Composites Science and Technology最新文献_第2页

Material response model with artificial neural networks for ablation analysis of lightweight silicone-modified phenolic matrix nanocomposites 基于人工神经网络的材料响应模型用于硅改性酚醛基纳米复合材料烧蚀分析

IF 8.3 1区材料科学

Composites Science and Technology Pub Date : 2025-04-21 DOI: 10.1016/j.compscitech.2025.111201

Jie Xiao, Guodong Fang, Yisheng Zhang, Xiaoqiang Qin, Hongyue Wang, Changqing Hong, Songhe Meng

{"title":"Material response model with artificial neural networks for ablation analysis of lightweight silicone-modified phenolic matrix nanocomposites","authors":"Jie Xiao, Guodong Fang, Yisheng Zhang, Xiaoqiang Qin, Hongyue Wang, Changqing Hong, Songhe Meng","doi":"10.1016/j.compscitech.2025.111201","DOIUrl":"10.1016/j.compscitech.2025.111201","url":null,"abstract":"<div><div>Polymer matrix thermal protection materials are developing towards lightweight, better thermal insulation and oxidation resistance to satisfy the requirements of planetary entry vehicles, which have a strong gas-solid interaction in the aerodynamic heating environment. A material response model with an artificial neural network (ANN) is developed to study the thermochemical responses of the lightweight silicone-modified phenolic matrix nanocomposites. The ANN is designed to determine the real-time dimensionless char blowing rate and wall enthalpy for the material response model. A constant offset of the dimensionless char blowing rate is added to account for the contribution of multiple constituents of the material surface to the ablation wall. The material response model is validated against three plasma heating test cases in terms of surface temperature, in-depth temperature, and recession. A three-step ablation mechanism is revealed through molecular dynamics simulations, comprising thermal decomposition of the polymer, phase separation/rearrangement, and an enhancement in crystallinity. The effect of ambient pressure on the ablation response is further investigated and found that the lower pressures can lead to higher surface material consumption and higher recession rate due to the reduced blowdown flux of pyrolysis gases.</div></div>","PeriodicalId":283,"journal":{"name":"Composites Science and Technology","volume":"267 ","pages":"Article 111201"},"PeriodicalIF":8.3,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143887314","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Reduction of electromagnetic signature by the epoxy-based nanocomposite with ferrite@ferrite nanostructure ferrite@ferrite纳米结构环氧基纳米复合材料的电磁特征还原

IF 8.3 1区材料科学

Composites Science and Technology Pub Date : 2025-04-21 DOI: 10.1016/j.compscitech.2025.111202

Adrian Radoń , Bartosz Kopyciński , Agnieszka Ciuraszkiewicz , Jerzy Kubacki , Mariola Kądziołka-Gaweł , Dariusz Łukowiec , Piotr Gębara , Ewa Langer , Aleksandra Kolano-Burian

{"title":"Reduction of electromagnetic signature by the epoxy-based nanocomposite with ferrite@ferrite nanostructure","authors":"Adrian Radoń , Bartosz Kopyciński , Agnieszka Ciuraszkiewicz , Jerzy Kubacki , Mariola Kądziołka-Gaweł , Dariusz Łukowiec , Piotr Gębara , Ewa Langer , Aleksandra Kolano-Burian","doi":"10.1016/j.compscitech.2025.111202","DOIUrl":"10.1016/j.compscitech.2025.111202","url":null,"abstract":"<div><div>The highly efficient electromagnetic interference (EMI) shielding materials that can be applied for signature reduction are the subject of numerous studies due to their applicability potential in the military and aerospace fields. A novel approach to characterize epoxy-based nanocomposites with complex ferrite nanostructures was used and applied in order to determine the possibility of using an epoxy-based nanocomposite with ferrite@ferrite nanostructure as a signature reduction material. Two nanostructures, i.e. Fe<sub>3</sub>O<sub>4</sub>@CoFe<sub>2</sub>O<sub>4</sub> and Fe<sub>3</sub>O<sub>4</sub>@NiZnFe<sub>2</sub>O<sub>4,</sub> were developed, and their magnetic and dielectric properties were compared with the pure core – Fe<sub>3</sub>O<sub>4</sub>. Analysis of magnetodielectric properties allowed us to choose the bi-magnetic Fe<sub>3</sub>O<sub>4</sub>@CoFe<sub>2</sub>O<sub>4</sub> nanostructure as the most adequate one for preparing the nanocomposite with high EMI shielding performance. An epoxy-based nanocomposite with these nanoparticles and an organic filler (amorphous yellow dextrin and rice starch mixture) was prepared. The shielding efficiency analysis in the transmission and reflection modes confirmed that the composite with 50 wt% of Fe<sub>3</sub>O<sub>4</sub>@CoFe<sub>2</sub>O<sub>4</sub> can enhance the absorption of electromagnetic radiation. A reduction of the reflectivity from 0.97 to 0.45 and the increase in absorptivity from 0.03 to 0.55 at 8 GHz compared to pure polymer matrix backed by a metallic plate, was observed. Also, shielding efficiency related to the reflection of the electromagnetic wave decreased from 14.74 dB to 2.61 dB, confirming a change of the EMI shielding mechanism from reflection (for metallic components) to absorption (for metallic surface covered by a nanocomposite).</div></div>","PeriodicalId":283,"journal":{"name":"Composites Science and Technology","volume":"267 ","pages":"Article 111202"},"PeriodicalIF":8.3,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143877316","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhancement of pre-embedding SiC particle on interfacial strength in ultrasonic welded carbon fiber reinforced thermoplastic composite joints 预埋SiC颗粒对超声焊接碳纤维增强热塑性复合材料接头界面强度的提高

IF 8.3 1区材料科学

Composites Science and Technology Pub Date : 2025-04-20 DOI: 10.1016/j.compscitech.2025.111200

Yu-Yao Ren , Bin Han , Qi-Yuan Yan , Xiao-Di Wang , Qi Zhang

{"title":"Enhancement of pre-embedding SiC particle on interfacial strength in ultrasonic welded carbon fiber reinforced thermoplastic composite joints","authors":"Yu-Yao Ren , Bin Han , Qi-Yuan Yan , Xiao-Di Wang , Qi Zhang","doi":"10.1016/j.compscitech.2025.111200","DOIUrl":"10.1016/j.compscitech.2025.111200","url":null,"abstract":"<div><div>Enhancing the interfacial bonding strength of ultrasonic welded joints in continuous carbon fiber-reinforced thermoplastic composites (CFRTP) is critical for their industrial application. This study introduces a novel reinforcement method by pre-embedding silicon carbide (SiC) particles at the welding interface, which significantly improves the interfacial strength and overall mechanical performance of CFRTP joints. The embedded SiC particles induce a pinning effect that facilitates load transfer among fibers, and suppresses crack propagation, and enhances the joint's lap shear strength. Through comprehensive evaluations, including lap shear tests, morphological analysis of fractures and welding seams, and temperature monitoring at the welding interface, the fracture modes and heat generation mechanisms of SiC particle-reinforced ultrasonic welded CFRTP joints are systematically investigated and clarified. The optimal conditions for reinforcement are identified as 120# SiC particles (with particle size of 120 μm) at a deposition amount of 20 mg, achieving a joint strength of 22.35 MPa at the welding time of 1.0 s, which corresponds to an enhancement of 23.85 % compared to non-reinforced joints. This scalable approach addresses critical demands in aerospace, automotive, and renewable energy sectors through structurally sound, rapid joining of lightweight CFRTP components. In contrast, graphene powder, due to its smaller size, two-dimensional layered structure, and interlayer slippage behavior, fails to enhance the interfacial bonding strength, resulting in shear failure at the interface and reduced mechanical performance. These findings underscore the importance of particle morphology and characteristics in the context of interfacial bonding strength enhancement.</div></div>","PeriodicalId":283,"journal":{"name":"Composites Science and Technology","volume":"267 ","pages":"Article 111200"},"PeriodicalIF":8.3,"publicationDate":"2025-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143860246","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Physical crosslinking optimized high-temperature capacitive energy storage of polyetherimide nanocomposites with ultralow C60 particles 物理交联优化的超低C60聚醚酰亚胺纳米复合材料高温电容储能

IF 8.3 1区材料科学

Composites Science and Technology Pub Date : 2025-04-17 DOI: 10.1016/j.compscitech.2025.111194

Wenjie Huang , Mengyu Xiao , Baoquan Wan , Zhonghua Xiang , Yuchao Li , Yong Chae Jung , Jun-Wei Zha

{"title":"Physical crosslinking optimized high-temperature capacitive energy storage of polyetherimide nanocomposites with ultralow C60 particles","authors":"Wenjie Huang , Mengyu Xiao , Baoquan Wan , Zhonghua Xiang , Yuchao Li , Yong Chae Jung , Jun-Wei Zha","doi":"10.1016/j.compscitech.2025.111194","DOIUrl":"10.1016/j.compscitech.2025.111194","url":null,"abstract":"<div><div>The extreme operating environments of film capacitors have created an urgent need for a new generation of polymer dielectric materials. Polymer-based composites are a more efficient option in terms of outstanding performance and large-scale industrialized production. Herein, C<sub>60</sub> is selected as a functional filler to be combined with commercial polyetherimide (PEI) through electrostatic interactions to construct polymer nanocomposites (C<sub>60</sub>/PEI). Ultralow-filled C<sub>60</sub>/PEI nanocomposites achieve the comprehensive improvement of electrical, thermal and mechanical performance due to the physical cross-linking points acted by C<sub>60</sub> particles. C<sub>60</sub> shows a strong ability to inhibit electron transfer due to the unique zero-dimensional cage structure and high electron affinity, which reduces the conduction loss at high temperatures. Theoretical and experimental results show that the introduction of trace amounts of C<sub>60</sub> particles into PEIs constructs stable carrier traps and significantly improves the high-temperature energy storage characteristics. The dielectric permittivity and breakdown strength are increased from 3.24 to 447 MV/m for PEI to 3.45 and 520 MV/m for the optimal C<sub>60</sub>/PEI nanocomposite at 150 °C, respectively. Consequently, the optimal C<sub>60</sub>/PEI nanocomposite achieves a discharged energy density (<em>U</em><sub>d</sub>) of 3.69 J/cm<sup>3</sup> at 150 °C, which is higher than 2.65 J/cm<sup>3</sup> of PEI. This provides a convenient and effective strategy to synergistically improve the comprehensive performance of polymer nanocomposite films for high-temperature energy storage applications.</div></div>","PeriodicalId":283,"journal":{"name":"Composites Science and Technology","volume":"267 ","pages":"Article 111194"},"PeriodicalIF":8.3,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143852039","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Deep learning approach for predicting multi-component stress fields in fiber-reinforced composites under different load paths 不同载荷路径下纤维增强复合材料多分量应力场预测的深度学习方法

IF 8.3 1区材料科学

Composites Science and Technology Pub Date : 2025-04-17 DOI: 10.1016/j.compscitech.2025.111198

Xiang Peng , Qiuze Yao , Bing Yi , Jun Xie , Jiquan Li , Shaofei Jiang

{"title":"Deep learning approach for predicting multi-component stress fields in fiber-reinforced composites under different load paths","authors":"Xiang Peng , Qiuze Yao , Bing Yi , Jun Xie , Jiquan Li , Shaofei Jiang","doi":"10.1016/j.compscitech.2025.111198","DOIUrl":"10.1016/j.compscitech.2025.111198","url":null,"abstract":"<div><div>Fiber-reinforced composites are widely used in various fields due to their excellent performance, and in-depth analysis of their stress fields is crucial for improving material properties and optimizing mechanical structures. However, the traditional analytical and numerical analysis approaches are still limited by fixed input loading and limited fiber volume fractions. To address this challenge, this paper presents a deep learning (DL) framework that enables rapid and accurate prediction of multi-component stress fields for representative volume element (RVE) geometries of fiber composites, considering various fiber volume fractions and different input load paths. The framework is developed based on the 3D TransU-Net framework, which incorporates transformer layer and effectively captures both local and global features of samples. By utilizing randomly distributed RVE geometrical microstructures, the stress fields at diverse fiber volume fractions can be accurately predicted. To adapt different load paths, transfer learning is integrated to fine-tune the weights of pre-training model. Several performance metrics, including relative error (<em>RE</em>) and coefficient of determination (<span><math><mrow><msup><mi>R</mi><mn>2</mn></msup></mrow></math></span>), are selected to validate the accuracy of stress distribution predictions. Additionally, a series of results demonstrated the superiority of transfer learning using the same training and validation datasets, and further tests confirmed the model's robustness when faced with unseen samples with diverse volume fractions.</div></div>","PeriodicalId":283,"journal":{"name":"Composites Science and Technology","volume":"267 ","pages":"Article 111198"},"PeriodicalIF":8.3,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143855890","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multi-response controllable microstructured superhydrophobic surfaces for full-process dynamic anti-icing and de-icing 用于全过程动态防冰和除冰的多响应可控微结构超疏水表面

IF 8.3 1区材料科学

Composites Science and Technology Pub Date : 2025-04-15 DOI: 10.1016/j.compscitech.2025.111183

Yubo Wang , Yiqing Xue , Yinfeng Wang , Bo Yuan , Yi Zheng , Wenyan Liang , Yongyang Sun , Xin Sui

{"title":"Multi-response controllable microstructured superhydrophobic surfaces for full-process dynamic anti-icing and de-icing","authors":"Yubo Wang , Yiqing Xue , Yinfeng Wang , Bo Yuan , Yi Zheng , Wenyan Liang , Yongyang Sun , Xin Sui","doi":"10.1016/j.compscitech.2025.111183","DOIUrl":"10.1016/j.compscitech.2025.111183","url":null,"abstract":"<div><div>A series of microstructured superhydrophobic surfaces prepared by biomimicry exhibit unique advantages in the field of anti-icing/de-icing. However, the synergistic effect between microstructural morphology modulation and functional composites, as well as the mechanism of influence on anti-icing/de-icing in different low-temperature environments remain to be explored. Here, leveraging the shape memory effect and electrothermal/photothermal response characteristics of composite materials, a synergistic anti-icing/de-icing system integrating passive anti-icing mechanisms with active de-icing strategies has been systematically investigated. The dynamic impact behaviours of droplets at different temperatures and microstructural morphology were investigated. Elucidating the mechanisms of electrothermal/photothermal response and microstructural morphology transformation. Modulation of droplet impact behavior to avoid ice formation, reduction of surface heat transfer efficiency to delay the icing process, and decrease of ice adhesion to achieve removal of surface-coated ice. Combining the electrothermal/photothermal responsiveness of the substrate functional materials and the reversible conversion properties of the surface microstructure, it provides a new idea for the research of full-process, intelligent-response anti-icing/de-icing.</div></div>","PeriodicalId":283,"journal":{"name":"Composites Science and Technology","volume":"267 ","pages":"Article 111183"},"PeriodicalIF":8.3,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143848370","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A unified approach to the effect of in-plane biaxial loading on delamination progression in laminated composite structures 面内双轴载荷对层合复合材料结构分层进程影响的统一研究

IF 8.3 1区材料科学

Composites Science and Technology Pub Date : 2025-04-14 DOI: 10.1016/j.compscitech.2025.111185

S.H. Taghavian, A.R. Ghasemi

{"title":"A unified approach to the effect of in-plane biaxial loading on delamination progression in laminated composite structures","authors":"S.H. Taghavian, A.R. Ghasemi","doi":"10.1016/j.compscitech.2025.111185","DOIUrl":"10.1016/j.compscitech.2025.111185","url":null,"abstract":"<div><div>This study presents a comprehensive numerical and experimental investigation of delamination progression in thin composite laminates subjected to in-plane biaxial tensile loading. Utilizing the full layerwise plate theory and an interface element approach, a dedicated computational framework was developed to simulate the growth behavior of delaminated regions. To experimentally validate the numerical predictions, a custom-designed biaxial loading frame was fabricated, enabling controlled biaxial tensile testing. Load-displacement curves were recorded, and delamination propagation was monitored using thermographic imaging for composite laminates with various stacking sequences. The numerical and experimental results demonstrate a strong dependence of delamination behavior on laminate geometric parameters. The findings highlight that delaminated regions of relatively large dimensions significantly affect the structural integrity of specimens under biaxial tensile loading. Moreover, the study reveals that the sensitivity of composites to delamination under biaxial tensile loading is considerably different from that observed in other loading scenarios, such as buckling.</div></div>","PeriodicalId":283,"journal":{"name":"Composites Science and Technology","volume":"267 ","pages":"Article 111185"},"PeriodicalIF":8.3,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143848457","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A machine learning-based prediction of biaxial failure envelope of a short fiber-reinforced polymer composite 基于机器学习的短纤维增强聚合物复合材料双轴失效包络预测

IF 8.3 1区材料科学

Composites Science and Technology Pub Date : 2025-04-14 DOI: 10.1016/j.compscitech.2025.111176

Subrat Kumar Maharana , Ganesh Soni , Mira Mitra

{"title":"A machine learning-based prediction of biaxial failure envelope of a short fiber-reinforced polymer composite","authors":"Subrat Kumar Maharana , Ganesh Soni , Mira Mitra","doi":"10.1016/j.compscitech.2025.111176","DOIUrl":"10.1016/j.compscitech.2025.111176","url":null,"abstract":"<div><div>Short-fiber reinforced polymer composites (SFRPs) consist of short and discontinuous fibers dispersed in polymer matrices. This study presents the determination of biaxial failure envelope of an SFRP specimen using an artificial neural network (ANN). The failure envelope defines the decision boundary under biaxial loading stress, distinguishing stress states inside as survival and outside as failure. The complex modeling and the high cost associated with the FE-analysis of SFRPs make the determination of the failure envelope computationally expensive. This study uses an ANN as a surrogate model to predict the biaxial failure envelopes of an SFRP specimen. The failure envelopes used for training and testing the ANN model are extracted for the SFRP specimen using a two-step homogenization, employing the first pseudo-grain failure model. The database is supplemented with experimental data from biaxial tests and FE analysis results available in the literature. An elastoplastic polymer matrix dispersed with short elastic fibers is taken for analysis. The strength parameters of the fiber and matrix and the geometrical parameters of the microstructure are varied over a range to develop a dataset for ANN training. The failure envelopes are predicted for two different unseen SFRPs using the ANN model. The ANN predictions are compared with the simulation and experimental results reported in the literature. Additionally, a parametric study is performed to investigate the effect of the key parameters of the SFRP, such as the volume fraction, aspect ratio, and orientation of the fiber.</div></div>","PeriodicalId":283,"journal":{"name":"Composites Science and Technology","volume":"267 ","pages":"Article 111176"},"PeriodicalIF":8.3,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143844246","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Designing Microcapsules/Ti3C2Tx MXene-based composite fabric coatings for human moist-heat monitoring and management 用于人体湿热监测与管理的微胶囊/Ti3C2Tx mxene复合织物涂层设计

IF 8.3 1区材料科学

Composites Science and Technology Pub Date : 2025-04-14 DOI: 10.1016/j.compscitech.2025.111186

Yunyi Guo, Fanrong Sun, Ajiao Zhao, Kunlin Chen

{"title":"Designing Microcapsules/Ti3C2Tx MXene-based composite fabric coatings for human moist-heat monitoring and management","authors":"Yunyi Guo, Fanrong Sun, Ajiao Zhao, Kunlin Chen","doi":"10.1016/j.compscitech.2025.111186","DOIUrl":"10.1016/j.compscitech.2025.111186","url":null,"abstract":"<div><div>Humidity monitoring plays a crucial role in human health monitoring by enabling real-time tracking of human skin's sweating conditions. However, traditional humidity-sensing fabrics are limited in their ability to achieve coordinated regulation and effective management of both humidity and heat in practical applications. In this study, a microcapsule/Ti<sub>3</sub>C<sub>2</sub>T<sub>x</sub>-based composite fabric coating is designed by combining phase-change microcapsules with Ti<sub>3</sub>C<sub>2</sub>T<sub>x</sub> nanosheets through electrostatic attraction, further incorporating hydrophilic polyacrylate. The incorporation of microcapsules effectively enhances the specific surface area and expands the moisture adsorption channels. Within a relative humidity range of 11–97 %, the sensitivity of the coated fabric can reach an impressive 1619 %. Additionally, the coated fabric maintains excellent breathability (>500 mm/s), facilitating sweat evaporation. The integration of phase-change materials further equips the fabric with thermal management capabilities, enabling it to regulate skin temperature by absorbing and releasing heat during sweat evaporation. The practicality of the coated fabric is further assessed using the wet cup method to simulate skin sweating, during which changes in humidity and temperature are recorded throughout the heating and cooling processes. Consequently, the developed coating demonstrates high sensitivity, effective moist-heat management, and comfort, offering innovative ideas and strategies for the design of humidity-monitoring textiles.</div></div>","PeriodicalId":283,"journal":{"name":"Composites Science and Technology","volume":"267 ","pages":"Article 111186"},"PeriodicalIF":8.3,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143834318","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Highly sensitive mechanochromism and high-contrast multicolor switching in epoxy nanocomposites for stress visualization and damage monitoring 用于应力可视化和损伤监测的环氧纳米复合材料的高灵敏度机械变色和高对比度多色开关

IF 8.3 1区材料科学

Composites Science and Technology Pub Date : 2025-04-14 DOI: 10.1016/j.compscitech.2025.111184

Zaiping Zou , Jiajun Li , Yingsheng Lai , Mao Chen , Yinyu Zhang , Yeping Wu , Xiuli Zhao , Zhongtao Chen

{"title":"Highly sensitive mechanochromism and high-contrast multicolor switching in epoxy nanocomposites for stress visualization and damage monitoring","authors":"Zaiping Zou , Jiajun Li , Yingsheng Lai , Mao Chen , Yinyu Zhang , Yeping Wu , Xiuli Zhao , Zhongtao Chen","doi":"10.1016/j.compscitech.2025.111184","DOIUrl":"10.1016/j.compscitech.2025.111184","url":null,"abstract":"<div><div>Epoxy resins are widely used in coatings and composites due to their excellent comprehensive properties, but they also present new challenges in stress sensing and damage detection. Mechanochromism, which implies that a material can change color in response to mechanical stimulation, could be a potential tool to solve this problem. However, researches on mechanochromic polymers have primarily focused on elastomers and gels. For rigid epoxy thermosets, it is still difficult to achieve significant mechanochromism, let alone multicolor changes under different mechanical stimuli. In this study, SiO<sub>2</sub> nanoparticles (NPs) are introduced into a rhodamine (Rh)-modified epoxy system to improve its mechanochromic response. When the nanocomposite is mechanically stimulated, concentrated stress around the heterogeneous interfaces induces massive ring-opening reactions of Rh in these areas, resulting in a vivid red color change. In addition, direct observation of the stress-concentration effect near the rigid particles is realized by using the visualization properties of the Rh moiety, and combined with finite element analysis to elucidate the enhancement mechanism of the mechanochromism. Furthermore, how the NPs affect multicolor mechanochromism of epoxy thermosets is also investigated. Nanocomposites with two different mechanochromophores exhibit stress- and time-dependent five-color variations due to the different activation of the Rh and disulfide moieties, whereas samples without NPs only show a triple-color change with lower contrast. This strategy is suitable for use in practical applications owning to its ability to display the stress intensity and stress history of a material through high-contrast multicolor switching. Several proof-of-concept scenarios are presented.</div></div>","PeriodicalId":283,"journal":{"name":"Composites Science and Technology","volume":"267 ","pages":"Article 111184"},"PeriodicalIF":8.3,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143844844","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0