Tendency Modelling Of Desublimator For Optimization And Control

The study was devoted to test the effect of the process variables on the desublimator(cold trap) efficiency under vacuum technique. Since several intermediate processparameters could not be measured or inspected, then it was necessary to predict them bythe gray model. Although the novel approach (te...

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Main Author: Ghanm. M. Alwan
Format: Article
Language:English
Published: Unviversity of Technology- Iraq 2008-06-01
Series:Engineering and Technology Journal
Subjects:
Online Access:https://etj.uotechnology.edu.iq/article_26631_4ba9c604ee0d72c425b804cc2d165215.pdf
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author Ghanm. M. Alwan
author_facet Ghanm. M. Alwan
author_sort Ghanm. M. Alwan
collection DOAJ
description The study was devoted to test the effect of the process variables on the desublimator(cold trap) efficiency under vacuum technique. Since several intermediate processparameters could not be measured or inspected, then it was necessary to predict them bythe gray model. Although the novel approach (tendency model) for the desublimator wasless accurate than the detailed one, but it showed agreement results when compared withthe experimental data. The accuracy of model could be increased by increasing theprocess variable monitors. The tendency model was more effective to deal with the lackof knowledge about the process when implemented with the optimal control system.
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spelling doaj.art-f63b2b7e73d54e119fc8148674a0d66d2024-02-04T17:53:40ZengUnviversity of Technology- IraqEngineering and Technology Journal1681-69002412-07582008-06-0126664865910.30684/etj.29.6.626631Tendency Modelling Of Desublimator For Optimization And ControlGhanm. M. AlwanThe study was devoted to test the effect of the process variables on the desublimator(cold trap) efficiency under vacuum technique. Since several intermediate processparameters could not be measured or inspected, then it was necessary to predict them bythe gray model. Although the novel approach (tendency model) for the desublimator wasless accurate than the detailed one, but it showed agreement results when compared withthe experimental data. The accuracy of model could be increased by increasing theprocess variable monitors. The tendency model was more effective to deal with the lackof knowledge about the process when implemented with the optimal control system.https://etj.uotechnology.edu.iq/article_26631_4ba9c604ee0d72c425b804cc2d165215.pdfdesublimatortendency modeloptimizationcontrol
spellingShingle Ghanm. M. Alwan
Tendency Modelling Of Desublimator For Optimization And Control
Engineering and Technology Journal
desublimator
tendency model
optimization
control
title Tendency Modelling Of Desublimator For Optimization And Control
title_full Tendency Modelling Of Desublimator For Optimization And Control
title_fullStr Tendency Modelling Of Desublimator For Optimization And Control
title_full_unstemmed Tendency Modelling Of Desublimator For Optimization And Control
title_short Tendency Modelling Of Desublimator For Optimization And Control
title_sort tendency modelling of desublimator for optimization and control
topic desublimator
tendency model
optimization
control
url https://etj.uotechnology.edu.iq/article_26631_4ba9c604ee0d72c425b804cc2d165215.pdf
work_keys_str_mv AT ghanmmalwan tendencymodellingofdesublimatorforoptimizationandcontrol