Dynamic modeling of SBR emulsion polymerization reactors refrigerated by thermosyphons
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The role of heat pipes in intensified unit operations
2013, Applied Thermal EngineeringCitation Excerpt :Polymerisation has attracted applications of heat pipes. In the manufacturer of styrene/butadiene rubber, cold emulsion polymerisation in reactor trains has employed ammonia thermosyphons (heat pipes operating with gravity return of the condensate) to keep the reactor at 5 °C and under control by removing the exothermic heat of reaction [19]. In the example of 15 stirred tank reactors in series, it was shown that with thermosyphons used for heat removal and isothermalisation, a simple proportional controller was sufficient to keep reactor temperature fully under control.
Styrene-butadiene rubber (SBR) production by emulsion polymerization: Dynamic modeling and intensification of the process
2012, Chemical Engineering JournalCitation Excerpt :In the article by Delfa et al. [9], input characteristics involved concentrations of the initiator, activator and chain-transfer agent, while the output properties describing the produced polymer were latex solid content, polydispersity and Mooney viscosity of the produced SBR. Sayer et al. [10] presented the interesting combination of the first-principle based model with the method of ANNs while focusing on the dynamics of thermosyphons refrigerating the reactor train. This model was validated by industrial data and designed for the on-line implementation in the control of the 15 reactors train for the SBR production.
Use of bifurcation analysis for development of nonlinear models for control applications
2008, Chemical Engineering ScienceCitation Excerpt :Another possible alternative is using a fundamental model to describe the process characteristics, and utilizing a nonlinear empirical model to represent the residual between the plant and the model. In the last decade, the hybrid neural modeling approach has been proved to be an effective alternative for modeling complex chemical processes (Bhat and McAvoy, 1990; Willis et al., 1991; Psichogios and Ungar, 1991, 1992; Thompson and Kramer, 1994; Sayer et al., 1997; Cubillos and Lima, 1998). This is particularly true in the polymerization field (see, for examples, Doyle III et al., 2003; Nogueira et al., 2003; Chang et al., 2007).
Control strategies for complex chemical processes. Applications in polymerization processes
2003, Computers and Chemical EngineeringSimulation of effects of reactive impurities on propylene polymerization in loop reactors through generation function technique
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