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首页> 外文期刊>Journal of Applied Polymer Science >Factorial optimization of the effects of melt-spinning conditions on biodegradable as-spun aliphatic-aromatic copolyester fibers. III. Diameter, tensile properties, and thermal shrinkage
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Factorial optimization of the effects of melt-spinning conditions on biodegradable as-spun aliphatic-aromatic copolyester fibers. III. Diameter, tensile properties, and thermal shrinkage

机译：熔融纺丝条件对可生物降解的初纺脂族-芳族共聚酯纤维的影响的因子优化。三，直径，拉伸性能和热收缩率

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摘要

To model the melt-spinning process of biodegradable as-spun linear aliphatic-aromatic copolyester fibers, a fraction factorial experimental design and appropriate statistical analysis for the 32 screening trials involving five control parameters were used. Because of their central role in the production processes and end use textiles, it is important to simulate the mechanical and thermal shrinkage properties of AAC fibers. Concise statistical models of fiber behavior are based on factorial experimental design data. Process's data are collected, analyzed, and mathematical models created to predict the diameter, tenacity, elongation at break, modulus, and thermal shrinkage of the spun fiber in terms of random variables and their associated probability distributions. The theoretical regression models obtained form the main source code in the enhanced forecasting program, which presents the melt-spinning process of aromatic-aliphatic copolyester fibers. Factorial statistical approaches, based on over indicated region levels of melt-spinning process parameters, are given in terms of assumptions and theory to produce biodegradable, environmentally friendly fibers for different applications.
机译：为了模拟可生物降解的初纺线性脂族-芳族共聚酯纤维的熔融纺丝过程，使用了部分因子实验设计和针对涉及五个控制参数的32个筛选试验进行了适当的统计分析。由于它们在生产过程和最终用途纺织品中的重要作用，因此模拟AAC纤维的机械和热收缩性能非常重要。精确的纤维行为统计模型基于析因实验设计数据。收集，分析过程数据，并创建数学模型，以根据随机变量及其相关的概率分布来预测纺纤维的直径，强度，断裂伸长率，模量和热收缩率。所获得的理论回归模型是增强型预测程序中的主要源代码，该模型提供了芳族脂肪族共聚酯纤维的熔融纺丝过程。基于假设和理论，给出了基于熔体纺丝工艺参数超过指示区域水平的阶乘统计方法，以生产适用于不同应用的可生物降解的环保纤维。

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