Matches in SemOpenAlex for { <https://semopenalex.org/work/W2002190147> ?p ?o ?g. }
- W2002190147 endingPage "29" @default.
- W2002190147 startingPage "20" @default.
- W2002190147 abstract "Model-fitting methods that are exercised till date for evaluating the optimum overall pyrolysis kinetics parameters usually applied traditional gradient base optimization techniques but associated with major drawback of attaining global optimum due to uncertainties in selection of initial guess. To overcome such uncertainties and drawbacks, we have, applied the modern evolutionary optimization method (hybrid genetic algorithms (HGA) technique) for 15 models to attain the globally optimum kinetics parameters using the experimental thermogravimetric analysis (TGA) data and we did compare the experimental and simulated data to expect the possible mechanism to occur during pyrolysis. As case studies, we used thermal decomposition of waste polyethylene terephthalate (PET), waste low-density polyethylene (LDPE) and polypropylene (PP). The suitability of the models is also tested using the AICc score. Nucleation and growth model with reaction order, n = 2/3 is the best suited one and it also predicted the experimental TGA data successfully. The nth order model also shows good AICc score and well predicted the experimental TGA data." @default.
- W2002190147 created "2016-06-24" @default.
- W2002190147 creator A5031120963 @default.
- W2002190147 creator A5044827635 @default.
- W2002190147 creator A5045487367 @default.
- W2002190147 date "2008-05-01" @default.
- W2002190147 modified "2023-10-16" @default.
- W2002190147 title "Hybrid genetic algorithm to find the best model and the globally optimized overall kinetics parameters for thermal decomposition of plastics" @default.
- W2002190147 cites W108488536 @default.
- W2002190147 cites W1963873170 @default.
- W2002190147 cites W1966227793 @default.
- W2002190147 cites W1966280575 @default.
- W2002190147 cites W1969945203 @default.
- W2002190147 cites W1972709897 @default.
- W2002190147 cites W1978967861 @default.
- W2002190147 cites W1981522693 @default.
- W2002190147 cites W1985032689 @default.
- W2002190147 cites W1993008763 @default.
- W2002190147 cites W1994763065 @default.
- W2002190147 cites W2000071980 @default.
- W2002190147 cites W2000931709 @default.
- W2002190147 cites W2002539368 @default.
- W2002190147 cites W2002926186 @default.
- W2002190147 cites W2007470845 @default.
- W2002190147 cites W2010205196 @default.
- W2002190147 cites W2012329788 @default.
- W2002190147 cites W2013116057 @default.
- W2002190147 cites W2014096653 @default.
- W2002190147 cites W2014293431 @default.
- W2002190147 cites W2028913083 @default.
- W2002190147 cites W2036405954 @default.
- W2002190147 cites W2037379950 @default.
- W2002190147 cites W2041826578 @default.
- W2002190147 cites W2044893528 @default.
- W2002190147 cites W2050448806 @default.
- W2002190147 cites W2051579075 @default.
- W2002190147 cites W2058868096 @default.
- W2002190147 cites W2065110762 @default.
- W2002190147 cites W2071719901 @default.
- W2002190147 cites W2072054322 @default.
- W2002190147 cites W2076611253 @default.
- W2002190147 cites W2087790721 @default.
- W2002190147 cites W2091793087 @default.
- W2002190147 cites W2103707572 @default.
- W2002190147 cites W2122502430 @default.
- W2002190147 cites W2122874853 @default.
- W2002190147 cites W2124506765 @default.
- W2002190147 cites W2156163658 @default.
- W2002190147 cites W2160506523 @default.
- W2002190147 cites W2166721843 @default.
- W2002190147 cites W4253101584 @default.
- W2002190147 doi "https://doi.org/10.1016/j.cej.2007.05.024" @default.
- W2002190147 hasPublicationYear "2008" @default.
- W2002190147 type Work @default.
- W2002190147 sameAs 2002190147 @default.
- W2002190147 citedByCount "56" @default.
- W2002190147 countsByYear W20021901472012 @default.
- W2002190147 countsByYear W20021901472013 @default.
- W2002190147 countsByYear W20021901472014 @default.
- W2002190147 countsByYear W20021901472016 @default.
- W2002190147 countsByYear W20021901472017 @default.
- W2002190147 countsByYear W20021901472018 @default.
- W2002190147 countsByYear W20021901472019 @default.
- W2002190147 countsByYear W20021901472020 @default.
- W2002190147 countsByYear W20021901472021 @default.
- W2002190147 countsByYear W20021901472023 @default.
- W2002190147 crossrefType "journal-article" @default.
- W2002190147 hasAuthorship W2002190147A5031120963 @default.
- W2002190147 hasAuthorship W2002190147A5044827635 @default.
- W2002190147 hasAuthorship W2002190147A5045487367 @default.
- W2002190147 hasConcept C108458091 @default.
- W2002190147 hasConcept C11413529 @default.
- W2002190147 hasConcept C121332964 @default.
- W2002190147 hasConcept C124681953 @default.
- W2002190147 hasConcept C126255220 @default.
- W2002190147 hasConcept C127413603 @default.
- W2002190147 hasConcept C148898269 @default.
- W2002190147 hasConcept C159985019 @default.
- W2002190147 hasConcept C160434732 @default.
- W2002190147 hasConcept C178790620 @default.
- W2002190147 hasConcept C185592680 @default.
- W2002190147 hasConcept C186060115 @default.
- W2002190147 hasConcept C192562407 @default.
- W2002190147 hasConcept C204530211 @default.
- W2002190147 hasConcept C2777973245 @default.
- W2002190147 hasConcept C2779751980 @default.
- W2002190147 hasConcept C2780017307 @default.
- W2002190147 hasConcept C33923547 @default.
- W2002190147 hasConcept C36759035 @default.
- W2002190147 hasConcept C41008148 @default.
- W2002190147 hasConcept C42360764 @default.
- W2002190147 hasConcept C60100273 @default.
- W2002190147 hasConcept C61048295 @default.
- W2002190147 hasConcept C62520636 @default.
- W2002190147 hasConcept C86803240 @default.
- W2002190147 hasConcept C8880873 @default.
- W2002190147 hasConcept C97355855 @default.
- W2002190147 hasConceptScore W2002190147C108458091 @default.