Materials & Design最新文献_第3页

Design–performance relationships in Ti-6Al-4V lattice metamaterials: in-vivo osseointegration and ex-vivo biomechanical pull-out assessment Ti-6Al-4V晶格超材料的设计-性能关系：体内骨整合和离体生物力学拔出评估

IF 7.9 2区材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY

Materials & Design

Pub Date : 2025-12-13 DOI: 10.1016/j.matdes.2025.115327

Miguel Araya , Rafael Vindas , Jos Malda , Antti Järvenpää , Eva Stronkman , Harold Brommer , Mylène de Ruijter , Roberto Estrada , Teodolito Guillén

This study investigated the influence of lattice topology, relative density, and surface condition on the osseointegration and biomechanical fixation of porous Ti-6Al-4 V implants in a large-animal model. Eight horses received cylindrical gyroid or stochastic scaffolds (0.2 and 0.3 relative density; as-built and chemically etched) bilaterally in the tuber coxae for six months. Postmortem analyses included radiography, SEM, histology, and axial pull-out testing. Gyroid lattices at a relative density of 0.2 achieved the most favorable balance of fixation strength (∼2.0 kN), displacement (∼5 mm), deformation energy (>9 J), and bone ingrowth, indicating progressive rather than abrupt failure at the interface. Increasing relative density to 0.3 enhanced stiffness but reduced bone infiltration and fixation, reflecting a porosity–strength trade-off. Stochastic lattices reached similar mean fixation strength but showed higher variability due to heterogeneous bone contact. Chemical etching enhanced displacement and energy absorption in gyroid 0.2 lattices but was unable to compensate for poor infiltration in high-density stochastic scaffolds. Overall, lattice topology and relative density governed fixation outcomes more strongly than surface state, underscoring the translational potential of TPMS-based titanium lattices for future load-bearing orthopedic applications.

本研究在大型动物模型上研究了晶格拓扑结构、相对密度和表面条件对多孔ti - 6al - 4v种植体骨整合和生物力学固定的影响。8匹马接受了圆柱形旋转支架或随机支架（相对密度为0.2和0.3；已建成和化学蚀刻），在双侧的块状髋部接受了6个月。尸检分析包括x线摄影、扫描电镜、组织学和轴向拔出试验。相对密度为0.2的旋转晶格在固定强度（~ 2.0 kN）、位移（~ 5 mm）、变形能（>9 J）和骨长入方面达到了最有利的平衡，表明界面的破坏是渐进的，而不是突然的。将相对密度增加到0.3会增强刚度，但会减少骨浸润和固定，这反映了孔隙率-强度的权衡。随机格子达到了相似的平均固定强度，但由于骨接触不均匀而表现出更高的变异性。化学蚀刻增强了陀螺0.2晶格的位移和能量吸收，但无法弥补高密度随机支架的渗透性差。总的来说，晶格拓扑结构和相对密度比表面状态对固定效果的影响更大，这强调了基于tpms的钛晶格在未来承重骨科应用中的转化潜力。

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引用次数: 0

Defect healing enabled superb cold rollability of Mg alloys by electropulsing 缺陷的修复使镁合金具有极好的电脉冲冷滚性能

IF 7.9 2区材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY

Materials & Design

Pub Date : 2025-12-13 DOI: 10.1016/j.matdes.2025.115332

Xin Chen , Biwei Deng , Hua Wei , Fei Wang , Xiaohui Li , Xiaolong Huang , Yu Lei , Xiufeng Xiao , Xiaopei Li

Magnesium (Mg) alloys face severe edge cracking during cold rolling due to limited slip systems and deformation anisotropy. Conventional hot rolling and heat treatment compromise efficiency and surface quality when fabricating Mg alloy thin strip. Here, we pioneered an electropulsing treatment (EPT) strategy to simultaneously heal internal defects and restore rollability in multi-pass cold rolling of Mg-1Zn-1Gd alloy. Through microstructure/defect characterizations and multi-physics simulations, we revealed that the local thermal compressive stress, induced by inhomogeneous Joule heating near defects, dominated defect healing within seconds; while a concomitant slower healing process was driven by the global compressive stress and accelerated atomic diffusion, which could result in excessive grain growth with prolonged EPT. Optimized EPT parameters achieved a balance between internal defect and microstructure, i.e. one-order reduction in defect volume fraction and a partial recrystallization state with relieved residual stress, and endowed the annealed sample with significantly enhanced ductility and superb cold rollability. Overall, this study established a scalable and efficient route for Mg alloy thin strip fabrication.

镁合金在冷轧过程中由于有限滑移系统和变形的各向异性而面临严重的边缘开裂。在镁合金薄带材生产中，传统的热轧和热处理工艺会降低生产效率和表面质量。在此，我们开创了一种电脉冲处理（EPT）策略，可以同时修复Mg-1Zn-1Gd合金多道次冷轧中的内部缺陷和恢复轧制性。通过微观结构/缺陷表征和多物理场模拟，我们发现缺陷附近非均匀焦耳加热引起的局部热压缩应力主导了缺陷在几秒内的修复；同时，整体压应力和原子扩散加速会导致愈合过程变慢，从而导致晶粒过度生长。优化后的EPT参数实现了内部缺陷与微观组织之间的平衡，即缺陷体积分数降低一阶，残余应力减小，达到部分再结晶状态，使退火后的试样具有显著增强的延展性和优异的冷轧性能。总的来说，本研究为镁合金薄板的制备建立了一条可扩展和高效的路线。

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引用次数: 0

Liquid metal replacement as a means to form bicontinuous Invar-Ag microcomposites 液态金属置换作为形成双连续Invar-Ag微复合材料的手段

IF 7.9 2区材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY

Materials & Design

Pub Date : 2025-12-13 DOI: 10.1016/j.matdes.2025.115322

Haobo Wang, Jerrold A. Floro

Invar-Ag composites could combine the low thermal expansion of Invar with the high thermal conductivity of Ag, especially if a bicontinuous microstructure, characteristic of dendritic solidification, can be achieved. However, liquid-phase immiscibility in the Invar-Ag system prevents direct formation of such structures via conventional solidification. This study introduces a liquid-phase replacement approach that selectively replaces the interdendritic Cu-rich network in Invar-Cu precursors with Ag. Ag was successfully infiltrated into millimeter-thick bulk specimens formed by arc melting, substantially improving thermal transport relative to Invar-Cu. Infiltration into additively-manufactured Invar-Cu proved more challenging due to capillary instabilities fostered by the much finer-scale cellular microstructure. This work discusses the infiltration mechanisms, resultant microstructure formation, effect of interfacial segregation on wetting, and thermal performance of Invar-Ag composites.

Invar-Ag复合材料可以将Invar的低热膨胀率和Ag的高导热性结合起来，特别是如果可以实现枝晶凝固的双连续组织。然而，Invar-Ag体系的液相不混溶性阻碍了通过常规凝固直接形成这种结构。本研究介绍了一种液相替代方法，该方法选择性地将Invar-Cu前驱体中的枝晶间富cu网络替换为Ag。Ag成功地渗透到通过电弧熔化形成的毫米厚的大块试样中，相对于Invar-Cu，大大改善了热传递。由于细得多的细胞微观结构促进了毛细管的不稳定性，因此将其渗透到增材制造的Invar-Cu中更具挑战性。本文讨论了Invar-Ag复合材料的渗透机理、微观结构的形成、界面偏析对润湿的影响以及热性能。

引用次数: 0

Irradiation damage induced breakaway oxidation of chromia-forming ferritic-martensitic steel at high-temperature CO2 辐照损伤诱导铁素体-马氏体钢在高温CO2中析出氧化

IF 7.9 2区材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY

Materials & Design

Pub Date : 2025-12-12 DOI: 10.1016/j.matdes.2025.115330

Chao Liu , Le Qi , Tielong Shen , Zhiguang Wang

This work studied the high-temperature CO₂ corrosion behavior of a novel chromia-forming ferritic-martensitic steel under the influence of irradiation damage. The role of irradiation damage in the corrosion behavior of 3 MeV Fe¹¹⁺ irradiated SIMP steel at 600 ℃ CO₂ was investigated by comparing the morphology, thickness, composition and microstructure of the oxide films formed on SIMP steel with different damage levels. With the increase of irradiation dose, the thickness of the oxide films increased significantly, and the transition from Cr-rich to Fe-rich oxide growth occurred accompanied by the appearance of Fe-rich nodules and internal oxidation when the irradiation damage increased to more than 1.75 dpa, indicating the trigger of breakaway oxidation. The mechanism of irradiation-induced breakaway oxidation was discussed from the perspective of the displacement damage and implanted Fe ions brought about by Fe-ion irradiation and the evolution of oxide films with irradiation damage.

研究了一种新型铁素体马氏体钢在辐照损伤下的高温CO2腐蚀行为。通过比较不同损伤程度的SIMP钢表面氧化膜的形貌、厚度、组成和显微组织，研究了辐照损伤对3mev Fe11+辐照SIMP钢600℃CO2腐蚀行为的影响。随着辐照剂量的增加，氧化膜厚度显著增加，当辐照损伤增加到1.75 dpa以上时，氧化膜由富cr向富fe过渡，并出现富fe结节和内部氧化，提示分离氧化的触发。从铁离子辐照引起的位移损伤和注入铁离子以及辐照损伤后氧化膜的演变等方面探讨了辐照诱导分离氧化的机理。

引用次数: 0

Large-size flexible X-ray imaging and information encryption storage based on radio-photoluminescence 基于射电光致发光的大尺寸柔性x射线成像与信息加密存储

IF 7.9 2区材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY

Materials & Design

Pub Date : 2025-12-12 DOI: 10.1016/j.matdes.2025.115334

Meng Gu , Naixin Li , Yingming Wei , Jing Feng , Xue Yang , Qu Feng , Yanshuo Han , Deyu Zhao , Zhan Xu , He Feng , Xinxin Yang , Jingtai Zhao , Kuan Ren , Qianli Li

In recent years, Ag-doped phosphate glass (APG), the most notable radio-photoluminescence (RPL) material, has attracted considerable interest in the field of radiation detection and imaging because of its excellent sensitivity and high spatial resolution. However, difficulties in the quenching process and curved-surface imaging have limited the long-term development of large-size, ultrathin APG plates. In this study, a breakthrough in flexible radiation-responsive materials was presented through the design and fabrication of large-size (＞25 × 20 cm) flexible APGER films via a dual-component polymer encapsulation strategy (Ecoflex/RTV) for the first time, effectively overcoming the intrinsic brittleness and hydrolytic instability of APG. The APGER film exhibited exceptional mechanical and environmental stability, including tensile strain tolerance (>250 %); long-term durability under ambient conditions (>60 d in air) and aqueous environments (>20 d in water); superior hydrophobicity (water contact angle >110°). Compared to FD-7 commercial dosimeter, the luminescence intensity of APGER films has increased by 10 %. Notably, the APGER films demonstrate repeatable information encryption/decryption capability under UV exposure, enabled by radiation-induced charge trapping/release mechanisms. The APGER films achieve a high-quality curved-surface X-ray imaging with a spatial resolution of 25 lp/mm, surpassing the performance of most flexible scintillators. Furthermore, the combination of radiation sensitivity, mechanical flexibility, and environmental resistance reveals APGER films have a potential for aquatic radiation monitoring and wearable anti-counterfeiting devices.

近年来，掺银磷酸盐玻璃（ag - phosphate glass， APG）作为最引人注目的辐射光致发光材料，因其优异的灵敏度和高空间分辨率在辐射探测和成像领域引起了广泛的关注。然而，淬火工艺和曲面成像的困难限制了大尺寸、超薄APG板的长期发展。本研究首次通过双组份聚合物封装策略（Ecoflex/RTV）设计和制备了大尺寸（>25 × 20 cm）柔性APGER薄膜，有效克服了APG固有的脆性和水解不稳定性，在柔性辐射响应材料方面取得了突破。APGER薄膜表现出优异的机械和环境稳定性，包括拉伸应变容限（> 250%）；环境条件下（空气中60天）和水环境下（水中20天）的长期耐久性；优异的疏水性（水接触角>；110°）。与FD-7商用剂量计相比，APGER薄膜的发光强度提高了10%。值得注意的是，APGER薄膜在紫外线照射下具有可重复的信息加密/解密能力，这是由辐射诱导的电荷捕获/释放机制实现的。APGER薄膜实现了高质量的曲面x射线成像，空间分辨率为25 lp/mm，超过了大多数柔性闪烁体的性能。此外，辐射灵敏度、机械灵活性和环境抗性的结合表明，APGER薄膜具有水生辐射监测和可穿戴防伪设备的潜力。

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引用次数: 0

Data-driven prediction and optimization of surface roughness in vibration-assisted ball burnishing of 42CrMo steel 42CrMo钢振动辅助球磨表面粗糙度的数据驱动预测与优化

IF 7.9 2区材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY

Materials & Design

Pub Date : 2025-12-11 DOI: 10.1016/j.matdes.2025.115320

Haojie Wang , Eric Velázquez-Corral , Xiaoqiang Wang , Ramón Jerez-Mesa

Vibration-assisted ball burnishing (VABB) has demonstrated significant potential in improving the surface quality of high-strength steels by reducing roughness and enhancing functional performance. However, the evolution of surface roughness under multiple interacting parameters remains complex, and reliable prediction with limited experimental data is still challenging. This work establishes a small-sample machine learning framework integrating VABB experiments with predictive optimization to quantitatively reveal the coupling between process parameters and 3D surface morphology of 42CrMo steel. Three approaches, response surface methodology (RSM), Bayesian-optimized support vector machine (BO-SVM), and random forest-enhanced backpropagation neural network (RF-BPNN), were compared in terms of accuracy and generalization. The RF-BPNN model achieved the best performance, with determination coefficients (R²) of 0.9573, 0.7764, and 0.8293 for Sa, Sq, and Spk, respectively, and corresponding RMSE values of 0.0422, 0.1190, and 0.2325. These results indicate that RF-BPNN provides a robust data-driven tool for predicting and optimizing surface roughness in VABB. The proposed framework not only contributes to the understanding of roughness formation mechanisms but also offers practical guidance for process design and performance control of high-strength steel components.

振动辅助球抛光（VABB）通过降低粗糙度和提高功能性能，在提高高强度钢的表面质量方面显示出巨大的潜力。然而，表面粗糙度在多参数作用下的演变仍然很复杂，在有限的实验数据下进行可靠的预测仍然是一个挑战。本文建立了一个将VABB实验与预测优化相结合的小样本机器学习框架，以定量揭示42CrMo钢的工艺参数与3D表面形貌之间的耦合关系。对比了响应面法（RSM）、贝叶斯优化支持向量机（BO-SVM）和随机森林增强反向传播神经网络（RF-BPNN）三种方法的准确率和泛化程度。RF-BPNN模型表现最佳，Sa、Sq和Spk的决定系数（R2）分别为0.9573、0.7764和0.8293，对应的RMSE值分别为0.0422、0.1190和0.2325。这些结果表明，RF-BPNN为VABB的表面粗糙度预测和优化提供了一个强大的数据驱动工具。提出的框架不仅有助于理解粗糙度的形成机理，而且为高强钢构件的工艺设计和性能控制提供了实用的指导。

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引用次数: 0

Stimuli-responsive hydrogels in targeted cancer therapy: A systematic review of materials, mechanisms, and delivery strategies 靶向癌症治疗中的刺激反应性水凝胶：材料、机制和递送策略的系统综述

IF 7.9 2区材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY

Materials & Design

Pub Date : 2025-12-11 DOI: 10.1016/j.matdes.2025.115318

A. Sanem Yilmaz , Alfonso Pepe , Neda Latifi , Gregory W. Sawyer , Michael R. Dunne

Hydrogels are versatile platforms for targeted and controlled anticancer agent delivery, offering unique advantages like tunable degradation and responsiveness to tumor microenvironmental cues. This review presents a comprehensive design framework and classification for stimuli-responsive hydrogels based on five core criteria: material composition, polymerization technique, crosslinking chemistry, degradation mechanism, and therapeutic delivery profile. Natural polymers (e.g., chitosan, alginate, hyaluronic acid) are evaluated alongside synthetic matrices (e.g., polyethylene glycol, polyacrylamide, methacrylates), emphasizing their structure–function relationships and synthesis methods. Special attention is given to crosslinking strategies that incorporate tumor microenvironment-cleavable bonds and dynamic linkages. These designs precisely tune network architecture, mechanical stability, and degradation kinetics to match tumor-associated acidic, enzymatic, or redox conditions, achieving spatially and temporally controlled drug release. The review examines degradation mechanisms triggered by pH, redox, enzymes, heat, and external stimuli (light or ultrasound). We also discuss hybrid systems that integrate nanoparticles or genetic cargos (e.g., DNA, siRNA, antibodies) to enhance precision and multifunctionality. Quantitative analysis of literature trends is provided through visual maps. By linking molecular crosslinking design to therapeutic performance, this work offers a key reference for rationally developing next-generation smart hydrogels for translational cancer therapy.

水凝胶是靶向和控制抗癌药物递送的通用平台，具有独特的优势，如可调节的降解和对肿瘤微环境线索的响应。本文综述了基于五个核心标准的刺激反应水凝胶的综合设计框架和分类：材料组成、聚合技术、交联化学、降解机制和治疗传递特性。天然聚合物（如壳聚糖、海藻酸盐、透明质酸）与合成基质（如聚乙二醇、聚丙烯酰胺、甲基丙烯酸酯）一起进行了评估，强调了它们的结构-功能关系和合成方法。特别关注的交联策略包括肿瘤微环境可切割键和动态键。这些设计精确地调整网络结构、机械稳定性和降解动力学，以匹配肿瘤相关的酸性、酶或氧化还原条件，实现空间和时间控制的药物释放。这篇综述探讨了pH值、氧化还原、酶、热和外部刺激（光或超声）引发的降解机制。我们还讨论了整合纳米颗粒或遗传货物（例如，DNA, siRNA，抗体）的混合系统，以提高精度和多功能性。通过可视化地图提供了文学趋势的定量分析。通过将分子交联设计与治疗性能联系起来，为合理开发用于转译性癌症治疗的下一代智能水凝胶提供了关键参考。

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引用次数: 0

Strengthening of double network hydrogels by high-molecular-weight polyphosphazene-based bottlebrush polymers 高分子量聚磷腈基瓶刷聚合物对双网水凝胶的强化作用

IF 7.9 2区材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY

Materials & Design

Pub Date : 2025-12-11 DOI: 10.1016/j.matdes.2025.115326

Yi-Shen Huang , Shibiru Yadeta Ejeta , Michael Kneidinger , Nhat Hong Nguyen , Guan-Po Chen , Kun-Yi Andrew Lin , Ian Teasdale , Chih-Feng Huang

Typical hydrogels generally display poor mechanical properties due to their high water content, limiting their practical applications. To address this, we designed a double-network hydrogel (DNH) with superior strength while retaining high water content. The first network was constructed using 2-acrylamido-2-methylpropane sulfonic acid (AMPS) and single styryl-terminated polyphosphazene with jeffamine sidechains (St-PPz^jeff) monomers, along with N,N′-methylene bisacrylamide (NMBA) crosslinker and 2-oxoglutaric acid (OGA) photo-initiator, producing PPz^jeff@SN hydrogels. These SN samples underwent further internal polymerization to build the second network from acrylamide (AAm), OGA, and NMBA. To reinforce the system, high-molecular-weight PPz-based bottlebrush polymers (BBPs, M_n ≈ 200 and 400 kDa) with varied side chains were incorporated into the first network of the DN hydrogels. This unique brush-like architecture, containing PPz grafted with hydrophilic jeffamine chains (ethylene oxide (EO) and propylene oxide (PO) units), synergistically stabilized the matrix via a hydrophilic/hydropobic balance. Characterization confirmed a dense, uniform network and chemical integration to the network through the styryl end of PPz^jeff BBPs. Mechanical testing revealed significant enhancements, including tensile strength up to ∼ 4 MPa, toughness ∼ 540 kJ/m³, and markedly higher compression resistance. These improvements arise from BBP architecture and network embedding. This strategy demonstrates that HMW PPz BBPs enable the fabrication of mechanically robust and tough hydrogels.

典型的水凝胶由于其高含水量，通常表现出较差的机械性能，限制了其实际应用。为了解决这个问题，我们设计了一种双网水凝胶（DNH），具有超强的强度，同时保持高含水量。第一个网络是用2-丙烯酰胺-2-甲基丙烷磺酸（AMPS）和单端苯基聚磷腈（St-PPzjeff）单体，N,N ' -亚甲基双丙烯酰胺（NMBA）交联剂和2-氧戊二酸（OGA）光引发剂构建的PPzjeff@SN水凝胶。这些SN样品进一步进行内部聚合，以丙烯酰胺（AAm）， OGA和NMBA构建第二个网络。为了强化该体系，将具有不同侧链的高分子量ppz基瓶刷聚合物（BBPs， Mn≈200和400 kDa）加入到DN水凝胶的第一个网络中。这种独特的刷子状结构，包含接枝亲水杰法明链（环氧乙烷（EO）和环氧丙烷（PO）单元）的PPz，通过亲疏水平衡协同稳定了基质。表征证实了一个致密、均匀的网络，并且通过PPzjeff BBPs的苯乙烯端与网络进行了化学整合。力学测试显示出显著的增强，包括抗拉强度高达~ 4 MPa，韧性~ 540 kJ/m3，以及明显更高的抗压缩性。这些改进来自BBP架构和网络嵌入。该策略表明，HMW PPz BBPs能够制造出机械坚固且坚韧的水凝胶。

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引用次数: 0

From structure to function: predicting mass transfer in cellulose-based multilayer packaging materials 从结构到功能：预测纤维素基多层包装材料的传质

IF 7.9 2区材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY

Materials & Design

Pub Date : 2025-12-11 DOI: 10.1016/j.matdes.2025.115328

Allison Vercasson, Hélène Angellier-Coussy, Nathalie Gontard, Valérie Guillard, Sébastien Gaucel

Predicting barrier properties of multilayer materials is essential for designing effective food packaging. Although resistance-based models are commonly used, their applicability to complex structures, such as polymer-coated paper/cardboard, remains underexplored. This study investigates the predictive ability of these models for multilayer systems composed of cellulosic substrates laminated with poly(3-hydroxybutyrate-co-3-hydroxyvalerate) (PHBV). Four model materials were designed to cover a wide span of barrier properties. PHBV lamination significantly improved barrier properties (up to a factor of 10⁵), primarily through the formation of an impregnated layer rather than a continuous film. Spatial heterogeneities within the samples were integrated into the modeling approaches. Different structural assumptions were considered. None of the models accurately predicted the barrier properties of all PHBV-laminated samples, highlighting the influence of additional factors such as interfacial adhesion, polymer crystallinity, and local defects. This work proposes, for the first time, an experimental estimation of the impregnated layer’s permeability (from 10⁻¹⁵ to 10⁻¹³ mol.m.m⁻².s⁻¹.Pa⁻¹ for oxygen permeability to 10⁻¹⁵-10⁻¹² mol.m.m⁻².s⁻¹.Pa⁻¹ for water vapor permeability). These findings indicate that a free polymer layer is not strictly required to achieve substantial barrier enhancement and underscore the central role of the impregnated layer in mass transfer, reinforcing the need to refine existing predictive models.

预测多层材料的阻隔性能对设计有效的食品包装至关重要。虽然通常使用基于电阻的模型，但它们对复杂结构（如聚合物涂层纸/纸板）的适用性仍未得到充分探索。本研究探讨了这些模型对由聚（3-羟基丁酸酯-co-3-羟基戊酸酯）（PHBV）层合的纤维素基质组成的多层体系的预测能力。设计了四种模型材料来覆盖广泛的屏障性能。PHBV层压显著提高了阻隔性能（高达105倍），主要是通过形成浸渍层而不是连续膜。样本的空间异质性被整合到建模方法中。考虑了不同的结构假设。没有一个模型能准确预测所有phbv层压样品的势垒特性，突出了界面粘附、聚合物结晶度和局部缺陷等附加因素的影响。这项工作首次提出了浸渍层渗透率（从10−15到10−13 mol. mm−2.s−1）的实验估计。Pa−1为10−15-10−12 mol.m.m−2.s−1。水汽渗透率为Pa−1)。这些发现表明，自由聚合物层并不是实现实质性屏障增强的严格要求，并强调了浸渍层在传质中的核心作用，加强了改进现有预测模型的必要性。

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引用次数: 0

Data-driven framework for printability and geometric quality prediction in 3D concrete printing 3D混凝土打印中可打印性和几何质量预测的数据驱动框架

IF 7.9 2区材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY

Materials & Design

Pub Date : 2025-12-11 DOI: 10.1016/j.matdes.2025.115309

Ahmad Hammoud , Yosef Mohomad , Hasan Shomar , Eyad Masad , Raymundo Arroyave , Reza Tafreshi

Three-dimensional concrete 3D printing (3DCP) faces persistent challenges in achieving consistent geometric quality and reproducible printability across varying process conditions, limiting its large-scale industrial adoption. This study presents a data-driven framework that integrates experimental characterization with machine learning-based prediction to evaluate and optimize geometric quality in 3DCP. Functional geometries (cubes, overhangs, and bridges) were fabricated using a robotic printing system at controlled nozzle speeds (75–150 mm/s) and flow rates (478–593 cm³/s), resulting in 46 cubes, 21 overhangs, and 66 bridges. High-resolution imaging enabled quantitative extraction of geometric indicators, including layer height variation, angle deviation, and bridge span stability, which were consolidated into a weighted geometric quality metric. Two predictive models were developed: the first estimated geometric deviations from process parameters, while the second inversely predicted optimal process parameters for a desired material response. Among several algorithms, CatBoost and DecisionTree regressors exhibited the strongest performance, with the best model achieving an

R^{2}

of 0.74 and a mean absolute error of 1.5 mm. The derived printability map identified optimal operational regions (100–115 mm/s, 470–490 cm³/s) corresponding to stable, high-quality prints. This integrated experimental–computational approach establishes a quantitative foundation for real-time process optimization, adaptive control, and quality assurance in additive construction.

三维混凝土3D打印（3DCP）在不同工艺条件下实现一致的几何质量和可重复打印性方面面临着持续的挑战，这限制了其大规模的工业应用。本研究提出了一个数据驱动的框架，将实验表征与基于机器学习的预测相结合，以评估和优化3DCP的几何质量。在控制喷嘴速度（75 - 150mm /s）和流量（478-593 cm3/s）的情况下，使用机器人打印系统制造了功能几何形状（立方体、悬挑和桥），最终得到了46个立方体、21个悬挑和66个桥。高分辨率成像能够定量提取几何指标，包括层高变化、角度偏差和桥梁跨度稳定性，并将其合并为加权几何质量指标。开发了两个预测模型：第一个估计工艺参数的几何偏差，而第二个反向预测所需材料响应的最佳工艺参数。在几种算法中，CatBoost和DecisionTree回归器表现出最强的性能，最佳模型的R2为0.74，平均绝对误差为1.5 mm。导出的印刷适性图确定了稳定、高质量打印的最佳操作区域（100-115 mm/s, 470-490 cm3/s）。这种集成的实验计算方法为增材结构的实时过程优化、自适应控制和质量保证奠定了定量基础。

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引用次数: 0