Composites Science and Technology最新文献_第5页

Thermo-oxidative ageing effect on the anisotropic compressive properties of 3D angle-interlock woven composites

IF 8.3 1区材料科学 Q1 MATERIALS SCIENCE, COMPOSITES

Composites Science and Technology

Pub Date : 2025-01-18 DOI: 10.1016/j.compscitech.2025.111063

Feng Xu , Jing Long , Baozhong Sun , Zhao Sha , Chun H. Wang , Jin Zhang , Bohong Gu

Thermo-oxidative ageing of 3D interlock woven composites can significantly degrade their mechanical properties, yet the complex interplay between the temperature-time degradation of the matrix and the 3D fibre architecture remains poorly understood. Herein, we investigate how thermo-oxidative ageing affects the anisotropic compressive properties of 3D angle-interlock woven composites. High-resolution digital image correlation (DIC) and high-speed imaging were employed to analyse the deformation behaviours, as well as failure initiation and progression processes, in different directions under quasi-static compressive loading. The results reveal that oxidative ageing caused matrix microcracking and degradations in the matrix's properties, with significant reductions in the composite's compressive properties in different directions. Matrix degradation emerged as the dominant factor, with ageing over 32 days causing a 17.33 % and 27.64 % reduction in the yield strength and compression modulus, respectively. The retentions of compressive properties of the composite exhibited significant directional dependence, with the Z-direction showing the most severe degradation due to the combined effects of resin degradation and interfacial debonding. Additionally, the integrated interwoven warp-weft structure and the increased Poisson's ratio effect by ageing-induced microcracks cracks resulted in greater transverse strains along the Y-direction (warp-direction) than the X-direction (weft-direction). Furthermore, the ageing-induced microcracks affected damage progression paths and accelerated the damage propagation rates while not changing the final V-shaped shear band. These findings provide crucial insights into the effects of thermo-oxidative ageing on the compressive mechanical properties of 3D angle-interlock woven composites, providing new knowledge to ensure the safe application of composites under extreme thermal-oxidative environments.

{"title":"Thermo-oxidative ageing effect on the anisotropic compressive properties of 3D angle-interlock woven composites","authors":"Feng Xu , Jing Long , Baozhong Sun , Zhao Sha , Chun H. Wang , Jin Zhang , Bohong Gu","doi":"10.1016/j.compscitech.2025.111063","DOIUrl":"10.1016/j.compscitech.2025.111063","url":null,"abstract":"<div><div>Thermo-oxidative ageing of 3D interlock woven composites can significantly degrade their mechanical properties, yet the complex interplay between the temperature-time degradation of the matrix and the 3D fibre architecture remains poorly understood. Herein, we investigate how thermo-oxidative ageing affects the anisotropic compressive properties of 3D angle-interlock woven composites. High-resolution digital image correlation (DIC) and high-speed imaging were employed to analyse the deformation behaviours, as well as failure initiation and progression processes, in different directions under quasi-static compressive loading. The results reveal that oxidative ageing caused matrix microcracking and degradations in the matrix's properties, with significant reductions in the composite's compressive properties in different directions. Matrix degradation emerged as the dominant factor, with ageing over 32 days causing a 17.33 % and 27.64 % reduction in the yield strength and compression modulus, respectively. The retentions of compressive properties of the composite exhibited significant directional dependence, with the Z-direction showing the most severe degradation due to the combined effects of resin degradation and interfacial debonding. Additionally, the integrated interwoven warp-weft structure and the increased Poisson's ratio effect by ageing-induced microcracks cracks resulted in greater transverse strains along the Y-direction (warp-direction) than the X-direction (weft-direction). Furthermore, the ageing-induced microcracks affected damage progression paths and accelerated the damage propagation rates while not changing the final V-shaped shear band. These findings provide crucial insights into the effects of thermo-oxidative ageing on the compressive mechanical properties of 3D angle-interlock woven composites, providing new knowledge to ensure the safe application of composites under extreme thermal-oxidative environments.</div></div>","PeriodicalId":283,"journal":{"name":"Composites Science and Technology","volume":"262 ","pages":"Article 111063"},"PeriodicalIF":8.3,"publicationDate":"2025-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143127849","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

The prediction of homogenized effective properties of continuous fiber composites based on a deep transfer learning approach

IF 8.3 1区材料科学 Q1 MATERIALS SCIENCE, COMPOSITES

Composites Science and Technology

Pub Date : 2025-01-18 DOI: 10.1016/j.compscitech.2025.111050

Zefei Wang , Sen Wang , Changwen Ma , Zhuoyun Yang

The homogenization method based on the representative volume element can effectively mitigate the computational challenges posed by the significant scale differences in composite materials. In the structural design of Continuous Fiber Composites (CFCs), a wide range of variable parameters must be considered to meet the demands of practical applications. This paper proposes a rapid prediction method for the equivalent properties of CFCs based on deep transfer learning. First, the influence of fiber volume fraction and fiber distribution randomness on the equivalent properties was studied through extensive numerical simulation models. Next, a Residual Convolutional Neural Network (ResNet) was utilized to handle multimodal inputs of CFCs' cross-sectional images and material properties, aiming to learn the highly nonlinear relationship between them and their equivalent properties. Finally, to ensure that the trained model could be quickly adapted to composite materials with mechanical properties transitioning from a small region of the property space to another, a transfer learning approach was utilized to fine-tune specific parts of the model. This method enables the prediction of equivalent properties of various composite materials with shorter training time and fewer samples, thereby supporting multi-scale simulation analysis and structural design of composite materials.

{"title":"The prediction of homogenized effective properties of continuous fiber composites based on a deep transfer learning approach","authors":"Zefei Wang , Sen Wang , Changwen Ma , Zhuoyun Yang","doi":"10.1016/j.compscitech.2025.111050","DOIUrl":"10.1016/j.compscitech.2025.111050","url":null,"abstract":"<div><div>The homogenization method based on the representative volume element can effectively mitigate the computational challenges posed by the significant scale differences in composite materials. In the structural design of Continuous Fiber Composites (CFCs), a wide range of variable parameters must be considered to meet the demands of practical applications. This paper proposes a rapid prediction method for the equivalent properties of CFCs based on deep transfer learning. First, the influence of fiber volume fraction and fiber distribution randomness on the equivalent properties was studied through extensive numerical simulation models. Next, a Residual Convolutional Neural Network (ResNet) was utilized to handle multimodal inputs of CFCs' cross-sectional images and material properties, aiming to learn the highly nonlinear relationship between them and their equivalent properties. Finally, to ensure that the trained model could be quickly adapted to composite materials with mechanical properties transitioning from a small region of the property space to another, a transfer learning approach was utilized to fine-tune specific parts of the model. This method enables the prediction of equivalent properties of various composite materials with shorter training time and fewer samples, thereby supporting multi-scale simulation analysis and structural design of composite materials.</div></div>","PeriodicalId":283,"journal":{"name":"Composites Science and Technology","volume":"262 ","pages":"Article 111050"},"PeriodicalIF":8.3,"publicationDate":"2025-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143092947","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

Enhanced mechanical properties of aramid fiber/epoxy composites through reinforcing interfacial adhesion based on strong hydrogen bonding interactions

IF 8.3 1区材料科学 Q1 MATERIALS SCIENCE, COMPOSITES

Composites Science and Technology

Pub Date : 2025-01-17 DOI: 10.1016/j.compscitech.2025.111057

Yan Wang, Xianhui Dong, Yan Wang, Zuming Hu, Yinjun Chen, Junrong Yu, Meifang Zhu

Aramid fiber/epoxy (AF/EP) composites often exhibit suboptimal interfacial bonding between the fibers and matrix, which undermines their mechanical performance and hinders the broader application of these materials. Herein, an amphiphilic polymer brush of polyvinyl alcohol-2-Amino-4-hydroxy-6-methylpyrimidine-hexyl-isocyanate (PVA-UPy) as interfacial modification agent was designed and synthesized to reinforce interfacial bonding of AF/EP composites. The incorporation of PVA-UPy markedly improved the interfacial adhesion between the aramid fibers and the epoxy matrix, leveraging strong supramolecular interactions and principle of “like dissolves like”. The interfacial shear strength of AF/EP composites displayed a substantial boost from 27.9 MPa to 60.9 MPa. Additionally, the interlaminar shear strength, flexural strength and tensile strength of composites were reinforced by 55.9 %, 46.8 % and 42.9 %, respectively. The reinforcement is ascribed to the formation of strong hydrogen bonds between 2-Amino-4-hydroxy-6-methylpyrimidine (UPy) side chain of PVA-UPy and the AF/EP interface, as well as the compatibility principle between hydroxyl and epoxy. This work presents a novel and straightforward approach to the design and synthesis of interfacial modification agents, offering an effective strategy for reinforcing interfacial bonding in composites through supramolecular interactions.

{"title":"Enhanced mechanical properties of aramid fiber/epoxy composites through reinforcing interfacial adhesion based on strong hydrogen bonding interactions","authors":"Yan Wang, Xianhui Dong, Yan Wang, Zuming Hu, Yinjun Chen, Junrong Yu, Meifang Zhu","doi":"10.1016/j.compscitech.2025.111057","DOIUrl":"10.1016/j.compscitech.2025.111057","url":null,"abstract":"<div><div>Aramid fiber/epoxy (AF/EP) composites often exhibit suboptimal interfacial bonding between the fibers and matrix, which undermines their mechanical performance and hinders the broader application of these materials. Herein, an amphiphilic polymer brush of polyvinyl alcohol-2-Amino-4-hydroxy-6-methylpyrimidine-hexyl-isocyanate (PVA-UPy) as interfacial modification agent was designed and synthesized to reinforce interfacial bonding of AF/EP composites. The incorporation of PVA-UPy markedly improved the interfacial adhesion between the aramid fibers and the epoxy matrix, leveraging strong supramolecular interactions and principle of “like dissolves like”. The interfacial shear strength of AF/EP composites displayed a substantial boost from 27.9 MPa to 60.9 MPa. Additionally, the interlaminar shear strength, flexural strength and tensile strength of composites were reinforced by 55.9 %, 46.8 % and 42.9 %, respectively. The reinforcement is ascribed to the formation of strong hydrogen bonds between 2-Amino-4-hydroxy-6-methylpyrimidine (UPy) side chain of PVA-UPy and the AF/EP interface, as well as the compatibility principle between hydroxyl and epoxy. This work presents a novel and straightforward approach to the design and synthesis of interfacial modification agents, offering an effective strategy for reinforcing interfacial bonding in composites through supramolecular interactions.</div></div>","PeriodicalId":283,"journal":{"name":"Composites Science and Technology","volume":"262 ","pages":"Article 111057"},"PeriodicalIF":8.3,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143092946","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

Effect of low-density polyethylene on properties of ethylene-vinyl based semi-conductive shielding materials

IF 8.3 1区材料科学 Q1 MATERIALS SCIENCE, COMPOSITES

Composites Science and Technology

Pub Date : 2025-01-17 DOI: 10.1016/j.compscitech.2025.111046

Jie Lin , Shuai Hou , Zhi-Xing Wang , Yong-Fan Lin , Yuan-Ze Liu , Qiu-Yu Duan , Run-Pan Nie , Ding-Xiang Yan , Li-Chuan Jia , Zhong-Ming Li

Ethylene-vinyl acetate copolymer (EVA)-based semi-conductive shielding materials (SCSM) are extensively used in low- and medium-voltage cables. However, the limited thermal stability of EVA prevents its application in high-voltage cables. Herein, low-density polyethylene (LDPE) was introduced to blend with EVA, and carbon black (CB) served as conductive fillers to fabricate the CB/EVA@LDPE composites with enhanced thermal stability for application as high-voltage SCSM. Benefiting from the inter-chain interaction between EVA and LDPE molecular chains and the selective distribution of CB, the CB/EVA@LDPE composites achieve the integration of favorable thermal stability, superior electrical performance and good mechanical properties. Specifically, the resultant composites exhibit a superior initial decomposition temperature (300.1 °C) at 30 phr LDPE compared to the CB/EVA composites (285.6 °C). The tensile strength and elongation at break of the CB/EVA@LDPE composites are 18.6 MPa and 281.2 %, which still maintain a desirable level. Moreover, the incorporation of LDPE also contributes to a favorable volume resistivity of 63.9 Ω cm and low PTC intensity (4.7) based on the unique conductive network in the EVA/LDPE blend system. This work is expected to provide favorable insights on the design of high thermal stable SCSM for applications in high-voltage cables.

{"title":"Effect of low-density polyethylene on properties of ethylene-vinyl based semi-conductive shielding materials","authors":"Jie Lin , Shuai Hou , Zhi-Xing Wang , Yong-Fan Lin , Yuan-Ze Liu , Qiu-Yu Duan , Run-Pan Nie , Ding-Xiang Yan , Li-Chuan Jia , Zhong-Ming Li","doi":"10.1016/j.compscitech.2025.111046","DOIUrl":"10.1016/j.compscitech.2025.111046","url":null,"abstract":"<div><div>Ethylene-vinyl acetate copolymer (EVA)-based semi-conductive shielding materials (SCSM) are extensively used in low- and medium-voltage cables. However, the limited thermal stability of EVA prevents its application in high-voltage cables. Herein, low-density polyethylene (LDPE) was introduced to blend with EVA, and carbon black (CB) served as conductive fillers to fabricate the CB/EVA@LDPE composites with enhanced thermal stability for application as high-voltage SCSM. Benefiting from the inter-chain interaction between EVA and LDPE molecular chains and the selective distribution of CB, the CB/EVA@LDPE composites achieve the integration of favorable thermal stability, superior electrical performance and good mechanical properties. Specifically, the resultant composites exhibit a superior initial decomposition temperature (300.1 °C) at 30 phr LDPE compared to the CB/EVA composites (285.6 °C). The tensile strength and elongation at break of the CB/EVA@LDPE composites are 18.6 MPa and 281.2 %, which still maintain a desirable level. Moreover, the incorporation of LDPE also contributes to a favorable volume resistivity of 63.9 Ω cm and low PTC intensity (4.7) based on the unique conductive network in the EVA/LDPE blend system. This work is expected to provide favorable insights on the design of high thermal stable SCSM for applications in high-voltage cables.</div></div>","PeriodicalId":283,"journal":{"name":"Composites Science and Technology","volume":"262 ","pages":"Article 111046"},"PeriodicalIF":8.3,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143092893","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

Mechanics of composites with finite length crimped fibers dispersed in a soft matrix

IF 8.3 1区材料科学 Q1 MATERIALS SCIENCE, COMPOSITES

Composites Science and Technology

Pub Date : 2025-01-16 DOI: 10.1016/j.compscitech.2025.111056

Nandan N. Pitre , Edith Tzeng , Nhung Nguyen , Steven Abramowitch , Sachin S. Velankar

Collagen-containing tissues show strain hardening behavior due to the alignment and the waviness of collagen fibers. As the fibers uncrimp and align with stretching, they become increasingly load-bearing and make the tissue strain hardening. We consider the mechanics of analogous synthetic composites comprising stiff crimped fibers dispersed in a soft elastomeric matrix. A novel workflow is developed wherein a random configuration of hundreds of finite-length crimped fibers embedded in a soft matrix can be created, meshed, and then simulated by 3D finite element methods. We show that the mechanical behavior of these composites is affected by the degree of fiber crimp, the fiber volume fraction, and fiber orientation. The degree of reinforcement of the soft matrix was found to increase with volume fraction of the fibers, and with better alignment of the fibers along the tension direction. Fibers with larger crimp amplitude were found to show strain hardening behavior, i.e. contribute little to the stress at small strain, but much more at large strain. The Holzapfel-Gasser-Ogden model is shown to capture the stress-strain behavior adequately. Further, we show that simulations of a single fiber embedded in a soft matrix can approximately predict the mechanical behavior of multifiber composites at much reduced computational cost. Such composites of chopped crimped fibers offer the benefit of reproducing the mechanical behavior of tissues, while still being flow-processable.

{"title":"Mechanics of composites with finite length crimped fibers dispersed in a soft matrix","authors":"Nandan N. Pitre , Edith Tzeng , Nhung Nguyen , Steven Abramowitch , Sachin S. Velankar","doi":"10.1016/j.compscitech.2025.111056","DOIUrl":"10.1016/j.compscitech.2025.111056","url":null,"abstract":"<div><div>Collagen-containing tissues show strain hardening behavior due to the alignment and the waviness of collagen fibers. As the fibers uncrimp and align with stretching, they become increasingly load-bearing and make the tissue strain hardening. We consider the mechanics of analogous synthetic composites comprising stiff crimped fibers dispersed in a soft elastomeric matrix. A novel workflow is developed wherein a random configuration of hundreds of finite-length crimped fibers embedded in a soft matrix can be created, meshed, and then simulated by 3D finite element methods. We show that the mechanical behavior of these composites is affected by the degree of fiber crimp, the fiber volume fraction, and fiber orientation. The degree of reinforcement of the soft matrix was found to increase with volume fraction of the fibers, and with better alignment of the fibers along the tension direction. Fibers with larger crimp amplitude were found to show strain hardening behavior, i.e. contribute little to the stress at small strain, but much more at large strain. The Holzapfel-Gasser-Ogden model is shown to capture the stress-strain behavior adequately. Further, we show that simulations of a single fiber embedded in a soft matrix can approximately predict the mechanical behavior of multifiber composites at much reduced computational cost. Such composites of chopped crimped fibers offer the benefit of reproducing the mechanical behavior of tissues, while still being flow-processable.</div></div>","PeriodicalId":283,"journal":{"name":"Composites Science and Technology","volume":"263 ","pages":"Article 111056"},"PeriodicalIF":8.3,"publicationDate":"2025-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143330099","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

Preparation of multifunctional silicone rubber composites with silver-coated phase change microcapsules for advanced thermal management

IF 8.3 1区材料科学 Q1 MATERIALS SCIENCE, COMPOSITES

Composites Science and Technology

Pub Date : 2025-01-16 DOI: 10.1016/j.compscitech.2025.111052

Zhenxu Nie , Huan Zhang , Zhaoyu Lu , Letian Zhou , Junyan Wang , Shui Hu , Jingchao Li , Yonglai Lu

The miniaturization of electronic components and logic circuits has led to a significant increase in power consumption and heat generation. To ensure safe and reliable operation, there is an urgent demand for high-performance thermal interface materials (TIM) to facilitate effective heat dissipation. Although phase change materials (PCM) exhibit desirable properties, such as heat storage and temperature control, they face challenges, including low thermal conductivity and potential leakage during utilization. Herein, we prepared graphene oxide (GO) coated n-docosane particles using the Pickering emulsion template method, followed by the deposition of a silver layer on the surface to produce double-shell D-GO@Ag microcapsules, which enhanced the thermal conductivity while preventing leakage. By incorporating these microcapsules into silicone rubber, we successfully developed a highly thermally conductive PDMS/D-GO@25Ag composite, exhibiting a phase change enthalpy of 65.69 J/g and a thermal conductivity of 0.61 W/(m·K), along with excellent compliance properties. When utilized as a TIM, this composite significantly reduces device operating temperatures while maintaining strong stability. This work presents a promising strategy for developing multifunctional, thermally conductive elastomer-based PCM for efficient thermal management.

{"title":"Preparation of multifunctional silicone rubber composites with silver-coated phase change microcapsules for advanced thermal management","authors":"Zhenxu Nie , Huan Zhang , Zhaoyu Lu , Letian Zhou , Junyan Wang , Shui Hu , Jingchao Li , Yonglai Lu","doi":"10.1016/j.compscitech.2025.111052","DOIUrl":"10.1016/j.compscitech.2025.111052","url":null,"abstract":"<div><div>The miniaturization of electronic components and logic circuits has led to a significant increase in power consumption and heat generation. To ensure safe and reliable operation, there is an urgent demand for high-performance thermal interface materials (TIM) to facilitate effective heat dissipation. Although phase change materials (PCM) exhibit desirable properties, such as heat storage and temperature control, they face challenges, including low thermal conductivity and potential leakage during utilization. Herein, we prepared graphene oxide (GO) coated n-docosane particles using the Pickering emulsion template method, followed by the deposition of a silver layer on the surface to produce double-shell D-GO@Ag microcapsules, which enhanced the thermal conductivity while preventing leakage. By incorporating these microcapsules into silicone rubber, we successfully developed a highly thermally conductive PDMS/D-GO@25Ag composite, exhibiting a phase change enthalpy of 65.69 J/g and a thermal conductivity of 0.61 W/(m·K), along with excellent compliance properties. When utilized as a TIM, this composite significantly reduces device operating temperatures while maintaining strong stability. This work presents a promising strategy for developing multifunctional, thermally conductive elastomer-based PCM for efficient thermal management.</div></div>","PeriodicalId":283,"journal":{"name":"Composites Science and Technology","volume":"262 ","pages":"Article 111052"},"PeriodicalIF":8.3,"publicationDate":"2025-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143105319","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-task learning for predicting residual mechanical properties of CFRP laminates after impact

IF 8.3 1区材料科学 Q1 MATERIALS SCIENCE, COMPOSITES

Composites Science and Technology

Pub Date : 2025-01-15 DOI: 10.1016/j.compscitech.2025.111054

Yi Gong , Rui Zhou , Xiangli Li , Shizhao Wang , Miao Li , Sheng Liu

Carbon fiber reinforced polymer (CFRP) plays an increasingly important role in aerospace industry. However, CFRP is susceptible to external impacts damage during service. The evaluation of residual mechanical properties is essential to ensure the safety of damaged components. Existing studies usually focus on qualitative analyses, which is difficult to accurately predict the mechanical properties. In this study, we develop a multi-task prediction model based on multi-modal damage features for evaluating both absorbed energy and residual compressive properties of post-impact CFRP laminates. Specifically, the multi-modal features, obtained by adaptive fusion of surface morphology and dent features, are used to improve the learning ability of global and local damage. The regression module is optimized by an attention mechanism (the squeeze-and-excitation networks) to enhance the weight of key feature channels. Additionally, independent regression modules are designed to reduce interference between prediction tasks. The results show that the improved model achieves high fitting accuracy (

R^{2}

= 96.62 %) and low prediction error (less than 5.76 %), which realizes precise prediction of the residual compressive properties. This study provides a novel approach for properties assessment of damaged CFRP structures.

{"title":"Multi-task learning for predicting residual mechanical properties of CFRP laminates after impact","authors":"Yi Gong , Rui Zhou , Xiangli Li , Shizhao Wang , Miao Li , Sheng Liu","doi":"10.1016/j.compscitech.2025.111054","DOIUrl":"10.1016/j.compscitech.2025.111054","url":null,"abstract":"<div><div>Carbon fiber reinforced polymer (CFRP) plays an increasingly important role in aerospace industry. However, CFRP is susceptible to external impacts damage during service. The evaluation of residual mechanical properties is essential to ensure the safety of damaged components. Existing studies usually focus on qualitative analyses, which is difficult to accurately predict the mechanical properties. In this study, we develop a multi-task prediction model based on multi-modal damage features for evaluating both absorbed energy and residual compressive properties of post-impact CFRP laminates. Specifically, the multi-modal features, obtained by adaptive fusion of surface morphology and dent features, are used to improve the learning ability of global and local damage. The regression module is optimized by an attention mechanism (the squeeze-and-excitation networks) to enhance the weight of key feature channels. Additionally, independent regression modules are designed to reduce interference between prediction tasks. The results show that the improved model achieves high fitting accuracy (<span><math><mrow><msup><mi>R</mi><mn>2</mn></msup></mrow></math></span> = 96.62 %) and low prediction error (less than 5.76 %), which realizes precise prediction of the residual compressive properties. This study provides a novel approach for properties assessment of damaged CFRP structures.</div></div>","PeriodicalId":283,"journal":{"name":"Composites Science and Technology","volume":"261 ","pages":"Article 111054"},"PeriodicalIF":8.3,"publicationDate":"2025-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143169721","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

In-situ mechanical property identification and delamination growth prediction of laminates

IF 8.3 1区材料科学 Q1 MATERIALS SCIENCE, COMPOSITES

Composites Science and Technology

Pub Date : 2025-01-15 DOI: 10.1016/j.compscitech.2025.111053

Tongxiang Deng, Bo Gao, Huai Yan, Xinhao Chen, Qiang Yang, Songhe Meng

Accurately determining the mechanical properties of laminates and predicting their mechanical behavior are vital for structural design and reliability assessment. In this study, an identification method is proposed for simultaneously identifying in-situ elastic properties and interface properties of laminates. To alleviate the ill-posedness and improve the identification accuracy, the staged response characteristics of laminates were considered, and sensitivity analysis was used to decrease the quantity of properties being identified concurrently. Meanwhile, a multi-source information fusion strategy was adopted to improve the accuracy of property identification, which was validated through the compression experiment of open-hole laminates with delamination. The results show that the maximum deviation in property identification compared to the standard test is 5.34 %. Compared with using the single observation information, using multi-source information fusion for property identification has better accuracy in predicting structural response. Furthermore, the identified properties were employed to predict the delamination growth of the laminate. The difference between the predicted and actual delamination growth length is only 3.23 %.

{"title":"In-situ mechanical property identification and delamination growth prediction of laminates","authors":"Tongxiang Deng, Bo Gao, Huai Yan, Xinhao Chen, Qiang Yang, Songhe Meng","doi":"10.1016/j.compscitech.2025.111053","DOIUrl":"10.1016/j.compscitech.2025.111053","url":null,"abstract":"<div><div>Accurately determining the mechanical properties of laminates and predicting their mechanical behavior are vital for structural design and reliability assessment. In this study, an identification method is proposed for simultaneously identifying in-situ elastic properties and interface properties of laminates. To alleviate the ill-posedness and improve the identification accuracy, the staged response characteristics of laminates were considered, and sensitivity analysis was used to decrease the quantity of properties being identified concurrently. Meanwhile, a multi-source information fusion strategy was adopted to improve the accuracy of property identification, which was validated through the compression experiment of open-hole laminates with delamination. The results show that the maximum deviation in property identification compared to the standard test is 5.34 %. Compared with using the single observation information, using multi-source information fusion for property identification has better accuracy in predicting structural response. Furthermore, the identified properties were employed to predict the delamination growth of the laminate. The difference between the predicted and actual delamination growth length is only 3.23 %.</div></div>","PeriodicalId":283,"journal":{"name":"Composites Science and Technology","volume":"261 ","pages":"Article 111053"},"PeriodicalIF":8.3,"publicationDate":"2025-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143169724","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

Failure analysis methods for corrugated-core sandwich cylinders based on identified composite parameters and modified failure criteria

IF 8.3 1区材料科学 Q1 MATERIALS SCIENCE, COMPOSITES

Composites Science and Technology

Pub Date : 2025-01-13 DOI: 10.1016/j.compscitech.2025.111051

He Zhang , Hualin Fan

Composite structures have high sensitivity to inaccuracy of material parameters and geometry imperfections from making process, which greatly affect the accuracy of the ultimate load prediction. Three methods were proposed to enhance the accuracy of the ultimate load prediction of corrugated-core sandwich cylinders, including the finite element modelling (FEM) method based on parameter identification by vibration correlation technique (VCT), the failure map method based on multi-failure theory, and the knockdown factor (KDF) method based on imperfection sensitivity analysis. Traditional composite failure criteria were modified by the identified mechanical parameters. Adopting standard composite parameters, the FEM prediction error for the ultimate load is 50.5 %, and reduced to 20.9 %, 12.14 %, and 4.54 % by these three proposed methods based on identified parameters and modified failure criteria. Considering imperfections, the KDF method based on imperfection sensitivity analysis could suggest the most consistent ultimate load prediction with the experiment.

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引用次数: 0

Recycled glass fibre‒epoxy composites based on recovered fabrics from an environment-friendly combined solvolysis and thermolysis route

IF 8.3 1区材料科学 Q1 MATERIALS SCIENCE, COMPOSITES

Composites Science and Technology

Pub Date : 2025-01-11 DOI: 10.1016/j.compscitech.2025.111048

Gregory Ν. Petropoulos , Panayiotis Tsokanas , Athanasios Kotrotsos , Vassilis Kostopoulos

Material recycling is essential for environmental sustainability, but recycling composites remains notably more complex and costly than recycling metals. This study presents a novel eco-friendly and cost-effective route for recycling fibre-reinforced composites, capable of processing large-sized laminates. We decompose the amine-cured epoxy matrix of glass-fibre-reinforced laminates using hydrogen peroxide (35 wt% and 50 wt%, without co-oxidants or additives) at 90 °C and atmospheric pressure. The immersion time required is 24 hours for the 50 wt% concentration and 36 hours for the 35 wt% concentration. This decomposition route effectively breaks down the epoxy resin, enabling the recovery of woven fabric layers with unaltered architecture and satisfactorily clean glass fibres. Then, we use the recovered fabric layers to remanufacture composite panels. Microscopy and thermal degradation analyses reveal the characteristics of resin residues on the fibre surfaces, facilitating a comparison of the quality between virgin and recovered fibres. Fourier-transform infrared spectroscopy provides insights into the composition and recyclability of the decomposition products. Three-point bending tests and fractographic analysis assess the mechanical performance of the recycled composites. Finally, a preliminary life cycle assessment indicates the environmental viability of the process. Overall, the proposed decomposition method shows significant potential for recycling glass-fibre woven fabrics for reuse in moderate to high-performance structural applications.

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引用次数: 0