Please use this identifier to cite or link to this item: https://hdl.handle.net/10321/2542
DC FieldValueLanguage
dc.contributor.advisorRamsuroop, Suresh-
dc.contributor.advisorLasich, M.-
dc.contributor.authorGanesh, Shrestaen_US
dc.date.accessioned2017-09-12T11:38:44Z-
dc.date.available2017-09-12T11:38:44Z-
dc.date.issued2017-
dc.identifier.other676190-
dc.identifier.urihttp://hdl.handle.net/10321/2542-
dc.descriptionSubmitted in fulfilment of the Degree of Master of Engineering in Chemical Engineering, Durban University of Technology, Durban, South Africa, 2017.en_US
dc.description.abstractA pertinent issue facing the materials industry is that of the lifespan of materials when exposed to certain solvents/ environments. Limitations to the applications of materials require further research into understanding their failure mechanisms and how such problems can be addressed in terms of re-engineering such materials to be more durable. PVC and HDPE are two common polymers used extensively in industrial applications. Gibbs ensemble Monte Carlo simulations were used to simulate systems of PVC and HDPE with methanol, respectively. The temperatures used in this work were 25, 30 and 40 oC and all systems were at atmospheric pressure. Laboratory tests were used to complement simulations for analysis purposes. Results showed an increase in temperature resulted in a decrease in the overall clustering in both polymers although PVC displayed a greater decrease than HDPE. Linear clustering dominated over other forms of clustering with increases in temperature, with dimers being the most prevalent topology type. The results of this study suggest that the presence of chlorine atoms in PVC may not directly affect clustering of absorbed methanol, and their effect may instead be indirect by means of altering the accessible free volume within the polymer. Swelling was also investigated in the simulated systems and it was found that PVC displayed a greater degree of swelling than HDPE despite its lower rate of clustering. The effect of cluster radius on the cluster analysis was also considered.en_US
dc.format.extent106 pen_US
dc.language.isoenen_US
dc.subject.lcshMethanol--Absorption and adsorptionen_US
dc.subject.lcshMonte Carlo methoden_US
dc.subject.lcshPolyvinyl chlorideen_US
dc.subject.lcshHigh-density polyethyleneen_US
dc.subject.lcshCluster analysisen_US
dc.subject.lcshPolymersen_US
dc.titleMonte Carlo simulations of methanol absorption and clustering in polyvinylchloride and high density polyethyleneen_US
dc.typeThesisen_US
dc.description.levelMen_US
dc.identifier.doihttps://doi.org/10.51415/10321/2542-
item.grantfulltextopen-
item.cerifentitytypePublications-
item.fulltextWith Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypeThesis-
item.languageiso639-1en-
Appears in Collections:Theses and dissertations (Engineering and Built Environment)
Files in This Item:
File Description SizeFormat
GANESH_S_2017.pdf1.06 MBAdobe PDFThumbnail
View/Open
Show simple item record

Page view(s)

654
checked on Dec 22, 2024

Download(s)

506
checked on Dec 22, 2024

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.