Mathematical Modeling Of Bulk And Solution Free Radical Polymerization In Tubular Reactors
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Mathematical Modeling of Bulk and Solution Free Radical Polymerization in Tubular Reactors
Author | : Carl John Stevens |
Publisher | : |
Total Pages | : 418 |
Release | : 1988 |
Genre | : Addition polymerization |
ISBN | : |
Experimental Studies and Mathematical Modeling of Aqueous Suspension Polymerization Reactors
Author | : Georgios A. Kalfas |
Publisher | : |
Total Pages | : 670 |
Release | : 1992 |
Genre | : Polymerization |
ISBN | : |
Mathematical Modeling of Free Radical and Olefin Polymerization Reactors
Author | : Jae Youn Kim |
Publisher | : |
Total Pages | : 596 |
Release | : 1994 |
Genre | : Addition polymerization |
ISBN | : |
Polymer Yearbook
Author | : Richard A. Pethrick |
Publisher | : CRC Press |
Total Pages | : 472 |
Release | : 1991 |
Genre | : Psychology |
ISBN | : 9783718650750 |
This volume contains reviews on state-of-the-art Japanese research presented in the annual Spring and Autumn meetings of the Japanese Polymer Science Society. The aim of this section is to make information on the progress of Japanese Polymer Science, and on topics of current interest to polymer scientists in Japan, more easily available worldwide.
Control of Polymerization Reactors
Author | : Joseph Schork |
Publisher | : Routledge |
Total Pages | : 374 |
Release | : 2017-09-20 |
Genre | : Science |
ISBN | : 1351457942 |
This reference and text provides an in-depth description of developments in control techniques and their application to polymerization reactors and offers important introductory background information on polymerization reaction engineering.;Discussing modelling, identification, linear, nonlinear and multivariable schemes, Control of Polymerization Reactors: presents all available techniques that can be used to control reactors properly for optimal performance; shows how to manipulate pivotal variables that affect reactor control; examines methods for deriving dynamic process models to improve reactor efficiency; reviews reactor control problems and points out end-use properties; supplies methods for measuring process variables, and ways to estimate variables that can't be measured; and explains how single-input, single-output (SISO) strategies can be effectively used for control.;Filled with illustrative examples to clarify concepts, including more than 730 figures, tables and equations, Control of Polymerization Reactors is intended for use as a reference for chemical, process development, process design, research and development, control systems, and polymer engineers; and polymer chemists and physicists; as well as a text for upper-level undergraduate and graduate students in polymerization reactor control courses.
Numerical Modeling and Simulation of Polymerization Reactions in Coiled Flow Inverters
Author | : Dhiraj Kumar Garg |
Publisher | : |
Total Pages | : 0 |
Release | : 2014 |
Genre | : |
ISBN | : |
This thesis aimed at improving the modeling and simulation of free radical polymerization (FRP) in batch as well as in flow reactors. A generalized explicit analytical solution (AS) was obtained in case of variable volume, bulk/solution polymerization, homogeneous and isothermal batch reactor. The reaction steps included initiation, propagation, transfer to monomer, transfer to solvent, transfer to chain transfer agent (CTA), termination by combination and disproportionation. Different models of gel, glass and cage effects were also implemented explicitly. AS was validated against numerical solutions as well as published experimental data and was found in good agreement. Furthermore, its applicability was extended to conditions for which AS was not derived, i.e. non-isothermal conditions. The versatility and flexibility of AS over the complete range of monomer conversion were thus demonstrated. Then, to broaden its applications range even more, AS was used in CFD simulations. A new and simple transformation was proposed to make kinetic rate coefficients dimensionless in terms of concentration. This enabled chemical data to be fed in molar form to CFD modeling. It also enabled easy coding and debugging by keeping the original form of generation terms intact. The results were found to be improved after validation against experimental data. This transformation was then used for evaluating three tubula microreactor geometries, namely straight tube reactor (STR), coiled tube reactor (CTR) and coil flow inverter reactor (CFIR), under different feed conditions (unmixed or perfectly mixed) at very low Reynolds numbers (