Graduate Thesis Or Dissertation
 

An evaluation of serviceability and consumer acceptance of pre-school boys' knit shirts made of blended polypropylene fabrics

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https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/1831cn74n

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  • This study was an evaluation of fabric serviceability and consumer acceptance of polypropylene blend knits. A review of literature indicates a trend toward polypropylene blend fabrics for wearing apparel, specifically for knits. The purpose of the research was to compare two experimental double knit fabrics, a 50 percent Creslan/Herculon blend and a 50 percent rayon/Herculon blend. The double knit blends, constructed of a French pique stitch, were developed into pre-school boys' golf-style shirts. Fabric serviceability was tested through ten weeks of actual wear by seven nursery school boys, and in the textile laboratory for abrasion resistance, wrinkle recovery and for actual thickness. Consumer acceptance was subjectively evaluated by the parents of the boys, a panel of Oregon State University Clothing and Textiles faculty members, the nursery school supervisor, and the writer. The results of this study indicated that consumers will accept and purchase polypropylene blend shirts on the assumptions that the fabric will 1) provide superior serviceability, 2) resist stains and wrinkles, 3) return to original appearance with limited care, 4) be obtainable in a wide range of bright colors, and 5) be within a competitive price range to shirts of comparable style and fabric. Laboratory tests correlated with natural wear testing indicating both knit blends will pill, will not absorb moisture, will be colorfast, and will increase in thickness when exposed to a fluff drying cycle. The serviceability of the Creslan/Herculon blend was evaluated as being superior to the rayon/Herculon double knit for abrasion and wrinkle resistance.
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Déclaration de droits
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  • File scanned at 300 ppi using Capture Perfect 3.0.82 on a Canon DR-9080C in PDF format. CVista PdfCompressor 5.0 was used for pdf compression and textual OCR.
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