High temperature copolymerization of styrene/ethyl acrylate: Reactivity ratio estimation in bulk and solution

2004 ◽  
Vol 23 (3) ◽  
pp. 186-195 ◽  
Author(s):  
Nahla Sahloul ◽  
Alexander Penlidis
Keyword(s):  
High Temperature ◽  
Ethyl Acrylate ◽  
Reactivity Ratio ◽  
Ratio Estimation

scholarly journals Solution copolymerization of ethylene and propylene by salicylaldiminato-derived [O-NS]TiCl3/MAO catalysts: synthesis, characterization and reactivity ratio estimation

RSC Advances ◽  
2017 ◽  
Vol 7 (17) ◽  
pp. 10175-10182
Author(s):  
Zhen Yao ◽  
Da-Feng Ma ◽  
Zhi-xian Xiao ◽  
Wen-long Yang ◽  
Yu-Xia Tu ◽  
...  
Keyword(s):  
Reactivity Ratio ◽  
Toluene Solution ◽  
Ratio Estimation ◽  
Co Catalyst

Salicylaldiminato-derived [O-NS]TiCl3 is used in the copolymerization of ethylene and propylene in toluene solution with methylaluminoxane as the co-catalyst.

scholarly journals Design, Preparation, and Evaluation of a Novel Elastomer with Bio-Based Diethyl Itaconate Aiming at High-Temperature Oil Resistance

Polymers ◽  
2019 ◽  
Vol 11 (11) ◽  
pp. 1897
Author(s):  
Hui Yang ◽  
Haijun Ji ◽  
Xinxin Zhou ◽  
Weiwei Lei ◽  
Liqun Zhang ◽  
...  
Keyword(s):  
High Temperature ◽  
Butyl Acrylate ◽  
Glycidyl Methacrylate ◽  
Average Molecular Weight ◽  
Ethyl Acrylate ◽  
Number Average Molecular Weight ◽  
Elongation At Break ◽  
Oil Resistance ◽  
Monomer Ratio ◽  
Preparation And Evaluation

A novel elastomer poly(diethyl itaconate-co-butyl acrylate-co-ethyl acrylate-co-glycidyl methacrylate) (PDEBEG) was designed and synthesized by redox emulsion polymerization based on bio-based diethyl itaconate, butyl acrylate, ethyl acrylate, and glycidyl methacrylate. The PDEBEG has a number average molecular weight of more than 200,000 and the yield is up to 96%. It is easy to control the glass transition temperature of the PDEBEG, which is ranged from −25.2 to −0.8 °C, by adjusting the monomer ratio. We prepared PDEBEG/CB composites by mixing PDEBEG with carbon black N330 and studied the oil resistance of the composites. The results show that the tensile strength and the elongation at break of the composites with 10 wt% diethyl itaconate can reach up to 14.5 MPa and 305%, respectively. The mechanical properties and high-temperature oil resistance of the composites are superior to that of the commercially available acrylate rubber AR72LS.

scholarly journals Making the Most of Parameter Estimation: Terpolymerization Troubleshooting Tips

Processes ◽  
2019 ◽  
Vol 7 (7) ◽  
pp. 444 ◽  
Author(s):  
Scott ◽  
Gabriel ◽  
Dubé ◽  
Penlidis
Keyword(s):  
Parameter Estimation ◽  
Case Studies ◽  
Ternary Systems ◽  
Reactivity Ratio ◽  
Prediction Performance ◽  
Reactivity Ratios ◽  
Ratio Estimation ◽  
New Material ◽  
Future Work ◽  
Good Agreement

Multi-component polymers can provide many advantages over their homopolymer counterparts. Terpolymers are formed from the combination of three unique monomers, thus creating a new material that will exhibit desirable properties based on all three of the original comonomers. To ensure that all three comonomers are incorporated (and to understand and/or predict the degree of incorporation of each comonomer), accurate reactivity ratios are vital. In this study, five terpolymerization studies from the literature are revisited and the ‘ternary’ reactivity ratios are re-estimated. Some recent studies have shown that binary reactivity ratios (that is, from the related copolymer systems) do not always apply to ternary systems. In other reports, binary reactivity ratios are in good agreement with terpolymer data. This investigation allows for the comparison between previously determined binary reactivity ratios and newly estimated ‘ternary’ reactivity ratios for several systems. In some of the case studies presented herein, reactivity ratio estimation directly from terpolymerization data is limited by composition restrictions or ill-conditioned systems. In other cases, we observe similar or improved prediction performance (for ternary systems) when ‘ternary’ reactivity ratios are estimated directly from terpolymerization data (compared to the traditionally used binary reactivity ratios). In order to demonstrate the advantages and challenges associated with ‘ternary’ reactivity ratio estimation, five case studies are presented (with examples and counter-examples) and troubleshooting suggestions are provided to inform future work.

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