A Comprehensive Population Balance Model of Emulsion Polymerisation for PSD & MWD: Comparison to Experimental data

被引：0

作者：

Sweetman, S. J. ^{[1
]}

Immanuel, C. D. ^{[1
]}

Malik, T. I. ^{[2
]}

Emmett, S. ^{[3
]}

Williams, N. ^{[3
]}

机构：

[1] Univ London Imperial Coll Sci Technol & Med, Dept Chem Engn & Chem Technol, Ctr Proc Syst Engn, London SW7 2AZ, England

[2] ICI Wilton Appl Res Grp, Newcastle Upon Tyne, Tyne & Wear, England

[3] ICI Paints, Slough, Berks, England

来源：

18TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING | 2008年 / 25卷

关键词：

Population Balance; Emulsion Polymerisation; PSD; MWD; Validation;

D O I：

暂无

中图分类号：

TQ [化学工业];

学科分类号：

0817 ;

摘要：

A population balance model for emulsion polymerisation has been developed. This model captures PSD and MWD, both of which are key performance indicators for the end latex product. The model employs purely mechanistic kernels and is aimed at maximising predictive capacity. The model is validated against a multi-objective experimental target. The aim is to predict data for PSD, solids, particle number as well as global molecular weight. The experimental system investigated is a vinyl acetate/butyl acrylate copolymerisation with ionic emulsifier and thermal initiator. The predictive capacity is tested by tuning the model to one set of experimental data, then trying to predict results from a further perturbed experiment, with no further tuning. The results of this study indicate that the model is able to capture the main process trends as well as providing an accurate representation of quantitative data.

引用

页码：805 / 810

页数：6

共 50 条

[31] Experimental assessment of a new comprehensive model for single ring infiltration data
Di Prima, Simone
Castellini, Mirko
Abou Najm, Majdi R.
Stewart, Ryan D.
Angulo-Jaramillo, Rafael
Winiarski, Thierry
Lassabatere, Laurent
JOURNAL OF HYDROLOGY, 2019, 573 : 937 - 951
[32] Nonhomogeneous Mixing Population Balance Model for the Prediction of Particle Size Distribution in Large Scale Emulsion Polymerization Reactors
Alexopoulos, Aleck H.
Pladis, Prokopis
Kiparissides, Costas
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2013, 52 (35) : 12285 - 12296
[33] A simulation approach to predict electrostatic coalescence performance of water-in-oil emulsion using population balance model
Su, Xin
Yang, Xiuna
Yu, Ying
Gao, Feng
Wang, Xiaoxuan
SEPARATION SCIENCE AND TECHNOLOGY, 2023, 58 (03) : 538 - 550
[34] Experimental validation of a 2-D population balance model for spray coating processes
Li, Jianfeng
Freireich, Ben J.
Wassgren, Carl R.
Litster, James D.
CHEMICAL ENGINEERING SCIENCE, 2013, 95 : 360 - 365
[35] Experimental and numerical insights into the formation of zirconia nanoparticles: a population balance model for the nonaqueous synthesis
Stolzenburg, Pierre
Garnweitner, Georg
REACTION CHEMISTRY & ENGINEERING, 2017, 2 (03): : 337 - 348
[36] Effect of Surfactant Concentration on the Dispersion Coefficient for the Comparison of Model and Experimental Results in Emulsion Polymerization of Butadiene
Hassaroeieh, Farnoosh Allahdinian
Tabrizi, Farshad Farshchi
Abedini, Hossein
CHEMICAL ENGINEERING COMMUNICATIONS, 2016, 203 (05) : 609 - 618
[37] A comprehensive CFD study on the effect of dense vertical internals on the hydrodynamics and population balance model in bubble columns
Agahzamin, Siamak
Pakzad, Leila
CHEMICAL ENGINEERING SCIENCE, 2019, 193 : 421 - 435
[38] Comparison of a finite element model of a tennis racket to experimental data
Allen, Tom
Haake, Steve
Goodwill, Simon
SPORTS ENGINEERING, 2009, 12 (02) : 87 - 98
[39] Comparison of model predictions to experimental data: Rectifying false impressions
Van Dongen, HPA
AVIATION SPACE AND ENVIRONMENTAL MEDICINE, 2004, 75 (03): : A122 - A124
[40] Multi-body model of a bobsleigh: comparison with experimental data
Braghin, Francesco
Cheli, Federico
Donzelli, Mauro
Melzi, Stefano
Sabbioni, Edoardo
MULTIBODY SYSTEM DYNAMICS, 2011, 25 (02) : 185 - 201

← 1 2 3 4 5 →