System Identification for Experimental Study for Polymerization Catalyst Reaction in Fluidized Bed

Ibrehem, Ahmmed S.

doi:10.9767/bcrec.6.2.874.137-146

Bull. Chem. React. Eng. Catal.

2011

DOI: 10.9767/bcrec.6.2.874.137-146

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System Identification for Experimental Study for Polymerization Catalyst Reaction in Fluidized Bed

Ahmmed S. Ibrehem

Abstract:
In this work, system identification method is used to capture the reactor characteristics of production rate of polyethylene (PE) based on published experimental data. The identification method is used to measure the percentage effect on the production rate of PE by measuring the effect of input factors of temperature of reaction, hydrogen concentration, and [Al]/[Ti] molar catalyst ratio. Temperature of reaction has big effects equal 52.4 % on the output of the system and 47.6 % on interaction of the syste… Show more

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Cited by 2 publications

References 15 publications

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Proposed Mathematical Model to Study and Analyze the Relationship Between Operational Flexibility Dimensions and Hospital Performance

Alolayyan

Ibrahem

2021

Glob J Flex Syst Manag

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The objective of this work is to create an active interaction between real and theoretical results. Study design was a cross-sectional study, and the opinion of 100 leaders against the hospital operation was used. The data sources were primary data collected from the leaders in King Abdullah University Hospital (KAUH)-Jordan. The findings show the system represents the input variable (input flexibility, process flexibility and outcomes flexibility) as well as hospital performance as production. Depending on the actual results, design identification system assessed the effects of input flexibility, process flexibility and outcomes flexibility against hospital performance to be 68.9%, 68.9% and 77%, respectively. In conclusions, a computational mathematical model that was derived based on factual data has a high accuracy to optimize the active input parameters of input flexibility, process flexibility and outcomes flexibility to be equal 84.3%, 85.6% and 95.5%, respectively, to produce optimum outcomes 93%. However, more studies are needed to confirm the outcomes of this survey using this active technique.

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Proposed Mathematical Model to Study and Analyze the Relationship Between Operational Flexibility Dimensions and Hospital Performance

Alolayyan

Ibrahem

2021

Glob J Flex Syst Manag

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System Identification in Modified Diabetic Model for Nanochip Controller

Yusof

Som

Ibrehem

et al. 2014

AMR

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Keeping pace with emerging technologies, artificial pancreas is highly recommended to be used as an alternate way to solve blood glucose level problem for Type 1 diabetes patients. It is aimed to develop an embedded nanochip controller in order to regulate the blood glucose level within the safety range. However, due to the lack of effectiveness in algorithm, the blood glucose level in patients body is still not achieving the optimum level. The function of the algorithm, which is the heart of the device, needs to be analyzed in order to ensure the device can be fully utilized. Therefore, system identification technique is applied with objective to study the interrelation among all parameters and variables in the modified diabetic model. As a consequence, the results derived from the method, give us better comprehension in determining which parameters give higher effects on the glucose and insulin system. Thereupon, the main factors in the system are able to be recognized through system identification technique. In this study, parameter tmax_I gave highest effect percentage with 66.89% at interaction with insulin,I. On the whole, system identification is very useful to see clear picture of interrelation and correlation in glucose and insulin system.

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System Identification for Experimental Study for Polymerization Catalyst Reaction in Fluidized Bed

Cited by 2 publications

References 15 publications

Proposed Mathematical Model to Study and Analyze the Relationship Between Operational Flexibility Dimensions and Hospital Performance

Proposed Mathematical Model to Study and Analyze the Relationship Between Operational Flexibility Dimensions and Hospital Performance

System Identification in Modified Diabetic Model for Nanochip Controller

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