Applied Composite Materials最新文献

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An Analytical Model for Ballistic Performance of Fiber-Reinforced Plastic Laminates 纤维增强塑料层合板的弹道性能分析模型
IF 2.9 4区 材料科学
Applied Composite Materials Pub Date : 2025-05-23 DOI: 10.1007/s10443-025-10344-2
Bui Thanh Phan, Roman Vítek, Jindřich Viliš, Vladimír Horák
{"title":"An Analytical Model for Ballistic Performance of Fiber-Reinforced Plastic Laminates","authors":"Bui Thanh Phan,&nbsp;Roman Vítek,&nbsp;Jindřich Viliš,&nbsp;Vladimír Horák","doi":"10.1007/s10443-025-10344-2","DOIUrl":"10.1007/s10443-025-10344-2","url":null,"abstract":"<div><p>An analytical model is developed to predict the ballistic performance of fiber-reinforced plastic (FRP) laminates under normal impact of rigid penetrators with various nose shapes. The model formulation is based on the localized interaction model incorporated with the spherical cavity-expansion model. Experimental validation of the analytical model is performed on experimental data obtained by own ballistic tests on Twaron/epoxy laminates and previous studies on ballistic performance of other FRP laminates. The model predictions for the ballistic limits and residual velocities are in good agreement with the experimental data, with discrepancies remaining within 10%, demonstrating the robustness and reliability of the present model.</p></div>","PeriodicalId":468,"journal":{"name":"Applied Composite Materials","volume":"32 4","pages":"1639 - 1657"},"PeriodicalIF":2.9,"publicationDate":"2025-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10443-025-10344-2.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145167671","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Through-the-Thickness Z-pinning Reinforcements to Improve Energy Absorption Capabilities of CFRP Crash Structures: Numerical Development 提高CFRP碰撞结构吸能能力的贯穿厚度z型钉钉增强:数值发展
IF 2.9 4区 材料科学
Applied Composite Materials Pub Date : 2025-05-21 DOI: 10.1007/s10443-025-10348-y
A. De Biasio, H. Ghasemnejad
{"title":"Through-the-Thickness Z-pinning Reinforcements to Improve Energy Absorption Capabilities of CFRP Crash Structures: Numerical Development","authors":"A. De Biasio,&nbsp;H. Ghasemnejad","doi":"10.1007/s10443-025-10348-y","DOIUrl":"10.1007/s10443-025-10348-y","url":null,"abstract":"<div><p>This study employs numerical methods to model through-the-thickness reinforcements in CFRP tubular structures under axial impact, investigating the influence of reinforcement configurations on crashworthiness performance. Experimental validation involves testing unpinned tubular structures to establish a baseline model. LS-DYNA finite element models simulate low-velocity axial impacts, incorporating energy-based tiebreak contacts or solid cohesive elements to describe interlaminar bridging. Through-the-thickness are introduced through a homogenous mesh system or locally refined mesh at pin locations. Various reinforced tube designs with different pin diameters and areal densities are examined to identify the optimal pinned design for crashworthiness. The research demonstrates numerically that pinning enhances crashworthiness performances in axial crushing of composite tubes.</p></div>","PeriodicalId":468,"journal":{"name":"Applied Composite Materials","volume":"32 4","pages":"1521 - 1557"},"PeriodicalIF":2.9,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10443-025-10348-y.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145168015","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Comprehensive Review on the Use of Machine Learning Techniques Applied to the Ultrasound Data for the Characterisation of Porosity across Carbon Fibre Reinforced Polymer Layers 机器学习技术应用于超声数据表征碳纤维增强聚合物层孔隙度的综合综述
IF 2.9 4区 材料科学
Applied Composite Materials Pub Date : 2025-05-21 DOI: 10.1007/s10443-025-10342-4
Mihai M. Vasilache, Rostand B. Tayong, Vladan Velisavljevic
{"title":"Comprehensive Review on the Use of Machine Learning Techniques Applied to the Ultrasound Data for the Characterisation of Porosity across Carbon Fibre Reinforced Polymer Layers","authors":"Mihai M. Vasilache,&nbsp;Rostand B. Tayong,&nbsp;Vladan Velisavljevic","doi":"10.1007/s10443-025-10342-4","DOIUrl":"10.1007/s10443-025-10342-4","url":null,"abstract":"<div><p>Carbon fibre reinforced polymers (CFRP) are increasingly being used in different industries, including the automotive and aerospace sectors. One important reason for this is because they have interesting structural and mechanical properties compared to metallic materials. Their high strength-to-weight ratio makes them a preferred choice for high-stress applications. However, CFRPs are often subjected to various defects during their manufacturing that can significantly alter their structural integrity and durability. Amongst these defects, the occurrence of void formation (known as porosity) is the most common. Many methods have been developed for the characterisation of porosity including the ones based on the use of ultrasound data. The present work aims at providing a comprehensive review of the application of machine learning (ML) techniques to the mapping and characterisation of porosity across CFRP composites. The types of ML used, and their potentials for improving the accuracy of porosity detection are presented and discussed. It is particularly noted that ML techniques can extract unique features from CFRP complex ultrasound data with a relatively good level of accuracy. This result suggests that these techniques, particularly the convolutional neural network (CNN), would overcome the limitations of traditional signal processing techniques.</p></div>","PeriodicalId":468,"journal":{"name":"Applied Composite Materials","volume":"32 4","pages":"1315 - 1339"},"PeriodicalIF":2.9,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10443-025-10342-4.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145168016","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Damage Assessment of Polyamide-Based Woven Composites Using Multi-Directional Lamb Waves After Fatigue or Impact Loading 基于多向Lamb波的聚酰胺基机织复合材料疲劳或冲击载荷损伤评估
IF 2.9 4区 材料科学
Applied Composite Materials Pub Date : 2025-05-20 DOI: 10.1007/s10443-025-10343-3
Nada Miqoi, Pascal Pomarède, Fodil Meraghni, Nico Félicien Declercq, Stéphane Delalande
{"title":"Damage Assessment of Polyamide-Based Woven Composites Using Multi-Directional Lamb Waves After Fatigue or Impact Loading","authors":"Nada Miqoi,&nbsp;Pascal Pomarède,&nbsp;Fodil Meraghni,&nbsp;Nico Félicien Declercq,&nbsp;Stéphane Delalande","doi":"10.1007/s10443-025-10343-3","DOIUrl":"10.1007/s10443-025-10343-3","url":null,"abstract":"<div><p>This study presents a novel experimental methodology designed to assess damage in woven glass fibers reinforced polyamide 6,6/6 composites, specifically subjected to low-velocity impact and cyclic tensile loading. Conventional ultrasonic testing techniques often fail to detect subtle material degradation, particularly when dealing with barely visible impact damage (BVID), which can go unnoticed but still significantly compromise structural integrity. In contrast, the proposed approach utilizes multi-directional ultrasonic Lamb wave analysis, a more advanced technique that offers greater sensitivity and precision in identifying damage at various stages of the composite’s lifespan. In this work, a damage indicator is defined based on the velocity profile of Lamb waves, which are sensitive to changes in material properties such as stiffness degradation. The Lamb wave-based methodology is rigorously validated through detailed comparisons with X-ray tomography. These comparisons reveal strong correlations between the two techniques, highlighting the effectiveness of the proposed ultrasonic approach in detecting BVID. Moreover, the study demonstrates that this methodology is not only highly sensitive but also scalable, making it suitable for industrial applications where automated inspection of composite components is essential. The proposed method offers a significant advancement in non-destructive testing (NDT) techniques based on Lamb wave diagnostic tools in composite material testing.</p></div>","PeriodicalId":468,"journal":{"name":"Applied Composite Materials","volume":"32 4","pages":"1559 - 1577"},"PeriodicalIF":2.9,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10443-025-10343-3.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145166935","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Liquid Metal Containing Fiber-Reinforced Composites for Thermal Conductivity Enhancement 液态金属含纤维增强复合材料的导热性增强
IF 2.9 4区 材料科学
Applied Composite Materials Pub Date : 2025-05-16 DOI: 10.1007/s10443-025-10339-z
Angie D. Rojas Cardenas, Amy M. Marconnet, Chelsea S. Davis
{"title":"Liquid Metal Containing Fiber-Reinforced Composites for Thermal Conductivity Enhancement","authors":"Angie D. Rojas Cardenas,&nbsp;Amy M. Marconnet,&nbsp;Chelsea S. Davis","doi":"10.1007/s10443-025-10339-z","DOIUrl":"10.1007/s10443-025-10339-z","url":null,"abstract":"<div><p>Increasing power density and power consumption in electronic devices necessitate heat-dissipating components with high in-plane and cross-plane thermal conductivity to prevent overheating and enhance performance and reliability. Traditionally, polymer composites are made by incorporating rigid, high thermally conductive fillers within the polymer matrix. However, the filler loadings required to achieve significant thermal conductivity enhancement can impact the mechanical properties of the material system, often making them significantly more rigid or brittle than the base polymer. In this study, we developed a method to incorporate an ultra-high molecular weight polyethylene (UHMWPE) three-dimensional fiber mat and eutectic gallium indium alloy (EGaIn) liquid metal into an epoxy matrix. We integrated in-plane and cross-plane thermal conductivity measurements with flexural modulus assessments to understand the impact of the high thermal conductivity fillers on the thermal and mechanical response of the material. This approach enhances both the in-plane and cross-plane thermal conductivity of the composite, achieving thermal conductivities three times higher in the cross-plane direction and six times higher in the in-plane direction compared to the base polymer. Moreover, mechanical characterization reveals that the mechanical performance of the composite is comparable to that of a fiber-reinforced polymer composite, and the incorporation of liquid metal does not significantly impact stiffness, even at high filler loadings. This work demonstrates the potential of strategic composite design to achieve polymeric materials with optimized thermal-mechanical coupling. These new materials offer a solution to the challenges posed by higher power consumption in electronics, providing improved heat dissipation capabilities for more reliable devices.</p></div>","PeriodicalId":468,"journal":{"name":"Applied Composite Materials","volume":"32 4","pages":"1399 - 1409"},"PeriodicalIF":2.9,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10443-025-10339-z.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145166172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Influence of Introduction and Distribution of Bonding Surfaces on Impact Resistance of Carbon Fiber Composite Laminates 粘结面引入及分布对碳纤维复合材料层合板抗冲击性能的影响
IF 2.9 4区 材料科学
Applied Composite Materials Pub Date : 2025-05-15 DOI: 10.1007/s10443-025-10341-5
Caixia Jia, Quanyong Tian, Qian Wang, Luzhong Liang, Biao Liu, Zhen Guan
{"title":"Influence of Introduction and Distribution of Bonding Surfaces on Impact Resistance of Carbon Fiber Composite Laminates","authors":"Caixia Jia,&nbsp;Quanyong Tian,&nbsp;Qian Wang,&nbsp;Luzhong Liang,&nbsp;Biao Liu,&nbsp;Zhen Guan","doi":"10.1007/s10443-025-10341-5","DOIUrl":"10.1007/s10443-025-10341-5","url":null,"abstract":"<div><p>Aiming to improve the impact resistance of structures, a technique to prepare carbon fiber composite laminates based on bonding methods was proposed. CFRP laminates with different numbers of bonding surfaces were fabricated, and then the impact toughness and impact bearing capacity of the laminates were evaluated based on pendulum and drop hammer impact tests, respectively. Results showed that the introduction of bonding surfaces noticeably reduced the generation of manufacturing defects within CFRP. Moreover, the bonding surface at 1/2 thickness as a neutral layer was conducive to the energy absorption of composite layers and the bonding surfaces at 1/4 and 3/4 thickness prevented the extension of shear cracks. As a result, compared to the specimen B0 without bonding surface internally, the specimen B1 with only one bonding surface at 1/2 thickness showed the best impact resistance in the drop hammer impact test. The peak force increased by 8.6% and the energy absorption before failure was increased by 30.6%. When three bonding surfaces were introduced and distributed at 1/4, 1/2 and 3/4 thickness, the best impact toughness was obtained in the pendulum impact test. The impact absorption work and impact toughness of the specimen B3 increased by 19.61% and 17.02%, respectively. However, the specimen B2 with two bonding surfaces distributed at 1/4 and 3/4 thickness showed poor impact bearing capacity. In conclusion, both B1 and B3 showed advantages in terms of impact resistance, proving the beneficial effects of the introduction of bonding surfaces with a reasonable distribution on CFRP.</p></div>","PeriodicalId":468,"journal":{"name":"Applied Composite Materials","volume":"32 4","pages":"1459 - 1479"},"PeriodicalIF":2.9,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145165275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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
Residual Strength Prediction of Composite Laminates Subjected to Compression After Impact (CAI) Using Intelligent Reconstruction of Impact-Induced Damage 基于冲击损伤智能重建的复合材料层合板冲击后压缩残余强度预测
IF 2.9 4区 材料科学
Applied Composite Materials Pub Date : 2025-05-10 DOI: 10.1007/s10443-025-10337-1
Wentao Yin, Nian Li, Luyao Wang, Yangyan Zheng
{"title":"Residual Strength Prediction of Composite Laminates Subjected to Compression After Impact (CAI) Using Intelligent Reconstruction of Impact-Induced Damage","authors":"Wentao Yin,&nbsp;Nian Li,&nbsp;Luyao Wang,&nbsp;Yangyan Zheng","doi":"10.1007/s10443-025-10337-1","DOIUrl":"10.1007/s10443-025-10337-1","url":null,"abstract":"<div><p>This paper presents an equivalent damage model for efficiently predicting compression-after-impact (CAI) behaviors of laminated composites, based on the intelligent numerical reconstruction of impact-induced damage. Using the k-means +  + clustering algorithm, the 3D spatial distribution of delamination is quantitatively identified from C-scanning time-of-flight (TOF) images and then discretized into a numerical mesh along with the soft inclusion. With the incorporation of interlaminar and intralaminar damage models, the CAI residual strength, failure modes, and damage scenarios of the composite laminate after low-velocity impact are predicted, showing good agreement with the experimental results at various impact energies. The proposed model enables fast evaluation of CAI strength within 1.5 h, without requiring impact energy information and maintaining accuracy, which is beneficial for application in damage tolerance design and optimization of engineering laminated structures. </p></div>","PeriodicalId":468,"journal":{"name":"Applied Composite Materials","volume":"32 4","pages":"1433 - 1458"},"PeriodicalIF":2.9,"publicationDate":"2025-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145164825","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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
Evaluating AI Algorithms for Identifying Anomalies in Composite Additive Manufacturing 评估人工智能算法在复合材料增材制造中的异常识别
IF 2.9 4区 材料科学
Applied Composite Materials Pub Date : 2025-05-08 DOI: 10.1007/s10443-025-10340-6
Deepak Kumar, Yongxin Liu, Sirish Namilae
{"title":"Evaluating AI Algorithms for Identifying Anomalies in Composite Additive Manufacturing","authors":"Deepak Kumar,&nbsp;Yongxin Liu,&nbsp;Sirish Namilae","doi":"10.1007/s10443-025-10340-6","DOIUrl":"10.1007/s10443-025-10340-6","url":null,"abstract":"<div><p>Despite significant progress in additive manufacturing, processing defects remain a persistent challenge. Artificial intelligence (AI) enabled early defect detection and process optimization is promising solution for this problem. In this study, real image data from a composite 3D printing setup was used to evaluate the anomaly detection performance of three models: Autoencoder, Support Vector Machine (SVM), and the Zero Bias Deep Neural Network (DNN). The results demonstrate that the Zero bias model achieved an accuracy of 97.96%, significantly outperforming the Autoencoder (93.38%) and SVM (89.80%). Multiple thresholds in the zero bias model enable explain ability.</p></div>","PeriodicalId":468,"journal":{"name":"Applied Composite Materials","volume":"32 4","pages":"1341 - 1349"},"PeriodicalIF":2.9,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145163380","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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
Experimental Investigation of Static Strength in CFRP and Aluminium Lugs Subjected to Uniaxial Tensile Loading CFRP和铝耳单轴拉伸载荷静强度试验研究
IF 2.9 4区 材料科学
Applied Composite Materials Pub Date : 2025-05-06 DOI: 10.1007/s10443-025-10338-0
Mahdi Damghani, Leon Davies, Dexter Greene, Lawrence Robinson, Joseph Suchecki
{"title":"Experimental Investigation of Static Strength in CFRP and Aluminium Lugs Subjected to Uniaxial Tensile Loading","authors":"Mahdi Damghani,&nbsp;Leon Davies,&nbsp;Dexter Greene,&nbsp;Lawrence Robinson,&nbsp;Joseph Suchecki","doi":"10.1007/s10443-025-10338-0","DOIUrl":"10.1007/s10443-025-10338-0","url":null,"abstract":"<div><p>This study presents a comprehensive experimental investigation into the performance of lug structures made from Carbon Fibre Reinforced Polymers (CFRP) with three distinct lay-up configurations: Hard (L-C-H), Quasi-Isotropic (L-C-QI), and Soft (L-C-S). The behaviour of these CFRP lugs was compared against conventional metallic aluminium lugs (L-Al) to evaluate their load-bearing performance under uniaxial tensile loading. Among the CFRP configurations, the L-C-QI lay-up exhibited the highest load-bearing capacity, even surpassing that of L-Al. In contrast, the L-C-H lay-up demonstrated the lowest strength within the CFRP group. L-C-S exhibited matrix cracking near the bore hole, facilitating stress relief similar to ductile metals. The L-Al lugs underwent significant plastic deformation and ligament necking, leading to 136% higher energy absorption compared to the best-performing CFRP lug (L-C-QI). Additionally, the study found that as the Hooke’s stiffness of the lugs decreases, the angle between the failure surface and the loading direction increases, indicating a transition in failure mode from shear tear-out to net section tension. Significant delamination was observed on the bearing side of the lug bore hole in CFRP lugs, while aluminium lugs exhibited plasticity on the bearing surface and ligament necking. These findings offer insights into the static tensile behaviour and failure mechanisms of composite and metallic lug structures.</p></div>","PeriodicalId":468,"journal":{"name":"Applied Composite Materials","volume":"32 4","pages":"1755 - 1779"},"PeriodicalIF":2.9,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10443-025-10338-0.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145163035","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Experimental Study on the Effects of Thermal Cycling and Moisture Exposure on Mechanical Properties of Alkali Treated Woven Jute Fiber/Epoxy Composites 热循环和湿暴露对碱处理编织黄麻/环氧复合材料力学性能影响的实验研究
IF 2.9 4区 材料科学
Applied Composite Materials Pub Date : 2025-04-30 DOI: 10.1007/s10443-025-10334-4
Safak Yildizhan, Anand Mohanam, Ranjitha Jambulingam, Vishal Gavande, Won-Ki Lee
{"title":"Experimental Study on the Effects of Thermal Cycling and Moisture Exposure on Mechanical Properties of Alkali Treated Woven Jute Fiber/Epoxy Composites","authors":"Safak Yildizhan,&nbsp;Anand Mohanam,&nbsp;Ranjitha Jambulingam,&nbsp;Vishal Gavande,&nbsp;Won-Ki Lee","doi":"10.1007/s10443-025-10334-4","DOIUrl":"10.1007/s10443-025-10334-4","url":null,"abstract":"<div><p>This study investigates the effects of alkali treatment, moisture exposure, and thermal cycling on the mechanical properties of woven jute fiber/epoxy composites. The samples were fabricated with a vacuum-assisted resin infusion technique with untreated and alkali-treated (5% NaOH solution – 4 h) jute fibers. Three levels of thermal cycling profile (-5 ℃ – 65 ℃) as low (50 cycles), medium (250 cycles), and high (500 cycles) were applied to samples that were designated as dry and moisture-exposed (120 h water-soaked samples). Tensile, impact, and hardness tests were conducted to understand the mechanical performance of the samples. Experimental results indicate that alkali treatment improves tensile strength by 17.68%, tensile modulus by 6.01%, and elongation at break by 2.85%, primarily due to enhanced fiber-matrix interaction. Impact strength also increased by 16.54% following alkali treatment. However, exposure to moisture and thermal cycling resulted in significant degradation. Moisture-exposed samples showed reductions of 55.54% in tensile strength, 55.58% in impact strength, and 41.46% in hardness, highlighting the detrimental effects of water absorption. Thermal cycling alone caused tensile strength reductions of 29.50% after 500 cycles due to thermal stresses and micro-crack formation. The results indicate that environmental conditions must be considered for jute/epoxy composites, particularly in humid and temperature-variant mediums. In long-term use, the products may be exposed to more severe conditions and thus the design assumptions could mismatch the practical occurrences.</p></div>","PeriodicalId":468,"journal":{"name":"Applied Composite Materials","volume":"32 5","pages":"1997 - 2011"},"PeriodicalIF":2.9,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145184068","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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
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