DocumentCode
2750271
Title
Bayesian Material Separation Model with Applications to Recycling
Author
Gutowski, Timothy ; Dahmus, Jeffrey ; Albino, D. ; Branham, Matthew
Author_Institution
Massachusetts Inst. of Technol. Cambridge, Cambridge
fYear
2007
fDate
7-10 May 2007
Firstpage
233
Lastpage
238
Abstract
In this paper we present a probabilistic model of material separation processes. The model, based on Bayes´ Theorem can estimate the performance of any binary separation process. Given input material data and the probabilistic characteristics of the separation process, the model estimates the masses and concentrations of the output streams. Applications of this model to separation processes, including those used in material recycling, are demonstrated.
Keywords
Bayes methods; materials; probability; recycling; separation; Bayesian material separation model; binary separation process; material recycling; probabilistic model; recycling applications; Bayesian methods; Equations; Estimation theory; Materials testing; Mathematical model; Mechanical engineering; Performance analysis; Purification; Recycling; Separation processes; Bayes´ Theorem; Material Purification; Material Separation; Recycling;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronics & the Environment, Proceedings of the 2007 IEEE International Symposium on
Conference_Location
Orlando, FL
ISSN
1095-2020
Print_ISBN
1-4244-0861-X
Type
conf
DOI
10.1109/ISEE.2007.369400
Filename
4222889
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