The Influence of Fabric Structural Parameters on Dust Retention Using a Simple, Newly Constructed Device

This article has been directed to Environment Protection Technology with the purpose of providing a new instrument designed and developed to measure filtration efficiency through the relationship between clean cloth fabric structural parameters, dust parameters, and test measuring variables. Fabric samples used throughout the present study were woven cotton 100%, polyester 100% and cotton/polyester 50/50%. The warp count: 30/2 for all fabric samples, the weft count is 9/1;12/1;and 20/1. The weave of satin, basket, and twill is 3/1 with four different picks/cm to produce the fabrics with the same cover factor. For dust separation fabrics range in weight from “300 - 450 g/m2” with an air permeability of “100 - 300 l/d m2·min” at “196.2 Pa” (20 mm WG) as specified in DIN 53887. Air permeability through fabrics depends entirely on the sieving percent of the surface of the fabric, which is partly the pores and partly the permeability through the yarns, which are the basic elements of a fabric. The results showed that dust capturing depends entirely on air permeability, which is related to fabric weave structure and fabric material at specified testing and measuring variables.

Curriculum Reform of“Woven Fabric Structure Design and Application”in Higher Vocational College Based on Industry-College Partnerships

The curriculum“Woven Fabric Structure Design and Application”is the core curriculum of textile majors in higher vocational colleges,which plays a very important role in the cultivation of students’vocational ability and professional quality.The curriculum reform of“Woven Fabric Structure Design and Application”through the deep cooperation of industry-college partnerships,the comprehensive analysis of the major training objectives and graduation requirements,the redesign of the curriculum teaching content,the improvement of the teaching method and the examination method,has achieved good results.

Atomically self-healing of structural defects in monolayer WSe_(2)

Minimizing disorder and defects is crucial for realizing the full potential of two-dimensional transition metal dichalcogenides(TMDs) materials and improving device performance to desired properties. However, the methods in defect controlcurrently face challenges with overly large operational areas and a lack of precision in targeting specific defects. Therefore,we propose a new method for the precise and universal defect healing of TMD materials, integrating real-time imaging withscanning transmission electron microscopy (STEM). This method employs electron beam irradiation to stimulate the diffusionmigration of surface-adsorbed adatoms on TMD materials grown by low-temperature molecular beam epitaxy (MBE),and heal defects within the diffusion range. This approach covers defect repairs ranging from zero-dimensional vacancydefects to two-dimensional grain orientation alignment, demonstrating its universality in terms of the types of samples anddefects. These findings offer insights into the use of atomic-level focused electron beams at appropriate voltages in STEMfor defect healing, providing valuable experience for achieving atomic-level precise fabrication of TMD materials.

Influence of Fabric Geometrical Structure on Bonding of the Fabric Reinforced Cement Composites

Influence of fabric geometrical parameters,including the number of filling yarns per 10 cm,yarn twist and fiber type,on bonding of the fabric reinforced cement composites is studied by fabric pull-out test and SEM microstructure analysis.The results show that the bonding strength increase with the increase of the number of filling yarns per 10 cm in the range of this study.But the influence of fabric count on the interfacial bonding is dual and there is a critical value.The twist of yarns has a little effect on the bonding strength and interfacial bonding behaves of nylon fabric reinforced cement composites.There is an optimum twist range.Within this range,the bonding strength increase slowly with the increase of yarn twist.Beyond this range,it is versus.The bonding strength is strongly affected by the fabric character.The bonding between the nylon fiber fabric and cement is good;that of between glass fiber fabric and cement is moderate and that of between the carbon fiber fabric and cement is poor.

The Mechanical Behaviour of Rubber Hose Reinforced with Warp Knitted Fabric

A new process for the rubber hose reinforced with warp knitted fabric was introduced, and the relation between the inside pressure and the radial expansion ratio of four kinds of rubber radiator hose reinforced with warp knitted fabric was investigated. The result showed that the bursting pressure and the radial direction expansion ratio of the hose could meet the requirement of ISO4081 for auto radiator hose. A new model was built up to analyse the relation between the inside pressure and the radial expansion ratio of the hose based the reinforced fabric structure parameters and yarn properties.

Research on Construction Technology of Prefabricated Structure Based on BIM Technology

Building information modeling(BIM)technology simulates visual information data by integrating the information data of construction projects.The presentation of information parameters allows better collaborative management of the construction process.BIM technology is applied to integrate information data during the construction of prefabricated structures,analyze the source of information data of construction projects,and build a digital information model.BIM technology consists of information integration function,information data simulation,cross-region coordination and more.Therefore,this paper applies it to the process of prefabricated structure design,puts forward relevant technical research strategies,establishes relevant models,ensures the accuracy of drawing,and simulates the final construction effect according to the combination of arranged relevant parameters.

Spoil characterisation using UAV-based optical remote sensing in coal mine dumps

The structural integrity of mine dumps is crucial for mining operations to avoid adverse impacts on the triple bottom-line.Routine temporal assessments of coal mine dumps are a compliant requirement to ensure design reconciliation as spoil off-loading continues over time.Generally,the conventional in-situ coal spoil characterisation is inefficient,laborious,hazardous,and prone to experts'observation biases.To this end,this study explores a novel approach to develop automated coal spoil characterisation using unmanned aerial vehicle(UAV)based optical remote sensing.The textural and spectral properties of the high-resolution UAV images were utilised to derive lithology and geotechnical parameters(i.e.,fabric structure and relative density/consistency)in the proposed workflow.The raw images were converted to an orthomosaic using structure from motion aided processing.Then,structural descriptors were computed per pixel to enhance feature modalities of the spoil materials.Finally,machine learning algorithms were employed with ground truth from experts as training and testing data to characterise spoil rapidly with minimal human intervention.The characterisation accuracies achieved from the proposed approach manifest a digital solution to address the limitations in the conventional characterisation approach.

Woven fabric triboelectric nanogenerators for human-computer interaction and physical health monitoring

Triboelectric nanogenerator(TENG)converts mechanical energy into valuable electrical energy,offering a solution for future energy needs.As an indispensable part of TENG,textile TENG(T-TENG)has incredible advantages in harvesting biomechanical energy and physiological signal monitoring.However,the application of T-TENG is restricted,partly because the fabric structure parameter and structure on T-TENG performance have not been fully exploited.This study comprehensively investigates the effect of weaving structure on fabric TENGs(F-TENGs)for direct-weaving yarn TENGs and post-coating fabric TENGs.For direct-weaving F-TENGs,a single-yarn TENG(Y-TENG)with a core-sheath structure is fabricated using conductive yarn as the core layer yarn and polytetrafluoroethylene(PTFE)filaments as the sheath yarn.Twelve fabrics with five different sets of parameters were designed and investigated.For post-coating F-TENGs,fabrics with weaving structures of plain,twill,satin,and reinforced twill were fabricated and coated with conductive silver paint.Overall,the twill F-TENGs have the best electrical outputs,followed by the satin F-TENGs and plain weave F-TENGs.Besides,the increase of the Y-TENG gap spacing was demonstrated to improve the electrical output performance.Moreover,T-TENGs are demonstrated for human-computer interaction and self-powered real-time monitoring.This systematic work provides guidance for the future T-TENG’s design.

Review on Development and Application of Fabric Electrodes in Electrocardiogram Monitoring Garments

Cardiovascular disease persists as the primary cause of human mortality,significantly impacting healthy life expectancy.The routine electrocardiogram(ECG)stands out as a pivotal noninvasive diagnostic tool for identifying arrhythmias.The evolving landscape of fabric electrodes,specifically designed for the prolonged monitoring of human ECG signals,is the focus of this research.Adhering to the preferred reporting items for systematic reviews and meta-analyses(PRISMA)statement and assimilating data from 81 pertinent studies sourced from reputable databases,the research conducts a comprehensive systematic review and meta-analysis on the materials,fabric structures and preparation methods of fabric electrodes in the existing literature.It provides a nuanced assessment of the advantages and disadvantages of diverse textile materials and structures,elucidating their impacts on the stability of biomonitoring signals.Furthermore,the study outlines current developmental constraints and future trajectories for fabric electrodes.These insights could serve as essential guidance for ECG monitoring system designers,aiding them in the selection of materials that optimize the measurement of biopotential signals.

Synthesis of hollow and mesoporous structured NaYF4：Yb,Er upconversion luminescent nanoparticles for targeted drug delivery

In this paper, we demonstrated a one-step template-free strategy to fabricate a hollow mesoporous structured NaY F4：Yb,Er nanoparticles with excellent upconversion luminescence. Folic acid（FA）, a commonly used cancer-targeting agent, was conjugated on the surface of the nanoparticles based on the presence of free amine groups, which were labeled as NaY F4：Yb,Er-FA HMUCNPs. The properties were extensively studied, which indicated the obtained samples showed a typical hollow mesoporous structure and excellent upconversion luminescence that were useful for cell imaging and drug delivery. The L929 cells viability, hemolysis assay and coagulation test demonstrated good biocompatibility of the samples. The anti-cancer drug doxorubicin hydrochloride（DOX） storage/release properties were demonstrated to be pH-responsive, in which, the drug release might be beneficial at the reduced pH for targeted release and controlled therapy. Moreover, it was found that DOX-loaded NaY F4：Yb,Er-FA HMUCNPs exhibited greater cytotoxicity to KB cells than free DOX due to the specific cell uptake by KB cells via folate receptor-mediate endocytosis. Therefore, the multifunctional nanoparticles combining upconversion luminescent property and hollow mesoporous structure have potential for simultaneous targeted anti-cancer drug delivery and cell imaging.