迈向针织纺织机电系统
Towards Knitted Textile Electromechanical Systems
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中文总结 AI 辅助
研究针对机器编织复杂结构的绝缘导电纱线及电容式触觉压力传感阵列，提出基于调整后流体动力学模型的纱线浸涂工艺，确定最佳参数和浓度，制造出特性稳定的纱线，证明此编织法可将传感功能集成到可穿戴纺织品。
中文摘要 AI 辅助
电子纺织品和可穿戴传感技术为人机交互提供了灵活、可定制的界面，电容式传感可实现精确的触摸和压力检测。虽然机器编织为这类传感器提供了可扩展、机械可调的理想结构，但很少有研究开发或表征针对编织复杂结构几何形状和高弯曲应变设计的绝缘导电纱线。在这项工作中，我们提出了一种基于调整后的浸涂流体动力学模型的纱线浸涂工艺，可实现电容式触觉压力传感阵列的可扩展、可机器编织制造。我们确定了最佳浸涂参数以及溶解在二甲基甲酰胺（DMF）中的热塑性聚氨酯（TPU）浓度，以创建优化编织的涂层（约630微米厚）。这些制造的纱线在编织和洗涤后显示出机电特性偏差最小，从而能够通过多层结构创建针织压力传感器。该工艺表明，用绝缘纱线进行机器编织是将传感功能集成到可穿戴纺织品中的可行且可靠的制造方法。
英文摘要
E-textiles and wearable sensing technologies enable flexible, customizable interfaces for human-computer interaction, with capacitive sensing offering precise touch and pressure detection. While machine knitting provides scalable, mechanically tunable structures ideal for such sensors, few studies develop or characterize insulated conductive yarns engineered for knitting's complex structural geometry and high flexure strain. In this work, we present a yarn dip-coating process, driven by an adjusted dip-coating fluid dynamics model, that enables scalable, machine knittable fabrication of capacitive tactile pressure sensing arrays. We establish optimal dip-coating parameters and concentrations of thermoplastic polyurethane (TPU) dissolved in dimethylformamide (DMF) to create knitting-optimized coatings (~630 um thickness). These fabricated yarns are shown to maintain electromechanical characteristics with minimal deviation after knitting and washing, thus allowing the creation of knitted pressure sensors through multi-layered structures. This process demonstrates that machine knitting with insulated yarns is a viable and reliable manufacturing approach to integrate sensing functionality into wearable textiles.
