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Correlation of polymer performance and Hansen solubility parameters

Posted on:2017-05-30Degree:M.SType:Thesis
University:The University of Southern MississippiCandidate:Mania, Daniel JobseFull Text:PDF
GTID:2461390014462097Subject:Polymer chemistry
Abstract/Summary:
Ready-to-use (RTU) grout is becoming more important to the finish and remodeling construction industry. Market research shows it to be a fast-growing product that not only is creating its own space but also is beginning to supplant existing technology.;The original intent of this research was to investigate formulation parameters and how they affect grout performance. It was learned that particle size and oil absorption (OA) value are important filler properties that affect performance as much as adequate packing density and optimal pigment volume concentration (PVC) without going beyond critical PVC (CPVC).;Polymer architecture was also determined to be extremely important, but difficult to predict. Properties such as tensile strength and elongation can be adequately modeled by polymer Tg, however, Tg alone is not a good predictor of hydrophobicity or stain repellency performance.;This conundrum led to research into Hansen solubility parameters (HSP) and whether these could be used as performance predictive tools. Since HSP of polymers cannot be directly measured, Group Contribution Theory (GCT) had to be employed to estimate polymer HSP.;It was determined that HSP is not as good of a performance predictor for physical strength properties, like tensile strength, as polymer Tg: but HSP does have utility for relative performance prediction of wet state properties such as hydrophobicity, stain repellency, or solvent resistance. It was further discovered that HSP may be useful with predicting relative performance of wet state properties such as wet tensile strength and elongation.
Keywords/Search Tags:Performance, HSP, Polymer, Properties such, Tensile strength
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