Materials & Design最新文献_第5页

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

Materials & Design

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 (α_P) phase and promotes β → α’ martensitic transformation above 900 °C. Aging thereafter leads to the precipitation of abundant secondary α (α_S) 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 α_P phases, nanoscale α_S 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

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

Materials & Design

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 (

I_{D} / I_{G} = 0.06

) and improved exfoliation (

I_{2 D} / I_{D} = 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

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

Materials & Design

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。

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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

Materials & Design

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

Materials & Design

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

Materials & Design

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

Accelerating materials discovery in heterogeneous composition-property design spaces via collaborative Bayesian optimization 通过协同贝叶斯优化加速材料在异质成分-性能设计空间中的发现

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

Materials & Design

Pub Date : 2026-01-01 DOI: 10.1016/j.matdes.2025.115331

Tuba Dolar , Nicolò Maria della Ventura , Florent Mignerot , Zihan Wang , Hannah C. Howard , Christopher T. Kassner , Haydn N.G. Wadley , Daniel S. Gianola , Wei Chen

Adaptive learning implementations for materials design are challenged by the complex, nonlinear relationships between composition and properties, particularly in high-performance applications such as high-temperature compositionally complex refractory alloys. Traditional Bayesian optimization (BO) methods, which typically rely on a single Gaussian Process (GP) surrogate, often struggle to model heterogenous behaviors across the design domain. To address this limitation, we introduce collaborative BO as a multi-agent framework for materials discovery. In the context of optimizing compositions for desired properties, each agent models a specific subregion of the design space, where subregions share similar property trends, and exchanges information with the other agents to expedite exploration and design optimization. Comparative evaluations demonstrate that, when compared to single-agent BO and other approaches discussed in this article multi-agent BO allows flexible information-sharing protocols and effectively reduces iterations of adaptive learning while reliably delivering designs that meet the targeted mechanical properties. These findings provide novel insights into the behavior of refractory multi-component alloys, using the Hf-Ti-Ta-Nb system as a case study, and illustrate the potential of adaptive multi-agent learning in efficiently screening extensive materials libraries. Moreover, the framework is broadly applicable to other problems characterized by diverse data sources, where advanced optimization strategies are essential for accelerated materials discovery.

材料设计的自适应学习实现面临着复杂的、非线性的成分和性能之间的关系的挑战，特别是在高性能应用中，如高温成分复杂的耐火合金。传统的贝叶斯优化（BO）方法通常依赖于单个高斯过程（GP）代理，通常难以对跨设计领域的异构行为进行建模。为了解决这一限制，我们引入了协作BO作为材料发现的多代理框架。在优化所需属性组合的上下文中，每个代理对设计空间的特定子区域进行建模，其中子区域共享类似的属性趋势，并与其他代理交换信息以加快探索和设计优化。对比评估表明，与单智能体BO和本文讨论的其他方法相比，多智能体BO允许灵活的信息共享协议，有效地减少自适应学习的迭代，同时可靠地提供满足目标机械性能的设计。这些发现以Hf-Ti-Ta-Nb系统为例，对难熔多组分合金的行为提供了新的见解，并说明了自适应多智能体学习在有效筛选广泛的材料库方面的潜力。此外，该框架广泛适用于以不同数据源为特征的其他问题，其中先进的优化策略对于加速材料发现至关重要。

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引用次数: 0

Laser remelting as a surface modification strategy for wear resistance improvement in ultra-high-speed laser cladding fabricated H13 coatings 激光重熔是提高超高速激光熔覆H13涂层耐磨性的表面改性策略

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

Materials & Design

Pub Date : 2026-01-01 DOI: 10.1016/j.matdes.2025.115345

Yuhang Ding , Xishuang Jing , Yukai Sun , Yishu Wang , Wanyuan Gui

Ultra-high-speed laser cladding (UHSLC) technique is widely regarded as an effective and efficient method for depositing H13 coatings on 27SiMn steel, aiming at improving the wear resistance of 27SiMn steel and prolonging its service life. However, the inherent rapid heating and rapid solidification in UHSLC process frequently result in micro-cracks, severe elemental segregation, surface defects, and compromised mechanical properties. To address these challenges, high-speed laser remelting (HSLR) was employed as a post-treatment process. The results indicate that HSLR significantly reduces elemental segregation, minimizes cracks, and smooths the surface roughness, thus improving the integrity of H13 coatings. Specifically, with 2200 W remelting power, results revealed 41.5 % less surface roughness and 60.4 % reduced wear loss. In addition, the remelting process enhances wear resistance by promoting the refinement of microstructural, ensuring the long-term stability of coatings under harsh conditions. This study emphasizes the potential of combining UHSLC with HSLR to produce high performance coatings with excellent wear resistance and structural uniformity.

超高速激光熔覆（UHSLC）技术被广泛认为是在27SiMn钢表面沉积H13涂层的一种有效、高效的方法，旨在提高27SiMn钢的耐磨性，延长其使用寿命。然而，超高温合金固有的快速加热和快速凝固往往会导致微裂纹、严重的元素偏析、表面缺陷和力学性能下降。为了解决这些挑战，采用高速激光重熔（HSLR）作为后处理工艺。结果表明，HSLR能显著减少元素偏析，使裂纹最小化，并使表面粗糙度平滑，从而提高H13涂层的完整性。具体来说，在2200 W的重熔功率下，表面粗糙度降低了41.5%，磨损损失降低了60.4%。此外，重熔工艺通过促进微观组织的细化来提高耐磨性，确保涂层在恶劣条件下的长期稳定性。该研究强调了UHSLC与HSLR结合的潜力，以生产具有优异耐磨性和结构均匀性的高性能涂层。

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引用次数: 0

A unified model for microstructure-sensitive fatigue crack initiation across low and high cycle fatigue 低周疲劳和高周疲劳中微结构敏感裂纹萌生的统一模型

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

Materials & Design

Pub Date : 2026-01-01 DOI: 10.1016/j.matdes.2025.115382

Krzysztof S. Stopka, Michael D. Sangid

Microstructure-sensitive modeling has shown promise to reduce reliance on experimental test campaigns to determine fatigue performance. However, most existing fatigue life models use metrics focused solely on fatigue crack initiation (FCI), but which are calibrated against and validated with total fatigue life, leading to large errors, especially in the low cycle fatigue (LCF) regime. This work unifies coupon-level experiments and microstructure-sensitive crystal plasticity simulations by explicitly delineating between three stages of life: initiation, small crack growth, and long crack growth. We introduce a load-dependent non-local averaging regularization strategy that reveals microplasticity/hot spot confinement prevalent in high cycle fatigue (HCF) and slip transmission across grain boundaries in LCF. A single parameter, the critical value of the accumulated plastic strain energy density, governs both LCF and HCF, and the model reproduces experimental FCI lives and scatter across five orders of magnitude. Statistics of simulated fatigue hot spots are used to explain experimental trends of larger hot spot volumes encompassing more grains as load increases, and variability in microstructure features and resulting micromechanical fields directly tied to variability in the resulting fatigue life. The unification of LCF and HCF behavior is an important step to adopting model-based strategies for predictions of fatigue performance.

微结构敏感建模已经显示出减少对实验测试活动来确定疲劳性能的依赖的希望。然而，大多数现有的疲劳寿命模型使用的指标只关注疲劳裂纹起裂（FCI），但它们是根据总疲劳寿命进行校准和验证的，这导致了很大的误差，特别是在低周疲劳（LCF）状态下。这项工作通过明确描述起始、小裂纹扩展和长裂纹扩展这三个阶段的寿命，统一了耦合级实验和微结构敏感晶体塑性模拟。我们引入了一种载荷依赖的非局部平均正则化策略，揭示了高周疲劳（HCF）中普遍存在的微塑性/热点约束和LCF中跨晶界的滑移传递。一个单一的参数，即累积塑性应变能密度的临界值，控制着LCF和HCF，该模型再现了实验FCI寿命，并在五个数量级上分散。模拟疲劳热点的统计数据被用来解释随着载荷的增加，更大的热点体积包含更多的晶粒的实验趋势，以及微观结构特征和由此产生的微力学场的可变性与所产生的疲劳寿命的可变性直接相关。LCF和HCF行为的统一是采用基于模型的策略进行疲劳性能预测的重要步骤。

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引用次数: 0

Optimization of piezoelectric ceramics sintering process parameters based on multiple indirect quality indicators 基于多个间接质量指标的压电陶瓷烧结工艺参数优化

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

Materials & Design

Pub Date : 2026-01-01 DOI: 10.1016/j.matdes.2025.115363

Fei He , Chao Ma , Shan Wan , Xiaodong Wang , Linlin Zhang

The sintering process is a key factor affecting the quality of piezoelectric ceramics, characterized by a complex nonlinear relationship between process parameters and final product quality. This paper proposes a multi-objective parameter optimization model driven by quality prediction to enhance sintering performance. Relationships between key indirect quality indicators (grain size, relative density, and residual stress) and final product properties are established. A BOHB-CatBoost prediction model accurately predicts process parameter impacts, while NSGA-III and TOPSIS-Entropy methods are employed to optimize 15 sintering parameters. Optimal process parameters yield quality indicators of 6.592 μm grain size, 0.975 relative density, and 1.09 MPa residual stress. This study provides valuable insights into tunnel kiln sintering quality control for piezoelectric ceramics, offering guidance for industrial production.

烧结工艺是影响压电陶瓷质量的关键因素，其工艺参数与最终产品质量之间存在复杂的非线性关系。为了提高烧结性能，提出了一种质量预测驱动的多目标参数优化模型。建立了关键间接质量指标（粒度、相对密度和残余应力）与最终产品性能之间的关系。BOHB-CatBoost预测模型准确预测了工艺参数的影响，NSGA-III和TOPSIS-Entropy方法对15个烧结参数进行了优化。最优工艺参数的晶粒尺寸为6.592 μm，相对密度为0.975，残余应力为1.09 MPa。本研究为压电陶瓷隧道窑烧结质量控制提供了有价值的见解，为工业生产提供了指导。

引用次数: 0