Composites Part A: Applied Science and Manufacturing最新文献

PSO-GPR-based stochastic-aware recognition system of in-process surface roughness for micro-milling operation of ceramic composite 基于pso - gpr的陶瓷复合材料微铣削过程中表面粗糙度随机感知识别系统

IF 8.1 2区材料科学 Q1 ENGINEERING, MANUFACTURING

Composites Part A: Applied Science and Manufacturing

Pub Date : 2025-12-04 DOI: 10.1016/j.compositesa.2025.109484

Xuewei Zhang , Jiandong Ding , Hao Song , Xianzhen Huang , Tianbiao Yu

To address the high-performance sustainable manufacturing requirements of ceramic composite, surface roughness is regarded as an indispensable technical indicator for improving the machined product quality. Whereas, the complicated material removal mechanism of heterogeneous composite materials in the micro-milling operation would limit the in-process prediction performance of surface roughness. In order to improve prediction performance and overcome solving difficulties, this paper develops a PSO-GPR-based stochastic-aware recognition system of in-process surface roughness for micro-milling operation of ceramic composite. Considering the close association with surface generation of machined products, the instantaneous specific machining energy consumption model of ceramic composite in micro-milling operation is proposed as the foundation for recognizing in-process surface roughness values. More importantly, compared with the traditional cutting mechanism analysis, the real-time volumetric fraction of carbon fiber in ceramic composite is introduced into the heterogeneous material removal mechanism, in which the influence of stochastic fiber distribution has been considered. Accordingly, the in-process surface roughness recognition model derived from the stochastic fiber distribution of ceramic composite is established by integrating the particle swarm optimization (PSO) methodology and the Gaussian process regression (GPR) algorithm, which is independent of extensive experiment data and training data. Furthermore, the prediction performance of the proposed PSO-GPR-based stochastic-aware recognition methodology for in-process surface roughness values has been validated by conducting a series of micro-milling experiments with ceramic composite. The average predictive error is 2.79% and the maximum predictive error is 13.27%. Correspondingly, the values of MSE, MAE and MAPE are 0.00039, 0.0150 and 2.77%, respectively.

为了满足陶瓷复合材料高性能可持续制造的要求，表面粗糙度被视为提高加工产品质量不可或缺的技术指标。然而，非均相复合材料在微铣削加工过程中复杂的材料去除机制限制了表面粗糙度的过程预测性能。为了提高预测性能，克服求解困难，本文开发了一种基于pso - gpr的陶瓷复合材料微铣削加工过程中表面粗糙度随机感知识别系统。考虑到陶瓷复合材料与加工产品的表面生成密切相关，提出了微铣削加工过程中瞬时比加工能耗模型，作为识别加工过程中表面粗糙度值的基础。更重要的是，与传统的切削机理分析相比，将陶瓷复合材料中碳纤维的实时体积分数引入到非均相材料的去除机理中，考虑了纤维随机分布的影响。基于此，结合粒子群优化（PSO）方法和高斯过程回归（GPR）算法，建立了基于陶瓷复合材料纤维随机分布的过程中表面粗糙度识别模型，该模型不依赖于大量的实验数据和训练数据。此外，本文提出的基于pso - gpr的随机感知识别方法在陶瓷复合材料的微铣削实验中对过程中表面粗糙度值的预测性能进行了验证。平均预测误差为2.79%，最大预测误差为13.27%。相应的，MSE、MAE和MAPE分别为0.00039、0.0150和2.77%。

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引用次数: 0

Harnessing scaffold architecture to improve mycelium growth and performance in biodegradable composites 利用支架结构改善菌丝体生长和可生物降解复合材料的性能

IF 8.1 2区材料科学 Q1 ENGINEERING, MANUFACTURING

Composites Part A: Applied Science and Manufacturing

Pub Date : 2025-12-01 DOI: 10.1016/j.compositesa.2025.109474

Deepak Sharma , Hortense Le Ferrand

Mycelium-bound composites (MBCs) are bio-based materials manufactured by growing fungal mycelium within organic substrates, serving as biodegradable and functional alternatives to conventional polymers and foams. Limited oxygen availability within thick, loosely packed organic substrates affects uniform mycelium growth, as oxygen diffusion decreases with thickness, resulting in low performance of the MBCs. Designing a porous organic scaffold as a substrate could help grow homogeneously dense mycelium throughout the composite by enabling adequate air flow. In this study, the mycelium of Ganoderma lucidum was grown on 3D-printed triply periodic minimal surface scaffolds made of a wood-polylactic acid (wood-PLA) composite, which were dip-coated with a thin layer of peptone-malt-agar (PMA) solution. The growth of the mycelium and the resulting yield strength and thermal insulation improvements of the scaffolds were studied for three sheet- and strut-triply periodic minimal surface (TPMS) porous scaffolds. At equal nominal porosity, the mycelium was found to grow much better on sheet-TPMS than on strut-TPMS scaffolds. The best sheet scaffold achieved a yield strength of 4.89 MPa, representing a 48.18 % improvement over the control scaffold (scaffold without PMA coating). Similarly, the best sheet scaffold exhibits a 43.1 % improvement in thermal insulation compared to control scaffolds after 21 days of growth. The MBCs effectively maintained an average low surface temperature of 65 °C under extreme thermal conditions (285 °C) and exhibited strong infrared shielding capabilities, highlighting their potential for thermal insulation and stealth applications. The current work demonstrates how scaffold design can tailor the growth of mycelium and opens a new avenue for increasing the strength and thermal insulation of wood-PLA composites.

菌丝结合复合材料（MBCs）是通过在有机基质中生长真菌菌丝而制成的生物基材料，是传统聚合物和泡沫的可生物降解和功能性替代品。在厚而松散的有机基质中，氧气的可用性有限，影响了菌丝的均匀生长，因为氧气的扩散随着厚度的增加而减少，导致MBCs的性能低下。设计一种多孔有机支架作为基底，通过保证充足的空气流动，可以帮助在整个复合材料中生长均匀致密的菌丝体。在这项研究中，灵芝菌丝体生长在3d打印的三周期最小表面支架上，支架由木材-聚乳酸（wood-PLA）复合材料制成，并用一层薄薄的肽-麦芽-琼脂（PMA）溶液浸渍。研究了三种片状和三柱三周期最小表面多孔材料（TPMS）的菌丝生长、屈服强度和保温性能的改善。在相同孔隙率下，菌丝体在片状tpms上比在支架上生长得更好。最佳薄片支架的屈服强度达到4.89 MPa，比对照支架（不涂PMA涂层的支架）提高48.18%。同样，生长21天后，与对照支架相比，最佳薄片支架的隔热性能提高了43.1%。MBCs在极端热条件下（285°C）可有效保持65°C的平均低表面温度，并表现出强大的红外屏蔽能力，突出了其隔热和隐身应用的潜力。目前的工作证明了支架设计如何能够定制菌丝体的生长，并为增加木材- pla复合材料的强度和隔热开辟了新的途径。

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引用次数: 0

Gradient-Imidized polyimide interphase for cohesive-dominant failure and highly-reliable welding of CF/PPS composites 梯度亚酰化聚酰亚胺界面相用于CF/PPS复合材料的粘结性破坏和高可靠性焊接

IF 8.1 2区材料科学 Q1 ENGINEERING, MANUFACTURING

Composites Part A: Applied Science and Manufacturing

Pub Date : 2025-12-01 DOI: 10.1016/j.compositesa.2025.109475

Jiayu Su , Chengchang Ji , Ying Qian , Sen Zhang , Hao Wang , Yu Gao , Jianfeng Zhou , Shu Zhu

Copper mesh susceptors enable ultra-rapid, site-specific induction welding of carbon fiber reinforced polyphenylene sulfide (CF/PPS) composites via exceptional conductivity, yet their intrinsically weak adhesion with PPS matrix leads to premature joint failure — a fundamental barrier to industrial deployment. To resolve this interfacial incompatibility, we engineer a polymer-directed in situ interfacial compatibilization strategy by constructing a controlled polyimide-functionalized oxidized copper mesh (PI@oxidic-Cu). This architecture exploits dual nanofeatures: 1) copper oxide nano-anchors from controlled oxidation, and 2) polyamide acid moieties partially converted to PI with retained –NH/–COOH groups during tailored imidization. These in situ generated elements synergistically establish coordinate Cu–N and Cu–O bonds, π-π stacking with PPS phenyl rings, and enhanced wettability, eradicating interfacial voids and redistributing stress. The multi-scale adhesion achieves 41% higher lap shear strength (LSS) versus conventional copper mesh, with fractographic analysis confirming failure mode transition from adhesive detachment to cohesive PPS fracture coupled with copper rupture — direct evidence of interfacial reinforcement. This methodology, substantiated by the validated fracture mechanism, enables fabrication of ready-to-use PPS/pre-compatibilized copper mesh prepregs — delivering industrially viable, highly reliable welding solutions for advanced thermoplastic composites.

铜网电纳器通过优异的导电性，实现了碳纤维增强聚苯硫醚（CF/PPS）复合材料的超快速、特定部位感应焊接，但其与PPS基体的附着力较弱，导致接头过早失效，这是工业应用的根本障碍。为了解决这种界面不相容性，我们通过构建受控聚酰亚胺功能化氧化铜网（PI@oxidic-Cu）来设计聚合物定向的原位界面相容性策略。这种结构利用了双重纳米特征：1)氧化控制的氧化铜纳米锚；2)在定制亚胺化过程中，聚酰胺部分转化为PI，保留了-NH / -COOH基团。这些原位生成的元素协同建立Cu-N和Cu-O键，π-π与PPS苯环堆积，增强润湿性，消除界面空隙并重新分配应力。与传统铜网相比，这种多尺度黏附材料的粘接剪切强度（LSS）提高了41%，断口分析证实了这种材料的破坏模式从黏附脱离转变为黏附PPS断裂，并伴有铜断裂，这是界面增强的直接证据。该方法经断裂机理验证，能够制造即用型PPS/预相容铜网预浸料，为先进的热塑性复合材料提供工业上可行、高度可靠的焊接解决方案。

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引用次数: 0

Automated Tape Relaying to monitor and control first-ply deposition 自动磁带继电器监控和控制第一层沉积

IF 8.1 2区材料科学 Q1 ENGINEERING, MANUFACTURING

Composites Part A: Applied Science and Manufacturing

Pub Date : 2025-11-28 DOI: 10.1016/j.compositesa.2025.109469

Ege Arabul , Vincent K. Maes , Duc H. Nguyen , Robert Hughes , James Kratz

A real-time control algorithm, the “Automated Tape Relaying” (ATR) approach, was developed and validated for improving in-process quality control and material characterisation processes within Automated Fibre Placement (AFP). The algorithm operates by monitoring the deposited tape using onboard laser line scanners. If the tape height is out-of-tolerance, the machine reacts by reversing the AFP deposition process and redepositing the tape with modified process parameters. This approach can also be used for characterisation of AFP pre-preg to determine process settings for in-tolerance deposition. The results showed that single and multi parameter definition was possible. The ATR approach supports faster materials-process exploration using less material, and could be scaled-up to industrial AFP processes with further investment.

开发并验证了一种实时控制算法“自动磁带中继”（ATR）方法，用于改进自动纤维放置（AFP）中的过程质量控制和材料表征过程。该算法通过使用机载激光线扫描仪监测沉积磁带来运行。如果胶带高度超出公差，则机器通过反转AFP沉积过程并修改工艺参数重新沉积胶带来做出反应。这种方法也可用于AFP预浸料的表征，以确定不耐受沉积的工艺设置。结果表明，单参数和多参数定义都是可能的。ATR方法支持使用更少的材料进行更快的材料工艺探索，并且可以通过进一步投资扩展到工业AFP工艺。

引用次数: 0

Screw extrusion-assisted additive manufacturing of high-strength 12K continuous carbon fiber-reinforced nylon composites 螺杆挤出辅助增材制造高强12K连续碳纤维增强尼龙复合材料

IF 8.1 2区材料科学 Q1 ENGINEERING, MANUFACTURING

Composites Part A: Applied Science and Manufacturing

Pub Date : 2025-11-27 DOI: 10.1016/j.compositesa.2025.109472

Zhenyu Yang , Chenghuan Wu , Xingyu Wang , Zhonglue Hu , Wei Chen , Weiping Dong , Sisi Wang , Xiping Li

The light-weight, high-strength continuous carbon fiber-reinforced thermoplastic composites (CCFRPs) are the ideal candidates for the high-performance structural materials. However, this superior material’s full potential is yet untapped, as the current filament-based additive manufacturing scheme has a limited impregnation capability, confining usable materials to narrow 1K/3K CCF tows. To bridge such gap, this study developed a screw extrusion-assisted in-situ impregnation and 3D printing system, enabling efficient fabrication of highly strong thermoplastic composites reinforced with 12K CCF tows. Microstructural characterization and mechanical testing reveal that the as-impregnated CCF tows exhibit exceptional mechanical properties, with a maximum tensile strength of 1063.7 MPa, an elastic modulus of 62.4 GPa, and a low internal porosity of 3.2 %. Through systematic optimization of the PA6 matrix composition and printing parameters, an optimal short carbon fiber (SCF) loading of 10 wt% was identified, enabling the 3D-printed composites to achieve a remarkable tensile strength of up to 804.2 MPa. This exceptional performance is attributed to the unique screw extrusion process, which facilitates efficient in-situ fiber impregnation and deposition, offering a promising, low-cost, and flexible pathway for manufacturing large, high-strength composite structures.

轻质、高强连续碳纤维增强热塑性复合材料（CCFRPs）是高性能结构材料的理想选择。然而，这种优越材料的全部潜力尚未开发，因为目前基于长丝的增材制造方案具有有限的浸渍能力，将可用材料限制在狭窄的1K/3K CCF束。为了弥补这一差距，本研究开发了一种螺杆挤出辅助原位浸渍和3D打印系统，能够高效地制造出用12K CCF束增强的高强度热塑性复合材料。微观组织表征和力学测试表明，浸渍CCF具有优异的力学性能，最大抗拉强度为1063.7 MPa，弹性模量为62.4 GPa，内部孔隙率为3.2%。通过对PA6基体成分和打印参数的系统优化，确定了10 wt%的最佳短碳纤维（SCF）载荷，使3d打印复合材料的抗拉强度达到804.2 MPa。这种卓越的性能归功于独特的螺杆挤出工艺，它促进了高效的原位纤维浸渍和沉积，为制造大型高强度复合材料结构提供了一种有前途的、低成本的、灵活的途径。

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引用次数: 0

Interlaminar shear performances and failure mechanisms of 3D braided Janus hybrid composites 三维编织Janus混杂复合材料层间剪切性能及破坏机制

IF 8.1 2区材料科学 Q1 ENGINEERING, MANUFACTURING

Composites Part A: Applied Science and Manufacturing

Pub Date : 2025-11-27 DOI: 10.1016/j.compositesa.2025.109470

Qiujin Gu , Zhenzhen Quan , Jianyong Yu

Delamination remains a huge challenge to the interlaminar hybrid composites which are very desirable in a variety of fields. 3D braided Janus hybrid composites present numerous potentials in enhancing the resistance to delamination, owing to the integral fabrication of their hybrid preforms. However, the interlaminar shear performances and failure mechanisms of 3D braided Janus hybrid composites require further investigation for its future application. In the current study, 3D braided Janus hybrid composites with two braiding angles (20° and 40°) were fabricated based on the 3D hybrid braiding technique and their interlaminar shear performances were studied by the short-beam shear (SBS) tests. The failure mechanism was analyzed based on the crack distribution characterized via the X-ray computed tomography (CT). Results showed that the energy absorption of “20°” serials was higher than that of “40°” serials. Furthermore, the “Janus” feature of the hybrid structure endows the specimens with a new design freedom. The “C” samples have better resistance to interlaminar shear damages than their “K” counterparts. The results are helpful for the design and fabrication of 3D braided hybrid composites with excellent interlaminar shear performances, and provide guidance for its future possible applications.

层间杂化复合材料在许多领域都是非常理想的，但分层仍然是它面临的一个巨大挑战。三维编织Janus杂化复合材料在增强抗分层能力方面表现出许多潜力，这是由于其杂化预成形的整体制造。然而，三维编织Janus混杂复合材料的层间剪切性能和破坏机制有待进一步研究，以促进其未来的应用。基于三维复合编织技术，制备了编织角度为20°和40°的三维编织Janus复合材料，并通过短束剪切（SBS）试验研究了其层间剪切性能。基于x射线计算机断层扫描（CT）表征的裂纹分布，分析了其破坏机理。结果表明，“20°”序列的能量吸收高于“40°”序列。此外，混合动力结构的“双面神”特性赋予了试件新的设计自由度。“C”样品比“K”样品具有更好的层间剪切损伤抗力。研究结果有助于设计和制造具有优异层间剪切性能的三维编织混杂复合材料，并为其未来可能的应用提供指导。

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引用次数: 0

A novel crossing yarn configuration strategy for 3D printing of composite T-joints 复合材料t型接头3D打印的新型交叉纱线配置策略

IF 8.1 2区材料科学 Q1 ENGINEERING, MANUFACTURING

Composites Part A: Applied Science and Manufacturing

Pub Date : 2025-11-27 DOI: 10.1016/j.compositesa.2025.109471

Ping Cheng , Zhi Han , Xiaochong Wang , Yuan Chen , Lin Ye

The advent of 3D printing technology is fostering novel approaches for fabricating continuous fiber reinforced composite parts. This study proposes an innovative 3D printing strategy employing crossing path configurations to significantly enhance strength and stiffness of composite T-joints. Five different crossing and without crossing printing paths were designed for manufacturing composite T-joints. A quality analysis was conducted to assess the influence of path design on the delta-fillet region, a critical area in a T-joint. Quasi-static tensile tests were performed to characterize the mechanical behavior of 3D-printed T-joints in the web and skin directions. Results demonstrate that the crossing yarn configuration substantially improves both quality and mechanical performance of the composite T-joints. Specifically, compared to the T-joint without crossing path, T-joints printed with crossing paths exhibit a 96.2 % increase in ultimate load and a 22.5 % increase in stiffness in the web direction, outperforming the tensile properties of composite T-joints reported in most existing literature. In the skin direction, ultimate load and stiffness are enhanced by 92.9 % and 14.6 %, respectively. Moreover, failure of T-joints with crossing paths is primarily governed by fiber–matrix debonding and fiber fracture, with no evidence of significant delamination.

3D打印技术的出现促进了制造连续纤维增强复合材料部件的新方法。本研究提出了一种创新的3D打印策略，采用交叉路径配置，显著提高复合材料t型接头的强度和刚度。设计了五种不同的交叉和不交叉打印路径，用于制造复合t型接头。进行了质量分析，以评估路径设计对三角圆角区域的影响，三角圆角区域是t型接头的关键区域。进行了准静态拉伸试验，表征了3d打印t型接头在腹板和表皮方向上的力学行为。结果表明，交叉纱线的配置大大提高了复合t型接头的质量和力学性能。具体来说，与没有交叉路径的t型接头相比，打印了交叉路径的t型接头在腹板方向上的极限载荷增加了96.2%，刚度增加了22.5%，优于大多数现有文献报道的复合t型接头的拉伸性能。在蒙皮方向上，极限荷载和刚度分别提高了92.9%和14.6%。此外，具有交叉路径的t型接头的破坏主要由纤维-基质脱粘和纤维断裂控制，没有明显的分层迹象。

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引用次数: 0

Biomimetic design of multi-functional and anisotropic reduced graphene oxide composite aerogels for broadband electromagnetic wave absorption 多功能各向异性还原氧化石墨烯复合气凝胶宽带电磁波吸收的仿生设计

IF 8.1 2区材料科学 Q1 ENGINEERING, MANUFACTURING

Composites Part A: Applied Science and Manufacturing

Pub Date : 2025-11-27 DOI: 10.1016/j.compositesa.2025.109465

Xuejiao Liu, Qi Wang, Jian Cui, Yehai Yan

Three-dimensional (3D) aerogels, with the advantages of high porosity and light weight, have been proved to be an important high-performance electromagnetic wave (EMW) absorption material. Based on the biomimetic design concept inspired by wood cell wall and anemone structure in nature, anisotropic polyimide/reduced graphene oxide/ZIF-67-derived Co@CN@CNT (PI/rGO/Co@CN@CNT) composite aerogels with a hierarchical structure were successfully prepared by unidirectional freeze-drying followed by annealing treatment. Wherein, PI serves as the reinforcing phase to provide structural stability, while rGO and ZIF-67-derived anemone-like Co@CN@CNT form an efficient electrical-magnetic network of aerogel. The multi-component heterogeneous structure and electromagnetic synergy significantly enhance the EMW absorption. The experimental results show that the aerogel exhibits better EMW absorption performance in the radial direction, with the reflection loss (RL_min) reaching −60.52 dB and the effective absorption bandwidth (EAB) extending to 9.44 GHz. Verification through CST simulations demonstrates that the material significantly attenuates EMW under practical application conditions, with a maximum RCS value reduction of 31.66 dB m². Furthermore, the aerogel also exhibits good compressive elasticity and thermal insulation properties in the radial direction. The successful development of this novel composite aerogel not only provides new design ideas for high-performance EMW absorption materials, but also lays a solid foundation for its practical applications.

三维气凝胶具有孔隙率高、重量轻等优点，是一种重要的高性能电磁波吸收材料。基于受木材细胞壁和自然界海燕结构启发的仿生设计理念，通过单向冷冻干燥后退火处理，成功制备了具有分层结构的各向性聚酰亚胺/还原氧化石墨烯/ zif -67衍生Co@CN@CNT （PI/rGO/Co@CN@CNT）复合气凝胶。其中，PI作为增强相提供结构稳定性，而rGO和zif -67衍生的海葵样Co@CN@CNT形成了高效的气凝胶电磁网络。多组分异质结构和电磁协同作用显著增强了EMW的吸收。实验结果表明，气凝胶在径向上具有较好的EMW吸收性能，反射损耗（RLmin）达到- 60.52 dB，有效吸收带宽（EAB）达到9.44 GHz。CST仿真验证表明，在实际应用条件下，该材料对EMW的衰减效果显著，最大RCS值降低31.66 dB m2。此外，气凝胶在径向上也表现出良好的压缩弹性和保温性能。这种新型复合气凝胶的成功研制，不仅为高性能EMW吸收材料提供了新的设计思路，也为其实际应用奠定了坚实的基础。

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引用次数: 0

Hybrid machine learning based scale bridging framework for permeability prediction of fibrous structures 基于混合机器学习的纤维结构渗透率预测尺度桥接框架

IF 8.1 2区材料科学 Q1 ENGINEERING, MANUFACTURING

Composites Part A: Applied Science and Manufacturing

Pub Date : 2025-11-26 DOI: 10.1016/j.compositesa.2025.109458

Denis Korolev , Tim Schmidt , Dinesh K. Natarajan , Stefano Cassola , David May , Miro Duhovic , Michael Hintermüller

This study introduces a hybrid machine learning-based scale-bridging framework for predicting the permeability of fibrous textile structures. By addressing the computational challenges inherent to multiscale modeling, the proposed approach evaluates the efficiency and accuracy of different scale-bridging methodologies combining traditional surrogate models and even integrating physics-informed neural networks (PINNs) with numerical solvers, enabling accurate permeability predictions across micro- and mesoscales. Four methodologies were evaluated: fully resolved models (FRM), numerical upscaling method (NUM), scale-bridging method using data-driven machine learning methods (SBM) and a hybrid dual-scale solver incorporating PINNs. The FRM provides the highest fidelity model by fully resolving the micro- and mesoscale structural geometries, but requires high computational effort. NUM is a fully numerical dual-scale approach that considers uniform microscale permeability but neglects the microscale structural variability. The SBM accounts for the variability through a segment-wise assigned microscale permeability, which is determined using the data-driven ML method. This method shows no significant improvements over NUM with roughly the same computational efficiency and modeling runtimes of 45 min per simulation. The newly developed hybrid dual-scale solver incorporating PINNs shows the potential to overcome the problem of data scarcity of the data-driven surrogate approaches, as well as incorporating data from both scales via the hybrid loss function. The hybrid framework advances permeability modeling by balancing computational cost and prediction reliability, laying the foundation for further applications in fibrous composite manufacturing, while its full potential awaits realization as physics-informed machine learning approaches continue to mature.

本研究介绍了一种基于混合机器学习的尺度桥接框架，用于预测纤维织物结构的渗透性。通过解决多尺度建模固有的计算挑战，该方法评估了不同尺度桥接方法的效率和准确性，这些方法结合了传统的替代模型，甚至将物理信息神经网络（pinn）与数值求解器相结合，实现了跨微尺度和中尺度的准确渗透率预测。评估了四种方法：完全解析模型（FRM）、数值上尺度方法（NUM）、使用数据驱动机器学习方法（SBM）的尺度桥接方法和包含pinn的混合双尺度求解器。FRM通过全面解析微观和中尺度结构几何形状，提供了最高保真度的模型，但需要很高的计算量。NUM是一种完全的数值双尺度方法，它考虑了均匀的微尺度渗透率，但忽略了微尺度的结构变异性。SBM通过分段分配的微尺度渗透率来解释可变性，这是使用数据驱动的ML方法确定的。与NUM相比，该方法没有明显的改进，计算效率大致相同，每次模拟的建模运行时间为45分钟。新开发的包含pinn的混合双尺度求解器显示出克服数据驱动替代方法的数据稀缺性问题的潜力，以及通过混合损失函数合并来自两个尺度的数据。混合框架通过平衡计算成本和预测可靠性来推进渗透率建模，为纤维复合材料制造的进一步应用奠定了基础，同时随着物理信息机器学习方法的不断成熟，其全部潜力有待实现。

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引用次数: 0

Multiscale toughening-driven lattice-structured titanium matrix composites: Breakthrough in strength-toughness synergy 多尺度增韧驱动的晶格结构钛基复合材料：强度-韧性协同的突破

IF 8.1 2区材料科学 Q1 ENGINEERING, MANUFACTURING

Composites Part A: Applied Science and Manufacturing

Pub Date : 2025-11-25 DOI: 10.1016/j.compositesa.2025.109463

Jinguang Li , Mi Zhou , Jieren Yang , Yisheng Mou , Jian Wang , Shidong Zhu , Hui Zhao , Han Zhao

Titanium matrix composite (TMC) drill rods possess significant potential for application in ultra-deep wells at depths of tens of kilometers. However, the traditional composite design is difficult to break through the inherent “strength-plasticity/toughness” inversion contradiction of titanium alloy. This study proposes a novel multi-scale design strategy for Weair-Phelan lattice structure toughened titanium matrix composite (WP-TMC), successfully achieving tensile strength > 1200 MPa, elongation > 10 %, and fracture toughness K_ⅠC > 75 MPa m^−1/2, which has a superior strength-ductility-toughness matching far surpassing that of other TMCs. Fine equiaxed α grains and dispersed in situ TiB particles in WP lattice structure was obtained by selective laser melting (SLM) process, meanwhile the Widmanstätten structure in matrix was controlled by hot-pressing process, where the interfacial reaction was inhibited and the strong metallurgical interface was successfully obtained. The multi-scale interfaces are the key to induce dislocation strengthening and Hall-Petch strengthening as well as interface toughening by interacting with cracks. The cross-scale coupling of “dislocation-interface” and “interface-crack” make WP-TMCs overcome the limitations imposed by the classical mechanical property mixing rules governing traditional titanium alloys and their composites. This work can provide both theoretical support and practical guidance for the design of a new generation of TMCs.

钛基复合材料（TMC）钻杆在深达数十公里的超深井中具有巨大的应用潜力。然而，传统的复合材料设计难以突破钛合金固有的“强度-塑性/韧性”反转矛盾。本研究提出了一种新的weal - phelan晶格结构增韧钛基复合材料（WP-TMC）的多尺度设计策略，成功实现了抗拉强度>； 1200 MPa，伸长率>； 10%，断裂韧性KⅠC >； 75 MPa m−1/2，具有远超其他tmc的强-塑性-韧性匹配性。采用选择性激光熔化（SLM）工艺获得了细小的等轴α晶粒和分散在原位的TiB颗粒，形成了WP晶格结构，同时采用热压工艺控制基体中的Widmanstätten结构，抑制了界面反应，成功地获得了强冶金界面。多尺度界面是诱发位错强化、Hall-Petch强化和界面与裂纹相互作用增韧的关键。“位错-界面”和“界面-裂纹”的跨尺度耦合使wp - tmc克服了传统钛合金及其复合材料经典力学性能混合规则的局限性。这一工作为新一代tmc的设计提供了理论支持和实践指导。

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引用次数: 0