Quality assessment of upcycled waste/cotton blend rotor yarn and optimization modeling using Taguchi design of experiment.

IF 4.3
Md Ehsanur Rashid, Md Sazzadul Hoque, Md Nazim Hossain, Towfik Aziz Kanon, Ajmain Talukder Alfi, Shoumik Saha, Mustafijur Rahman, Tanvir Mahady Dip
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引用次数: 0

Abstract

Textile industry generates huge finishing waste, including brush fiber (BF) from sueding/emerizing processes. Although BF is often discarded, it is already available in loose fibrous form and can provide pre-colored feedstock when collected from dyed fabrics. Unlike previous studies primarily exploring BF-integrated ring-spun yarns or mechanically recycled BFs, this study investigates the direct use of unrecycled, pre-colored BF waste in rotor-spun yarn production without intermediate steps. Droppings-1 (D1) waste and 100% virgin cotton rotor yarn were used as comparative benchmarks. A full-factorial design, Taguchi optimization, and regression modeling were applied to evaluate effects of yarn count, waste type, and blend ratio on yarn unevenness (coefficient of mass variation (CVm%)), imperfection index (IPI), hairiness, tensile strength, elongation, and reisskilometer (RKM). The results showed that 100% virgin cotton yarns had the best overall performance. D1 blends showed good evenness and mechanical properties with limited quality loss, whereas BF blends produced acceptable rotor yarns with moderately higher CVm%, IPI, hairiness, and slightly lower tensile properties due to their shorter fiber length. However, BF provided a distinct pre-colored mélange appearance, reducing the need for additional dyeing. Regression models described the main yarn responses well, with adjusted R2 values ranging from 0.326 to 0.862; the models for IPI and breaking force showed only moderate fit. Taguchi analysis identified waste type as the most influential factor affecting yarn quality. Direct use of pre-colored BF waste can avoid additional mechanical recycling and dyeing steps, with indicative, literature-based estimates of approximately 1559 L water, 4.8 kWh energy and 2.2 kg CO₂-eq per kg of virgin cotton replaced.. These findings establish a simplified textile-to-textile recycling route that produced value-added rotor-spun mélange yarns.

利用田口实验设计对再生废棉混纺转子纱质量评价及优化建模。
纺织工业产生了大量的后整理废料,其中包括在绒面和烫发过程中产生的刷毛纤维。虽然高炉经常被丢弃,但它已经以松散的纤维形式存在,当从染色织物中收集时可以提供预着色的原料。与以往的研究主要探索BF集成环锭纺纱或机械回收的BF不同,本研究探讨了在转子纺纱生产中直接使用未回收的预染色BF废料,而不需要中间步骤。以1号废纱和100%纯棉转纱为比较基准。采用全因子设计、田口优化和回归模型评价纱线支数、废纱种类和混纺比对纱线不匀度(质量变异系数CVm%)、不完善指数IPI、毛羽度、拉伸强度、伸长率和弹性系数RKM的影响。结果表明,100%纯棉纱线的综合性能最好。D1共混物表现出良好的均匀性和机械性能,质量损失有限,而BF共混物生产出可接受的转子纱,其CVm%、IPI、毛羽度略高,但由于纤维长度较短,拉伸性能略低。然而,BF提供了一种明显的预染色棉纱外观,减少了额外染色的需要。回归模型较好地描述了主纱的响应,调整后的R2值在0.326 ~ 0.862之间;IPI模型与断裂力模型拟合适中。田口分析认为,纱线的种类是影响纱线质量的主要因素。直接使用预着色的高炉废物可以避免额外的机械回收和染色步骤,根据指示性的文献估计,每公斤原棉更换约1559升水,4.8千瓦时能源和2.2千克二氧化碳当量。这些发现建立了一个简化的纺织品到纺织品的回收路线,生产增值的转子纺纱棉纱。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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