33 ◽  
pp. 289-297 ◽  
Author(s):  
Annelien Rigolle ◽  
Imogen Foubert ◽  
Jan Hettler ◽  
Erik Verboven ◽  
Arvid Martens ◽  
...  

2015 ◽  
Vol 117 (11) ◽  
pp. 1722-1732 ◽  
Author(s):  
Annelien Rigolle ◽  
Lore Gheysen ◽  
Frédéric Depypere ◽  
Alex Landuyt ◽  
Koen Van Den Abeele ◽  
...  

2016 ◽  
Vol 118 (10) ◽  
pp. 1539-1549 ◽  
Author(s):  
Eriksen Koji Miyasaki ◽  
Valdecir Luccas ◽  
Theo Guenter Kieckbusch

2006 ◽  
Vol 69 (9) ◽  
pp. E478-E487 ◽  
Author(s):  
I. Foubert ◽  
P.A. Vanrolleghem ◽  
O. Thas ◽  
K. Dewettinck

2001 ◽  
Vol 686 ◽  
Author(s):  
William T. Leach ◽  
Jian-Hong Zhu ◽  
John G. Ekerdt ◽  
Supika Mashiro ◽  
Junro Sakai ◽  
...  

AbstractA model is presented that describes silicon nanoparticle deposition in terms of disilane decomposition on silicon dioxide, adatom diffusion, nucleation, nanoparticle growth and coalescence. Total nanoparticle densities are output as a function of time, and segregation of nanoparticles into subsets with common size allows size distributions to be reported for all times during the simulation. Model parameters are fit to low pressure chemical vapor deposition data with disilane pressures ranging from 5×10−4 to 5×10−3 Torr and surface temperatures from 510 to 570 °C. Simulations are used to explain how growth pressure and surface temperature influence incubation time, nanoparticle density and size distribution.


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