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A Statistical Analysis of the Influence of Multi-Stage Hot-Drawing on the Overall Orientation of Biodegradable Aliphatic-Aromatic Co-Polyester Fibers

机译:多阶段热拉伸对可生物降解脂肪族-芳香族共聚酯纤维总体取向影响的统计分析

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Biodegradable as-spun linear aliphatic-aromatic copolyester (AAC) fibers were processed under a fractional factorial design as a function of hotdrawing conditions using appropriate experimental and statistical methodology. The multi-stage hotdrawing process and overall orientation of the biodegradable AAC fibers were characterized and statistically analyzed. The results obtained showed that the most effective and significant parameters influencing fiber overall orientation are the draw ratio and the drawing temperature. Birefringence is affected positively by draw ratio and plate temperature, and negatively by drawing temperature, the interaction between drawing stage and relaxation temperature, relaxation temperature and the interaction between draw ratio and spin finish. From results and analysis, a combination of factor levels was designed for controlling the birefringence of the material studied using the regression equations obtained. A new forecasting statistical model has been suggested for optimizing the drawing process effect. Such optimized (AAC) fibers could be used in agricultural, horticultural and other textile applications.
机译:使用适当的实验和统计方法,根据分数因子设计,根据热拉伸条件对可生物降解的初纺线性脂族-芳族共聚酯(AAC)纤维进行处理。对可生物降解AAC纤维的多阶段热拉伸过程和整体取向进行了表征并进行了统计分析。获得的结果表明,影响纤维总体取向的最有效和最重要的参数是拉伸比和拉伸温度。双折射受到拉伸比和板温度的正影响,而受到拉伸温度,拉伸阶段与松弛温度之间的相互作用,松弛温度以及拉伸比与纺丝油剂之间的相互作用的负面影响。根据结果​​和分析,设计了因子水平的组合,以使用获得的回归方程式控制所研究材料的双折射。已经提出了一种新的预测统计模型,以优化绘图过程的效果。这种优化的(AAC)纤维可用于农业,园艺和其他纺织品应用。

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