1
|
Santoro O, Piola L, Mc Cabe K, Lhost O, Den Dauw K, Fernandez A, Welle A, Maron L, Carpentier JF, Kirillov E. Comonomer-Controlled Synthesis of Long-Chain Branched (LCB)-Polyethylene. Eur Polym J 2022. [DOI: 10.1016/j.eurpolymj.2022.111477] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
|
2
|
Santoro O, Piola L, Mc Cabe K, Lhost O, Den Dauw K, Fernandez A, Welle A, Maron L, Carpentier JF, Kirillov E. Group 12 and 13 metal-alkenyl promoted generation of long-chain branching in metallocene-based polyethylene. Eur Polym J 2022. [DOI: 10.1016/j.eurpolymj.2022.111257] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
|
3
|
Mechanistic study on the metallocene-based tandem catalytic coordinative chain transfer polymerization for the synthesis of highly branched polyolefins. Eur Polym J 2021. [DOI: 10.1016/j.eurpolymj.2021.110454] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
|
4
|
Santoro O, Piola L, Cabe KM, Lhost O, Den Dauw K, Vantomme A, Welle A, Maron L, Carpentier JF, Kirillov E. Long-Chain Branched Polyethylene via Coordinative Tandem Insertion and Chain-Transfer Polymerization Using rac-{EBTHI}ZrCl 2/MAO/Al–alkenyl Combinations: An Experimental and Theoretical Study. Macromolecules 2020. [DOI: 10.1021/acs.macromol.0c01671] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Affiliation(s)
- Orlando Santoro
- Univ Rennes, CNRS, Institut des Sciences Chimiques de Rennes (ISCR), UMR 6226, F-35042 Rennes, France
| | - Lorenzo Piola
- Univ Rennes, CNRS, Institut des Sciences Chimiques de Rennes (ISCR), UMR 6226, F-35042 Rennes, France
| | - Karl Mc Cabe
- Université de Toulouse, CNRS, INSA, UPS, LPCNO, UMR 5215, 135 Avenue de Rangueil, F-31077 Toulouse Cedex 4, France
| | - Olivier Lhost
- Total Research & Technology Feluy, Zone Industrielle Feluy C, B-7181 Seneffe, Belgium
| | - Katty Den Dauw
- Total Research & Technology Feluy, Zone Industrielle Feluy C, B-7181 Seneffe, Belgium
| | - Aurélien Vantomme
- Total Research & Technology Feluy, Zone Industrielle Feluy C, B-7181 Seneffe, Belgium
| | - Alexandre Welle
- Total Research & Technology Feluy, Zone Industrielle Feluy C, B-7181 Seneffe, Belgium
| | - Laurent Maron
- Université de Toulouse, CNRS, INSA, UPS, LPCNO, UMR 5215, 135 Avenue de Rangueil, F-31077 Toulouse Cedex 4, France
| | - Jean-François Carpentier
- Univ Rennes, CNRS, Institut des Sciences Chimiques de Rennes (ISCR), UMR 6226, F-35042 Rennes, France
| | - Evgueni Kirillov
- Univ Rennes, CNRS, Institut des Sciences Chimiques de Rennes (ISCR), UMR 6226, F-35042 Rennes, France
| |
Collapse
|
5
|
Shanbhag S. Mathematical foundations of an ultra coarse-grained slip link model. J Chem Phys 2019; 151:044903. [PMID: 31370523 DOI: 10.1063/1.5111032] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
The master equation underlying ecoSLM, an ultra-coarse-grained slip link model, is presented. In the absence of constraint release, the equilibrium and dynamic properties of the discrete master equation for large chains are found to be virtually identical to the continuous Fokker-Planck equation for Brownian particles diffusing in a potential. A single-chain microscopic model with repulsion between adjacent slip links is described. It is approximately consistent with the quadratic fluctuation potential used in ecoSLM. Mapping ecoSLM with fine-grained slip link models or experiments requires specification of an effective friction as a function of molecular weight. Methods to accomplish this are discussed. Collectively, the mathematical framework described provides an interface for fine-grained slip link models to potentially use ecoSLM for extreme coarse-graining.
Collapse
Affiliation(s)
- Sachin Shanbhag
- Department of Scientific Computing, Florida State University, Tallahassee, Florida 32306, USA
| |
Collapse
|
6
|
Affiliation(s)
- Sachin Shanbhag
- Department of Scientific Computing, Florida State University, Tallahassee, Florida 32306-4120, United States
| |
Collapse
|
7
|
Ahmadi M, Rezaei F, Mortazavi SMM, Entezam M, Stadler FJ. Complex interplay of short- and long-chain branching on thermal and rheological properties of ethylene/α-olefin copolymers made by metallocene catalysts with oscillating ligand structure. POLYMER 2017. [DOI: 10.1016/j.polymer.2017.01.076] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
|
8
|
Martín Martínez ES, Aguilar Méndez MA, Sánchez Solís A, Vieyra H. Thermoplastic biodegradable material elaborated from unripe banana flour reinforced with metallocene catalyzed polyethylene. POLYM ENG SCI 2015. [DOI: 10.1002/pen.23954] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- E. San Martín Martínez
- Laboratorio de Biomateriales, Centro de Investigación en Ciencia Aplicada y Tecnología Avanzada del Instituto Politécnico Nacional, Colonia Irrigación; C.P. 11500 México DF
| | - M. A. Aguilar Méndez
- Laboratorio de Biomateriales, Centro de Investigación en Ciencia Aplicada y Tecnología Avanzada del Instituto Politécnico Nacional, Colonia Irrigación; C.P. 11500 México DF
| | - A. Sánchez Solís
- Departamento de Reología y Mecánica de Materiales; Instituto de Investigaciones en Materiales de la Universidad Nacional Autónoma de México, Ciudad Universitaria; Coyoacán 04510 México DF
| | - H. Vieyra
- Laboratorio de Biomateriales, Centro de Investigación en Ciencia Aplicada y Tecnología Avanzada del Instituto Politécnico Nacional, Colonia Irrigación; C.P. 11500 México DF
| |
Collapse
|
9
|
van Ruymbeke E, Lee H, Chang T, Nikopoulou A, Hadjichristidis N, Snijkers F, Vlassopoulos D. Molecular rheology of branched polymers: decoding and exploring the role of architectural dispersity through a synergy of anionic synthesis, interaction chromatography, rheometry and modeling. SOFT MATTER 2014; 10:4762-4777. [PMID: 24705637 DOI: 10.1039/c4sm00105b] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/03/2023]
Abstract
An emerging challenge in polymer physics is the quantitative understanding of the influence of a macromolecular architecture (i.e., branching) on the rheological response of entangled complex polymers. Recent investigations of the rheology of well-defined architecturally complex polymers have determined the composition in the molecular structure and identified the role of side-products in the measured samples. The combination of different characterization techniques, experimental and/or theoretical, represents the current state-of-the-art. Here we review this interdisciplinary approach to molecular rheology of complex polymers, and show the importance of confronting these different tools for ensuring an accurate characterization of a given polymeric sample. We use statistical tools in order to relate the information available from the synthesis protocols of a sample and its experimental molar mass distribution (typically obtained from size exclusion chromatography), and hence obtain precise information about its structural composition, i.e. enhance the existing sensitivity limit. We critically discuss the use of linear rheology as a reliable quantitative characterization tool, along with the recently developed temperature gradient interaction chromatography. The latter, which has emerged as an indispensable characterization tool for branched architectures, offers unprecedented sensitivity in detecting the presence of different molecular structures in a sample. Combining these techniques is imperative in order to quantify the molecular composition of a polymer and its consequences on the macroscopic properties. We validate this approach by means of a new model asymmetric comb polymer which was synthesized anionically. It was thoroughly characterized and its rheology was carefully analyzed. The main result is that the rheological signal reveals fine molecular details, which must be taken into account to fully elucidate the viscoelastic response of entangled branched polymers. It is important to appreciate that, even optimal model systems, i.e., those synthesized with high-vacuum anionic methods, need thorough characterization via a combination of techniques. Besides helping to improve synthetic techniques, this methodology will be significant in fine-tuning mesoscopic tube-based models and addressing outstanding issues such as the quantitative description of the constraint release mechanism.
Collapse
Affiliation(s)
- E van Ruymbeke
- Bio and Soft Matter, Institute on Condensed Matter and Nano-science, Université catholique de Louvain, Louvain-la-Neuve 1348, Belgium.
| | | | | | | | | | | | | |
Collapse
|
10
|
Abstract
The extreme sensitivity of rheology to the microstructure of polymer melts has prompted the development of “analytical rheology,” which seeks inferring the structure and composition of an unknown sample based on rheological measurements. Typically, this involves the inversion of a model, which may be mathematical, computational, or completely empirical. Despite the imperfect state of existing models, analytical rheology remains a practically useful enterprise. I review its successes and failures in inferring the molecular weight distribution of linear polymers and the branching content in branched polymers.
Collapse
Affiliation(s)
- Sachin Shanbhag
- Department of Scientific Computing, Florida State University, Tallahassee, FL 32306, USA
| |
Collapse
|