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  • Open Access

    ARTICLE

    Internal Microstructure and Properties of a Reduced Graphene Oxide/Carbon Fiber/Carbon Based Composite Materials

    Mingwei Ren1,2, Xiangchi Hou3, Xinyang Peng3, Yujing Zhou1, Kewei Gao2, Yunbo Chen1,*, Hong Qiu3, Hua Bai3, Xiaolan Hu3,*

    Journal of Polymer Materials, Vol.43, No.2, 2026, DOI:10.32604/jpm.2026.080324 - 30 June 2026

    Abstract During the preparation of carbon fiber reinforced carbon matrix (C/C) composites from resin based precursors, the glassy carbon derived from resin pyrolysis is difficult to graphitize into an ordered structure during carbonization and graphitization, which adversely affects the performance of C/C composites. To enhance the transformation of resin-derived carbon into an ordered structure, we employed a structurally ordered graphene-based material to modify a phenolic resin/carbon fiber precursor and designed two composite modification structures that are straightforward to implement in processing. The internal microstructure of the composites was characterized by XRD and SEM. The results indicate More >

  • Open Access

    ARTICLE

    Research on the Regulation of Polyimide Film Microstructure and Its O2 Plasma Etching Behavior in the Drying Process

    Peishuai Xing1, Xiaodong Guo2, Yang Wang1,*, Sixi Zha1, Zeting Chen3, Shicheng Shen1, Bin He2, Tianyun Li2, Yuning Zhao2

    Journal of Polymer Materials, Vol.43, No.2, 2026, DOI:10.32604/jpm.2026.077304 - 30 June 2026

    Abstract In the fabrication of microelectronic devices, polyimide (PI) is often patterned through plasma etching. However, the relationship between its etching behavior and the precursor processing technology has not been systematically revealed. In this paper, PMDA-ODA type PI was selected as the research object. For the first time, the effects of two film-forming processes, freeze drying (FD) and thermal drying (TD), on the microstructure of PI films and their O2 plasma etching behavior were systematically compared. By means of scanning electron microscopy (SEM), X-ray photoelectron spectroscopy (XPS), Fourier transform infrared spectroscopy (FTIR), and water contact angle testing,… More >

  • Open Access

    ARTICLE

    Machine Learning for Density Prediction and Process Development of Large Layer Thickness LPBF 304L Stainless Steel and Its Mechanical Impacts

    Zhen Yan1, Jiani Huang1, Yanlin Gu1, Qingqing Xu1, Yuyu Guo1, Kun Lin2, Juan Hou1,*

    CMC-Computers, Materials & Continua, Vol.88, No.2, 2026, DOI:10.32604/cmc.2026.079204 - 15 June 2026

    Abstract This study addresses the challenge of balancing “high deposition efficiency with large layer thickness” and “component mechanical integrity” in Laser Powder Bed Fusion (LPBF) additive manufacturing. Using 304L stainless steel as an example, a hybrid modeling strategy combining physical mechanism models and residual machine learning was proposed, achieving accurate prediction of densification at H = 60, 90, and 120 μm (test set R2 = 0.833, MAE = 0.104). Within the Doehlert matrix experimental design framework, the coupled effects of laser power, scanning speed, and scanning spacing on densification behavior, microstructure evolution, and mechanical response at different… More >

  • Open Access

    ARTICLE

    Bio-Derived Tannin-Modified Phenolic Carbon Cryogels with Optimized Microstructure for Supercapacitors Application

    Zhiying Lin1, Boju Deng1, Qianqian Zhang1, Jingming Chen2, Xinqiang Ye3, Yuling Lan1, Jiuping Rao1,*, Mizi Fan4, Weigang Zhao1,*

    Journal of Renewable Materials, Vol.14, No.5, 2026, DOI:10.32604/jrm.2025.02025-0096 - 28 May 2026

    Abstract Bio-derived carbon cryogels have garnered significant interest as promising electrode materials for supercapacitors due to their high specific surface area (SSA), hierarchical porosity, and eco-friendly synthesis methods. In this study, a tannin-modified phenolic hydrogel was synthesized using a sustainable tannin–phenol precursor system and subsequently subjected to three distinct drying methods-freeze-drying (FD), supercritical drying (SCD), and ambient pressure drying (APD)-to systematically evaluate their influence on structural integrity, porosity, and electrochemical behavior. Among these, the sample obtained via freeze-drying (TPUF-FD) maintained the most intact porous network, minimizing structural collapse during sublimation of ice under vacuum. This preservation… More > Graphic Abstract

    Bio-Derived Tannin-Modified Phenolic Carbon Cryogels with Optimized Microstructure for Supercapacitors Application

  • Open Access

    ARTICLE

    Effect of Intermediate Layer Processed by High-Pressure Torsion on Microstructure Evolution and Nano-Deformation Behavior of Tungsten-Copper Three-Layer Composites

    Xue Wang1,2, Cen Yang1, Yonghang Wang1, Mingming Wang1,3, Ying Chen4, Ping Li1,*

    CMC-Computers, Materials & Continua, Vol.87, No.3, 2026, DOI:10.32604/cmc.2026.077868 - 09 April 2026

    Abstract Tungsten-copper laminated composites are promising materials for high heat-flux applications, but their performance is often limited by interfacial instability caused by the thermal-mechanical mismatch between tungsten and copper. In this study, W/W-30Cu/CuCrZr three-layer composites are fabricated by high-pressure torsion (HPT) processing. Experimental characterization and molecular dynamics (MD) simulations are used to systematically investigate the influence of HPT process parameters and intermediate-layer composition on the evolution of microstructure and mechanical properties. HPT processing significantly refines the grains of the W-xCu composites and enhances their homogeneity. After applying 15 revolutions of HPT on W-30Cu composites, the crystallite… More >

  • Open Access

    ARTICLE

    Machine Learning-Enhanced Multiscale Computational Framework for Optimizing Thermoelectric Performance in Nanostructured Materials

    Udit Mamodiya1,*, Indra Kishor2, P. Satish Reddy3, K. Lakshmi Kalpana3, Radha Seelaboyina4, Harish Reddy Gantla5

    CMC-Computers, Materials & Continua, Vol.87, No.3, 2026, DOI:10.32604/cmc.2026.076464 - 09 April 2026

    Abstract The direct conversion of solid-state heat to electricity using thermoelectric materials has attracted attention; however, their effective application is limited because of the challenge of ensuring a balance between the microstructural features at the quantum, mesoscale, and continuum scales. Current computational and machine-learning methods have a small design space, wherein few to no interactions between the electronic structure, phonon transport, and device-level are considered. This makes it difficult to discover stable high-figure of merit (ZT) settings that are manufacturable and strong in the actual working environment. This study presents a multiscale hybrid optimization framework that… More >

  • Open Access

    ARTICLE

    Influence of Microstructure and Dynamic Properties on Standard Dipping Coating on Recycling Polyvinyl Alcohol Fiber/Silicon Nitride Fiber/Reduced Carbon Nano for Composite Materials

    T. Subash1,*, M. Sekar2, R. Selvabharathi3

    Journal of Polymer Materials, Vol.43, No.1, 2026, DOI:10.32604/jpm.2026.075026 - 03 April 2026

    Abstract The two distinct types of composite materials (5% to 10%) were developed using recycled polyvinyl alcohol fiber (RPA), silicon nitride fiber (SN), and reduced carbon nanoparticles (RCN). Enhanced microstructural properties and mechanical strength were attained through the application of the 3-glycidoxypropyltrimethoxysilane coupling method. The combination of the resin-like properties of RPA-SN fiber resulted in the formation of robust outer strength and a high bonding structure. RPA-RCN composite materials with a weight percentage of 10% exhibited a tensile strength of 42 MPa. In contrast, RPA-SN-RCN composite materials containing 5% to 10% demonstrated enhanced tensile, bending, and… More >

  • Open Access

    ARTICLE

    The Influence of Temperature Environment and Polymeric Binder Proportion on the Static/Dynamic Mechanical Properties of Polymer Materials

    Peng Gong1, Tingzheng Yan1, Kang Yang2, Yumei Yue2,*, Shude Ji2,*, Lin Ma3, Yilun Wu1

    Journal of Polymer Materials, Vol.43, No.1, 2026, DOI:10.32604/jpm.2025.074794 - 03 April 2026

    Abstract To comprehensively explore the impact of binder content on the mechanical properties of the Polymer bonded explosive (PBX) substitute material (Polymer-bonded Analogue Explosive (PAE)—it is renowned for its outstanding high-temperature resistance, exceptional mechanical properties, excellent chemical stability, and superior electrical insulation), a series of experiments are meticulously carried out. The dynamic and static mechanical properties, along with the microstructure of PAE, are precisely measured through the Split Hopkinson Pressure Bar (SHPB) test, static compression tests, and Scanning Electron Microscopy (SEM). The dynamic performance test outcomes clearly indicate that both the binder content (2%, 4%, 6%)… More >

  • Open Access

    ARTICLE

    Two-Scale Concurrent Topology Optimization Method Based on Boundary Connection Layer Microstructure

    Hongyu Xu1,*, Xiaofeng Liu1, Zhao Li1, Shuai Zhang2, Jintao Cui1, Zongshuai Zhou1, Longlong Chen1, Mengen Zhang1

    CMC-Computers, Materials & Continua, Vol.87, No.2, 2026, DOI:10.32604/cmc.2026.075413 - 12 March 2026

    Abstract In two-scale topology optimization, enhancing the connectivity between adjacent microstructures is crucial for achieving the collaborative optimization of micro-scale performance and macro-scale manufacturability. This paper proposes a two-scale concurrent topology optimization strategy aimed at improving the interface connection strength. This method employs a parametric approach to explicitly divide the micro-design domain into a “boundary connection region” and a “free design domain” at the initial stage of optimization. The boundary connection region is used to generate a connection layer that enhances the interface strength, while the free design domain is not constrained by this layer, thus… More >

  • Open Access

    ARTICLE

    Semi-Supervised Segmentation Framework for Quantitative Analysis of Material Microstructure Images

    Yingli Liu1,2, Weiyong Tang1,2, Xiao Yang1,2, Jiancheng Yin3,*, Haihe Zhou1,2

    CMC-Computers, Materials & Continua, Vol.87, No.1, 2026, DOI:10.32604/cmc.2026.074681 - 10 February 2026

    Abstract Quantitative analysis of aluminum-silicon (Al-Si) alloy microstructure is crucial for evaluating and controlling alloy performance. Conventional analysis methods rely on manual segmentation, which is inefficient and subjective, while fully supervised deep learning approaches require extensive and expensive pixel-level annotated data. Furthermore, existing semi-supervised methods still face challenges in handling the adhesion of adjacent primary silicon particles and effectively utilizing consistency in unlabeled data. To address these issues, this paper proposes a novel semi-supervised framework for Al-Si alloy microstructure image segmentation. First, we introduce a Rotational Uncertainty Correction Strategy (RUCS). This strategy employs multi-angle rotational perturbations… More >

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