This paper presents an experimental study of the compression behavior of a typical warp-knitted spacer fabric which is specially developed as a cushioning material for human body protection. The fabric has a highly heterogeneous and discontinuous structure and exhibits a complicated compression behavior. Different test boundary conditions and sample sizes were first adopted to conduct compressi...

This paper presents an adaptive image segmentation method based on a new Regional Growing Pulse Coupled Neural Network (PCNN) model for detecting fabric defects. In this method, the pixels of analyzed image are mapped on the neurons in a pulse coupled neural network. Improved PCNN model and regional growing theory are combined in the light of the requirements for fabric defect detection. And th...

Sensory Fabric is a technology that uses electrically conductive textiles to fabricate switches and sensors. In this article we examine how a number of broad device types, or form factors, can be reconfigured or made more ubiquitous by replacing their traditional interface hardware with Sensory Fabric. The implications of using a fabric solution are explored for handheld and personal devices, e...

Abstract—Fabric textures are very common in our daily life. However, the representation of fabric textures has never been explored from neuroscience view. Theoretical studies suggest that primary visual cortex (V1) uses a sparse code to efficiently represent natural images. However, how the simple cells in V1 encode the artificial textures is still a mystery. So, here we will take fabric textur...

Fiber structures, yarn structures, and mechanical properties of fibers namely tensile modulus, tenacity, and elongation, are the key performance indicators of fabric cut resistance. p-aramid and UHDPE (Ultra High Density Polyethylene) based high performance fibers are most commonly used for protection against mechanical risks. Specially engineered composite yarns and fabrics enhance cut resista...

Fabric defect detection and classification plays an important role in inspection of fabric products. Many fabric defects are very small and undistinguishable, which can be detected only by monitoring the variation in the intensity. Currently, in almost all the fabric industries the process of defect detection is done manually using skilled labor. An automated defect detection and identification...

3) Key Laboratory of Clothing Design & Technology, Ministry of Education, China Abstract Considering a clothing system consists of the human body, an air gap layer under the clothing as well as a fabric layer and boundary layer adjacent to the fabric, heat transfer from the skin to the environment is influenced by human body thermoregulation, the air gap, the fabric and environmental conditions...

A plain-weave wool fabric has been treated in a rollto-roll atmospheric pressure, post-discharge plasma equipment at three fabric speeds. The thermal properties of the treated fabric have been investigated by means of an Alambeta instrument. The thermal resistance and thermal diffusivity increased after the plasma treatment while the thermal absorptivity and volumetric heat capacity decreased. ...

Quality control at each stage of production in textile industry has become a key factor to retaining the existence in the highly competitive global market. Problems of manual fabric defect inspection are lack of accuracy and high time consumption, where early and accurate fabric defect detection is a significant phase of quality control. Computer vision based, i.e. automated fabric defect inspe...

Wearable monitoring system is designed for skin stimulation of conductive adhesive, prolonged physiological monitoring and biocompatibility, whose core is fabric electrodes and it can feedback physiological status by analysis of abnormal electrocardiogram (ECG). Fabric electrode is a sensor to collect biological signals based on textile materials including signals acquisition, processing system...