Usage Durability and Comfort Properties of Socks Made from Differently Spun Modal and Micro Modal Yarns.

Materials (Basel)

Department of Materials, Fibers and Textile Testing, Faculty of Textile Technology, University of Zagreb, Prilaz baruna Filipovića 28a, 10000 Zagreb, Croatia.

Published: February 2023

Socks, being a necessary item of clothing, must be comfortable and maintain their quality throughout their life. Since the applicability of modal fibers and microfibers, as well as yarns produced using unconventional processes, in sock knitting has been insufficiently researched, this paper evaluated three groups of medium sized socks knitted in a plain single jersey pattern produced with the highest percentage of ring, rotor and air-jet spun modal or micro modal yarns of the same linear density in full plating with different textured polyamide 6.6 yarns compared to conventional cotton socks. The sock quality was evaluated through an investigation of the physical properties, wear resistance and dimensional stability, as well as the water vapor absorption, air permeability and thermal resistance using the thermal foot model before and after five repeated washing and drying cycles, according to the proposed methodology. The results showed that the fiber fineness, the structure of the differently spun yarns and the sock plain knits, the polyamide content and the implementation of the pretreatment of the socks had an influence on the obtained results. The socks made from modal and micro modal yarns differed in their properties. Compared to cotton socks, they have better comfort properties, a generally better pilling resistance and, after pretreatment, a comparable abrasion resistance.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9964443PMC
http://dx.doi.org/10.3390/ma16041684DOI Listing

Publication Analysis

Top Keywords

modal micro
12
micro modal
12
modal yarns
12
comfort properties
8
differently spun
8
spun modal
8
cotton socks
8
socks
7
modal
7
yarns
6

Similar Publications

BioGSF: a graph-driven semantic feature integration framework for biomedical relation extraction.

Brief Bioinform

November 2024

Suzhou Key Lab of Multi-modal Data Fusion and Intelligent Healthcare, No. 1188 Wuzhong Avenue, Wuzhong District Suzhou, Suzhou 215004, China.

The automatic and accurate extraction of diverse biomedical relations from literature constitutes the core elements of medical knowledge graphs, which are indispensable for healthcare artificial intelligence. Currently, fine-tuning through stacking various neural networks on pre-trained language models (PLMs) represents a common framework for end-to-end resolution of the biomedical relation extraction (RE) problem. Nevertheless, sequence-based PLMs, to a certain extent, fail to fully exploit the connections between semantics and the topological features formed by these connections.

View Article and Find Full Text PDF

Efficient Second Harmonic Generation via Plasmonic-Photonic Mode Matching in Hybrid Waveguide.

Nano Lett

January 2025

School of Physics and Technology, and Key Laboratory of Artificial Micro- and Nano-structures of Ministry of Education, Wuhan University, Wuhan 430072, China.

Hybrid nonlinear plasmonic waveguides, characterized by a small mode area and large nonlinear susceptibility, present an intriguing and practical platform for the minimization of nonlinear photonic devices. Nevertheless, the intrinsic Ohmic loss associated with surface plasmon polaritons (SPPs) and modal dispersion imposes constraints on the effective interaction length and, consequently, the ultimate efficiency of nonlinear processes. In this study, we demonstrate an efficient second harmonic generation (SHG) within a hybrid plasmonic waveguide by leveraging SPP-like modes at the fundamental wave and photonic-like modes at the SHG under phase matching conditions.

View Article and Find Full Text PDF

Particle manipulation under X-force fields.

Lab Chip

January 2025

Department of Engineering Mechanics, Zhejiang University, Hangzhou 310027, China.

Particle manipulation is a central technique that enhances numerous scientific and medical applications by exploiting micro- and nanoscale control within fluidic environments. In this review, we systematically explore the multifaceted domain of particle manipulation under the influence of various X-force fields, integral to lab-on-a-chip technologies. We dissect the fundamental mechanisms of hydrodynamic, gravitational, optical, magnetic, electrical, and acoustic forces and detail their individual and synergistic applications.

View Article and Find Full Text PDF

Nondestructive Monitoring of Textile-Reinforced Cementitious Composites Subjected to Freeze-Thaw Cycles.

Materials (Basel)

December 2024

Department of Mechanics of Materials and Constructions, Faculty of Engineering, Vrije Universiteit Brussel, B-1050 Brussels, Belgium.

Cementitious materials are susceptible to damage not only from mechanical loading, but also from environmental (physical, chemical, and biological) factors. For Textile-Reinforced Cementitious (TRC) composites, durability poses a significant challenge, and a reliable method to assess long-term performance is still lacking. Among various durability attacks, freeze-thaw can induce internal cracking within the cementitious matrix, and weaken the textile-matrix bond.

View Article and Find Full Text PDF
Article Synopsis
  • Nano-self-assembly of natural organic matter (NOM) plays a critical role in affecting both NOM and pollutant dynamics in complex environments, highlighting the need for advanced analysis methods.
  • Machine learning (ML) is proposed as a valuable tool for interpreting NOM self-assembly processes by utilizing big data to explore structure-property relationships and environmental impacts.
  • The review emphasizes the importance of developing new ML algorithms and frameworks to address challenges in data interpretation, while also proposing an integrated research approach that combines ML, experiments, and theoretical models for better understanding NOM-related environmental issues.
View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!