DYNAMIC MODELING AND PARAMETER ESTIMATION FOR AN EPDM PROCESS

Rujun Li

ISBN 10: 3838313739 / ISBN 13: 9783838313733

Published by LAP LAMBERT Academic Publishing, 2009

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - A general dynamic model for continuous EPDM polymerization in which crosslinking and gel formation are attributable to reactions between pendant double bonds has been developed. A pseudo- kinetic rate constant method is introduced to construct a moment model for a pseudo-homopolymer that approximates the behavior of the actual terpolymer under long chain and quasi-steady state assumptions. The proposed dynamic model is capable of predicting polydispersities and molecular weight distributions near the gel point. A parameter selection procedure is proposed to determine the kinetic parameters that can be estimated from the limited plant data. The procedure is based on the steady-state parameter output sensitivity matrix. The overall effect of each parameter on the measured outputs is determined using Principal Component Analysis (PCA). The key kinetic parameters determined by the parameter selection procedure were estimated from steady-state data extracted from dynamic plant data, using a newly developed steady state detection tool.

Seller Inventory # 9783838313733

Bibliographic Details

• Title: DYNAMIC MODELING AND PARAMETER ESTIMATION FOR AN EPDM PROCESS
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2009
• Language: English
• ISBN 10: 3838313739
• ISBN 13: 9783838313733
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 14D millimeters 220 millimeters width by 150 millimeters height by 14 millimeters depth
• Weight: 352 grams

About this title

Synopsis

A general dynamic model for continuous EPDM polymerization in which crosslinking and gel formation are attributable to reactions between pendant double bonds has been developed. A pseudo- kinetic rate constant method is introduced to construct a moment model for a pseudo-homopolymer that approximates the behavior of the actual terpolymer under long chain and quasi-steady state assumptions. The proposed dynamic model is capable of predicting polydispersities and molecular weight distributions near the gel point. A parameter selection procedure is proposed to determine the kinetic parameters that can be estimated from the limited plant data. The procedure is based on the steady-state parameter output sensitivity matrix. The overall effect of each parameter on the measured outputs is determined using Principal Component Analysis (PCA). The key kinetic parameters determined by the parameter selection procedure were estimated from steady-state data extracted from dynamic plant data, using a newly developed steady state detection tool.

About the Author

Rujun Li received his BS and MS, both in chemical engineering from Tianjin University in China and PhD, also in chemical engineering from Louisiana State University in the United States. He is now working in Houston, TX, US on developing operator training simulators (OTS) for chemicals and refineries.