Emulsion co‐ and terpolymerization of styrene, methyl methacrylate, and methyl acrylate. I. Experimental determination and model prediction of composition drift and microstructure in batch reactions

Schoonbrood, Harold A. S.; Eijnatten, Ronald C. P. M. van; Reijen, B. van den; Herk, Alex M. van; German, Anton L.

doi:10.1002/(sici)1099-0518(19960430)34:6<935::aid-pola2>3.3.co;2-x

Cited by 1 publication

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…While it is evident from equation 2 that reactivity ratios are vital to the prediction of polymer composition, they are also essential to the prediction of microstructure, polymerization rate and molecular weight distribution . Many recent multicomponent modelling efforts have successfully employed reactivity ratios estimated from copolymerizations to predict and control terpolymer composition (Urretabizkaia and Asua, 1994;Schoonbrood et a!., 1996;. In each case, the reactivity ratios were estimated using highly reliable and accurate statistical techniques.…”

Section: Introductionmentioning

confidence: 99%

Bulk Terpolymer Composition Prediction from Copolymer Reactivity Ratios

Beauchemin

Dubé

1999

Polymer Reaction Engineering

View full text Add to dashboard Cite

The experiments were carried out to high conversion levels at 50°C with an initiator concentration of 0.071 moi!L (2,2'-azo-(bis)isobutyronitrile) and a chain transfer agent concentration of 0.0058 mol/L (n-dodecyl mercaptan). For each experiment, samples were analyzed for conversion by gravimetry and for composition by proton nuclear magnetic resonance ( 1 H-NMR) spectroscopy.The overall rate of polymerization was greatly influenced by the amount of BA in the feed and to a lesser degree by the ratio of acrylic monomers (BA + MMA) to V Ac in the feed . Using reactivity ratios previously estimated from low conversion bulk copolymerization experiments, the bulk terpolymerization composition data were well predicted by terminal model kinetics up to high conversion levels.

show abstract

Section: Introductionmentioning

confidence: 99%