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Physicochemical aspects of an industrial process
Author(s) -
Ramos J. G.,
Vasconcellos A. R.,
Luzzi Roberto
Publication year - 1997
Publication title -
international journal of quantum chemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.484
H-Index - 105
eISSN - 1097-461X
pISSN - 0020-7608
DOI - 10.1002/(sici)1097-461x(1997)65:3<277::aid-qua8>3.0.co;2-t
Subject(s) - non equilibrium thermodynamics , statistical physics , statistical ensemble , generalization , computer science , formalism (music) , nonlinear system , theoretical physics , physics , mathematics , thermodynamics , monte carlo method , quantum mechanics , art , mathematical analysis , musical , statistics , canonical ensemble , visual arts
We briefly describe a nonclassical nonlinear thermodynamic theory with statistical foundations. This statistical approach is based on a generalization to arbitrary nonequilibrium conditions of the Gibbs ensemble algorithm, the so‐called nonequilibrium statistical operator method, which can be considered to be encompassed within the scope of Jaynes' predictive statistical physics. This emerging formalism is used to provide a study of the technoindustrial process of thermal stereolithography (or infrared‐laser‐induced rapid prototyping). The experimental results are interpreted and the technical requirements fundamental for the success of the process are pointed out. © 1997 John Wiley & Sons, Inc. Int J Quant Chem 65 : 277–285, 1997