Applied Composite Materials最新文献_第2页

Multiscale Analysis of the Stress and Burst Speed of a Titanium Matrix Composite Ring Considering the Viscoplasticity of the Matrix 考虑基体粘弹性的钛基复合材料环应力和爆破速度多尺度分析

IF 2.3 4区材料科学

Applied Composite Materials Pub Date : 2024-08-14 DOI: 10.1007/s10443-024-10256-7

Hanmin Xiao, Xuming Niu, Zhigang Sun, Yulong Wang, Yingdong Song

{"title":"Multiscale Analysis of the Stress and Burst Speed of a Titanium Matrix Composite Ring Considering the Viscoplasticity of the Matrix","authors":"Hanmin Xiao, Xuming Niu, Zhigang Sun, Yulong Wang, Yingdong Song","doi":"10.1007/s10443-024-10256-7","DOIUrl":"10.1007/s10443-024-10256-7","url":null,"abstract":"<div><p>A multiscale model is developed for stress analysis and burst speed prediction of a titanium matrix composite (TMC) ring. The proposed multiscale model is based on finite-volume directly averaging micromechanics (FVDAM) to connect the TMC ring and the composite microstructure. Moreover, Bodner-Partom’s constitutive model is adopted to characterise the viscoplasticity of the titanium cladding and the matrix. The effects of viscoplasticity on the mechanical behaviour and burst speed of the TMC ring are presented and discussed for the first time via macromechanical and micromechanical analysis. The results suggest that considering the viscoplasticity of the titanium matrix and cladding leads to a decrease in the burst speed of the TMC ring, especially at elevated temperatures such as 315 ℃ and 482 ℃. Burst rupture of the TMC ring also occurs after a certain time in the load-holding stage at these elevated temperatures and a low, constant angular speed, even though no burst rupture is predicted in the loading stage. Hence, the newly defined <i>load-holding burst speed</i>, which is relative to the load-holding time, is predicted at elevated temperatures. The results of the load-holding burst speed provide more comprehensive information on the safety assessment of a TMC ring at elevated temperatures.</p></div>","PeriodicalId":468,"journal":{"name":"Applied Composite Materials","volume":"31 5","pages":"1711 - 1739"},"PeriodicalIF":2.3,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142223572","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

Cure Kinetic Modelling and Experimental Analysis to Predict Temperature Distribution during Microwave Curing of Carbon Fiber Composites 利用固化动力学模型和实验分析预测碳纤维复合材料微波固化过程中的温度分布

IF 2.3 4区材料科学

Applied Composite Materials Pub Date : 2024-08-02 DOI: 10.1007/s10443-024-10257-6

Hussain Badshah, Rajeev Kumar, Parmod Kumar, Sunny Zafar

{"title":"Cure Kinetic Modelling and Experimental Analysis to Predict Temperature Distribution during Microwave Curing of Carbon Fiber Composites","authors":"Hussain Badshah, Rajeev Kumar, Parmod Kumar, Sunny Zafar","doi":"10.1007/s10443-024-10257-6","DOIUrl":"10.1007/s10443-024-10257-6","url":null,"abstract":"<div><p>In this work, a numerical model was developed to investigate the layer wise temperature distribution during microwave curing to manufacture carbon fiber composites using COMSOL Multiphysics<sup>®</sup> software package. A multivariable nonlinear regression analysis was conducted to acquire the cure kinetics parameters based on the heating rate. The resulting model demonstrated temperature and percentage degree of cure prediction accuracy within an error margin of 6% and 0.62%, respectively. In addition, a comparison was made between the contour of temperature distribution across different layers. The correlation with experimental and simulation data revealed that uniform heating occurred at 180 W due to a longer cycle time compared to power levels of 360 W, 540 W, and 720 W, in the presence of a standing wave. Conversely, the model indicated a temperature gradient of approximately 8.7 ℃, 10.2 ℃, 24.6 ℃, and 36.6 ℃ between the first and last layer for power levels of 180 W, 360 W, 540 W, and 720 W, respectively. Utilizing a dwell period of 65 s at a temperature of 100 ℃, the gradient between the first and last layer reduced to approximately 5.21 ℃, 7.97 ℃, 8.91 ℃, and 9.04 ℃ for power levels of 180 W, 360 W, 540 W, and 720 W, respectively, at the end of the curing process. Furthermore, a comparative examination of temperature distribution and degree of cure at 180 W revealed a higher degree of cure in regions where the temperature was elevated due to the standing wave.</p><h3>Graphical Abstract</h3><div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":468,"journal":{"name":"Applied Composite Materials","volume":"31 5","pages":"1741 - 1766"},"PeriodicalIF":2.3,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141887282","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

A Review of Machine Learning for Progressive Damage Modelling of Fiber-Reinforced Composites 纤维增强复合材料渐进损伤建模的机器学习综述

IF 2.3 4区材料科学

Applied Composite Materials Pub Date : 2024-07-27 DOI: 10.1007/s10443-024-10255-8

J. Y. Y. Loh, K. M. Yeoh, K. Raju, V. N. H. Pham, V. B. C. Tan, T. E. Tay

{"title":"A Review of Machine Learning for Progressive Damage Modelling of Fiber-Reinforced Composites","authors":"J. Y. Y. Loh, K. M. Yeoh, K. Raju, V. N. H. Pham, V. B. C. Tan, T. E. Tay","doi":"10.1007/s10443-024-10255-8","DOIUrl":"https://doi.org/10.1007/s10443-024-10255-8","url":null,"abstract":"<p>The accurate prediction of failure of load-bearing fiber-reinforced structures remains a challenge due to the complex interacting failure modes at multiple length scales. In recent years however, there has been considerable progress, in part due to the increasing sophistication of advanced numerical modelling technology and computational power. Advanced discrete crack and cohesive zone models enable interrogation of failure modes and patterns at high resolution but also come with high computational cost, thus limiting their application to coupons or small-sized components. Adaptively combining high-fidelity with lower fidelity techniques such as smeared crack modelling has been shown to reduce computational costs without sacrificing accuracy. On the other hand, machine learning (ML) technology has also seen an increasing contribution towards failure prediction in composites. Leveraging on large sets of experimental and simulation training data, appropriate application of ML techniques could speed up the failure prediction in composites. While ML has seen many uses in composites, its use in progressive damage is still nascent. Existing use of ML for the progressive damage of composites can be classified into three categories: (i) generation of directly verifiable results, (ii) generation of material input parameters for accurate FE simulations and (iii) uncertainty quantification. Current limitations, challenges and further developments related to ML for progressive damage of composites are expounded on in the discussion section.\u0000</p>","PeriodicalId":468,"journal":{"name":"Applied Composite Materials","volume":"42 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141783497","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

Moisture Absorption Characterization and Mechanical Properties of CFRP Under the Combined Effects of Seawater and Continuous Bending Stress 海水和连续弯曲应力共同作用下 CFRP 的吸湿特性和力学性能

IF 2.3 4区材料科学

Applied Composite Materials Pub Date : 2024-07-25 DOI: 10.1007/s10443-024-10254-9

Han Wang, Jinlu Lin, Yalin Yu, Xiaobiao Zuo, Yuchi Liu, Huiming Ding, Haijin Wang, Yunbo Bi

{"title":"Moisture Absorption Characterization and Mechanical Properties of CFRP Under the Combined Effects of Seawater and Continuous Bending Stress","authors":"Han Wang, Jinlu Lin, Yalin Yu, Xiaobiao Zuo, Yuchi Liu, Huiming Ding, Haijin Wang, Yunbo Bi","doi":"10.1007/s10443-024-10254-9","DOIUrl":"https://doi.org/10.1007/s10443-024-10254-9","url":null,"abstract":"<p>Composite structures are susceptible to the combined effect of seawater aging and stress load in the marine environment. This paper investigates the moisture absorption and mechanical properties of CFRP immersed in seawater at 70 °C and subjected to sustained bending. The moisture absorption process of CFRP in a moisture-force coupling environment was characterized, and the effect of moisture-force coupling on the bending and tensile properties of laminates was studied. The results show that the maximum moisture content and diffusion coefficient of the sample decrease with the increase of the sustained bending stress level. It is found that the Fick model can better describe the water diffusion process of thicker samples than the Langmuir model. The bending stress causes the post-curing rate of the sample to slow down, and the duration becomes longer. The tensile strength of the sample at a 10.5% stress level exceeds the initial value of 8.62% after immersion for 2016 h. The sustained bending stress aggravated the degradation of the flexural properties. The sample under 30% bending stress decreased by 18.08% after immersion for 2016 h, while the unstressed sample only decreased by 11.90%. An empirical prediction model based on the Fick model and experimental data is proposed to describe the degradation of bending strength, verified by the existing literature data.</p>","PeriodicalId":468,"journal":{"name":"Applied Composite Materials","volume":"41 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141783459","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

High-Biocontent Polymer Blends and Their Wood Plastic Composites: Blending, Compatibilization, and Their Recyclability 高生物含量聚合物混合物及其木塑复合材料：混合、相容及其可回收性

IF 2.3 4区材料科学

Applied Composite Materials Pub Date : 2024-07-25 DOI: 10.1007/s10443-024-10253-w

Dylan Jubinville, Hyung-Sool Lee, Tizazu Mekonnen

{"title":"High-Biocontent Polymer Blends and Their Wood Plastic Composites: Blending, Compatibilization, and Their Recyclability","authors":"Dylan Jubinville, Hyung-Sool Lee, Tizazu Mekonnen","doi":"10.1007/s10443-024-10253-w","DOIUrl":"10.1007/s10443-024-10253-w","url":null,"abstract":"<div><p>Poly(lactic acid) (PLA) was melt-blended separately with low concentrations of polypropylene (PP) and low-density polyethylene (LDPE) that maintained the total biopolymer content above 89 wt%. Additionally, a multifunctional reactive chain extender was also incorporated to assess the potential compatibility among the constituents. The blends were exposed up to five reprocessing cycles to simulate recycling, with material collection occurring at one and three recycling stages for characterization. Rheology, thermal, and mechanical properties were then evaluated to assess the processing – properties of the resulting materials. In addition, wood flour powder (≤ 250 μm) was compounded into two different system types (PLA: PP and PLA: LDPE) at 30 and 40 wt% to fabricate high-biopolymer content wood-plastic composites (WPCs). The entire composite was then subjected to up to five recycling cycles to elucidate the effects of recycling on different systems. The simulated recycling process induced crosslinking reactions in the case of LDPE, evidenced by an increase in melt viscosity and changes to the zero-shear viscosity ratio of the blended polymers. In the case of PP, recycling led to reduced viscosity likely attributed to temperature and shear mediated chain scission inducing changes in both the matrix and dispersed phase’s viscosity. The study provided valuable insights into the behavior of the materials and composites undergoing through recycling.</p></div>","PeriodicalId":468,"journal":{"name":"Applied Composite Materials","volume":"31 5","pages":"1625 - 1644"},"PeriodicalIF":2.3,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141783462","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

Correction: Finite Element Analysis and Machine Learning Guided Design of Carbon Fiber Organosheet-Based Battery Enclosures for Crashworthiness 更正：有限元分析和机器学习指导下的碳纤维有机片电池外壳防撞设计

IF 2.3 4区材料科学

Applied Composite Materials Pub Date : 2024-07-20 DOI: 10.1007/s10443-024-10249-6

Shadab Anwar Shaikh, M. F. N. Taufique, Kranthi Balusu, Shank S. Kulkarni, Forrest Hale, Jonathan Oleson, Ram Devanathan, Ayoub Soulami

引用次数: 0

Empirical Characterization and Modeling of Cohesive – to – Adhesive Shear Fracture Mode Transition due to Increased Adhesive Layer Thicknesses of Fiber Reinforced Composite Single – Lap Joints 纤维增强复合材料单搭接接头粘合剂层厚度增加导致粘合剂到粘合剂剪切断裂模式转变的经验表征与建模

IF 2.3 4区材料科学

Applied Composite Materials Pub Date : 2024-07-20 DOI: 10.1007/s10443-024-10251-y

Peter E. Caltagirone, Dylan S. Cousins, Dana Swan, David Snowberg, John R. Berger, Aaron P. Stebner

{"title":"Empirical Characterization and Modeling of Cohesive – to – Adhesive Shear Fracture Mode Transition due to Increased Adhesive Layer Thicknesses of Fiber Reinforced Composite Single – Lap Joints","authors":"Peter E. Caltagirone, Dylan S. Cousins, Dana Swan, David Snowberg, John R. Berger, Aaron P. Stebner","doi":"10.1007/s10443-024-10251-y","DOIUrl":"10.1007/s10443-024-10251-y","url":null,"abstract":"<div><p>To ensure a strong adhesive bond, most standards and adhesive manufacturers specify a maximum adhesive gap of 1 mm when bonding fiber reinforced composite structures. In manufacturing large components, such as joining two halves of wind turbine blades, meeting this gap tolerance specification is impractical; gaps larger than 10 mm are common in large adhesively bonded composite structures using state-of-the-art manufacturing techniques. Currently, there is a lack of fundamental understanding of the failure mechanics of adhesive gaps larger than 3 mm. To create such understanding, glass fiber – acrylic thermoplastic composite panels bonded using different epoxy adhesives within single-lap joint samples with adhesive thicknesses of 0.1 mm, 0.3 mm, 1 mm, 3 mm, 5 mm, and 10 mm were sheared to failure. A transition from cohesive to adhesive failure was observed to occur about 1 mm to 3 mm joint thicknesses. Plotting the shear stress normalized by the ratio of the joint width to thickness as a function of the joint thickness normalized by the joint length is shown to result in the ability to fit simple empirically derived models of the cohesive-to-adhesive failure transition, regardless of the adhesive. Furthermore, using these normalized variables, all the observed cohesively failed specimens collapse to a single master curve, as do the adhesively failed specimens.\u0000</p></div>","PeriodicalId":468,"journal":{"name":"Applied Composite Materials","volume":"31 5","pages":"1547 - 1570"},"PeriodicalIF":2.3,"publicationDate":"2024-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141744173","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

Unsupervised Machine Learning for Automatic Image Segmentation of Impact Damage in CFRP Composites 无监督机器学习用于 CFRP 复合材料冲击损伤的自动图像分割

IF 2.3 4区材料科学

Applied Composite Materials Pub Date : 2024-07-13 DOI: 10.1007/s10443-024-10252-x

Olesya Zhupanska, Pavlo Krokhmal

{"title":"Unsupervised Machine Learning for Automatic Image Segmentation of Impact Damage in CFRP Composites","authors":"Olesya Zhupanska, Pavlo Krokhmal","doi":"10.1007/s10443-024-10252-x","DOIUrl":"https://doi.org/10.1007/s10443-024-10252-x","url":null,"abstract":"<p>In this work, a novel unsupervised machine learning (ML) method for automatic image segmentation of low velocity impact damage in carbon fiber reinforced polymer (CFRP) composites has been developed. The method relies on the use of non-parametric statistical models in conjunction with the so-called intensity-based segmentation, enabling one to determine the thresholds of image histograms and isolate the damage. Statistical distance metrics, including the Kullback–Leibler divergence, the Helling distance, and the Renyi divergence are used to formulate and solve optimization problems for finding the thresholds. The developed method enabled rigorous and rapid automatic image segmentation of the grayscale images from the micro computed tomography (micro-CT) scans of the impacted CFRP composites. Sensitivity of the segmentation results with respect to the thresholds obtained using different statistical distances has been investigated. Based on the analysis of the segmentation results, it is concluded that the Kullback-Leibler divergence is the most appropriate statistical measure and should be used for automatic image segmentation of impact damage in CFRP composites.</p>","PeriodicalId":468,"journal":{"name":"Applied Composite Materials","volume":"21 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141610020","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

Structural Design of SiCp/A356 Brake Discs Based on Multi-field Coupling and Material Characteristics 基于多场耦合和材料特性的 SiCp/A356 制动盘结构设计

IF 2.3 4区材料科学

Applied Composite Materials Pub Date : 2024-07-13 DOI: 10.1007/s10443-024-10248-7

Pilin Song, Zhiyong Yang, Mengfan Xue, Jiajun Zang, Mengcheng Sun, Shanshan Ye, Huade Sun, Peizhen Li, Zhiqiang Li

{"title":"Structural Design of SiCp/A356 Brake Discs Based on Multi-field Coupling and Material Characteristics","authors":"Pilin Song, Zhiyong Yang, Mengfan Xue, Jiajun Zang, Mengcheng Sun, Shanshan Ye, Huade Sun, Peizhen Li, Zhiqiang Li","doi":"10.1007/s10443-024-10248-7","DOIUrl":"10.1007/s10443-024-10248-7","url":null,"abstract":"<div><p>The structural design of the brake disc of urban rail trains, especially the design of the heat dissipation rib structure, affects the heat dissipation performance of the brake disc. Unreasonable design can lead to poor heat dissipation performance and generate energy consumption caused by large air-pumping resistance. However, the current structural design method for brake discs does not consider material characteristics and continues with materials such as steel and iron. There is no long-term service performance testing applicable to brake disc service conditions for lightweight and high-strength materials such as aluminum matrix composites. In addition, there is no comprehensive and systematic analysis of the structural design of cooling ribs. Therefore, a structure of SiCp/A356 brake discs for urban rail trains was designed in this work. Different from the previous design method, long-term performance testing of materials was conducted first, and then the heat dissipation performance and energy loss performance of different cooling rib structures were systematically analyzed to select the appropriate cooling rib structure. Based on long-term performance testing results, cooling rib optimization, and material forming process, a new brake disc structure was designed. The thermal-fluid–solid multi-field coupling simulation was conducted on the new structure brake disc under emergency braking and full round-trip conditions, and bench tests were conducted to verify the reliability of the simulation. Based on comprehensive simulation and bench test results, the new structure SiCp/A356 brake disc meets the established operating conditions. This design method considers material properties, multi-field coupling simulation, and engineering practice, which can a provide reference for the design of other brake discs and has high engineering application value.</p></div>","PeriodicalId":468,"journal":{"name":"Applied Composite Materials","volume":"31 5","pages":"1515 - 1546"},"PeriodicalIF":2.3,"publicationDate":"2024-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141610074","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

Enhancing the Impact Resilience of Subzero Composite Laminates by Novel Recycled Milled Hybrid Fillers 利用新型回收铣削混合填料增强零下复合材料层压板的冲击回弹性

IF 2.3 4区材料科学

Applied Composite Materials Pub Date : 2024-07-13 DOI: 10.1007/s10443-024-10244-x

Indhumathi Elango, Arumugam Vellayaraj

{"title":"Enhancing the Impact Resilience of Subzero Composite Laminates by Novel Recycled Milled Hybrid Fillers","authors":"Indhumathi Elango, Arumugam Vellayaraj","doi":"10.1007/s10443-024-10244-x","DOIUrl":"https://doi.org/10.1007/s10443-024-10244-x","url":null,"abstract":"<p>Composites reinforced with fibres have a high specific strength and are very rigid, making them useful in the energy, aerospace, and automotive sectors. Composite constructions are susceptible to internal damage and residual strength loss due to unanticipated exterior impacts in the workplace. Addressing the disposal of composite materials sustainably is another persistent challenge. Low-velocity Impact at room temperature, -20 <sup>o</sup>C and -50 <sup>o</sup>C temperatures, and post-impact flexural (FAI) behaviour of glass/epoxy composite laminates are studied with the inclusion of recycled milled carbon (rmCF), recycled milled Kevlar (rmKF), and hybrid recycled fibres (rmHF) as fillers. Using ultra-sonication and mechanical stirring procedures, the glass/epoxy laminates were enhanced with 3.5% rmC Fillers, 0.375% rmK Fillers, and 0.375% rmH Fillers by weight of epoxy. The impact force, absorbed energy, residual flexural strength, and growth of damage area were used in investigations of surface roughness and hardness and the crash performances to evaluate the reaction of neat glass epoxy and glass epoxy composites loaded with recycled milled fillers to low-velocity impacts at sub-zero temperatures. With a peak force increase of 97.4%, a damaged area drop of 28%, and a reduction of 30.3% and 54.1% in surface roughness, respectively, the rmHF composites outperformed the baseline samples. The residual flexural strength of rmH filler samples was 14.2% more than that of raw glass epoxy composites during LVI testing, as measured in a 3-point bending test conducted at -20 <sup>o</sup>C. Recycled milled filler composite has better impact and FAI characteristics, making it a promising material for load-bearing uses in sub-zero temperatures.</p>","PeriodicalId":468,"journal":{"name":"Applied Composite Materials","volume":"84 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2024-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141610075","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