An approach for prediction optimum crystallization conditions for formation of beta polypropylene by response surface methodology (RSM)

In this work beta nucleating agent is synthesized and mixed with various grades of polypropylene (PP). The beta nucleating agent (β-NA) content, melt flow rate (MFR) of PP and cooling rate as independent variables are correlated to the beta crystal content (β-PP) by using Response Surface Methodolog...

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Autores principales:	Mina Farahani, Yousef Jahani
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Polypropylene Beta nucleating agent Crystallization condition Nucleating agent content Melt flow rate (MFR) Cooling rate Polymers and polymer manufacture TP1080-1185
Acceso en línea:	https://doaj.org/article/35c26a5c36d94be0bbde59fa4247c51b
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spelling	oai:doaj.org-article:35c26a5c36d94be0bbde59fa4247c51b2021-11-24T04:24:22ZAn approach for prediction optimum crystallization conditions for formation of beta polypropylene by response surface methodology (RSM)0142-941810.1016/j.polymertesting.2020.106921https://doaj.org/article/35c26a5c36d94be0bbde59fa4247c51b2021-01-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S0142941820321504https://doaj.org/toc/0142-9418In this work beta nucleating agent is synthesized and mixed with various grades of polypropylene (PP). The beta nucleating agent (β-NA) content, melt flow rate (MFR) of PP and cooling rate as independent variables are correlated to the beta crystal content (β-PP) by using Response Surface Methodology (RSM) models. Central cubic design was employed for experimental design. The crystallization behavior of various grades of PP at different percentage of beta nucleating agents is analyzed by differential scanning calorimetry (DSC) at three different cooling rates. The results showed that the enthalpy of fusion of beta crystals (△Hβ) are directly related to the amount of β-NA. The sensitivity of the alpha polymorph to beta nucleating agent concentration increased with increasing the cooling rate. The optimal condition to achieve to a maximum Kβ are obtained for the resin with MFR of 21 g/10min containing 0.59 %wt β-NA and cooling rate of 8 °C/min.Mina FarahaniYousef JahaniElsevierarticlePolypropyleneBeta nucleating agentCrystallization conditionNucleating agent contentMelt flow rate (MFR)Cooling ratePolymers and polymer manufactureTP1080-1185ENPolymer Testing, Vol 93, Iss , Pp 106921- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Polypropylene Beta nucleating agent Crystallization condition Nucleating agent content Melt flow rate (MFR) Cooling rate Polymers and polymer manufacture TP1080-1185
spellingShingle	Polypropylene Beta nucleating agent Crystallization condition Nucleating agent content Melt flow rate (MFR) Cooling rate Polymers and polymer manufacture TP1080-1185 Mina Farahani Yousef Jahani An approach for prediction optimum crystallization conditions for formation of beta polypropylene by response surface methodology (RSM)
description	In this work beta nucleating agent is synthesized and mixed with various grades of polypropylene (PP). The beta nucleating agent (β-NA) content, melt flow rate (MFR) of PP and cooling rate as independent variables are correlated to the beta crystal content (β-PP) by using Response Surface Methodology (RSM) models. Central cubic design was employed for experimental design. The crystallization behavior of various grades of PP at different percentage of beta nucleating agents is analyzed by differential scanning calorimetry (DSC) at three different cooling rates. The results showed that the enthalpy of fusion of beta crystals (△Hβ) are directly related to the amount of β-NA. The sensitivity of the alpha polymorph to beta nucleating agent concentration increased with increasing the cooling rate. The optimal condition to achieve to a maximum Kβ are obtained for the resin with MFR of 21 g/10min containing 0.59 %wt β-NA and cooling rate of 8 °C/min.
format	article
author	Mina Farahani Yousef Jahani
author_facet	Mina Farahani Yousef Jahani
author_sort	Mina Farahani
title	An approach for prediction optimum crystallization conditions for formation of beta polypropylene by response surface methodology (RSM)
title_short	An approach for prediction optimum crystallization conditions for formation of beta polypropylene by response surface methodology (RSM)
title_full	An approach for prediction optimum crystallization conditions for formation of beta polypropylene by response surface methodology (RSM)
title_fullStr	An approach for prediction optimum crystallization conditions for formation of beta polypropylene by response surface methodology (RSM)
title_full_unstemmed	An approach for prediction optimum crystallization conditions for formation of beta polypropylene by response surface methodology (RSM)
title_sort	approach for prediction optimum crystallization conditions for formation of beta polypropylene by response surface methodology (rsm)
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/35c26a5c36d94be0bbde59fa4247c51b
work_keys_str_mv	AT minafarahani anapproachforpredictionoptimumcrystallizationconditionsforformationofbetapolypropylenebyresponsesurfacemethodologyrsm AT yousefjahani anapproachforpredictionoptimumcrystallizationconditionsforformationofbetapolypropylenebyresponsesurfacemethodologyrsm AT minafarahani approachforpredictionoptimumcrystallizationconditionsforformationofbetapolypropylenebyresponsesurfacemethodologyrsm AT yousefjahani approachforpredictionoptimumcrystallizationconditionsforformationofbetapolypropylenebyresponsesurfacemethodologyrsm
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An approach for prediction optimum crystallization conditions for formation of beta polypropylene by response surface methodology (RSM)

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