China Textile Academy

To produce bio‐based carbon fibers (CFs), evolution of structure is studied for lyocell fiber (LF), which is a cellulose fiber prepared by dry‐jet wet spinning, subjected to thermal stabilization and carbonization. The effect of stabilization temperature and time on composition, structure, and thermal stability of LF is investigated using elemental analysis, Thermogravimetry (TG) and X‐ray diffraction. The content of C in the stabilized LF increases with increasing stabilization temperature and time. The original cellulose II crystal in LF collapses when the carbon content reaches 53.6% during stabilization. At 240°C for 30 min, the carbon yield at 700°C rises due to the thermal stabilization of LF, reaching a maximum value of 53.17%. LF‐based CF, with a tensile strength of 546 MPa and a tensile modulus of 56.8 GPa, is continuously prepared by carbonizing the stabilized LF at 1350°C.

ABSTRACT Currently, strength prediction based on damage pattern recognition of fibre-reinforced composite materials mainly relies on unsupervised clustering methods, which suffer from relatively limited evaluation metrics for clustering outcomes. This study proposes a strength prediction approach for fibre-reinforced composites based on acoustic emission and supervised damage pattern recognition. Firstly, three types of acoustic emission tests were designed to capture the characteristic acoustic emission signals of pure damage modes (fibre fracture, matrix cracking, interface debonding). These signal features were utilised to construct corresponding damage pattern datasets and train a supervised model, achieving a cross-validation accuracy of 92.94%. Subsequently, based on the trained model, the acoustic emission events collected during the tensile failure process of fibre-reinforced composite were distinguished, and the residual strength was predicted using a time series prediction model, yielding performance of MAE = 0.97, RMSE = 1.59, and R 2 = 97.58%. Finally, the prediction results were compared with those derived from unsupervised clustering. The findings demonstrate that the supervised recognition-based approach delivers superior predictive outcomes. This indicates that the supervised identification method offers greater advantages in damage pattern recognition for fibre-reinforced composites. Consequently, this provides a novel approach for structural health monitoring of composite materials.

Abstract This study developed a flexible pulping process as an alternative to conventional pre-hydrolysis for producing dissolving pulp. By implementing an optimized cooking profile, effective hemicellulose removal was achieved while maintaining a high pulp yield. Building on this optimized cooking, an integrated control strategy was established across the entire process chain – cooking, bleaching, and post-treatment – enabling precise regulation of pulp properties. The resulting pulp exhibited performance comparable to international benchmark products, with an overall enhanced process yield. The product demonstrated superior purity (higher R 10 and R 18 ), alongside a marginally lower whiteness and acceptably elevated metal ion content compared to an international benchmark sample. Furthermore, this pulp was successfully spun into cellulose fibers that meet the premium-grade standards for Lyocell, thereby validating the feasibility of the proposed pre-hydrolysis-free route for manufacturing Lyocell-grade pulp.

ABSTRACT Cesium tungsten bronze (Cs x WO 3 ), renowned for its high visible‐light transmittance and strong near‐infrared absorption, can be integrated with fibers to produce high‐performance photothermal materials. In this study, Cs x WO 3 was blended with polyamide 6/66 (PA6/66), and PA6/66‐Cs x WO 3 fibers were produced via melt spinning. Woven fabrics constructed from these fibers exhibit excellent photothermal properties. Surprisingly, after washing or rubbing has a negligible impact on the Cs x WO 3 content within the woven fabrics. Under 1000 W/m 2 xenon irradiation for 6 min, the maximum woven fabrics temperatures can reach up to 62.8°C, 70.1°C, and 71.1°C for pristine, washed, and rubbed samples, respectively. Notably, near‐infrared absorption and photothermal conversion performance were significantly enhanced after washing and rubbing; this is, the observed temperature increase effect of more than 11% demonstrates that it improves photothermal efficiency after washing and rubbing. Clothing made from PA6/66‐Cs x WO 3 fibers exhibit superior photothermal performance compared with ordinary clothing. These findings highlight the potential of PA6/66‐Cs x WO 3 woven fabric, with their high photothermal conversion efficiency and robust durability, for applications in cold environments, such as winter thermal apparel.

ABSTRACT Organic electronic devices hold great promise in areas such as flexible wearables, bioelectronics, proactive health. However, achieving high‐resolution, large‐area‐compatible, and low‐cost patterning of functional layers remains a critical bottleneck for their practical application. Photocrosslinker‐based direct microlithography (DML) has emerged as a powerful and versatile approach to address this challenge, owing to its simplicity, broad compatibility, and material generality. This review systematically surveys the recent progress in DML‐enabled patterning for organic electronics, framing its development into three stages: structural integrity preservation, intrinsic material performance retention, and multifaceted performance optimization. Representative photocrosslinker systems applied to semiconducting, dielectric, and other functional layers are examined, and the specific requirements for each layer type are identified. Notably, recent research demonstrates that rationally designed photocrosslinkers not only enable high‐resolution patterning but also simultaneously enhance key properties such as electrical conductivity, mechanical stretchability, and stability. These synergistic improvements expand the functional landscape of organic materials and open new avenues for high‐performance, multifunctional organic devices.

Polyamide 66 (PA66), as a widely utilized non-biodegradable plastic, constitutes a significant source of marine pollution. Current chemical recycling approaches often necessitate monomer purification, excessive use of depolymerization agents, and reliance on metal catalysts, leading to complex procedures and high costs. Therefore, directly converting waste polymers into high-value-added products by using them as raw materials holds substantial significance. Here, we successfully transformed end-of-life PA66 into a high-toughness antibacterial material via a one-pot method. End-of-life PA66 was employed as the polymer feedstock, and melt polycondensation was directly conducted using antibacterial monomers and bio-based long-chain dicarboxylic acids, resulting in the successful synthesis of a series of polyamide-based copolymers. The resultant material demonstrates outstanding mechanical performance, achieving a maximum tensile strength of 34.3MPa and an elongation at break of up to 457.3% for a 0.5mm-thick film. Furthermore, antibacterial assays confirmed that the material can exhibit nearly 100% antibacterial activity. Additionally, the material demonstrates excellent spinnability and processability, indicating strong potential for application in fabrics and films. This work proposes a practical strategy for the large-scale upcycling of end-of-life PA66, demonstrating significant potential for application in the polymer industry.