کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
173944 | 458618 | 2008 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Modeling of the mixing of monodisperse particles using a stationary DEM-based Markov process
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی شیمی
مهندسی شیمی (عمومی)
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Modeling of the mixing of monodisperse particles using a stationary DEM-based Markov process Modeling of the mixing of monodisperse particles using a stationary DEM-based Markov process](/preview/png/173944.png)
چکیده انگلیسی
This paper provides a discussion on the modeling of granular mixing using Markov chain theory. Previous papers on this topic are either based on restrictive underlying assumptions about the flow structure or are limited to a small number of states. In this paper, a generalized approach for the construction of a multidimensional state space first-order Markov chain that represents the mixing of monodisperse particles is introduced. The transition probability matrix is computed directly using results obtained from a discrete element model. This work shows that, if accurate measurements of the state of the system are available, the associated Markov operator leads to a good estimate of the particle dynamics in the system.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Chemical Engineering - Volume 32, Issue 6, June 2008, Pages 1334–1341
Journal: Computers & Chemical Engineering - Volume 32, Issue 6, June 2008, Pages 1334–1341
نویسندگان
Jocelyn Doucet, Nicolas Hudon, François Bertrand, Jamal Chaouki,