Different Types Of Fabrics Research Articles

A Systematic Review of AI-Driven Prediction of Fabric Properties and Handfeel

Artificial intelligence (AI) is revolutionizing the textile industry by improving the prediction of fabric properties and handfeel, which are essential for assessing textile quality and performance. However, the practical application and translation of AI-predicted results into real-world textile production remain unclear, posing challenges for widespread adoption. This paper systematically reviews AI-driven techniques for predicting these characteristics by focusing on model mechanisms, dataset diversity, and prediction accuracy. Among 899 papers initially identified, 39 were selected for in-depth analysis through both bibliometric and content analysis. The review categorizes and evaluates various AI approaches, including machine learning, deep learning, and hybrid models, across different types of fabric. Despite significant advances, challenges remain, such as ensuring model generalization and managing complex fabric behavior. Future research should focus on developing more robust models, integrating sustainability, and refining feature extraction techniques. This review highlights the critical gaps in the literature and provides practical insights to enhance AI-driven prediction of fabric properties, thus guiding future textile innovations.

Article of RILEM TC 292-MCC: bond behaviour of textile-reinforced concrete—a review

Textile-reinforced concrete (TRC) has gained a lot of attraction in recent years. Adequate bond between the phases in this system allows to transfer high loadings, thus enabling high performance. The terminus textile reinforcement, however, comprises many different types of fabrics, which differ in their chemical composition, geometry, surface properties etc., and thus exhibit substantially different bond properties. In the course of RILEM’s Technical Committee 292 work on TRC it was found that a comprehensive understanding of the complex interactions between individual parameters is still lacking. This is amplified by the fact that different types of textile reinforcement are preferably used in different regions of the world. This paper therefore attempts to compile findings from literature on the bond in TRC. The database used was created in the course of the TC work. Additional papers of relevance were identified by scanning scientific web databases. The different influencing parameters are given in this paper in a hierarchical order, starting from the level of the individual constituents (filament and matrix) to impregnated fabrics and the influence of textile manufacturing and architecture on the bond. Finally, by mapping all the cited literature used in this paper based on grouped keywords the complex intercorrelations are visualised.

A microstructure-based parameterization of the effective anisotropic elasticity tensor of snow, firn, and bubbly ice

Abstract. Quantifying the link between microstructure and effective elastic properties of snow, firn, and bubbly ice is essential for many applications in cryospheric sciences. The microstructure of snow and ice can be characterized by different types of fabrics (crystallographic and geometrical), which give rise to macroscopically anisotropic elastic behavior. While the impact of the crystallographic fabric has been extensively studied in deep firn, the present work investigates the influence of the geometrical fabric over the entire range of possible volume fractions. To this end, we have computed the effective elasticity tensor of snow, firn, and ice by finite-element simulations based on 391 X-ray tomography images comprising samples from the laboratory, the Alps, Greenland, and Antarctica. We employed a variant of Eshelby's tensor that has been previously utilized for the parameterization of thermal and dielectric properties of snow and utilized Hashin–Shtrikman bounds to capture the nonlinear interplay between density and geometrical anisotropy. From that we derive a closed-form parameterization for all components of the (transverse isotropic) elasticity tensor for all volume fractions using two fit parameters per tensor component. Finally, we used the Thomsen parameter to compare the geometrical anisotropy to the maximal theoretical crystallographic anisotropy in bubbly ice. While the geometrical anisotropy clearly dominates up to ice volume fractions of ϕ≈0.7, a thorough understanding of elasticity in bubbly ice may require a coupled elastic theory that includes geometrical and crystallographic anisotropy.

Mechanochemically robust hydrophobic fabric using an aqueous emulsion of amine-terminated polydimethylsiloxane

Polydimethylsiloxane (PDMS) is a highly reliable thermosetting polymer with exceptional chemical and mechanical resistance, as well as remarkable water repellency and adhesive performance. Its unique features make it the preferred choice for fluorine-free hydrophobic coatings. However, the use of PDMS requires organic solvents that are toxic and environmentally hazardous. In this study, an emulsion composed of amine-terminated polydimethylsiloxane (PDMS-NH2) in an environmentally friendly solvent, water, was prepared. Subsequently, glutaraldehyde (GA) was added and crosslinked to generate a hydrophobic PDMS–GA emulsion. The PDMS–GA emulsion is a low-viscosity solution that can infiltrate different types of fabrics (cotton, nylon, and polyester) or paper with numerous intertwined fibers. After dipping the fabrics and paper into the prepared PDMS–GA emulsion, they were washed in an aqueous solution containing dispersed kaolin particles and dried to yield a rough structure. As a result, a hydrophobic surface with a water contact angle of 151.2° was achieved. Furthermore, after exposure to strongly acidic or alkaline solutions (pH 1–13) and washing six times with water, the hydrophobic fabric remained chemically stable. Additionally, it withstood ten tape peeling tests, proving its mechanical durability. Crucially, the hydrophobic treatment method does not involve fluorine and uses eco-friendly water as the solvent. Therefore, this is a convenient way to apply waterproof coatings to functional textiles that require water resistance and are expected to have great industrial applications.

INVESTIGATION OF FABRIC TACTILE CHARACTERISTICS FOR DIFFERENT CLOTHING BASED ON ELDERLY PERSPECTIVES

Thailand has an aging society which is affected by the social and economic dimensions of the country. Products and services for the well-being of the elderly are becoming very competitive markets. This study investigated Thai elderly preferences toward apparel fabrics. In total, 40 Thai elderly women were interviewed on their purchasing behavior relating to clothing and their attitudes to different types of fabric. The free sorting task method was applied to 28 fabric samples based on their suitability for different applications by elderly people. The results showed that the factors influencing apparel purchasing by the elderly were price, tactile properties, and apparel pattern design. The elderly considered sensorial comfort, breathability, and softness as important components of good quality in a fabric for well-being. The sorting task produced 6 groups. The sleeping wear group was associated with all knitted fabrics and related to soft and stretched textures that provided comfort, while loungewear had a high association with the fabrics made of linen fiber based on the descriptive words ‘soft’, ‘comfort’, ‘airy’, ‘natural’, and ‘stiff’. Business professional wear had a high association with fabrics made of silk, linen, and cotton based on the descriptive words ‘thick’, ‘stiff’, and ‘look expensive’. These findings could provide guidelines for designing and manufacturing fabrics whose characteristics match the demands of the elderly, as well as guiding the fabrics to use to create clothing providing well-being for the elderly.

Tensile behaviors of nanoporous phenolic composites reinforced by 3D needle-punched preforms with different weave patterns

Needle-punched preform reinforced nanoporous phenolic composite (NPC) is a cost-effective lightweight ablative material for thermal protection systems. It consists of a needle-punched preform composed of alternating stacked fiber felt and stacked woven fabric, which plays a crucial role in the thermal insulation efficiency and mechanical properties. Herein, needle-punched preforms with different types of fabrics, including plain, twill, and satin, are deliberately designed for the reinforcement of NPC, and their tensile properties and fracture mechanism are investigated through experimentation and the CT image-based finite element method. At the same preform density, the composite with plain fabric exhibits the highest tensile strength of 146 ± 6.3 MPa, a tensile modulus of 8.2 ± 0.2 GPa, and an elongation of 2.1 ± 0.1%, due to having the highest number of crossover points and the largest undulation of fiber yarns. Furthermore, the CT image-based simulation reveals the failure mechanism of NPC. The von mises stress of woven fabric is higher than that of fiber felt, which demonstrates the woven fabric is the main load-bearing structure and determines the mechanical of composite. These results will provide useful guidance for the structural design and optimization of needle-punched preform reinforced composites.

Mechanical Properties of Epoxy-Based Hybrid Composites Reinforced by Fabrics and Powder Fillers

Different types of fabrics, such as aramid, carbon, basalt, glass, and flax, as well as powder fillers, were used to manufacture the epoxy-based hybrid composites by the vacuum bagging method. In this work, the resistance of hybrid composites was examined in terms of their resistance to acts of vandalism, such as resistance to cuts with sharp objects, impacts, and flames. These technics were applied to determine the impact of the type of fillers and fabrics on the performance of hybrid composites.

A new era: 3D printing as an aesthetic language and creative tool in fashion and textile design

Purpose This study aims to produce textile-like surfaces using fused deposition modelling (FDM) 3D printers and create a garment collection. Design/methodology/approach Experiments were conducted using different types of materials in FDM 3D printers until the sufficient flexibility was achieved to create textile-like structures. During the research, properties of polylactic acid (PLA), acrylonitrile butadiene styrene (ABS) and thermoplastic polyurethane (TPU) were observed. Geometrical patterns were printed and each of them gave a different result depending on the pattern. Based on the information obtained from the experiments, a garment collection with four total looks was designed inspired by Vivaldi’s “Four Seasons”. Findings Among the materials used, TPU, a flexible filament, yielded the best results. Because of the rigid properties of PLA and ABS, chain-like structures were printed to create relatively flexible surfaces, but the results were still not successful enough to create a clothing material. Therefore, TPU was preferred for the garment material selection. Originality/value In this study, combinations of 3D printed flexible structures and different types of fabrics were used to create a garment collection. It was concluded that, with the right material selection, 3D printing can be used as an alternative method to create a new aesthetic language in fashion design.

Acceptability of Aso Oke as work and casual wear among Tertiary institution female staff in Damaturu, Yobe State, Nigeria

The purpose of this study was to investigate the acceptability of Aso-Oke for casual and work wear clothes among tertiary institution female staff in Damaturu, Yobe State, Nigeria. Three different types of Aso-Oke; etu, alaari and sanyan were purchased in Oja-Oba market in Ilorin, Kwara State. Three types of garment design were produced from fabrics; gown, skirt suit and straight line skirt. Structured questionnaires were used as instruments for data collection. Most respondents are also aware of the different types of fabrics, but the majority complains that they did not drape well on the body, though they agreed that if it is well designed, it can be used both as casual and work wear. The bulk of the respondents asserted that the majority of fashion designers did not know how to sew fabrics. Hence, they need more training in the methodology of sewing the fabrics, especially the joining of the strip fabrics and the cutting to prevent fraying. It is recommended that people should be encouraged to set up the weaving shed of Aso Oke in Damaturu or any part of the north east. It will help to diversify culture and serve as a means of livelihood.

A systematic automated grasping approach for automatic manipulation of fabric with soft robot grippers

PurposeThe garment industry will be one of the major beneficiaries of advances in smart manufacturing, as it is highly labor-intensive and heavily depends on labor force. Manipulating robots in human environments has made great strides in recent years. However, the main research has focused on rigid, solid objects and core capabilities such as grasping, placing remain a challenging problem when dealing with soft textiles. The experimental results indicate that adopting the proposed bionic soft finger will provide garment manufacturers with smart manufacturing capabilities. Then, the purpose of this paper is to utilize the flexibility of the soft finger to transfer fabric layer by layer without damage in garment automation.Design/methodology/approachIn this paper, a new way to separate layer by layer pieces of fabric has been inspired by the rise of soft robotics and their applications in automation. Fabric gripping is accomplished by wiping deformation and pinching the fabric. A single fabric piece is separated from cutting pile by the soft finger in four steps: making an arch by pressing, wiping deformation, grasping and separating, and placing.FindingsThe case study demonstrated that the soft finger arrangement for automated grasping of fabric pieces of a garment can be successfully applied to delicate fabric. A combination of cloth shape and weight determines the number of soft fingers. In addition, the soft finger was tested on different types of fabrics to determine its performance and application capabilities. The technology may be used to produce clothing intelligently in the future, such as intelligent stacking, intelligent transportation and intelligent packaging, to increase clothing industry productivity.Originality/valueAn industrial bionic soft finger gripping system is proposed in this paper for application in the field of fabric automatic manipulation. A piece of fabric could be picked up and released layer by layer from a stack by the proposed gripper without creating any damage to it. Soft grippers have the right proportion of softness and rigidity like a human being. A soft finger has a potential affinity for soft materials such as fabrics without damaging either their surface or their properties.

Analysis of Steaming Ecoprint Techniques on Various Fabrics

Experimental analysis research is an effort to test textile materials that are suitable for making textile motifs with the stem eco print technique in order to find good quality textile materials. The development of fashion has had a major impact on one's creativity in processing and developing its products. The ecoprint technique is an option in making product variations. Textile materials suitable for stem techniques and raw materials to produce unique fabric motifs. This type of research is descriptive qualitative to observe the color results of the same type of leaves on different types of fabrics. The eco print results from three fabric materials, namely, ero, mori, and cotton, there are significant differences, the influence of the raw material for leaves as the media looks the best for ecoprint media, there are 2, namely cotton. Mori Cotton and Japanese Cotton for clothing materials. While the calico cloth is for household linen

Effect of Ageing of Seminal Stains on Their Detection on Fabrics In Criminal Investigation

In sexual assaults the presence of semen on the crime scene, victim or suspect’s belongings acts as crucial evidence for establishing the occurrence of the crime. Fabrics are a common piece of evidence obtained at such crime scenes. The detection of seminal stain on a fabric depends on various factors such as absorption by the fabric, the colour and texture of fabric, the age of the stain, environmental conditions, etc. The current study was conducted on three different types of fabrics: cotton, nylon and denim and were exposed to a temperature of 25˚C for four different time durations- 1 day (24 hours), 3 days (72 hours), 5 days (120 hours) and 7 days (168 hours). Three different tests were performed on the samples to be tested. Accordingly, fluorescence test, Barberio’s test and Christmas tree staining test were carried out. It was determined that the fluorescence of the seminal stain increased with increasing time duration. The observations made in Barberio test was however, not seen to be affected by the time intervals. It was also observed

The killer outfit and timing: Impact of the fabric and time in body fluid identification and DNA profiling

The present work aimed to study the detection, through lateral flow immunochromatographic (LFI) tests, of saliva samples over time in three different types of fabrics, as well as, the possibility of DNA isolation and characterization from the sample tubes and the cassettes. Fifty microliters of saliva (three samples/time) were deposited in denim, cotton, and polyester. Saliva was identified by SERATEC® Amylase Test and the Crime Scene version SALIVA CS, being able to detect it up to six months of deposition, although with different band intensities. Polyester showed stronger bands than cotton, probably due to its synthetic nature, and denim, as an inked fabric, showed less band intensities. Statistical analyses confirmed significant differences among fabrics, but not over time in the same type of fabric. Total DNA from the sample tubes was successfully recovered, in contrast, from the cassettes, only polyester retrieved amplifiable DNA. These findings indicated that it is possible to recover and identify saliva up to six months after deposition, also obtaining DNA. Future research will be able to expand these results, analyzing the stability of other body fluids, and the sensitivity of lateral flow immunochromatographic tests to detect them.

The Perfect Match: Assessment of Sample Collection Efficiency for Immunological and Molecular Findings in Different Types of Fabrics.

Body fluid identification at crime scenes can be crucial in retrieving the appropriate evidence that leads to the perpetrator and, in some cases, the victim. For this purpose, immunochromatographic tests are simple, fast and suitable for crime scenes. The potential sample is retrieved with a swab, normally a cotton swab, moistened in a specific buffer. Nonetheless, there are other swab types available, which have been proven to be efficient for DNA isolation and analysis. The aim of this study is to evaluate the efficiency of different swab types for body fluid identification as well as DNA isolation and characterization. Fifty microliters of human saliva were deposited in three different types of fabric (denim, cotton, and polyester). After 24 h at room temperature, samples were recovered by applying three different swab types, and the tests were performed. Subsequently, total DNA was recovered from the sample buffer. Cotton swabs performed worse in denim and cotton fabrics in both immunochromatography tests and DNA yield. No differences were observed for polyester. In contrast, and except for two replicates, it was possible to obtain a full DNA profile per fabric and swab type, and to identify the mtDNA haplogroup. In this paper, the impact of swab types on body fluid identification through the application of immunochromatographic tests is analyzed for the first time. This work corroborates previous research related to the influence of swab types in nuclear DNA isolation and characterization.

Recycling of textile wastes, by acid hydrolysis, into new cellulosic raw materials

Chemical recycling can be used to separate fibers that are constituents of different types of fabrics. This type of process can be considered one of the most effective forms of recycling, given that a large part of fabrics is made up of fiber mixtures. As part of an innovative circular strategy, the main goal of this work was to study the conditions for extracting cellulose from mixed textile wastes by acid hydrolysis and further transform it into cellulose derivatives, thus contributing to reduce such wastes and expanding the possible sources of cellulose. Our work covers a wide range of textile wastes and addresses the main technical challenges of this recycling methodology. The percentage of recovered cellulose powder varies between 65 and 88%. To evaluate the feasibility of using the extracted cellulose as raw material to produce cellulose derivatives, two strategies were applied: etherification to obtain sodium carboxymethylcellulose (with degree of substituion between 0.27 and 0.61) and esterification, to obtain cellulose acetate (with degree of substituion of 2.59). The cellulose derivatives obtained are very useful as additives in the textile industry, and hence the concept and practice of a circular economy are promoted.

Development of universal fabric dyeing and adhesion through RF glow discharge plasma treatment

Various dyeing techniques are utilised at dyeing different types of fabrics and current study discuss the possibility of using a single dye bath for the given purpose. The current study utilised a radio frequency glow discharge plasma source maintained at near atmospheric conditions (around 200 mbar) in nitrogen and air environments to treat cotton, nylon, and polyester fabrics. Similar surface modifications produced in all three types of fabrics by OH and O radicals tailoring them more sensitive to certain dyes and glues. SEM images verified that bulk material is well protected by plasma treatment and the presence of additional surface functionalities (hydroxyl, carboxylic, and carbon-nitrogen groups) on the treated fabric surfaces were determined by FTIR and XPS analysis. The plasma-treated samples were dyed in a single dye bath using a reactive dye under atmospheric neutral conditions and a significant enhancement in fabric dyeability (cotton- 124%, nylon- 61%, polyester- 38%) was observed. PVA glue was used for fastening the fabric samples and the adhesion was analysed through tensile measurement. Well improved adhesion capabilities (148%, 95%, and 57.3% respectively for cotton, nylon, and polyester) also confirm the advantages of RF glow discharge plasma treatment for unified fabric processing.

Finite element analysis of fibreglass and carbon fabrics reinforced polyethersulfone membranes

Despite promising applications of polyethersulfone (PES) membranes in several advanced technologies (gas separation, clean energy, water treatment, etc.), their weak mechanical strength (2.54 MPa) remains the main obstacle for upgrading and is mainly responsible for its shorter service time, especially in high pressure applications. In this context, this research aims to improve the mechanical properties of the PES membrane by supporting it with a substrate made of woven fabric with high mechanical strength and porosity to ensure that the pores of the membrane are not clogged, thus maintaining their permeability. The PES composite membranes were prepared by combining different types of fabrics (glass fibre “GF” and carbon fibre “CF”) using the phase-inversion method. The cross-section microstructure, surface morphology, fabric cohesion with a PES thin layer, roughness, and specific surface area and pore size distribution were observed using a scanning electron microscope, atomic force microscopy, and Brunauer–Emmett–Teller. Meanwhile, the mechanical, chemical, and thermal properties of composite membranes were monitored using tensile test, X-ray Powder Diffraction, Fourier Transform Infrared Spectroscopy, and Thermal Gravimetric Analysis. Finally, the mechanical measurements of the prepared membranes and their crack propagation were modelled as a sandwich-structured composite using the finite element method (FEM). The results revealed that the support layer can increase the strength of membranes up to 207 MPa (GF/PES) and 245 MPa (CF/PES), while maintaining its porous structure in the range of 64–67 nm. Also, the thermal stability of the membranes increased up to 64–67 wt% compared with the neat PES membrane. Besides, both membranes exhibited high roughness in the range of 363–939 nm. Meanwhile, the FEM succeeded in predicating and simulating the load-deformation curves for both membranes with a match of > 98%. Based on these results, woven fabrics can be used as a promising support layer to improve the mechanical performance and service life of PES membranes.

ECO-FRIENDLY TECHNOLOGY FOR REACTIVE DYEING OF CATIONIZED FABRICS: PROTIC IONIC LIQUIDS AS INNOVATIVE MEDIA

Because of the limitations of traditional dyeing technologies, large amounts of water and chemical additives are used in the dyeing processes, resulting in enormous quantities of polluted wastewater, which has a huge health and environmental potential impact. In the last few years, the interest in researching alternative techniques/materials for the textile industry to reduce the consumption of water used to improve dyeing quality, has considerably increased. Continuing previous research, in this paper, we present a non-aqueous dyeing procedure, testing different types of fabrics with a polyfunctional reactive dye and protic ionic liquids (PILs) as reaction environment, and with cationization pretreatment of the tested fibers. To analyze the effectiveness of the proposed procedure, currently established dyeing quality parameters, such as color absorption and wash fastness of the dyed multifiber fabrics, have been measured and analysed. The obtained dyeing results should be explained by the affinity of cationized multifibers to the reactive dye, as well as by the efficiency of the mechanisms of dye diffusion and chemical bonding on the tested fabrics in protic ionic liquid environment. This new proposed “universal dye” for all kinds of fibers in PIL environment was analyzed under different operational dyeing conditions. The obtained results were satisfying when compared with standard dyeing quality parameters reported in earlier published literature, thus opening opportunities for innovation and optimization.

Performance analysis of socks produced by auxetic yarns for protective applications

The present work reports application of auxetic yarns in development of abrasion resistant socks which can be used for better serviceability without shoes even on rough surfaces. Socks used in the current research were produced by using helical auxetic yarns which consist of different combinations of high performance and conventional materials e.g. Kevlar P-AR (para-aramid), cotton, elastomeric yarn, polyamide (PA6) and polyester with same linear density of 74 Tex. Three different types of fabrics were produced e.g. flat knit, sandwich half terry short and sandwich half terry long. For investigating the auxeticity, all samples were subjected to tensile loading and the resulting change in their thickness was measured. Abrasion resistance and other comfort related properties e.g. air permeability, vertical wicking and absorbency were also evaluated. The influence of different yarn combinations, twist levels and fabric types on abrasion resistance and breathability of socks were investigated by using fractional (half) factorial design. Statistical analysis was performed for the obtained results by using analysis of variance. Conventional socks samples were also produced in all fabric types for comparison with the auxetic materials. From the results it was concluded that the overall abrasion resistance of auxetic yarn-based sock is higher than conventional cotton sock. Results also revealed that abrasion resistance was increased by 46% in flat knit socks sample, 50% in sandwich half terry short sample and 58% in sandwich half terry long sample as compared to conventional cotton sock. In addition to this all the socks samples exhibited good comfort/breathability properties.

Effect of fabric electron radiation on increasing the antibacterial coating and perfume longevity

In this paper, we studied the effect of electron beam irradiation on the fabric to increase longevity of antibacterial coating and perfume release and measure it using the optical properties of the fabric. In other words, instead of using chemical compounds in the antibacterial coating and perfume structure, the change in the structural properties of the fabric as a substrate of antibacterial coating and perfume was examined. Three different types of fabrics, including fabric with polyester and cotton, fabric with felt and flannelette, and fabric with flannelette and cotton floss were irradiated at different doses without alcohol and in the presence of alcohol (96% ethanol) at an energy of 10 MeV with an electron beam of the Rhodotron accelerator TT200. Then, these three types of fabrics were impregnated with antibacterial coating and perfume after washing with cold water. Finally, the longevity of antibacterial coating and perfume on them was measured by using the Particle Density Reflection Parameters and He-Ne laser with a wavelength of 632 nm and a power of 5 mW. Experimental results showed that electron beam irradiation of the fabric in the presence of alcohol enhanced this property.