Composites Part A: Applied Science and Manufacturing最新文献

{"title":"Field-based partition path planning for automated fiber placement on complex surfaces via combinatorial optimization","authors":"Xingya Xiao ,&nbsp;Weiwei Qu ,&nbsp;Di Yang ,&nbsp;Huanyi Hu ,&nbsp;Fengyi Zhang ,&nbsp;Yinglin Ke","doi":"10.1016/j.compositesa.2025.109049","DOIUrl":"10.1016/j.compositesa.2025.109049","url":null,"abstract":"<div><div>Automated fiber placement (AFP) potentiates the efficient fabrication of fiber-reinforced composite. Laying paths in AFP must consider fiber orientation and parallelism to prevent quality loss. It is difficult to satisfy these strict constrains on complex surface by the overall method without partition. And the sector partition method lacks the ability of global analysis, hindering a better partition scheme. This paper develops a field-based partition strategy using combinatorial optimization with differential evolution (DE) for AFP path planning, which aims to minimize partitions while ensuring strict fiber alignment and parallelism of laying paths. The partition path planning process is mapped into a grid model, in which a grid node represents the partial laying paths on the surface meeting the constraints of fiber direction and path parallelism. Combining the nodes, a zigzag path in the grid model corresponds to a partition path planning solution of ply surface. And a DE-based method is proposed to optimize path result with the least partitions. Moreover, the vector field-based path smoothing helps to increase the steering radius of laying paths. Typical cases show that the proposed method outperforms the existing methods.</div></div>","PeriodicalId":282,"journal":{"name":"Composites Part A: Applied Science and Manufacturing","volume":"197 ","pages":"Article 109049"},"PeriodicalIF":8.1,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144115521","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Numerical framework for integrated additive manufacturing-compression molding (AM-CM) of thermoplastic composites","authors":"Abdallah Barakat ,&nbsp;Berin Šeta ,&nbsp;Yalcin Meraki ,&nbsp;Segun Isaac Talabi ,&nbsp;Komal Chawla ,&nbsp;Jon Spangenberg ,&nbsp;Vipin Kumar ,&nbsp;Ahmed Arabi Hassen ,&nbsp;Uday Vaidya","doi":"10.1016/j.compositesa.2025.109048","DOIUrl":"10.1016/j.compositesa.2025.109048","url":null,"abstract":"<div><div>Additive manufacturing-compression molding (AM-CM) has emerged as a transformative technology in advanced composite manufacturing. Additive manufacturing (AM) offers high design flexibility and the ability to produce complex geometries with precisely aligned fibers in the preferred orientation. Compression molding (CM) enhances composite materials by providing excellent dimensional stability, reduced porosity, high production rates, and a smooth surface finish. Despite these advantages, extensive integrated analysis is required to optimize processing conditions for improved fiber orientation distribution (FOD) and porosity control. This study develops a comprehensive numerical model to simulate the AM-CM manufacturing process. The model isolates the effects of both the AM and CM phases while also capturing their integration. Additionally, it accounts for heat transfer, temperature-dependent viscosity, and fiber orientation in the extruded fiber-filled polymer, accurately representing material behavior during processing. This approach enables the analysis of interactions between deposited beads of complex strand shapes and their interface regions after full compression. Moreover, the model predicts key parameters such as polymer flowability, fiber orientation, and temperature evolution in AM-CM parts. By optimizing processing conditions, it facilitates a controlled and predictable microstructure.</div></div>","PeriodicalId":282,"journal":{"name":"Composites Part A: Applied Science and Manufacturing","volume":"197 ","pages":"Article 109048"},"PeriodicalIF":8.1,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144124565","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"On the understanding of GRAM® technology- robotic wet filament winding- for high-performance fibre-reinforced thermoset composites","authors":"Masoud Bodaghi ,&nbsp;Lyazid Bouhala ,&nbsp;Claus G. Bayreuther ,&nbsp;Ahmed El Moumen ,&nbsp;David Macieira ,&nbsp;Martin Kerschbaum","doi":"10.1016/j.compositesa.2025.109028","DOIUrl":"10.1016/j.compositesa.2025.109028","url":null,"abstract":"<div><div>This study examined the effects of nozzle diameter and fibre pre-tension on the impregnation quality and mechanical performance of GRAM robotized wet filament-wound composites. The use of a larger nozzle improved fibre impregnation, reduced void content from 6 % to 2 %, and enhanced composite uniformity. Higher fibre pre-tension (10 N) flattened fibre tows, increasing packing density and resin distribution, which minimized voids and improved mechanical properties. In contrast, lower pre-tension (5 N) resulted in increased voids and weaker composites. Mechanical testing showed that samples produced with higher pre-tension and larger nozzles exhibited more consistent mechanical responses. Although the larger nozzle samples were ∼7 % stronger than those made with a smaller nozzle, the study highlighted the importance of optimizing fibre impregnation &amp; compaction for achieving high-performance filament-wound composites.</div></div>","PeriodicalId":282,"journal":{"name":"Composites Part A: Applied Science and Manufacturing","volume":"197 ","pages":"Article 109028"},"PeriodicalIF":8.1,"publicationDate":"2025-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144115522","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Improving thermal stability and mechanical properties of high temperature carbon fibre phthalonitrile resin composites via Nano-CuO modified matrices","authors":"Feng Xu ,&nbsp;Zhao Sha ,&nbsp;Linguangze Zhuo ,&nbsp;Wenkai Chang ,&nbsp;Baozhong Sun ,&nbsp;Chun H. Wang ,&nbsp;Bohong Gu ,&nbsp;Jin Zhang","doi":"10.1016/j.compositesa.2025.109035","DOIUrl":"10.1016/j.compositesa.2025.109035","url":null,"abstract":"<div><div>High performance phthalonitrile (PN) resins and their carbon fibre reinforced composites have been developed to meet harsh and stringent application scenarios in aerospace, aircraft, naval industries due to the highly crosslinked network, abundant polyaromatic structure and superior thermal stability and mechanical properties of PN resins. In this study, the thermal stability and mechanical properties of carbon fibre-reinforced PN matrix composites were improved by introducing CuO nanoparticles (NPs). These NPs promote the formation of phthalocyanine rings during PN resin curing, significantly improving the curing efficiency, thermal stability, and wettability of the resins, especially when the surfaces of CuO NPs were treated with silane (mCuO NPs). Incorporating CuO NPs into the PN matrix significantly increased both flexural strength and modulus. For the carbon fibre reinforced PN matrix composites, incorporating 10 wt% mCuO NPs, the flexural strength increased 128 % from 188 MPa to 429 MPa, and the flexural strength retention rate enhanced from 41 % to 60 %, compared with the carbon fibre reinforced neat PN resin composites, after thermal exposure at a heat flux density of 90 kW/m² (i.e., coil temperature of 930 °C in the cone calorimeter). The drastically enhanced thermostability and residual mechanical strength in carbon fibre PN resin composites provide high potential opportunities for preparing lightweight thermal protective aerospace and marine structures.</div></div>","PeriodicalId":282,"journal":{"name":"Composites Part A: Applied Science and Manufacturing","volume":"197 ","pages":"Article 109035"},"PeriodicalIF":8.1,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144098513","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Process-performance integrated modeling to virtually optimize parameters for preforming of multi-layer woven fabric composite prepregs","authors":"Jianchao Zou ,&nbsp;Yifeng Xiong ,&nbsp;Wanrui Zhang ,&nbsp;Chongrui Tang ,&nbsp;Rui Li ,&nbsp;Deyong Sun ,&nbsp;Weizhao Zhang","doi":"10.1016/j.compositesa.2025.109032","DOIUrl":"10.1016/j.compositesa.2025.109032","url":null,"abstract":"<div><div>The design of manufacturing parameters is crucial to efficiently produce woven fabric composite parts using automatic manufacturing process. To optimize blank geometry and stacking sequence in prepreg compression molding (PCM) for minimum material waste and maximum final product performance, a virtual design method based on process-performance integrated modeling was developed for woven fabric composite preforming. This design method starts with the preforming modeling realized via a non-orthogonal material model that can continuously trace warp and weft yarn directions. Experimental validation indicates that the prediction error of the preforming modeling for multi-layer woven fabric composites is less than 3 % in profiles of the produced parts and within 4 % in yarn angles. With the preforming modeling, the blank geometry represented by finite element mesh was virtually modified through design iterations, so as to obtain the ideal blank geometry that could yield the smallest amount of material in the binder region to be trimmed. Then, the ideal blank geometry was applied in real preforming, and the results proved that the material waste caused by trimming could be controlled to 9 %∼14 % with this modeling-based design method, much lower than the 30 %∼50 % value in current industrial practice. Afterwards, various stacking sequences were input to the preforming modeling, and the predicted yarn orientations, yarn angles and part geometry from the preforming modeling were mapped to the performance analysis, so as to numerically identify the configuration for highest elastic stiffness of the final part. Experimental validation illustrates that this process-performance integrated modeling can lead to less than 4.15 % prediction error in part stiffness, and it can successfully determine the stacking sequence for highest part performance without the need for real manufacturing and performance experiments.</div></div>","PeriodicalId":282,"journal":{"name":"Composites Part A: Applied Science and Manufacturing","volume":"197 ","pages":"Article 109032"},"PeriodicalIF":8.1,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144124677","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Understanding the enhancement mechanisms of thermal ablation resistance of CNT/epoxy nanocomposites: A molecular dynamics simulation","authors":"Jihun Lee,&nbsp;Gyu Hee Lee,&nbsp;Haolin Wang,&nbsp;Hyunseong Shin","doi":"10.1016/j.compositesa.2025.109034","DOIUrl":"10.1016/j.compositesa.2025.109034","url":null,"abstract":"<div><div>Experimental studies have confirmed that composites reinforced with carbon nanotubes (CNTs) exhibit superior ablation resistance. However, theoretical studies on the microscopic mechanisms responsible for improvement in the ablation resistance of composites are insufficient. These theoretical studies are essential for elucidating the microscopic mechanisms and enabling effective investigations of the ablation resistance enhancement of composites. In this study, molecular dynamics (MD) simulations were performed using a reactive force field (ReaxFF) to evaluate the ablation resistance enhancement of CNT/epoxy nanocomposites. Specifically, the ablation resistance of the nanocomposites was evaluated based on the orientation of the CNT, and the microscopic mechanisms governing the ablation resistance of the CNT/epoxy nanocomposites were investigated. Notably, computational analysis revealed that the relatively dense interphase plays a pivotal role in enhancing the ablation resistance of CNT/epoxy nanocomposites. The microscopic mechanisms investigated in this study are expected to provide valuable insights for improving the ablation resistance of CNT/epoxy nanocomposites.</div></div>","PeriodicalId":282,"journal":{"name":"Composites Part A: Applied Science and Manufacturing","volume":"197 ","pages":"Article 109034"},"PeriodicalIF":8.1,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144105030","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A review of artificial intelligence (AI)-based applications to nanocomposites","authors":"Krishna Prasath Logakannan ,&nbsp;Ibrahim Guven ,&nbsp;Gregory Odegard ,&nbsp;Kan Wang ,&nbsp;Chuck Zhang ,&nbsp;Zhiyong Liang ,&nbsp;Ashley Spear","doi":"10.1016/j.compositesa.2025.109027","DOIUrl":"10.1016/j.compositesa.2025.109027","url":null,"abstract":"<div><div>Recent progress in artificial intelligence (AI) techniques has attracted interest from researchers in various engineering fields, including materials science and engineering. AI has enabled materials researchers to explore vast materials design spaces, which were previously inaccessible due to the inherent limitations of conventional techniques (viz., experiments and physics-based computational models). This is particularly true for the design of nanocomposites because of the many degrees of freedom associated with both material composition and manufacturing parameters. The primary motivation of this review is to report how AI techniques are being used in nanocomposite materials design, with special attention given to the manufacturing and property prediction of nanocomposites using AI techniques.</div></div>","PeriodicalId":282,"journal":{"name":"Composites Part A: Applied Science and Manufacturing","volume":"197 ","pages":"Article 109027"},"PeriodicalIF":8.1,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144131068","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Hybrid effects and failure mechanisms of S-glass/aramid fiber reinforced hybrid composite laminates with wave-transparent","authors":"Xishuang Jing ,&nbsp;Yuhang Ding ,&nbsp;Siyu Chen ,&nbsp;Fubao Xie ,&nbsp;Aohua Zhang ,&nbsp;Chengyang Zhang","doi":"10.1016/j.compositesa.2025.109036","DOIUrl":"10.1016/j.compositesa.2025.109036","url":null,"abstract":"<div><div>Glass fibers, renowned for their high transmissivity, have found widespread application in electromagnetic wave-transparent materials, however, increasingly intricate application scenarios have constrained their further deployment. This study addresses this by developing S-glass/aramid hybrid laminates with tailored symmetric and asymmetric stacking sequences. Asymmetric designs achieve a tensile strength of 501.1 MPa and bending strength of 449.2 MPa, outperforming symmetric counterparts by redistributing stress and suppressing crack propagation. Transmissivity rises to 91.376 %, enhancing radar functionality. These gains, rooted in hybrid effects and interlayer stress modulation, are supported by laminate theory. This work provides a robust framework for designing lightweight, durable radome structures, bridging material innovation with engineering application.</div></div>","PeriodicalId":282,"journal":{"name":"Composites Part A: Applied Science and Manufacturing","volume":"197 ","pages":"Article 109036"},"PeriodicalIF":8.1,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144098514","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Highly flexible and self-healing phase change hydrogel with superior solar-thermal storage and sensitive motion detection for wearable thermal management","authors":"Xiaoyi Li ,&nbsp;Shiyu Wang ,&nbsp;Zongliang Du ,&nbsp;Xu Cheng ,&nbsp;Haibo Wang ,&nbsp;Xiaosheng Du","doi":"10.1016/j.compositesa.2025.109038","DOIUrl":"10.1016/j.compositesa.2025.109038","url":null,"abstract":"<div><div>With the increasing demand for personal thermal management and health monitoring, developing flexible phase change materials (PCMs) with advanced properties is crucial. In this study, a novel flexible phase change hydrogel, P(AM-co-AA)/PDA@Ag/ES (PADE), was designed and fabricated by integrating polyacrylic resin P(AM-co-AA) and polydopamine-coated silver nanoparticles (PDA@Ag NPs) to construct a 3D metal–organic network via dynamic non-covalent bonds as the supporting material, and by empolying eutectic salts (ES), a mixture of Na₂SO₄·10H₂O (25 %) and Na₂HPO₄·12H₂O (75 %), as the solid–liquid PCM. The flexible PADE hydrogels demonstrated high energy storage density (182.3 J/g), robust mechanical properties, and self-adhesive behavior, making it highly suitable for wearable thermal management. The abundant dynamic hydrogen bonds formed between the P(AM-co-AA) matrix and PDA@Ag NPs imparted the PADE hydrogels with rapid self-healing capabilities. Notably, the PADE hydrogels showed excellent strain-sensing performance, characterized by a high gauge factor (GF = 4.36), high sensitivity, and rapid response, enabling precise monitoring of both subtle and intense human movements. Moreover, the incorporation of PDA@Ag NPs endowed the hydrogels with multifunctional properties, including antibacterial activity, electrical conductivity, and efficient photothermal conversion, significantly enhancing their potential for applications in smart wearable devices, flexible electronics, biomedicine, and other technological fields.</div></div>","PeriodicalId":282,"journal":{"name":"Composites Part A: Applied Science and Manufacturing","volume":"197 ","pages":"Article 109038"},"PeriodicalIF":8.1,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144088702","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sizing of discontinuous natural fibers: Effect of sizing approach and sizing concentration on composite properties","authors":"Sanjita Wasti ,&nbsp;Caitlyn Clarkson ,&nbsp;Eric Johnston ,&nbsp;Yunqiao Pu ,&nbsp;Samarthya Bhagia ,&nbsp;Halil Tekinalp ,&nbsp;Soydan Ozcan ,&nbsp;Uday Vaidya","doi":"10.1016/j.compositesa.2025.109029","DOIUrl":"10.1016/j.compositesa.2025.109029","url":null,"abstract":"<div><div>Natural fiber reinforced composites (NFRCs) are gaining attention in automotive applications as an alternative to glass fiber composites due to their lightweight and renewable sourcing. However, the inherent hydrophilicity of natural fibers leads to poor compatibility with hydrophobic polymers which adversely affects the mechanical properties of the composites and can limit their application to non-structural parts. Sizing is a common approach used for synthetic fibers to improve the interface between fiber and matrix. However, there is limited study on the sizing of natural fibers, and hence the focus of this work. In this study, two different approaches to sizing discontinuous coir fibers were investigated, namely; (1) ex-situ sizing and (2) in-situ sizing. A commercial polypropylene (PP) based sizing agent was used and the effects of varying sizing solution concentrations (1.5, 2.5, and 3.5 wt%) on the properties of the composites was studied. Results showed that composites prepared via the in-situ sizing process had better fiber–matrix adhesion and improved tensile properties compared to ex-situ sized composites. On studying the effect of different sizing concentrations on composite properties, we found that the tensile strength of the composites increased (by ∼ 42 %) up to 2.5 wt% sizing concentration (in solution) and then decreased. However, the impact strength decreased significantly on increasing the sizing content beyond 1.5 wt% (by ∼ 40 %). Additionally, the study was further extended to investigate the effect of sizing on different NFRCs (coir, banana, and cottonized hemp fiber) where effectiveness of sizing was found to be influenced by the fiber surface morphology.</div></div>","PeriodicalId":282,"journal":{"name":"Composites Part A: Applied Science and Manufacturing","volume":"197 ","pages":"Article 109029"},"PeriodicalIF":8.1,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144083955","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}