Matches in SemOpenAlex for { <https://semopenalex.org/work/W2081090218> ?p ?o ?g. }
- W2081090218 endingPage "46" @default.
- W2081090218 startingPage "39" @default.
- W2081090218 abstract "Membrane separation of CO2 from natural gas components is known to be more efficient at high feed gas pressure. However, one of the main challenges of high pressure operations is penetrant – induced plasticization phenomenon. An approximate model for predicting the plasticization pressure was developed using the fundamental theory of dual – mode sorption model and the total immobilization assumption of the penetrant concentration in the Langmuir sorption site. The assumption reduces the permeability – pressure relationship to system of quadratic equations whose coefficients were used to derive an expression for estimating the plasticization pressure. The resulting expression showed that, the plasticization pressure is a multivariable function of polymer properties. The support vector (SVR) algorithm was then used to correlate between the plasticization pressure, and the fractional free volume and the glass transition temperature of the polymers. Results obtained revealed that, with a careful combination of these two properties, the SVR can be successfully employed to predict the plasticization pressure of membrane used in high pressure CO2 removal from natural gas. The correlation coefficient for the training and the testing are 0.8837 and 0.9433, respectively." @default.
- W2081090218 created "2016-06-24" @default.
- W2081090218 creator A5009096022 @default.
- W2081090218 creator A5023484800 @default.
- W2081090218 creator A5068279623 @default.
- W2081090218 creator A5068335572 @default.
- W2081090218 creator A5078915982 @default.
- W2081090218 creator A5082672268 @default.
- W2081090218 date "2015-04-01" @default.
- W2081090218 modified "2023-09-25" @default.
- W2081090218 title "Prediction of plasticization pressure of polymeric membranes for CO2 removal from natural gas" @default.
- W2081090218 cites W1965143537 @default.
- W2081090218 cites W1967119412 @default.
- W2081090218 cites W1970388943 @default.
- W2081090218 cites W1972103123 @default.
- W2081090218 cites W1972126345 @default.
- W2081090218 cites W1973410356 @default.
- W2081090218 cites W1974573146 @default.
- W2081090218 cites W1978871792 @default.
- W2081090218 cites W1979674499 @default.
- W2081090218 cites W1982983429 @default.
- W2081090218 cites W1986781914 @default.
- W2081090218 cites W1995948215 @default.
- W2081090218 cites W1996131703 @default.
- W2081090218 cites W1996226026 @default.
- W2081090218 cites W2002988217 @default.
- W2081090218 cites W2010565779 @default.
- W2081090218 cites W2018575294 @default.
- W2081090218 cites W2021872851 @default.
- W2081090218 cites W2023529511 @default.
- W2081090218 cites W2027887362 @default.
- W2081090218 cites W2035561449 @default.
- W2081090218 cites W2039232312 @default.
- W2081090218 cites W2041532526 @default.
- W2081090218 cites W2057367836 @default.
- W2081090218 cites W2067892221 @default.
- W2081090218 cites W2072611698 @default.
- W2081090218 cites W2075717509 @default.
- W2081090218 cites W2080611109 @default.
- W2081090218 cites W2087347434 @default.
- W2081090218 cites W2094270722 @default.
- W2081090218 cites W2094982555 @default.
- W2081090218 cites W2113510127 @default.
- W2081090218 cites W2115523955 @default.
- W2081090218 cites W2120830011 @default.
- W2081090218 cites W2128767296 @default.
- W2081090218 cites W2131638996 @default.
- W2081090218 cites W2136560205 @default.
- W2081090218 cites W2166713507 @default.
- W2081090218 cites W2169390375 @default.
- W2081090218 cites W2324574439 @default.
- W2081090218 cites W4236993164 @default.
- W2081090218 cites W4239510810 @default.
- W2081090218 doi "https://doi.org/10.1016/j.memsci.2015.01.039" @default.
- W2081090218 hasPublicationYear "2015" @default.
- W2081090218 type Work @default.
- W2081090218 sameAs 2081090218 @default.
- W2081090218 citedByCount "42" @default.
- W2081090218 countsByYear W20810902182016 @default.
- W2081090218 countsByYear W20810902182017 @default.
- W2081090218 countsByYear W20810902182018 @default.
- W2081090218 countsByYear W20810902182019 @default.
- W2081090218 countsByYear W20810902182020 @default.
- W2081090218 countsByYear W20810902182021 @default.
- W2081090218 countsByYear W20810902182022 @default.
- W2081090218 countsByYear W20810902182023 @default.
- W2081090218 crossrefType "journal-article" @default.
- W2081090218 hasAuthorship W2081090218A5009096022 @default.
- W2081090218 hasAuthorship W2081090218A5023484800 @default.
- W2081090218 hasAuthorship W2081090218A5068279623 @default.
- W2081090218 hasAuthorship W2081090218A5068335572 @default.
- W2081090218 hasAuthorship W2081090218A5078915982 @default.
- W2081090218 hasAuthorship W2081090218A5082672268 @default.
- W2081090218 hasConcept C121332964 @default.
- W2081090218 hasConcept C122865956 @default.
- W2081090218 hasConcept C127413603 @default.
- W2081090218 hasConcept C150394285 @default.
- W2081090218 hasConcept C159985019 @default.
- W2081090218 hasConcept C178790620 @default.
- W2081090218 hasConcept C185592680 @default.
- W2081090218 hasConcept C188027245 @default.
- W2081090218 hasConcept C192562407 @default.
- W2081090218 hasConcept C41625074 @default.
- W2081090218 hasConcept C42360764 @default.
- W2081090218 hasConcept C50670333 @default.
- W2081090218 hasConcept C521977710 @default.
- W2081090218 hasConcept C55493867 @default.
- W2081090218 hasConcept C58445606 @default.
- W2081090218 hasConcept C58968531 @default.
- W2081090218 hasConcept C59427239 @default.
- W2081090218 hasConcept C97355855 @default.
- W2081090218 hasConceptScore W2081090218C121332964 @default.
- W2081090218 hasConceptScore W2081090218C122865956 @default.
- W2081090218 hasConceptScore W2081090218C127413603 @default.
- W2081090218 hasConceptScore W2081090218C150394285 @default.
- W2081090218 hasConceptScore W2081090218C159985019 @default.
- W2081090218 hasConceptScore W2081090218C178790620 @default.
- W2081090218 hasConceptScore W2081090218C185592680 @default.