Types Of Fabrics Research Articles

Vacuum components obtained by 3D printing using biodegradable plastic

This work investigated the behavior of vacuum components obtained by 3D printing using a biodegradable plastic called PLA (polylactic acid). This material was chosen because it has low cost and low environmental impact. The most used printing technique for this material is the fused filament fabrication (FFF) type. The vacuum components were obtained from the deposition of molten PLA filaments. However, traditional printing techniques are not optimized for vacuum behavior. Therefore, a unidirectional deposition method was developed, which significantly increased the performance. Furthermore, surface treatments were carried out to further enhance the results, makin it possible to obtain vacuum components for operation in the 1 mbar range possible.

Paleoproteomic identification of the species used in fourteenth century gut-skin garments from the archaeological site of Nuulliit, Greenland

Until recently, the identification of the species of origin for skin and fur materials used in the production of archaeological clothing has been based on the analysis of macro- and microscopic morphological features and on the traditional knowledge of Indigenous groups. This approach, however, is not always applicable due to the deterioration of the archaeological objects. Paleoproteomics was used as an alternative approach to identify the species of origin of fifteen samples of various tissues from approximately 600-year-old garments found in Nuulliit, northern Greenland. Proteomics revealed that a limited group of marine and terrestrial mammals were used for clothing production. The results obtained from the analysis of multiple types of clothing and elements, such as sinew thread and gut skin, suggest that their applications were based on their properties. When conclusive assignment of a sample to a species via proteomics was not possible, the observation by transmitted light microscopy of feather and hair micromorphology, if not affected by diagenesis, was used to improve the identification. The proteomic characterization of animal materials used for clothing production in the Nuulliit archaeological context provides an insight into the practical knowledge and the strategies adopted by the local Indigenous community to exploit natural resources.

Prilaku Simbolis Jama’ah Tabligh

Symbolic behavior in the context of the Tablighi Jama'ah includes various practices, including the use of typical clothing, the practice of shaking hands, the practice of eating together, the way of walking, and the emphasis on preaching and religious activities. Some people see this symbolic behavior as a form of expression of strong faith, while others see it as self-isolation.This research uses a descriptive method with a phenomenological approach. Primary data sources and secondary data, primary data sources in this research are works and books which are the main guidelines for the Tablighi Jama'ah. Meanwhile, secondary data from this research are the works of experts in their respective fields. The research results show that the religious symbols and behavior practiced by the Tablighi Jama'ah have given rise to various interpretations among Muslims. These differences in interpretation are caused by differences in viewpoints in understanding one group versus another, which can lead to divisions. Even though Islam is a religion of rahmatan lil 'alamin which protects all its adherents.

Prevalensi Bakteri Staphylococcus aureus Pada Pakaian Bekas di Pasar Panorama Bengkulu

The aim of this research is to determine the existence of Staphylococcus bacteria in second hand clothes at Pasar Panorama Bengkulu. This research used an observational method by counting the population of Staphylococcus bacteria in various types of second hand clothes. The collected clothes were diluted and the staphylococcus were isolated by using nutrient agar as a growth media. The results of this research showed that there were bacterial colonies produced from second clothes with the highest number of colonies on cotton clothes, 35 X 103. The research is expected to have a contribution as a consideration for the community when buying second clothes and build public awareness to prevent transmission of the disease caused by them.

Determination of angle of impact and directionality of drip stains on various fabrics

Bloodstain pattern analysis (BPA) on absorbent surfaces, such as fabrics, is far more complex compared to its application on smooth, hard, non-porous surfaces. Angle of impact and directionality are commonly interpreted from bloodstains but may be adversely affected by porous surfaces. In fact, there is a lack of evidence that traditional approaches to BPA are even applicable when blood impacts absorbent materials such as clothing and other fabrics. Hence, there is a critical need for research focusing on the validity and reliability of methods for bloodstain pattern analysis on textiles. Here, human blood drops were deposited on six different fabric types (cotton, satin polyester, rayon, blended polyester/spandex, blended nylon/spandex, and blended modal/polyester/spandex) at two known impact angles: 30° and 10°. Bloodstain morphology was found to be unique for each fabric. Calculated angles of impact for cotton and satin polyester were not statistically different from the known angle of impact while blended polyester/spandex, blended nylon/spandex, and blended modal/polyester/spandex significantly underestimated the known angle of impact. Even when stain morphology on fabric resembled those on a glass control, the angle of impact significantly underestimated the known. The ability to assign directionality based upon bloodstain morphology was dependent on the fabric type. These findings support the need for further research and the development of guidelines for bloodstain pattern interpretation on fabric materials.

Comparison of Mechanical Property Simulations with Results of Limited Flexural Tests of Different Multi-Layer Carbon Fiber-Reinforced Polymer Composites.

This article is focused on the experimental study of flexural properties in different multi-layer carbon fiber-reinforced polymer (CFRP) composites and correlations with the results of finite element method (FEM) simulations of mechanical properties. The comparison of the results shows the possibility of reducing the number of experimental specimens for testing. The experimental study of flexural properties for four types of carbon fiber-reinforced polymer matrix composites with twill weaves (2 × 2) was carried out. As input materials, pre-impregnated carbon laminate GG 204 T and GG 630 T (prepreg) and two types of carbon fiber fabrics (GG 285 T and GG 300 T (fabric)) were used. Multi-layer samples were manufactured from two types of prepregs and two types of fabrics, which were hand-impregnated during sample preparation. The layers were stacked using same orientation. All specimens for flexural test were cut with the longer side in the weft direction. Pre-impregnated carbon laminates were further impregnated with resin DT 121H. Carbon fabrics were hand-impregnated with epoxy matrix LG 120 and hardener HG 700. To fulfill the aim of this research, finite element method (FEM)-based simulations of mechanical properties were performed. The FEM simulations and analysis were conducted in Hexagon's MSC Marc Mentat 2022.3 and Digimat 2022.4 software. This paper presents the results of actual experimental bending tests and the results of simulations of bending tests for different composite materials (mentioned previously). We created material models for simulations based on two methods-MF (Mean Field) and FE (Finite Element), and the comparative results show better agreement with the MF model. The composites (GG 285 T and GG 300 T) showed better flexural results than composites made from pre-impregnated carbon laminates (GG 204 T and GG 630 T). The difference in results for the hand-impregnated laminates was about 15% higher than for prepregs, but this is still within an acceptable tolerance as per the reported literature. The highest percentage difference of 14.25% between the simulation and the real experiment was found for the software tool Digimat FE 2022.4-GG 630 T composite. The lowest difference of 0.5% was found for the software tool Digimat MF 2022.4-GG 204 T composite. By comparing the results of the software tools with the results of the experimental measurements, it was found that the Digimat MF 2022.4 tool is closer to the results of the experimental measurements than the Digimat FE 2022.4 tool.

Spatio-Temporal Analysis of Resources and Waste Quantities from Buildings (as Urban Mining Potential) Generated by the European Metropolis of Lille: A Methodology Coupling Data from Construction and Demolition Permits with Geographic Information Systems

The aim of this article was to conduct a spatial and territorial analysis of the urban mining potential of the European Metropolis of Lille (MEL), which had 1,174,273 inhabitants in 2018. This involved quantifying construction and demolition waste (CDW) deposits and analyzing their spatial distribution. The chosen quantification approach utilized building and demolition permits as input data, along with waste diagnostics for Construction and Building Materials Products (CBMPs) obtained from stakeholders in the building sector. Waste quantities were estimated using the production rate calculation method (GRC). Specifically, the calculation based on surface area combined with GIS geographic information systems. CDW quantities were categorized by demolition rehabilitation and construction; by type (hazardous non-hazardous inert); and by urban fabric. For the MEL area, the findings revealed that building sites covered the largest surface area, with over 8 million m² being constructed between 2013 and 2022. The construction activity, including renovation, is expected to constitute approximately 20% of the MEL’s building stock from 2013 to 2022. During the same period, 5.51% of the MEL’s building stock was demolished. This corresponds to nearly 6 million tons of CDW being generated during this period, averaging 661318 tons per year. Demolition sites contributed 73% of the total CDW production, compared to 22% for new construction and 4% for renovation sites. Inert waste continued to dominate the composition of waste, accounting for 90% of the total with 9% for non-hazardous waste and 1% for hazardous waste. Semi-detached and grouped houses business fabrics and townhouses or collective fabrics were identified as the primary type of waste-producing urban fabrics. Furthermore, our GIS-based methodology enabled the analysis of CDW quantity distribution by municipality, providing essential data for understanding the urban mining potential and the disparity between construction material requirements for new buildings and resources derived from building demolition. This approach facilitates the assessment of (1) a geographical area’s reliance on construction materials, and (2) the significance of reusing and recycling products equipment materials and waste (PEMW) in new construction to achieve circular economy objectives and to comply with the Extended Producer Responsibility (EPR) channel initiated in France in 2023. Over the period from 2013 to 2022, annual construction material requirements remained significantly higher than resources from building demolition and rehabilitation, ranging between 29% and 35%. Additionally, the analysis indicated a potential 41% rate of substitution of new construction materials with secondary primary materials in the MEL, varying by municipality and typology, with higher rates in rural communities and lower rates in urban communities.

STYLESYNC: A FASHION RECOMMENDATION SYSTEM

Our project focuses on an AI-powered Fashion Recommendation System tailored to assist users in curating outfits for diverse occasions. Users upload clothing images to create individualized wardrobes. Employing machine learning and deep learning, our system accurately classifies clothing types and identifies colors within these images. The core of our innovation lies in a sophisticated recommendation algorithm. By analyzing users' existing wardrobes, including garment types and colors, our algorithm delivers personalized outfit suggestions aligned with users' style preferences and specific event needs. The interface prioritizes user-friendliness, enabling seamless wardrobe management and presenting users with well-matched outfit recommendations. Continuous refinement through user feedback ensures ongoing enhancement of recommendation accuracy, user experience, and machine learning model performance. In summary, our AI-driven Fashion Recommendation The system aims to streamline the process of dressing for diverse occasions, offering personalized outfit suggestions based on individual wardrobes, thus empowering users with convenient and stylish clothing choices. Keyword – fashion-recommendation, Feature extraction, recommendation system, data analysis, transfer-learning, javascript, python, bootstrap, npm, machine learning, computer vision, deep-learning, reactjs, material-ui, sklearn, Collaborative Filtering, Content-Based Filtering, Deep Learning, Feature Extraction, Natural Language Processing (NLP), Image Recognition.

The impact of boron carbide in soft and hard body armor: A comprehensive evaluation on Kevlar and UHMWPE fabrics

AbstractIn this research, an investigation was conducted to ascertain the impact of boron carbide (B4C) microparticles on soft and hard armor configurations, utilizing two distinct high‐performance fabrics namely, Kevlar and Ultra‐high Molecular Weight Polyethylene (UHMWPE), also this work discerned the optimal fabric for protection against dagger attacks and 9 mm full metal jacket (FMJ) projectiles. Initially, rheological tests on four shear thickening fluid (STF) samples revealed that 70% of nano‐silicate (SiO2) content was the optimal ratio. Besides, scanning electronic microscope (SEM) tests showed that B4C affected the nano‐silicate dispersion. Hence, the use of STF as a matrix, led to complete protection in low‐velocity stab test and behavior improvement when subjected to NIJ ballistic test for both fabric types. On the other hand, the dynamic mechanical analysis (DMA) of the thermosetting epoxy resin‐based composites reinforced by B4C indicated that the 10% ratio offered maximum rigidity, resulting in improved ballistic performance. This study revealed that Kevlar fabrics exhibit superior behavior in soft protection, while UHMWPE hard composite display further rigidity against high‐velocity impacts. Overall, this work contributes novel insights into the efficiency of B4C integration within soft and hard armor configurations using two ballistic fabrics, highlighting their performance characteristics in ballistic shielding.Highlights Investigation of B4C microparticles: The research examines the impact of B4C microparticles on soft and hard armor configurations. High‐performance fabrics: Kevlar and UHMWPE uses. The use of STF as a matrix for soft and thermosetting epoxy resin for hard armor: enhanced composite performance. Low‐velocity and high‐velocity impact tests investigations; microparticles B4C incorporation: superior mechanical characteristics. Remarkable energy absorption: promising shielding uses.

Micro-environment inside disposable medical protective clothing and its improvement

Disposable medical protective clothing (DMPC) can cause severe discomfort and even safety problems to wearers, especially during summertime in warm climates. This study investigated the micro-environment (air temperature (TDMPC) and relative humidity (RHDMPC)) in the space between the DMPC and the body, as well as the physiological and subjective sensations of wearers under typical conditions in a controlled climate chamber. Three types of clothes drying and cooling (CDC) techniques, including desiccant (CDC1), phase change material (CDC2), and the combination of both (CDC3), were then evaluated. Under typical conditions in hot and humid regions (30 °C, 70 %), TDMPC stabilized at about 33.5 °C in 40 min and RHDMPC stabilized in the range of 85–100 % after 80 min. When the ambient air temperature increased to 36 °C, the TDMPC increased to about 36.5 °C during activities such as sitting and standing-talking, while the forehead temperature of DMPC wearers reached 38.0 °C in 40–60 min and continued to rise. It implies that 40 min should be the maximum recommended working period for DMPC wearers at such ambient temperature and activity level. The proposed CDC3 reduced TDMPC by 1.2–1.8 °C during the experiment. The use of CDC3 effectively reduced the participants' thermal sensation vote from “2” or “3” (“hot” or “very hot”) to below “1” (warm) and the sweating sensation vote from “3” or “4” (“slight sweat” to “skin became clammy”) to below “2” (“no sweat but sticky skin”) under low and moderate activity levels.

End-effector with winding and scooping functions for folding and transporting various cloth parts after cutting

In this study, we propose a novel end-effector that combines the characteristics of winding and scooping fabrics to grasp and categorically place various cloth parts cut by a cutting machine. In addition, we introduce a method for folding the fabric front and back into smaller dimensions, thereby reducing the space required for categorizing, placing, and packaging various clothes, which, to the best of our knowledge, is unique. Subsequently, we develop a method that autonomously determines folding strategies based on the different dimensions of cloth parts, allowing targeted processing of various cloth parts. This approach reduces the height demands of the robot and improves its capability to simultaneously handle multiple types of clothes. Finally, we evaluate the proposed end-effector and folding method in a simulated factory environment using T-shirt parts made of different materials.

Investigation of forming process and deformation mechanisms of 3D warp interlock fabric

This article introduces a modeling method aimed at predicting the internal geometric structure of 3D warp interlock fabric. Inspired by the digital element method, the method employs truss elements to model the yarns as fiber bundles, and considers their material properties. This technique allows for predicting the microstructure of 3D woven fabric based on simple input characteristics. By varying the elastic modulus of virtual fibers, the friction coefficient between fibers, and the tension load at the ends of yarns, and designing compression molding molds to compress the fabric into shape, the virtual fiber fabric predicted the influence of variables on the fabric. The study found that the structure of the samples obtained through CT scanning is generally consistent with the structure of the virtual fiber fabric. The elastic modulus has a relatively minor impact on the fabric structure, whereas the friction coefficient and tension load significantly affect the cross-sectional shape of the yarns. During compression molding, deformation within the mold leads to interlayer fabric slippage and changes in the cross-sectional shape of the fabric. This suggests the feasibility and applicability of virtual simulation testing methods for analyzing the behavior of various types of 3D woven fabrics.

SURGICAL WASTE AND A CIRCULAR MEDICAL TEXTILE ECONOMY

IntroductionThe health sector contributes the equivalent of 4.4% of global net emissions to the climate carbon footprint. It has been suggested that between 20% and 70% of health care waste originates from a hospital's operating room, the second greatest component of this are the textiles used, and up to 90% of waste is sent for costly and unneeded hazardous waste processing.Waste from common orthopaedic operations was quantified, the carbon footprint calculated, and cost of disposal assessed. A discussion of the circular economy of textiles, from the author of the textile guidance to the Green Surgery Report follows.MethodsThe amount of waste generated from a variety of trauma and elective orthopaedic operations was calculated across a range of hospital sites. The waste was separated primarily into clean and contaminated, paper or plastic. The carbon footprint and the cost of disposal across the hospital sites was subsequently calculated.ResultsElective procedures can generate up to 16.5kg of plastic waste per procedure. Practices such as double draping the patient contribute to increasing the quantity of waste. The cost to process waste vary widely between hospital sites, waste disposal contractors and the method of waste disposal.ConclusionThis study sheds new light on the environmental impact of waste produced in trauma and elective orthopaedic procedures. Mitigating the environmental impact of the operating room requires a collective drive for a culture change to sustainability and social responsibility. Each clinician can impact upon the carbon footprint of their operating theatre. Consideration should be given to the type of textiles used within the operating theatre.

Improvement of Quality Performance in Mask Production by Feature Selection and Machine Learning Methods and An Application

With the development of technology, large databases become more accessible thanks to automation systems that automatically keep data and allow the use of large databases in many areas. Machine learning approaches, a sub-branch of artificial intelligence, are used in making decisions about the process by analyzing the data stored in databases and converting them into information. In this paper, the body production process of the surgical (medical) mask is analyzed. As it is known, surgical masks have become a part of our lives by becoming widespread all over the world with the COVID-19 pandemic. In the surgical mask body production process, using the real data of the production factors, first of all, filtering feature selection methods and analyzes were made and the feature selection method to be used was determined. With the specified feature selection method, the factors affecting the product quality are determined. Secondly, machine learning methods were used to determine the values and value ranges of factors (features) in the production of defect-free products. The performances of the machine learning models established in the second stage were increased by feature selection analysis. In the study, together with the parameter optimizations made to machine learning algorithms, it was seen that the best algorithm to estimate the defective product rate was the Ibk algorithm with 92.3% accuracy, 91.9% F measurement and 93% AUC value. Finally, in line with the decision rules revealed in the study, it was observed that the fabric types used for the upper/middle/lower layers that make up the body part in the mask body production process greatly affect the rates of defective or defect-free products. If the rod apparatus around the nose belongs to class k, it has been determined that many masks are defective. Improvement suggestions were presented according to the application results.

Study of Structural Parameters of Weft Knitted Spacer Fabrics on Wound Dressing Performance

This research aimed to develop wound dressings from weft-knitted spacer fabrics as an alternative to existing dressing options. A Stoll Type CMS530 HP electronic flat knitting machine was used to develop spacer weft knitted fabrics, which were tested with various experimental configurations by adjusting the linking distances, spacer yarn ratios, and inlays for proper optimization. Fabric physical and performance properties were evaluated to determine the application of wound dressings and the influence of structural differences. The result showed that the fabric with nylon-to-cotton yarn containing a linking distance setting of 6 needles at a ratio of 1:3, had the highest total performance value, making it the most appropriate fabric for exudate dressing in humid environmental conditions. The fabric with the highest water absorption capacity, and moisture management fabric type was the most effective.

SYNTHESIS OF SURFACTANTS FROM NATURAL RAW MATERIALS

This article presents a surfactant synthesized from a mixture of palmitic, oleic, and stearic acids obtained by the distillation and fractionation of oils and fats, as well as ethanol. The synthesis was carried out in 4 stages, which involved the initial formation of an acid mixture, followed by esterification, sulfonation, and ultimately saponification. The composition of the fatty acid mixture was analyzed using chromatography, revealing that palmitic acid makes up the largest proportion at 64.3%, followed by oleic acid at 29.1%. The structure and properties of the surfactant were investigated using modern methods and instruments. The average particle size of the surfactant indicates that it can be classified as a highly dispersed system, with particle diameters ranging from 10 nm to 1 μm. It was observed that the particle size of the surfactant increases once the critical concentration of micellization is reached. The stability of the system in the substance is indicated by a ζ-potential that falls outside the range of 30 mV < ζ < -30 mV. The resulting product exhibits good surface-active properties such as detergency, emulsification, wetting, and foaming ability. According to hydrophilic-lipophilic balance calculations, the synthesized surfactant is classified as a detergent. It demonstrates a high ability to remove pigment-oil and protein contamination at a concentration of 4.0 g/dm3, regardless of the fabric type. Additionally, it was found that the synthesized surfactant exhibits significant emulsifying ability towards industrial oils. The analysis of the surface tension of the surfactant showed that its critical concentration for micelle formation is 4.0 g/dm3. The surfactant demonstrates high wetting abilities on both hydrophilic and hydrophobic surfaces. The foaming properties of the surfactant are satisfactory compared to known surfactants from petrochemical raw materials. Moreover, stable foaming is observed, which directly depends on the surfactant concentration. For citation: Lutfullina G.G., Valeeva E.E. Synthesis of surfactants from natural raw materials. ChemChemTech [Izv. Vyssh. Uchebn. Zaved. Khim. Khim. Tekhnol.]. 2024. V. 67. N 6. P. 45-54. DOI: 10.6060/ivkkt.20246706.6984.

PENGARUH CITRA MERK, HARGA DAN KUALITAS PRODUK TERHADAP LOYALITAS KONSUMEN PADA PRODUK ZARA DI PONDOK INDAH MALL 2 JAKARTA SELATAN

Consumers in buying goods and services consider the quality of the product and also the price. Another consideration is the brand image of the goods or services to be purchased. If the brand of goods is well known enough, consumers will buy these goods. Affordable prices, good product quality and a recognized product brand image encourage consumers to repurchase these products so that consumers become loyal. Clothing is one basic product that human need. Many types of clothing are created according to the wishes of consumers, so that business opportunities in fashion arise. Fashion includes clothing and accessories. Business competition in the fashion sector is getting tighter. Zara as one of the foreign retailers enlivened the fashion in Indonesia. Zara stores can be found in several places, one of them is in Pondok Indah Mall2. Zara has always been a trend setter and created a very good brand image, the best price, and the quality of its products has advantages. By providing quality products, it will provide satisfaction to consumers so as to create loyalty in consumers. This study aims to determine the effect of brand image, price, product quality on consumer loyalty to Zara products at Pondok Indah Mall2, either partially or simultaneously. The results showed that partially only product quality has an effect on consumer loyalty to Zara products at Pondok Indah Mall2. Meanwhile, brand image has no effect on consumer loyalty to Zara products at Pondok Indah Mall2. Likewise, price has no effect on consumer loyalty to Zara products at Pondok Indah Mall2. But simultaneously brand image, price, product quality affect consumer loyalty to Zara products at Pondok Indah Mall2.

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.

Effect of aging on the mechanical properties of woven fabric-reinforced calcined diatomite substituted cement-based composites

The mechanical characteristics of polyester and flax woven fabric-reinforced, diatomite-substituted, cement-based composites have been examined at different ages within the scope of this study. The use of calcined diatomite in combination with a cement-based matrix aims to improve the mechanical performance within the composite as well as reduce carbon emissions. The consistency of cement-based and diatomite-substituted matrices with water-to-binder proportions of 0.28 and 0.45 was maintained at a fixed flow diameter of 235 mm with the adjusted use of a superplasticizer. The stress–strain graphs of the composites were obtained using an axial tensile testing machine and Linear Variable Differential Transformers (LVDT). The tensile strength, ductility, toughness development, and multi-crack performance of WFRC were obtained as a function of fabric type and aging. The effects of aging on tensile properties are discussed separately for each fabric type. Polyester woven fabric-reinforced composites were found to be superior to flax WFRC in terms of several mechanical properties at all ages. The substitution of diatomite further improved the tensile performance of the polyester woven fabric-reinforced composites. The fabric-matrix interface densification role of diatomite was determined by SEM/EDS line analysis. Evidence of a pozzolanic reaction between portlandite and diatomite was obtained through microstructure studies. Carbon emission analysis revealed that equivalent CO2 emissions could be reduced using diatomite in woven fabric reinforced composites. However, diatomite substitution caused a cost increasing effect.

Estimating Cloth Simulation Parameters From Tag Information and Cusick Drape Test

AbstractIn recent years, the fashion apparel industry has been increasingly employing virtual simulations for the development of new products. The first step in virtual garment simulation involves identifying the optimal simulation parameters that accurately reproduce the drape properties of the actual fabric. Recent techniques advocate for a data‐driven approach, estimating parameters from outcomes of a Cusick drape test. Such methods deviate from standard Cusick drape tests, introducing high‐cost tools, which reduces practicality. Our research presents a more practical model, utilizing 2D silhouette images from the ISO‐standardized Cusick drape test. Notably, while past models have shown limitations in estimating stretching parameters, our novel approach leverages the fabric's tag information including fabric type and fiber composition. Our proposed model functions as a cascaded system: first, it estimates stretching parameters using tag information, then, in the subsequent step, it considers the estimated stretching parameters alongside the fabric sample's Cusick drape test results to determine bending parameters. We validated our model against existing methods and applied it in practical scenarios, showing promising outcomes. (see https://www.acm.org/publications/class-2012)