Hasil untuk "Textile bleaching, dyeing, printing, etc."

Shuangshan Nors Li, J. Nathan Kutz

Mobile 3D printing on unstructured terrain remains challenging due to the conflict between platform mobility and deposition precision. Existing gantry-based systems achieve high accuracy but lack mobility, while mobile platforms struggle to maintain print quality on uneven ground. We present a framework that tightly integrates AI-driven disturbance prediction with multi-modal sensor fusion and hierarchical hardware control, forming a closed-loop perception-learning-actuation system. The AI module learns terrain-to-perturbation mappings from IMU, vision, and depth sensors, enabling proactive compensation rather than reactive correction. This intelligence is embedded into a three-layer control architecture: path planning, predictive chassis-manipulator coordination, and precision hardware execution. Through outdoor experiments on terrain with slopes and surface irregularities, we demonstrate sub-centimeter printing accuracy while maintaining full platform mobility. This AI-hardware integration establishes a practical foundation for autonomous construction in unstructured environments.

Zhuchenyang Liu, Yao Zhang, Yalan He et al.

Flex sensors are widely used in e-textiles for detecting joint motions and, subsequently, full-body movements. A critical initial step in utilizing these sensors is determining the optimal placement on the body to accurately capture human motions. This task requires a combination of expertise in fields such as anatomy, biomechanics, and textile design, which is seldom found in a single practitioner. Generative AI, such as Large Language Models (LLMs), has recently shown promise in facilitating design. However, to our knowledge, the extent to which LLMs can aid in the e-textile design process remains largely unexplored in the literature. To address this open question, we conducted a case study focusing on shoulder motion detection using flex sensors. We enlisted three human designers to participate in an experiment involving human-AI collaborative design. We examined design efficiency across three scenarios: designs produced by LLMs alone, by humans alone, and through collaboration between LLMs and human designers. Our quantitative and qualitative analyses revealed an intriguing relationship between expertise and outcomes: the least experienced human designer achieved continuous improvement through collaboration, ultimately matching the best performance achieved by humans alone, whereas the most experienced human designer experienced a decline in performance. Additionally, the effectiveness of human-AI collaboration is affected by the granularity of feedback - incremental adjustments outperformed sweeping redesigns - and the level of abstraction, with observation-oriented feedback producing better outcomes than prescriptive anatomical directives. These findings offer valuable insights into the opportunities and challenges associated with human-AI collaborative e-textile design.

Ashish Vishawanath Mohod, Matteo Aniello, Marina Zoccola et al.

The textile industries mostly rely on synthetic dyes, which contain nonbiodegradable components and high toxicity, making their use environmentally hazardous. The present research delves into the unique application of proteins extracted from the Black Soldier Fly (BSF) as a natural dye for wool fabrics. The hydrolyzates extracted from each insect material (larvae, cocoons and flies) using superheated water at 170 °C for 1 h were used as natural dyes for dyeing wool fabrics with and without mordant (ferrous sulfate, 5% o.w.f.). Fabrics treated with mordant-free hydrolyzate derived from cocoons showed the best results, with an increase in color strength (K/S value) from 0.43 to 2.78 with an increasing dye concentration from 2% to 50% o.w.f. Color fastness to washing shows that dyed fabrics undergo variable color changes (from grade 4 to grade 1) but release little dye onto other fabrics, especially wool and synthetic fibers. Dry and wet rubbing color fastness tests showed overall variable color fastness, with little color loss on the abraded reference fabric. Overall, this work emphasizes the possible use of hydrolyzate from BSFs as a natural and environmentally friendly dye, which may represent a promising alternative to synthetic dyes in the textile industry.

Dapeng Dong, Mingyang Wu, Yufan Yang et al.

Abstract The textile printing and dyeing industry generates a significant amount of wastewater with a complex composition during the production process, which poses a serious threat to the environment. To achieve sustainable environmental development, it is crucial to study and implement efficient, cost‐effective, and environmentally friendly wastewater treatment strategies. This article summarizes the primary pollutants found in textile printing and dyeing wastewater and describes their potential hazards to both the ecological environment and human health. A comprehensive review of currently widely used treatment technologies is presented, evaluating their removal efficiencies, operating costs, feasibility, and long‐term maintenance requirements. The challenges and limitations of existing treatment technologies are highlighted, and the issues encountered in practical applications are discussed. Future trends in the field of wastewater treatment are envisioned, emphasizing the urgency of developing sustainable technologies and the importance of wastewater resource utilization. Through this review, it is hoped that a greater understanding of sustainable treatment technologies for textile printing and dyeing wastewater will be fostered among industry professionals and research organizations, ultimately promoting the research and application of solutions that are more efficient, cost‐effective, and environmentally friendly.

Md Mahmudul Hasan, Chiara Bordin, Fairuz Islam et al.

This study aims to evaluate the optoelectronic properties of metal free porphyrin-based D-$π$-A dyes via in-silico performance investigation notifying energy informatics and decision support. To develop novel organic dyes, three acceptor/anchoring groups and five donating groups were introduced to strategic positions of the base porphyrin structure, resulting in a total of fifteen dyes. The singlet ground state geometries of the dyes were optimized utilizing density functional theory (DFT) with B3LYP and the excited state optical properties were explored through time-dependent DFT (TD-DFT) using the PCM model with tetrahydrofuran (THF) as solvent. Both DFT and TD-DFT calculations were carried out using the 6-311G(d,p) basis set. The HOMO energy levels of almost all the modified dyes are lower than the redox potential of I$^-$/I$3^-$ and LUMO energy levels are higher than the conduction band of TiO$2$. The absorption maxima values ranged from 690.64 to 975.55 nm. The dye N1 using triphenylamine group as donor and p-ethynylbenzoic acid group as acceptor, showed optimum optoelectronic properties ($ΔG{reg}=-9.73$ eV, $ΔG{inj}=7.18$ eV, $V_{OC}=1.47$ V and $J_{SC}=15.03$ mA/cm$^2$) with highest PCE 14.37%, making it the best studied dye. This newly modified organic dye with enhanced PCE is remarkably effective for the dye-sensitized solar cells (DSSC) industry. Beyond materials discovery, this study highlights the role of high-performance computing in enabling predictive screening of dye candidates and generating performance indicators (HOMO-LUMO gaps, absorption spectra, charge transfer free energies, photovoltaic metrics). These outputs can serve as key parameters for energy informatics and system modelling.

Mohammad Hassan Mazaherifar, Octavia Zeleniuc, Camelia Cerbu et al.

This paper evaluates the performance of composites made from date palm (<i>Phoenix dactylifera</i> L.) midribs reinforced with carbon fiber. Two types of adhesives—unsaturated polyester and epoxy resin—were used as binder for the experimental panels. The physical properties and mechanical strength of the composites, as a function of fiber types, lamination configuration, as well as adhesive types, were determined. The density levels of the panels made using epoxy and unsaturated polyester resin were found to be 1103 kg/m³ and 1133 kg/m³, respectively. Panels made using polyester adhesive had 6.05% and 3.98% for water absorption and thickness swelling values, respectively. Corresponding values of 3.09% and 6.35% were found for the panels made using epoxy resin. Mechanical properties of the samples revealed that carbon fiber-reinforced epoxy hybrids offer superior mechanical performance, whereas polyester-based hybrids may be more suitable for impact-resistant applications. Stereo-microscopy and vertical density profile (VDP) analysis of the panels resulted in variations in layer adhesion and density distribution. Based on the findings in this work, carbon fiber-reinforced epoxy-bonded hybrid panels exhibited superior mechanical properties, while those panels made using polyester-based binder would be more suitable where impact resistance is desired. The combination of date palm fibers and carbon fiber presents significant potential for sustainable applications, offering a balance of strength and durability.

Xiaofang Liu, Yue Sun, Xiaofen Ji et al.

Sports bras knitted with high-Young’s modulus materials are effective in reducing the range of breast movement (ROM), but also increase the contact pressure to the body, leading to discomfort or even body injury. Elasticity distribution was found to be a factor influencing both pressure and ROM, however, the mechanism has yet to be studied, limiting its application in the sports bra industry. This study aimed to investigate the quantitative relationships between Young’s modulus of different parts (C, S f , S b , B, U) and the performance metrics of sports bras in pressure and ROM for the optimization of both performance. A finite element (FE) model was developed to simulate the dynamic peak pressure at four test points and ROM for sports bras with different elasticity distributions during exercise. Based on which, a regression model was formed and the sensitivity factors (φ) were ranked through 2 5 full factorial analysis. The results revealed that the influence of Young’s modulus of each part varied with the pressure test points and the directions of ROM. Notably, the effect on pressure varied based on the placement of the test point relative to the part of sports bra. P 1 , P 2 , and P 4 were greatly influenced by Young’s modulus of the part covering the test point and the parts nearby, whereas P 3 was mainly influenced by U. The effect on ROM predominantly depended on S f , C, and U rather than S b and B. Therefore, the elasticity distribution design with relatively low S b and B, relatively high S f and U, and appropriate C was recommended to optimize both performances. These findings provide novel information for optimizing pressure comfort and breast support performance of sports bras, which is hoped to sever as a valuable reference for sports bra industry.

Gilbert De Mey, Izabela Ciesielska-Wróbel, Maria Strąkowska et al.

Short-time thermal exchange (0–20 s) between human skin and textile surfaces determines initial warm–cool sensations, which influences comfort perception. Classical Fourier models predicting a √t cannot fully describe this early transient phase, particularly for porous or heterogeneous materials such as fabrics. This study investigates the early and short-time temperature response of a fingertip to contact with eight woven and knitted fabrics of different compositions, densities, thermal resistances, and thicknesses, measured under controlled laboratory conditions using a fine-gauge thermocouple at the skin–fabric interface. Experimental temperature–time data, when converted to the Laplace domain, exhibited slopes corresponding to time-domain exponents of t^⅙, t^¼, and occasionally t^⅒, all lower than the classical diffusion exponent of ½.The dual-phase lag (DPL) model was applied to interpret these deviations through two lag times—τq (heat flux) and τT (temperature gradient)—and their ratio Z = τT/τq, which controls the slope of the Laplace-domain response. DPL curves reproduced the observed exponents without additional empirical parameters. The results show that short-time heat transfer depends strongly on textile structure: higher thickness leads to slower transient responses (“warmer” feel), whereas denser fabrics promote faster equilibration (“cooler” feel). This dual-phase interpretation bridges physical heat transfer with tactile thermal perception, providing a predictive framework for the design of textiles with thermal properties.

George T. Fortune, Merlin A. Etzold, Julien R. Landel et al.

Dye attenuation, or photometric imaging, is an optical technique commonly used in fluid dynamics to measure tracer concentration fields and fluid thicknesses under the assumption that the motion of the dye is representative of the fluid motion and that its presence does not affect the behaviour of the system. However, in some systems, particularly living biological systems or those with strong chemical interactions and reactions, the addition of dye may non-trivially influence the system and may not follow the fluid containing it. To overcome this, we demonstrate how short-wave infrared imaging can be used to measure concentration and height profiles of water and other liquids without the introduction of dye for heights down to 0.2mm with spatial and temporal resolutions of the order of 50 microns per pixel and 120 fps respectively. We showcase the utility of this technique by demonstrating its ability to accurately track the temporal evolution of the total water content of two model systems, namely a water drop spreading on a glass slide and spreading within a hydrogel sheet, validating both against an analytical mass balance. Finally, we discuss how the spectral resolution of the present setup could be increased to the point that concentrations within a multi-component system containing more than one type of liquid could be quantified.

Yueping Wang, Jongwon An, Hongseok Kim et al.

Liquid crystal elastomer (LCE) has been intensively utilized in 4D printing techniques to fabricate smart structures with reversible actuation on the basis of appropriate alignment of liquid crystal (LC) molecules. As a non-contact alignment strategy with a controllability of orientation, magnetic-field alignment has been rarely adapted in 4D printing of LCE because of its poor printing efficiency and demand on large field strength. Here, we report a digital light projection (DLP) system integrated with reorientable magnetic field to facilely print smart LCE structures. We propose a new LCE precursor solution that maintains a liquid crystalline nematic phase and an adequate flowability at room temperature. The resin prior to photopolymerization can be sufficiently aligned by a magnetic field with a strength of 500 mT in seconds without temperature elevating or cycling. Consequential printed structures are capable of presenting an impressive reversible thermal actuation of more than 30 %. The local and arbitrary magnetic-field alignment in layers during DLP printing is characterized, which renders us the ability to construct smart structures with more delicate LC alignments. Furthermore, we introduce the selective deformation of LCE structures with programmed molecular orientation using the photo-thermal effect. Our reported approach reveals the significant potential for fabricating morphing structures in various fields, including soft robotics, biomedical structures, and microelectronics. (†These authors contributed equally.)

Juan E. Tapia, Maximilian Russo, Christoph Busch

Morphing Attack Detection (MAD) is a relevant topic that aims to detect attempts by unauthorised individuals to access a "valid" identity. One of the main scenarios is printing morphed images and submitting the respective print in a passport application process. Today, small datasets are available to train the MAD algorithm because of privacy concerns and the limitations resulting from the effort associated with the printing and scanning of images at large numbers. In order to improve the detection capabilities and spot such morphing attacks, it will be necessary to have a larger and more realistic dataset representing the passport application scenario with the diversity of devices and the resulting printed scanned or compressed images. Creating training data representing the diversity of attacks is a very demanding task because the training material is developed manually. This paper proposes two different methods based on transfer-transfer for automatically creating digital print/scan face images and using such images in the training of a Morphing Attack Detection algorithm. Our proposed method can reach an Equal Error Rate (EER) of 3.84% and 1.92% on the FRGC/FERET database when including our synthetic and texture-transfer print/scan with 600 dpi to handcrafted images, respectively.

Saker Messaoui, Lassaad Ghali, Noamen Guermazi et al.

This study investigates the enhancement of compatibility between natural reinforcement materials and polymer matrices, with a focus on Alfa fibers polypropylene (PP) composites. Composites Alfa fibers/PP are prepared using untreated and treated alfa fibers and with or without the addition of a MAPP compatibilizing agent. Firstly, Alfa fibers extracted from the plant are categorized into two groups: untreated and treated with a 3% (wt/v) alkaline solution followed by bleaching. This chemical treatment significantly increases the cellulose content and crystallinity index of the fibers, with improvements of 39.7% and 13.6%, respectively. Secondly, the study incorporates 5 wt% MAPP in the PP matrix as a compatibilizer. The composites produced with 30 wt% of alfa fibers are processed using a single screw extruder, followed by injection molding. Composites samples obtained are characterized using various methods. Thermal analysis reveals that the incorporation of chemically treated alfa fibers along with MAPP significantly accelerates the crystallization rate of the PP matrix, indicating the fibers’ role as effective nucleating agents. Mechanical testing shows marked improvements in the Young’s modulus and tensile strength of the composites obtained with treated alfa fibers reinforcing the MAPP-PP matrix, with increases of 1.67% and 4.61% over their untreated counterparts, respectively.

Pinkos Justyna, Stempien Zbigniew, Grzegorska Karolina et al.

This article presents a comprehensive numerical and experimental analysis of the ballistic performance of soft bulletproof vests designed for women. The study involved a woman aged between 24 and 28 with a breast size of 85C. Two ballistic packages made from Twaron® CT 709 fabric were designed and constructed for her, featuring cut-and-sew formed breast cups and differing significantly in the number of layers (16 and 30 layers). The impact of the number of layers on breast deformation during the shooting was analyzed using numerical modeling and experiments, which included a Parabellum 9 mm × 19 mm FMJ® bullet and a Roma No. 1 plasticine substrate formed based on a plaster cast representing a woman’s figure. The research found that even significantly increasing the number of layers in the ballistic package did not lead to a substantial reduction in breast deformation during shooting. The likely reason for this is the cut-and-sew formed breast cups in the ballistic package, which easily undergo transverse deformation upon bullet impact. This suggests a need for further research to optimize the design of protective cups, which are crucial for proper force distribution and minimizing injuries during bullet impact. The conclusions drawn from this study could contribute to the development of more advanced and effective soft ballistic protection solutions for women.

Aijaz Ahmed Babar, Pardeep Kumar Gianchandani, Abdul Khalique Jhatial

Maxence Menétrey, Lukáš Zezulka, Pascal Fandré et al.

Electrohydrodynamic 3D printing is an additive manufacturing technique with enormous potential in plasmonics, microelectronics, and sensing applications, thanks to its broad materials palette, high voxel deposition rate, and compatibility with various substrates. However, the electric field used to deposit material is concentrated at the depositing structure resulting in the focusing of the charged droplets and geometry-dependent landing positions, which complicates the fabrication of complex 3D shapes. The low level of concordance between design and printout seriously impedes the development of electrohydrodynamic 3D printing and rationalizes the simplicity of the designs reported so far. In this work, we break the electric field centrosymmetry to study the resulting deviation in the flight trajectory of the droplets. Comparison of experimental outcomes with predictions of an FEM model provides new insights into the droplet characteristics and unveils how the product of droplet size and charge uniquely governs its kinematics. From these insights, we develop reliable predictions of the jet trajectory and allow the computation of optimized printing paths counterbalancing the electric field distortion, thereby enabling the fabrication of geometries with unprecedented complexity.

Hong Tang, Yingjie Zhang, Bowen Zheng et al.

Flexible hybrid electronics (FHE) is an emerging technology enabled through the integration of advanced semiconductor devices and 3D printing technology. It unlocks tremendous market potential by realizing low-cost flexible circuits and systems that can be conformally integrated into various applications. However, the operating frequencies of most reported FHE systems are relatively low. It is also worth to note that reported FHE systems have been limited to relatively simple design concept (since complex systems will impose challenges in aspects such as multilayer interconnections, printing materials, and bonding layers). Here, we report a fully 3D-printed flexible four-layer millimeter-wave Doppler radar (i.e., a millimeter-wave FHE system). The sensing performance and flexibility of the 3D-printed radar are characterized and validated by general field tests and bending tests, respectively. Our results demonstrate the feasibility of developing fully 3D-printed high-frequency multilayer FHE, which can be conformally integrated into irregular surfaces (e.g., vehicle bumpers) for applications such as vehicle radars and wearable electronics.

Eleonora Bianca, Francesca Dotti, Ada Ferri

This study investigates the thermal insulation and moisture management of three types of mountaneering boots and simulated hiking activities under controlled environmental conditions with two elite athletes. Temperature and humidity were determined with six wireless probes placed on the most exposed parts of the foot (hallux, middle toe, little toe, dorsum, ankle and sole). Thermal images were taken to record the thermal insulation of each sample. Methodologically, the study aims to simulate every movement and activity of alpinism in order to realistically evaluate the conditions of use of this kind of footwear (also taking into account the lacing pressure exerted on the foot). Based on the results obtained, in a further step it will be possible to define the best solution in terms of combination of materials by creating a comfort scale for hiking boots.

Shiwei Li, Luyan Yu, Jianhua Xiong et al.

The hydrophilicity and inherent flammability of cotton textiles severely limit their usage. To solve these drawbacks, a superhydrophobic and flame-retardant (SFR) coating made of chitosan (CH), ammonium polyphosphate (APP), and TiO2-SiO2-HMDS composite was applied to cotton fabric using simple layer-by-layer assembly and dip-coating procedures. First, the fabric was alternately immersed in CH and APP water dispersions, and then immersed in TiO2-SiO2-HMDS composite to form a CH/APP@TiO2-SiO2-HMDS coating on the cotton fabric surface. SEM, EDS, and FTIR were used to analyze the surface morphology, element composition, and functional groups of the cotton fabric, respectively. Vertical burning tests, microscale combustion calorimeter tests, and thermogravimetric analyses were used to evaluate the flammability, combustion behavior, thermal degradation characteristics, and flame-retardant mechanism of this system. When compared to the pristine cotton sample, the deposition of CH and APP enhanced the flame retardancy, residual char, heat release rate, and total heat release of the cotton textiles. The superhydrophobic test results showed that the maximal contact angle of SFR cotton fabric was 153.7°, and possessed excellent superhydrophobicity. Meanwhile, the superhydrophobicity is not lost after 10 laundering cycles or 50 friction cycles. In addition, the UPF value of CH/APP@TiO2-SiO2-HMDS cotton was 825.81, demonstrating excellent UV-shielding properties. Such a durable SFR fabric with a facile fabrication process exhibits potential applications for both oil/water separation and flame retardancy.

P. Senthilkumar, A. Murugesan

Daniel M. Anderson, Brandon G. Barreto-Rosa, Joshua D. Calvano et al.

We explore the stability of floating objects through mathematical modeling and experimentation. Our models are based on standard ideas of center of gravity, center of buoyancy, and Archimedes' Principle. We investigate a variety of floating shapes with two-dimensional cross sections and identify analytically and/or computationally a potential energy landscape that helps identify stable and unstable floating orientations. We compare our analyses and computations to experiments on floating objects designed and created through 3D printing. In addition to our results, we provide code for testing the floating configurations for new shapes, as well as giving details of the methods for 3D printing the objects. The paper includes conjectures and open problems for further study.