Composites Part B: Engineering最新文献

{"title":"The magnesium-doped CSH/BCP promotes alveolar bone regeneration by mediating M2 macrophage polarization via miR-21–5p/Smad2 axis","authors":"","doi":"10.1016/j.compositesb.2024.111811","DOIUrl":"10.1016/j.compositesb.2024.111811","url":null,"abstract":"<div><p>The repair of alveolar bone defects is a complex biological process that involves the interplay between implant materials, bone marrow mesenchymal stem cells (BMSCs), and the immune cells present in the surrounding area. Moreover, the polarization of macrophages induced by implant materials has been shown to play a crucial role in regulating bone regeneration. Recent studies have discovered that M2 macrophages promote the osteogenic differentiation of BMSCs by activating the TGF-β/BMP signaling pathway. However, the molecular mechanisms underlying the regulation of bone regeneration in BMSCs by macrophages remain unclear. Our in vivo study demonstrated that a 10 % magnesium (Mg²⁺)-doped calcium sulfate hemihydrate -biphasic calcium phosphate (CSH/BCP) composite ceramic material was effective in repairing alveolar bone defects in rabbits. In our in vitro study, we observed that this ceramic material could induce M2 macrophage polarization and reduce inflammation. Moreover, the conditioned media obtained from M2 macrophages promoted the osteogenic differentiation of BMSCs. Additionally, our research showed that overexpression of miR-21–5p inhibited M2 macrophage polarization and reduced the osteogenic differentiation capacity of BMSCs. Co-overexpression of miR-21–5p and Smad2 in macrophages partially reversed the effects of miR-21–5p on the osteogenic differentiation of BMSCs and macrophage polarization. These findings suggested that Mg²⁺-doped CSH/BCP composite ceramic materials could enhance M2 macrophage polarization through the miR-21–5p/Smad2 axis, and the microenvironment of M2 macrophages could further promote the osteogenic differentiation of BMSCs. The findings presented in this work offer valuable insights into the molecular mechanisms that regulate bone regeneration in BMSCs and the role of macrophages in this process.</p></div>","PeriodicalId":10660,"journal":{"name":"Composites Part B: Engineering","volume":null,"pages":null},"PeriodicalIF":12.7,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142162360","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}

{"title":"Machine learning based damage identification in SiC/SiC composites from acoustic emissions using autoencoders","authors":"","doi":"10.1016/j.compositesb.2024.111802","DOIUrl":"10.1016/j.compositesb.2024.111802","url":null,"abstract":"<div><p>Developing the ability to leverage machine learning (ML) to identify damage mechanisms in heterogeneous materials from their acoustic emissions (AE) has wide-reaching ramifications for multi-modal experimentation. It would allow researchers to augment damage triangulation, lifetime prediction, and high-resolution optical studies with complementary mechanism-informed data streams. However, developing this capability hinges on the collection of ground truth acoustic libraries from damage in realistic geometries. Due to time and monetary considerations, there is a dearth of ground truth libraries which can be used to robustly characterize ML mechanism identification frameworks. Addressing this gap, we present a multi-modal acoustic emission and x-ray computed tomography study where AE is gathered, and subsequently labeled, from SiC/SiC unidirectional composites under monotonic tension. This library is used to demonstrate that acoustic signals from early fiber breaks are obscured by matrix cracking. A first-order micromechanical model is used to explain the origin of this obscuring effect, and identify fundamental limitations of unsupervised frameworks. An autoencoder-based anomaly detector approach is used for the first time to overcome these limitations, additionally demonstrating that the frequency distribution of fiber break acoustic signals is narrow. Implications of these findings for enhanced multi-modal testing and online health monitoring are discussed, and strategies for implementation of supervised damage mechanism identification frameworks are proposed.</p></div>","PeriodicalId":10660,"journal":{"name":"Composites Part B: Engineering","volume":null,"pages":null},"PeriodicalIF":12.7,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142162362","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}

{"title":"Limit states of thin-walled composite structures with closed sections under axial compression","authors":"","doi":"10.1016/j.compositesb.2024.111813","DOIUrl":"10.1016/j.compositesb.2024.111813","url":null,"abstract":"<div><p>The subjects of the study were thin-walled composite columns with closed cross sections manufactured using the autoclave technique. The composite profiles were characterized by the fact that they had a constant height and arrangement of laminate layers, however, varied cross-sectional shapes. The study was conducted using several interdisciplinary experimental research methods and advanced numerical simulations. In the course of the research, both forms of structural stability loss were registered, and damage to composite structures was assessed. In the course of the research, the influence of the shape of the cross-section on the stability and load-carrying capacity of the structure was evaluated. A measurable effect of the conducted research was the determination of the structure's post-buckling equilibrium paths, which made it possible to determine the structure's behavior in the full range of loading. In addition, the author's numerical models developed enabled validation of parallel experimental studies. The developed numerical models were based on a failure criterion known as progressive failure analysis - which allowed a thorough assessment of the failure mechanism of the composite material.</p></div>","PeriodicalId":10660,"journal":{"name":"Composites Part B: Engineering","volume":null,"pages":null},"PeriodicalIF":12.7,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1359836824006255/pdfft?md5=4b606703c80b0afa91b1ed30b3b93169&pid=1-s2.0-S1359836824006255-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142148195","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A model-based deep learning framework for damage classification and detection in polycarbonate infused with AEROSIL under dynamic loading conditions","authors":"","doi":"10.1016/j.compositesb.2024.111810","DOIUrl":"10.1016/j.compositesb.2024.111810","url":null,"abstract":"<div><p>Composite 3D printing is a significant engineering application owing to its robustness, ability to achieve complex geometries, and ease of use. Polycarbonate, particularly when infused with AEROSIL, is an interesting thermoplastic and potential candidate for 3D printing with enhanced properties. The primary objective of this research is to develop a new model-based deep-learning framework to classify and detect damage in this material under dynamic loading conditions. To achieve this, a FASTCAM high-speed camera was placed in front of the SHPB test setup to capture dynamic damage. The test results were then used as label inputs for training the advanced deep learning algorithms, focusing on dense image recognition techniques for detailed damage analysis. The study involved a series of fully convolutional networks (FCNs), evaluating semantic segmentation with U-Net and instance segmentation with state-of-the-art frameworks such as YOLOv8 and Mask R–CNN. A comparative analysis revealed that deep learning models outperform traditional methods, providing efficient and accurate damage classification and detection. The U-Net model demonstrated the ability to recognize cubes and bars but was limited in detecting minor damage regardless of size. YOLO-V8, which specializes in case segmentation, achieved remarkable performance in detecting significant damage but struggled to accurately identify minor damage. By leveraging deep learning techniques, this study enables an efficient and accurate damage assessment, which is crucial for ensuring the reliability and safety of composite structures in various industries.</p></div>","PeriodicalId":10660,"journal":{"name":"Composites Part B: Engineering","volume":null,"pages":null},"PeriodicalIF":12.7,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142129838","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}

{"title":"Carvacrol-loaded premixed calcium phosphate bone cements with exceptional osteogenic and antibacterial properties to heal infected bone defects","authors":"","doi":"10.1016/j.compositesb.2024.111812","DOIUrl":"10.1016/j.compositesb.2024.111812","url":null,"abstract":"<div><p>The healing of infected bone fractures represents a significant clinical challenge in orthopedic surgery. Calcium phosphate cements (CPCs) are attractive materials, highly applicable in bone healing due to their satisfactory biological properties and chemical similarity to bone minerals. However, manual mixing is often required before localized application of conventional CPCs, increasing the risk of infection. Moreover, their antibacterial properties are often insufficient for treating infected fractures. In this study, antimicrobial two-paste premixed CPCs loaded with carvacrol were developed. The influence of the carvacrol on the setting properties and mechanical strength of the cement was studied. In vitro studies demonstrated the biocompatibility, osteogenic potential, and broad-spectrum antimicrobial efficacy of the premixed bone cements, including effectiveness against gram-positive, gram-negative, and drug-resistant bacteria. Notably, in vivo studies revealed exceptional antimicrobial and osteogenic properties of the carvacrol-loaded cements, confirming the promising potential of the premixed cements for the healing of infected bone defects.</p></div>","PeriodicalId":10660,"journal":{"name":"Composites Part B: Engineering","volume":null,"pages":null},"PeriodicalIF":12.7,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142148093","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}

{"title":"Corrigendum to “Supramolecular hydrogel-loaded Prussian blue nanoparticles with photothermal and ROS scavenging ability for tumor postoperative treatments” [Compos. Part B: Eng. 237 (2022) 1–11 109872]","authors":"","doi":"10.1016/j.compositesb.2024.111807","DOIUrl":"10.1016/j.compositesb.2024.111807","url":null,"abstract":"","PeriodicalId":10660,"journal":{"name":"Composites Part B: Engineering","volume":null,"pages":null},"PeriodicalIF":12.7,"publicationDate":"2024-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S135983682400619X/pdfft?md5=8ffdb69d23650357137a93e3e1d21f5a&pid=1-s2.0-S135983682400619X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142150278","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Electrochemical evaluation of fenitrothion organophosphate pesticide in food samples: Novel tetra trifluoromethyl carboxamide zinc (II) macrocyclic complex composite with multiwalled carbon nanotubes","authors":"","doi":"10.1016/j.compositesb.2024.111808","DOIUrl":"10.1016/j.compositesb.2024.111808","url":null,"abstract":"<div><p>This study presents the development of a groundbreaking electrochemical sensor for detecting fenitrothion (FNT) using a multi-walled carbon nanotubes (MWCNTs) and a newly synthesized zinc (II) tetra trifluoromethyl carboxamide phthalocyanine (ZnTFMPCAPc). The ZnTFMPCAPc was synthesized concluding a two-step mechanical and magnetic stirring method, and the ensuing ZnTFMPCAPc@MWCNTs underwent comprehensive characterization employing X-ray diffraction (XRD), Ultraviolet visible spectroscopy (UV–Vis), mass spectrum, Fourier transform infrared spectroscopy (FT-IR), Thermo-gravimetric analysis (TGA), X-ray photoelectron spectroscopy (XPS), Mass, Raman spectra, Transmission Electron Microscopy (TEM) and scanning electron microscope (SEM). Cyclic voltammetry (CV) analysis demonstrated a remarkable seven-fold improvement in electrochemical signals with ZnTFMPCAPc@MWCNTs on modified glassy carbon electrode (GCE) compared to a bare and modified GCE. The correlation between peak current and FNT concentration (in the range of 10–310 μmol) was established. The estimated limits of detection (LOD) and quantification (LOQ) were determined to be 1.358 nmol and 4.075 nmol respectively. The ZnTFMPCAPc@MWCNTs/GCE sensor was successfully evaluated by quantifying FNT in tomatoes, grapes, paddy grains, and potato extracts, resulting in satisfactory results. Detecting fenitrothion is crucial due to its widespread use as a pesticide, which can result in environmental contamination and pose health risks. Regular monitoring is essential for protecting food and water supplies, preserving ecosystems, and ensuring compliance with regulations to prevent long-term environmental damage.</p></div>","PeriodicalId":10660,"journal":{"name":"Composites Part B: Engineering","volume":null,"pages":null},"PeriodicalIF":12.7,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142129834","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}

{"title":"Vat photopolymerization 3D printing of glass microballoon-reinforced TPMS meta-structures","authors":"","doi":"10.1016/j.compositesb.2024.111799","DOIUrl":"10.1016/j.compositesb.2024.111799","url":null,"abstract":"<div><p>Advancements in additive manufacturing coincide with the influx of assiduous research in realizing complex structures using printable composite materials with tunable properties. In this research study, photocurable resins with a broad range of mechanical properties were hybridized with ceramic particles to engineer the overall mechanical response. The newly formulated printable resins comprised up to 20 <em>wt</em><em>.</em>% glass microballoons, balancing the tunability of the composite properties and manufacturability by overcoming light-reinforcement challenges. The compressive and tensile bulk properties were first assessed using additively manufactured samples tested under quasi-static loading. Complementary digital image correlation (DIC) was used to resolve the strain fields, revealing insights about the mechanical behavior and failure modes as a function of reinforcement weight ratio. Despite the expected hyperelastic constitutive behavior and shared macromolecular composition, the neat and hybridized photocurable resins exhibited distinctive mechanical behavior, leading to the characterization of the dynamic properties as a function of temperature to ascertain the underpinnings of respective responses. Triply periodic minimal surface (TPMS) structures were also manufactured using the vat photopolymerization approach to demonstrate the utility of newly formulated printable composite resins. The printed structures were tested under compression at a quasi-static loading rate. The DIC-resolved strains revealed the underlying structural mechanics as a function of the material properties. This case study correlates the mechanics governing particulate-reinforced elastomers with the observed variations in strain development, stiffness, load-bearing capacity, and specific energy absorption for TPMS structures. Finite element analysis (FEA) based on hyperelastic potential and using the properties of the bulk resin closely matched the deformation patterns from the experimental DIC results. The outcomes of this research reveal the potential for tunable, 3D printed sports gear for impact mitigation in various biomechanical loading conditions.</p></div>","PeriodicalId":10660,"journal":{"name":"Composites Part B: Engineering","volume":null,"pages":null},"PeriodicalIF":12.7,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1359836824006115/pdfft?md5=93431450c088479231407384150ec716&pid=1-s2.0-S1359836824006115-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142122345","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Designing density-graded cellular materials for tailored constitutive response","authors":"","doi":"10.1016/j.compositesb.2024.111793","DOIUrl":"10.1016/j.compositesb.2024.111793","url":null,"abstract":"<div><p>Cellular materials are known for their lightweight nature and remarkable energy absorption characteristics attributed to their cellular structure. This study focuses on the design aspect of cellular materials to achieve specific constitutive responses through density gradation. A three-parameter empirical constitutive model is employed to characterize the behavior of density-graded cellular materials, utilizing experimentally derived parameters for rigid polyurethane foam. The investigation reveals a highly nonlinear spatial variation of local strains that influence the mechanical behavior of density-graded materials. The study investigates the isolated effect of density gradients within these materials on their mechanical behavior and energy absorption. Comparative analyses demonstrate that density-graded materials outperform uniform-density counterparts, particularly at lower stress levels, with greater energy absorption enhancement observed in materials featuring steeper density gradients. Finally, the optimal variables controlling density variation are identified to achieve desired stress–strain responses. These findings contribute to the enhanced understanding and practical utilization of density-graded cellular materials in applications requiring tailored mechanical performance and energy absorption capabilities.</p></div>","PeriodicalId":10660,"journal":{"name":"Composites Part B: Engineering","volume":null,"pages":null},"PeriodicalIF":12.7,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142148194","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}

{"title":"Self-healing carbon fiber/epoxy laminates with particulate interlayers of a low-melting-point alloy","authors":"","doi":"10.1016/j.compositesb.2024.111792","DOIUrl":"10.1016/j.compositesb.2024.111792","url":null,"abstract":"<div><p>In order to prolong the service life of fiber-reinforced polymer composites, the implementation of self-healing ability with the micro-encapsulated healing agent has been extensively studied. However, such microcapsule-based self-healing composites typically suffer from degraded mechanical properties due to the liquid-phase inclusions, thereby limiting their proliferation. Here, a low-melting-point alloy is utilized as the particulate inclusions of carbon fiber/epoxy laminated composites. Field's Metal particles (melting point: 62 °C) are distributed between woven carbon fiber preforms followed by the resin impregnation to realize laminated composites with a Field's Metal-enhanced interlayer(s). The resulting laminated composites demonstrate the autonomic repair of interlaminar failure with a 40 % of healing efficiency. Most of all, the mechanical properties of these self-healing laminated composites are comparable to the conventional laminated composites attributed to the rigid inclusions that can be compressed to increase the fiber volume. Since the Field's Metal particle inclusions can bestow polymer composites with self-healing ability and the potential increase in mechanical properties, Field's Metal-enhanced fiber-reinforced polymer composites are expected to unlock the practical utility of self-healing composites.</p></div>","PeriodicalId":10660,"journal":{"name":"Composites Part B: Engineering","volume":null,"pages":null},"PeriodicalIF":12.7,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142099714","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}