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First-principles study of the superconductivity of quaternary ABIrH6 (A, B = Be, Mg, Ca, Sr, Ba) compounds under ambient pressure 四元ABIrH6 (A, B = Be, Mg, Ca, Sr, Ba)化合物在常压下超导性的第一性原理研究
IF 7.9 2区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2026-01-03 DOI: 10.1016/j.matdes.2025.115424
Jing Luo , Qun Wei , Meiguang Zhang
Superconducting materials have long attracted interest, but their practical applications are constrained by the requirement for extremely low transition temperatures or high pressures. In this study, inspired by the ambient-pressure superconductor Mg2IrH6, a series of quaternary ABIrH6 compounds (where A, B = Be, Mg, Ca, Sr, Ba) were designed through binary substitution of Group II elements. Using first-principles calculations, we evaluated the thermodynamic, mechanical, and dynamical stability of these hydrogen-rich metallic compounds, identifying five stable structures. Notably, MgCaIrH6 and MgSrIrH6 exhibit superconducting transition temperatures of 33.4 and 23.2 K, respectively. Electron–phonon coupling (EPC) analysis reveals that phonons in the 0–18 THz range contribute considerably to the EPC, with hydrogen accounting for nearly half of the total contribution. The superconducting phases exhibit a higher hydrogen density of states at the Fermi level, indicating enhanced coupling. The complex Fermi surface topology and the relatively low electron localization between adjacent Ir–H octahedra represent key differences between the superconducting and non-superconducting phases within the same structural framework. Additionally, although some non-superconducting compounds exhibit higher Debye temperatures, the low electronic density of states at the Fermi level suppresses the electron–phonon coupling.
超导材料长期以来一直引起人们的兴趣,但其实际应用受到极低转变温度或高压要求的限制。在本研究中,受常压超导体Mg2IrH6的启发,通过II族元素的二元取代设计了一系列ABIrH6四元化合物(其中a, B = Be, Mg, Ca, Sr, Ba)。利用第一性原理计算,我们评估了这些富氢金属化合物的热力学、力学和动力学稳定性,确定了五种稳定的结构。MgCaIrH6和MgSrIrH6的超导转变温度分别为33.4 K和23.2 K。电子-声子耦合(EPC)分析表明,0-18 THz范围内的声子对EPC的贡献很大,其中氢占总贡献的近一半。超导相在费米能级表现出更高的态氢密度,表明耦合增强。复杂的费米表面拓扑结构和相邻Ir-H八面体之间相对较低的电子局域化代表了在相同结构框架内超导相和非超导相之间的关键区别。此外,尽管一些非超导化合物表现出更高的德拜温度,但在费米能级上的低电子密度抑制了电子-声子耦合。
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引用次数: 0
Hybrid organic–inorganic polymers based on sarcosine: The influence of metal coordination on phase transitions 基于肌氨酸的杂化有机-无机聚合物:金属配位对相变的影响
IF 7.9 2区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2026-01-02 DOI: 10.1016/j.matdes.2026.115436
Monika Trzebiatowska , Marek Gusowski , Tamara J. Bednarchuk , Jan Baran , Marek Drozd , Agnieszka Ciżman
The amino acids (AA) have been considered as building blocks of proteins rather so far than the hybrid organic–inorganic materials (HOIM), like polymers or perovskites (HOIP). Yet, here we present the structure–property relation results for four HOIMs based on a simple AA – sarcosine (N-methylglycine) and metal halides MX2, where M=Sr, Ba and X=Cl, Br. The studies reveal a presence of reversible phase transitions above room-temperature in each crystal associated with crystal transformation into different symmetries, caused by a rearrangement of the metal coordination spheres. These materials constitute a cheap, bio-based alternative for organic–inorganic perovskites.
到目前为止,氨基酸(AA)一直被认为是蛋白质的组成部分,而不是像聚合物或钙钛矿(HOIP)这样的有机无机混合材料(HOIM)。然而,我们在这里给出了基于简单的AA -肌氨酸(n -甲基甘氨酸)和金属卤化物MX2的四种HOIMs的结构-性质关系结果,其中M=Sr, Ba, X=Cl, Br。研究表明,在室温以上,由于金属配位球的重排,每个晶体都存在可逆的相变,这些相变与晶体转变成不同的对称性有关。这些材料构成了有机-无机钙钛矿的廉价生物基替代品。
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引用次数: 0
A novel energy density model based on empirically-derived laser and powder parameters for directed energy deposition of stainless steel 316 L 基于经验导出的激光和粉末参数的316 L不锈钢定向能沉积能量密度模型
IF 7.9 2区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2026-01-02 DOI: 10.1016/j.matdes.2026.115433
Hyewon Shin , Sang Won Lee
In this study, a modified specific energy density (MSED) is proposed to address the limitations of the nominal energy–density model, which fails to reflect actual laser thermal interactions or effective powder behavior in directed energy deposition (DED). The actual heat-affected diameter and powder distribution were parameterized through empirical laser marking experiments and vision-based image analysis of powder flow. The effective energy delivered per unit mass was calculated by integrating the spatial overlap between laser energy and powder concentration. Geometric growth, including width and height, increased with MSED but began to decrease above 150 (kJ/g) s, at which point the dilution rate approached the physical limit of approximately 70 %. Microstructural trends were also qualitatively identified, with fine dendritic structures appearing at low MSED and gradual dendritic coarsening at high MSED. Furthermore, a regression model was developed using laser power, scan speed, and MSED and validated through four-fold cross-validation. This model demonstrated strong generalization, with an average predictive performance R2 = 0.956, and the dilution-specific model achieved an R2 = 0.912 for the single MSED relationship. These results demonstrate that MSED serves as a physically based indicator representing various qualities and can be used as an optimization indicator in DED manufacturing.
在这项研究中,提出了一种改进的比能量密度(MSED)来解决标称能量密度模型的局限性,该模型不能反映定向能沉积(DED)中实际的激光热相互作用或有效的粉末行为。通过经验激光打标实验和基于视觉的粉末流图像分析,参数化了实际热影响直径和粉末分布。通过对激光能量与粉末浓度的空间重叠进行积分,计算出单位质量的有效能量。几何生长,包括宽度和高度,随着MSED的增加而增加,但在150 (kJ/g) s以上开始下降,此时稀释率接近物理极限约70%。显微组织趋势也得到定性鉴定,低MSED时出现细枝晶结构,高MSED时枝晶逐渐粗化。此外,利用激光功率、扫描速度和MSED建立了回归模型,并通过四重交叉验证进行了验证。该模型具有较强的泛化能力,平均预测性能R2 = 0.956,稀释特异性模型对单个MSED关系的预测性能R2 = 0.912。这些结果表明,MSED是一个基于物理的指标,代表了各种品质,可以用作DED制造中的优化指标。
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引用次数: 0
Development of a data-driven user-defined hardening model for cyclic behavior via transformer 数据驱动的用户自定义硬化模型的开发
IF 7.9 2区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2026-01-02 DOI: 10.1016/j.matdes.2025.115417
Jonghwan Lee , Burcu Tasdemir , Michael Martin , David Knowles , Mahmoud Mostafavi
Quantifying material response to external cyclic loading is an essential prerequisite for calculating the fatigue life of components and estimating their reliability. Conventional methods, such as experiments and physics-based simulations, used to obtain cyclic behaviour, have served us well but are time-consuming and can be expensive. In particular, the accuracy of simulations heavily relies on the accuracy of their constitutive laws and the precision with which their parameters are calibrated. An alternative approach, proposed in this research, is a deep learning-based method that efficiently predicts cyclic responses using a Transformer model with a scale factor and tailored loss function. To train the model, constant-amplitude cyclic experiments on stainless steel type 316H were conducted. Training was performed at strain ranges of 0.3% and 2.0%, and the model’s predictive performance was evaluated at an unseen strain range of 1.2%. Furthermore, a data-driven User Hardening (UHARD) model was devised, integrating the predictions of the Transformer model into a Finite Element Analysis (FEA) framework. The UHARD successfully captured the combined isotropic and kinematic hardening effects of 316H stainless steel at the 1.2% strain range, outperforming the Armstrong-Frederick model, which is a conventional approach for simulating the yield stress evolution under cyclic loading. The developed UHARD model can be used in engineering applications to predict the cyclic behaviour of engineering components with complex geometry and loading cycles.
量化材料对外循环载荷的响应是计算构件疲劳寿命和评估其可靠性的必要前提。传统的方法,如实验和基于物理的模拟,用于获得循环行为,已经为我们提供了很好的服务,但既耗时又昂贵。特别是,模拟的准确性在很大程度上依赖于其本构律的准确性和其参数校准的精度。本研究中提出的另一种方法是基于深度学习的方法,该方法使用具有比例因子和定制损失函数的Transformer模型有效地预测循环响应。为了训练模型,对316H型不锈钢进行了等幅循环实验。在0.3%和2.0%的应变范围内进行训练,在1.2%的未知应变范围内评估模型的预测性能。此外,设计了一个数据驱动的用户强化(UHARD)模型,将变压器模型的预测集成到有限元分析(FEA)框架中。UHARD成功捕获了316H不锈钢在1.2%应变范围内的各向同性和运动硬化效应,优于模拟循环加载下屈服应力演变的常规方法Armstrong-Frederick模型。开发的UHARD模型可用于工程应用,以预测具有复杂几何形状和加载周期的工程部件的循环行为。
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引用次数: 0
Achieving an optimal combination of strength and ductility of a hot-rolled Ti-6121 alloy by tuning solution temperature 通过调整固溶温度,实现热轧Ti-6121合金强度和延展性的最佳结合
IF 7.9 2区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2026-01-02 DOI: 10.1016/j.matdes.2026.115438
Banglei Zhao , Le Wang , Jianwei Chen , Xianyu Li
Ti-6Al-1Cr-2Mo-1V (Ti-6121) is a recently developed titanium alloy with exceptional mechanical properties, making it a promising candidate for aerospace and armor applications. However, the mechanistic understanding of how solution temperature governs phase evolution and mechanical properties remains limited. In this study, we systematically investigate the effect of solution temperature (800–1000 °C) on the microstructure and tensile properties of hot-rolled Ti-6121 alloy subjected to subsequent aging at 550 °C for 6 h. Microstructural characterization reveals that increasing the solution temperature reduces the volume fraction of primary α (αP) phase and promotes β → α’ martensitic transformation above 900 °C. Aging thereafter leads to the precipitation of abundant secondary α (αS) phases. Tensile tests demonstrate that strength increases with solution temperature, while ductility declines. Notably, the alloy solution-treated at 900 °C for 1 h and aged at 550 °C for 6 h achieves an optimal strength–ductility balance, with an ultimate tensile strength of ∼1387 MPa and an elongation of ∼11 %. This superior performance is attributed to the synergistic effects of hierarchically distributed αP phases, nanoscale αS precipitates, and high dislocation density. Our findings provide new insights into the heat treatment-microstructure-property relationships in Ti-6121 alloy, facilitating its development as a high-performance structural material.
Ti-6Al-1Cr-2Mo-1V (Ti-6121)是最近开发的钛合金,具有卓越的机械性能,使其成为航空航天和装甲应用的有前途的候选者。然而,对溶液温度如何控制相演化和力学性能的机制理解仍然有限。本研究系统研究了800 ~ 1000℃固溶温度对热轧Ti-6121合金550℃后续时效6 h组织和拉伸性能的影响。显微组织表征表明,900℃以上固溶温度的升高降低了初生α (α p)相的体积分数,促进了β→α′马氏体相变。随后时效导致大量次生α (α s)相的析出。拉伸试验表明,随着溶解温度的升高,强度增加,而延展性下降。值得注意的是,合金在900°C固溶处理1 h, 550°C时效处理6 h,达到了最佳的强度-塑性平衡,其极限抗拉强度为~ 1387 MPa,伸长率为~ 11%。这种优异的性能归因于分层分布的αP相、纳米级αS析出物和高位错密度的协同作用。本研究为Ti-6121合金的热处理-显微组织-性能关系提供了新的见解,促进了Ti-6121合金作为高性能结构材料的发展。
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引用次数: 0
Generative design strategies for additive manufacturing of lattice structures: A review 晶格结构增材制造的生成设计策略综述
IF 7.9 2区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2026-01-02 DOI: 10.1016/j.matdes.2026.115431
Fuyuan Liu , Yitian Shao , Min Chen
Additive manufacturing (AM) enables the creation of architected lattices with unprecedented geometric freedom, fundamentally expanding the boundaries of modern design. This review positions generative design (GD) as a process-aware and human-in-the-loop framework for exploring high-dimensional design spaces under coupled functional requirements and manufacturable constraints. We define a unified architecture that integrates geometry generation, performance evaluation, and cross-scale optimization, spanning from unit-cell design to the integration of conformal and graded lattice structures.
The review highlights two complementary directions: i) physical model-based methods, which offer interpretable, constraint-faithful guidance from unit-cell archetypes (strut-, plate-, and TPMS-based) to graded or conformal layouts through topology optimization, stress-driven grading, and conformal methods; and ii) data-driven methods, which extend design coverage and accelerate iteration by learning latent geometry-performance relationships for inverse and multi-objective design. We specifically examine how AI-enabled generators, when combined with physics-informed evaluators, can reduce design iteration time by orders of magnitude while simultaneously preserving printability and structural reliability.
Importantly, this review synthesizes AM process-specific generative strategies, emphasizing the explicit embedding of process physics and manufacturing constraints for modalities such as powder bed fusion and vat photopolymerization. Finally, emerging directions in scalable multiscale modeling, uncertainty-aware design, and hybrid physics-informed data-driven frameworks are outlined, pointing toward verifiable and industry-ready generative design methodologies.
增材制造(AM)能够以前所未有的几何自由度创建架构网格,从根本上扩展了现代设计的边界。本综述将生成设计(GD)定位为一个过程感知和人在环框架,用于在耦合功能需求和可制造约束下探索高维设计空间。我们定义了一个统一的架构,集成了几何生成、性能评估和跨尺度优化,从单胞设计到保形和渐变晶格结构的集成。该综述强调了两个互补的方向:1)基于物理模型的方法,通过拓扑优化、应力驱动分级和保形方法,提供可解释的、约束忠实的指导,从单元原型(基于支柱、板和tppm)到分级或保形布局;ii)数据驱动方法,通过学习逆设计和多目标设计的潜在几何性能关系来扩展设计覆盖范围并加速迭代。我们特别研究了人工智能生成器如何与物理评估器相结合,在保持可打印性和结构可靠性的同时,减少设计迭代时间。重要的是,这篇综述综合了增材制造工艺特定的生成策略,强调了诸如粉末床熔融和还原光聚合等模式的工艺物理和制造约束的明确嵌入。最后,概述了可扩展的多尺度建模,不确定性感知设计和混合物理信息数据驱动框架的新兴方向,指向可验证和工业就绪的生成设计方法。
{"title":"Generative design strategies for additive manufacturing of lattice structures: A review","authors":"Fuyuan Liu ,&nbsp;Yitian Shao ,&nbsp;Min Chen","doi":"10.1016/j.matdes.2026.115431","DOIUrl":"10.1016/j.matdes.2026.115431","url":null,"abstract":"<div><div>Additive manufacturing (AM) enables the creation of architected lattices with unprecedented geometric freedom, fundamentally expanding the boundaries of modern design. This review positions generative design (GD) as a process-aware and human-in-the-loop framework for exploring high-dimensional design spaces under coupled functional requirements and manufacturable constraints. We define a unified architecture that integrates geometry generation, performance evaluation, and cross-scale optimization, spanning from unit-cell design to the integration of conformal and graded lattice structures.</div><div>The review highlights two complementary directions: i) physical model-based methods, which offer interpretable, constraint-faithful guidance from unit-cell archetypes (strut-, plate-, and TPMS-based) to graded or conformal layouts through topology optimization, stress-driven grading, and conformal methods; and ii) data-driven methods, which extend design coverage and accelerate iteration by learning latent geometry-performance relationships for inverse and multi-objective design. We specifically examine how AI-enabled generators, when combined with physics-informed evaluators, can reduce design iteration time by orders of magnitude while simultaneously preserving printability and structural reliability.</div><div>Importantly, this review synthesizes AM process-specific generative strategies, emphasizing the explicit embedding of process physics and manufacturing constraints for modalities such as powder bed fusion and vat photopolymerization. Finally, emerging directions in scalable multiscale modeling, uncertainty-aware design, and hybrid physics-informed data-driven frameworks are outlined, pointing toward verifiable and industry-ready generative design methodologies.</div></div>","PeriodicalId":383,"journal":{"name":"Materials & Design","volume":"262 ","pages":"Article 115431"},"PeriodicalIF":7.9,"publicationDate":"2026-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145974507","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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
Morphological design of nano-engineered expanded graphite for enhanced dynamic energy absorption in liquid thermoplastic/CF composites 纳米工程膨胀石墨增强液体热塑性/CF复合材料动态能量吸收的形态设计
IF 7.9 2区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2026-01-02 DOI: 10.1016/j.matdes.2026.115435
J. Jefferson Andrew , Jabir Ubaid , Chanaka Sandaruwan , Shanavas Shajahan , Yarjan Abdul Samad , Wesley J. Cantwell , Kamran A. Khan , Rehan Umer
Graphene and related materials (GRMs) offer promising routes to enhance energy absorption in composites. This study investigates the morphological influence of two expanded graphite (EG) types i.e. nano-engineered worm-like EG (EG-W), and compact EG (EG-C) on microstructure, low-velocity impact, and thermomechanical performance used within recyclable liquid thermoplastic (Elium®) and carbon fiber composites (CF/Elium®). SEM, Raman, and XPS analyses reveal that EG-W’s higher aspect ratio, interconnected morphology, and balanced surface chemistry provide superior dispersion and load-transfer capability compared to EG-C, despite the latter’s higher oxygen functional content. Raman spectroscopy and 2D mapping further confirm notable differences in defect density, exfoliation, and spatial distribution across filler loadings (0–1.5 wt%). EG-W exhibits lower structural disorder (ID/IG=0.06) and improved exfoliation (I2D/ID=9.1), promoting uniform integration into the polymer matrix. Low-velocity impact tests (5–20 J) demonstrates that an optimal loading of 0.5 wt%, EG-W enhances peak force and energy absorption by 16.6 % and 18.9 %, respectively, compared to EG-C. At higher loadings (1–1.5 wt%), both systems exhibit reduced performance due to nanoparticle agglomeration. These findings highlight the critical role of EG morphology and concentration in tailoring impact resistance, enabling design of advanced recyclable composites for high-performance structural applications.
石墨烯及其相关材料(GRMs)为增强复合材料的能量吸收提供了有前途的途径。本研究研究了两种膨胀石墨(EG)类型,即纳米工程蠕虫状EG (EG- w)和致密EG (EG- c)对可回收液体热塑性塑料(Elium®)和碳纤维复合材料(CF/Elium®)的微观结构、低速冲击和热机械性能的形态学影响。SEM、Raman和XPS分析表明,与EG-C相比,EG-W具有更高的宽高比、相互连接的形态和平衡的表面化学,提供了更好的分散和负载传递能力,尽管后者的氧功能含量更高。拉曼光谱和二维绘图进一步证实了不同填料(0-1.5 wt%)的缺陷密度、剥落和空间分布的显著差异。EG-W具有较低的结构无序性(ID/IG=0.06)和较好的脱落性(I2D/ID=9.1),促进了与聚合物基体的均匀结合。低速冲击试验(5-20 J)表明,与EG-C相比,在0.5 wt%的最佳载荷下,EG-W的峰值力和能量吸收分别提高了16.6%和18.9%。在较高的负载(1-1.5 wt%)下,由于纳米颗粒团聚,两种系统的性能都会下降。这些发现强调了EG的形态和浓度在定制抗冲击性方面的关键作用,使设计高性能结构应用的先进可回收复合材料成为可能。
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引用次数: 0
A validated finite element model for designing a multistage forming process to enhance annealing-induced shape change in AISI 420 sheet 建立了一种有效的有限元模型,用于设计提高aisi420板退火诱导形状变化的多阶段成形工艺
IF 7.9 2区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2026-01-01 DOI: 10.1016/j.matdes.2025.115375
Kegu Lu , Yadong Zhou , Gerrit Klaseboer , Redmer van Tijum , Soheil Solhjoo , Maysam Naghinejad , Yutao Pei , Jan Post
Heat treatment of metallic components, while crucial for achieving desired material properties, often induces shape changes that compromise dimensional accuracy. For components manufactured from AISI 420 sheet, this shape change is minor yet critical, presenting significant challenges for experimental measurement and parametric investigation. This work develops and validates a finite element-based constitutive model suite to not only predict this phenomenon but also to design a novel multistage forming process that deliberately amplifies the shape change for measurability. The model, which incorporates mechanical and thermal effects, was implemented in a staged workflow preserving state variables across simulations. Validation against an existing process demonstrated excellent agreement in predicting both earing and annealing-induced shape change. Subsequently, this validated model was employed to design a new process. Among five tooling variants assessed, the optimized design successfully amplifies the shape change to 47.3 µm, a tenfold increase over an existing process. Our analysis reveals that shape change is governed by the magnitude and components of residual stress in conjunction with product geometry. This study contributes a validated constitutive model suite, a systematic workflow for FEM-based process design, and a novel multistage forming process engineered to amplify annealing-induced shape change and enhance measurability.
金属部件的热处理虽然对实现所需的材料性能至关重要,但往往会导致形状变化,从而影响尺寸精度。对于由AISI 420板材制造的部件,这种形状变化很小但很重要,这对实验测量和参数研究提出了重大挑战。这项工作开发并验证了基于有限元的本构模型套件,不仅可以预测这种现象,还可以设计一种新的多阶段成形工艺,故意放大形状变化以实现可测量性。该模型结合了机械和热效应,在阶段工作流中实现,在模拟中保留状态变量。对现有工艺的验证表明,在预测耳朵和退火引起的形状变化方面具有很好的一致性。随后,利用该验证模型设计新工艺。在评估的五种工具变体中,优化设计成功地将形状变化放大到47.3 μ m,比现有工艺增加了十倍。我们的分析表明,形状的变化是由大小和残余应力的组成部分,结合产品的几何形状。本研究提供了一个有效的本构模型套件,一个基于fem的工艺设计的系统工作流程,以及一个新的多阶段成形工艺,旨在放大退火引起的形状变化并提高可测量性。
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引用次数: 0
Quantitative grain structure and texture analysis of hot-pressed ZrB2 via 3D EBSD 热压ZrB2的三维EBSD定量晶粒组织和织构分析
IF 7.9 2区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2026-01-01 DOI: 10.1016/j.matdes.2025.115378
Randi Swanson , Michael Chapman , Yue Zhou , Ashley Hilmas , Lisa Rueschhoff , Michael Uchic , William G. Fahrenholtz , Scott J. McCormack
Understanding and controlling the grain structure of ZrB2 is critical for optimizing its mechanical and thermal performance in high-temperature applications. Fully dense ZrB2, densified by hot pressing at 2150˚C and 32 MPa, was analyzed in three dimensions using electron backscattered diffraction, electron and optical microscopy, and mechanical polishing serial sectioning. Grain size followed a gamma distribution, with extreme deviations observed only in the largest 0.1% of grains. Large grains exhibited plate-like morphologies, with the shortest-to-longest axis ratio converging to ∼0.4 as grain volume increased. This work revealed a crystallographically controlled growth mechanism orthogonal to [0001] that is independent of the applied uniaxial load. Comparison with a large-area 2D scan showed that while 2D analysis captures grain size distributions, it fails to resolve correlations between grain shape and size. A synthetic hexagonal high symmetry microstructure generated with equiaxed grains and random orientations reproduced the experimental size and misorientation distributions but highlighted deviations in shape and texture observed experimentally. These findings elucidate the role of grain morphology and orientation in ZrB2 microstructural evolution and provide guidance for designing ZrB2 microstructures with tailored anisotropy for performance. The experimental characterization in this study offers insights into the controlled processing of ultra-high-temperature ceramics.
了解和控制ZrB2的晶粒结构是优化其高温力学和热性能的关键。采用电子背散射衍射、电子显微镜和光学显微镜、机械抛光连续切片等方法,对在2150℃和32 MPa下热压致密的ZrB2进行三维分析。晶粒尺寸遵循伽玛分布,只有在最大的0.1%的晶粒中观察到极端偏差。大晶粒呈现板状形貌,随着晶粒体积的增大,最短与最长轴比趋近于~ 0.4。这项工作揭示了一种与[0001]正交的晶体学控制的生长机制,该机制与施加的单轴载荷无关。与大面积二维扫描的对比表明,二维分析虽然捕获了晶粒尺寸分布,但无法解决晶粒形状和尺寸之间的相关性。由等轴晶粒和随机取向合成的高对称六边形微观结构再现了实验尺寸和错取向分布,但突出了实验观察到的形状和织构偏差。这些发现阐明了晶粒形态和取向在ZrB2微结构演变中的作用,并为设计具有定制各向异性性能的ZrB2微结构提供了指导。本研究的实验表征为超高温陶瓷的控制加工提供了见解。
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引用次数: 0
Study on the mechanical properties of surface-modified CF/PEEK composite structures for potential implants fabricated by high-temperature air-assisted 3D printing 高温空气辅助3D打印制备潜在植入物表面改性CF/PEEK复合结构的力学性能研究
IF 7.9 2区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2026-01-01 DOI: 10.1016/j.matdes.2025.115376
Yang Li, Yongqi Nie, Xiaoyu Han
Although PEEK material exhibits excellent mechanical properties, its performance still differs from that required for artificial bone implants. Therefore, additives such as carbon fiber (CF) are often incorporated to further enhance its mechanical properties. Additionally, the melting point of PEEK is approximately 343 °C, while the typical 3D printing environment temperature is approximately 25 °C. The significant temperature gradient between the extruded PEEK material and the ambient temperature restricts the alignment of molecular chains within the material, resulting in low crystallinity. To improve the bonding strength between CF and the PEEK matrix, this study employs a synergistic treatment method combining electrochemical oxidation and silane coupling agent to modify the CF surface, thereby enhancing the interfacial connection. Simultaneously, a high-temperature air-assisted printing process is introduced to precisely control the temperature field of the printing environment, suppress thermal stress, and promote molecular chain diffusion and crystallization, effectively strengthening the interlayer bonding. Experimental results demonstrate that the electrochemical oxidation-silane coupling agent modification improves the bonding strength approximately 14 % between CF and the PEEK matrix. The high-temperature air-assisted printing process enhances the interlayer adhesion between extruded layers. This study provides a practical technological approach and theoretical foundation for fabricating high-performance, customized CF/PEEK composite implants.
虽然PEEK材料具有优异的机械性能,但其性能与人工骨植入物的要求仍有差距。因此,通常加入碳纤维(CF)等添加剂以进一步提高其机械性能。此外,PEEK的熔点约为343°C,而典型的3D打印环境温度约为25°C。挤出的PEEK材料与环境温度之间的显著温度梯度限制了材料内分子链的排列,导致结晶度低。为了提高CF与PEEK基体之间的结合强度,本研究采用电化学氧化与硅烷偶联剂相结合的协同处理方法对CF表面进行改性,从而增强界面连接。同时,引入高温空气辅助打印工艺,精确控制打印环境温度场,抑制热应力,促进分子链扩散结晶,有效加强层间键合。实验结果表明,电化学氧化-硅烷偶联剂改性可使CF与PEEK基体的结合强度提高约14%。高温空气辅助印刷工艺提高了挤出层之间的层间附着力。本研究为制备高性能、定制化的CF/PEEK复合植入体提供了实用的技术途径和理论基础。
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引用次数: 0
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Materials & Design
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