scholarly journals Polyvinylnorbornene Gas Separation Membranes

Polymers ◽  
2019 ◽  
Vol 11 (4) ◽  
pp. 704 ◽  
Author(s):  
Wouter Dujardin ◽  
Cédric Van Goethem ◽  
Julian A. Steele ◽  
Maarten Roeffaers ◽  
Ivo F. J. Vankelecom ◽  
...  
Keyword(s):  
Gas Separation ◽  
Chemical Resistance ◽  
Fine Tuning ◽  
Gas Separations ◽  
Separation Performance ◽  
Separation Membranes ◽  
Gas Separation Membranes ◽  
Addition Polymerization ◽  
Wide Range ◽  
Gas Separation Performance

Polynorbornenes are already used in a wide range of applications. They are also considered materials for polymer gas separation membranes because of their favorable thermal and chemical resistance, rigid backbone and varied chemistry. In this study, the use of 5-vinyl-2-norbornene (VNB), a new monomer in the field of gas separations, is investigated by synthesizing two series of polymers via a vinyl-addition polymerization. The first series investigates the influence of the VNB content on gas separation in a series of homo and copolymers with norbornene. The second series explores the influence of the crosslinking of polyvinylnorbornene (pVNB) on gas separation. The results indicate that while crosslinking had little effect, the gas separation performance could be fine-tuned by controlling the VNB content. As such, this work demonstrates an interesting way to significantly extend the fine-tuning possibilities of polynorbornenes for gas separations.

Plasticization resistant crosslinked polyurethane gas separation membranes

2016 ◽  
Vol 4 (44) ◽  
pp. 17431-17439 ◽  
Author(s):  
Ali Pournaghshband Isfahani ◽  
Behnam Ghalei ◽  
Kazuki Wakimoto ◽  
Rouhollah Bagheri ◽  
Easan Sivaniah ◽  
...  
Keyword(s):  
Gas Separation ◽  
Separation Performance ◽  
Separation Membranes ◽  
Gas Separation Membranes ◽  
High Separation ◽  
Separation Conditions

We generate crosslinked PU membranes that retain high separation performance and provide enhanced plasticization resistance under realistic industrial separation conditions.

scholarly journals Recent Progress in the Engineering of Polymeric Membranes for CO2 Capture from Flue Gas

Membranes ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. 365
Author(s):  
Yang Han ◽  
Yutong Yang ◽  
W. S. Winston Ho
Keyword(s):  
Gas Separation ◽  
Co2 Capture ◽  
Flue Gas ◽  
Large Scale ◽  
Recent Progress ◽  
Scale Up ◽  
Polymeric Membranes ◽  
Separation Performance ◽  
Separation Membranes ◽  
Gas Separation Membranes

CO2 capture from coal- or natural gas-derived flue gas has been widely considered as the next opportunity for the large-scale deployment of gas separation membranes. Despite the tremendous progress made in the synthesis of polymeric membranes with high CO2/N2 separation performance, only a few membrane technologies were advanced to the bench-scale study or above from a highly idealized laboratory setting. Therefore, the recent progress in polymeric membranes is reviewed in the perspectives of capture system energetics, process synthesis, membrane scale-up, modular fabrication, and field tests. These engineering considerations can provide a holistic approach to better guide membrane research and accelerate the commercialization of gas separation membranes for post-combustion carbon capture.

Electrophoretic Deposition of Zeolite 5A for Use in Supported Gas Separation Membranes

2006 ◽  
Vol 314 ◽  
pp. 39-44 ◽  
Author(s):  
Wendi S. Sweet ◽  
Jan B. Talbot ◽  
Richard Higgins
Keyword(s):  
Gas Separation ◽  
Electrophoretic Deposition ◽  
Gas Separations ◽  
Deposit Morphology ◽  
Supported Membranes ◽  
Polyethylene Imine ◽  
Separation Membranes ◽  
Gas Separation Membranes ◽  
Zeolite 5A ◽  
Post Deposition

Electrophoretic deposition was investigated as a procedure for preparing supported membranes of zeolite 5A for use in gas separations. In particular, the addition of polyethylene imine (PEI) to the non-aqueous bath was explored as means of improving gas separation selectivity, deposit morphology, and adhesion. It was found that the addition of PEI improved all of these qualities. Post-deposition treatments such as baking and coating with polystyrene were also studied.

scholarly journals Discovery of Innovative Polymers for Next-Generation Gas-Separation Membranes using Interpretable Machine Learning

2021 ◽  
Author(s):  
Jason Yang ◽  
Lei Tao ◽  
Jinlong He ◽  
Jeffrey McCutcheon ◽  
Ying Li
Keyword(s):  
Machine Learning ◽  
Polymer Membranes ◽  
Polymeric Membranes ◽  
Gas Separations ◽  
Separation Performance ◽  
High Fidelity ◽  
Environmental Implications ◽  
Separation Membranes ◽  
Gas Separation Membranes ◽  
Dynamics Simulations

Polymer membranes perform innumerable separations with far-reaching environmental implications. Despite decades of research on membrane technologies, design of new membrane materials remains a largely Edisonian process. To address this shortcoming, we demonstrate a generalizable, accurate machine-learning (ML) implementation for the discovery of innovative polymers with ideal separation performance. Specifically, multitask ML models are trained on available experimental data to link polymer chemistry to gas permeabilities of He, H2, O2, N2, CO2, and CH4. We interpret the ML models and extract chemical heuristics for membrane design, through Shapley Additive exPlanations (SHAP) analysis. We then screen over nine million hypothetical polymers through our models and identify thousands of candidates that lie well above current performance upper bounds. Notably, we discover hundreds of never-before-seen ultrapermeable polymer membranes with O2 and CO2 permeability greater than 104 and 105 Barrer, respectively, orders of magnitude higher than currently available polymeric membranes. These hypothetical polymers are capable of overcoming undesirable trade-off relationship between permeability and selectivity, thus significantly expanding the currently limited library of polymer membranes for highly efficient gas separations. High-fidelity molecular dynamics simulations confirm the ML-predicted gas permeabilities of the promising candidates, which suggests that many can be translated to reality.

Comparing gas separation performance between all known zeolites and their zeolitic imidazolate framework counterparts

2016 ◽  
Vol 45 (1) ◽  
pp. 216-225 ◽  
Author(s):  
Paula Gómez-Álvarez ◽  
Said Hamad ◽  
Maciej Haranczyk ◽  
A. Rabdel Ruiz-Salvador ◽  
Sofia Calero
Keyword(s):  
Gas Separation ◽  
Gas Separations ◽  
Separation Performance ◽  
Zeolitic Imidazolate Framework ◽  
Gas Separation Performance

Candidate structures for environmental and industrial gas separations. No correlation between zeolites and their respective Zeolitic Imidazolate framework counterparts.

scholarly journals Tailoring the Thermal and Mechanical Properties of PolyActiveTM Poly(Ether-Ester) Multiblock Copolymers Via Blending with CO2-Phylic Ionic Liquid

Polymers ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 890 ◽  
Author(s):  
Martina Klepić ◽  
Alessio Fuoco ◽  
Marcello Monteleone ◽  
Elisa Esposito ◽  
Karel Friess ◽  
...  
Keyword(s):  
Mechanical Properties ◽  
Gas Separation ◽  
Thermal And Mechanical Properties ◽  
Polybutylene Terephthalate ◽  
Topographic Analysis ◽  
Separation Membranes ◽  
Gas Separation Membranes ◽  
Wide Range ◽  
Ether Ester ◽  
Dense Films

The last decade has seen an exponential increase in the number of studies focused on novel applications for ionic liquids (ILs). Blends of polymers with ILs have been proposed for use in fuel cells, batteries, gas separation membranes, packaging, etc., each requiring a set of specific physico-chemical properties. In this work, blends of four grades of the poly(ether-ester) multiblock copolymer PolyActive™ with different concentrations of the CO2-philic 1-butyl-3-methylimidazolium bis(trifluoromethylsulfonyl)imide [BMIM][Tf2N] were prepared in the form of dense films by a solution casting and solvent evaporation method, in view of their potential use as gas separation membranes for CO2 capture. Depending on the polymer structure, the material properties could be tailored over a wide range by means of the IL content. All samples were dry-feeling, highly elastic self-standing dense films. The microstructure of the blends was studied by scanning electron microscopy with a backscattering detector, able to observe anisotropy in the sample, while a special topographic analysis mode allowed the visualization of surface roughness. Samples with the longest poly(ethylene oxide terephthalate) (PEOT) blocks were significantly more anisotropic than those with shorter blocks, and this heterogeneity increased with increasing IL content. DSC analysis revealed a significant decrease in the melting enthalpy and melting temperature of the crystalline PEOT domains with increasing IL content, forming an amorphous phase with Tg ≈ −50 °C, whereas the polybutylene terephthalate (PBT) phase was hardly affected. This indicates better compatibility of the IL with the polyether phase than the polyester phase. Young’s modulus was highest and most IL-dependent for the sample with the highest PEOT content and PEOT block length, due to its high crystallinity. Similarly, the sample with short PEOT blocks and high PBT content also showed a high modulus and tensile strength, but much lower maximum elongation. This study provides a detailed discussion on the correlation between the morphological, thermal, and mechanical properties of these PolyActive™/[BMIM][Tf2N] blends.

scholarly journals Discovery of Innovative Polymers for Next-Generation Gas-Separation Membranes using Interpretable Machine Learning

2021 ◽  
Author(s):  
Jason Yang ◽  
Lei Tao ◽  
Jinlong He ◽  
Jeffrey R. McCutcheon ◽  
Ying Li
Keyword(s):  
Machine Learning ◽  
Polymer Membranes ◽  
Upper Bounds ◽  
Gas Separations ◽  
Separation Performance ◽  
High Fidelity ◽  
Environmental Implications ◽  
Separation Membranes ◽  
Gas Separation Membranes ◽  
Dynamics Simulations

Abstract Polymer membranes perform innumerable separations with far-reaching environmental implications. Despite decades of research on membrane technologies, design of new membrane materials remains a largely Edisonian process. To address this shortcoming, we demonstrate a generalizable, accurate machine-learning (ML) implementation for the discovery of innovative polymers with ideal separation performance. Specifically, multitask ML models are trained on available experimental data to link polymer chemistry to gas permeabilities of He, H2, O2, N2, CO2, and CH4. We interpret the ML models and extract chemical heuristics for membrane design, through Shapley Additive exPlanations (SHAP) analysis. We then screen over nine million hypothetical polymers through our models and identify thousands of candidates that lie well above current performance upper bounds. Notably, we discover hundreds of never-before-seen ultrapermeable polymer membranes with O2 and CO2 permeability greater than 104 and 105 Barrer, respectively. These hypothetical polymers are capable of overcoming undesirable trade-off relationship between permeability and selectivity, thus significantly expanding the currently limited library of polymer membranes for highly efficient gas separations. High-fidelity molecular dynamics simulations confirm the ML-predicted gas permeabilities of the promising candidates, which suggests that many can be translated to reality.

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