期刊信息

Materials & Design

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影响因子:
8.2
出版商:
Elsevier
ISSN:
0264-1275
浏览:
25149
关注:
0

征稿

Materials & Design is an academic journal published by Elsevier. (ISSN 0264-1275, impact factor 8.2).

Aims & Scope Materials and Design is a top-tier journal that welcomes high-quality submissions from diverse disciplines in the materials’ world. Our focus is on exploring the correlations among structure, property, and processing of inorganic and organic materials, through innovative and proactive design. With an interdisciplinary approach, the journal connects materials science, engineering, physics, chemistry, biology, and emerging fields like Artificial Intelligence and advanced data science. We encourage submissions that offer ground-breaking insights into the multi-scale architecture and function of materials, showcase technological advancements, and demonstrate connections between synthesis and properties, experiment and simulation across the scales. By publishing outstanding research articles, reviews, and short communications, Materials and Design aims to advance the field of materials science and engineering, fostering collaboration and shaping the future of materials design.
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Special Issues

Special Issue on Defect Tolerance Design of Additive Manufacturing Components 截稿日期: 2026-08-31 This Special Issue aims to showcase the latest advances in understanding the mechanisms of defect formation, damage accumulation, and fatigue fracture, as well as innovative approaches to predict, control, and mitigate their impact. Guest editors: Xiaopeng Li The University of New South Wales Zhengkai Wu Department of Mechanical Engineering, Kyushu University Shengchuan Wu Southwest Jiaotong University Special issue information: Defect-tolerance design has become a cornerstone in ensuring the safety and reliability of AM components across aerospace, energy, automotive, and biomedical sectors. Coupled with increasingly extreme environments, including extreme temperatures and harsh corrosion conditions, intrinsic defects pose an even greater threat to the service safety of AM components. Defects such as pores, fusion, microcracks, and imperfections critically influence fracture and fatigue resistance. Establishing robust defect–damage–performance relationships is essential for qualifying materials and structures for demanding service conditions and environments. With recent advances in multi-data fusion, in situ experiment, and physics-informed machine learning, new opportunities have emerged to quantitatively assess defect tolerance and accelerate certification of next-generation equipment. Publications in this Special Issue will highlight innovative strategies, bridging fundamental mechanisms and engineering applications, and will attract wide interest from both academia and industry. Defect tolerance design is central to the development and qualification of AM components, particularly in safety-critical applications. From aerospace alloys to biomedical implants and from small-sized complex components to large-sized thin-walled components, the presence of defects and damage evolution strongly influences long-term fatigue and fracture resistance. This Special Issue aims to showcase the latest advances in understanding the mechanisms of defect formation, damage accumulation, and fatigue fracture, as well as innovative approaches to predict, control, and mitigate their impact. We welcome contributions that combine experimental characterization, modeling, and computational methods to establish quantitative links between defects, microstructure, and structural performance. Studies on defect/damage-tolerant design strategies, advanced in situ testing, experiment in extreme environment, machine learning frameworks, and reliability assessment are particularly encouraged. Topics of interest include, but are not limited to: Defect and damage formation mechanisms in AM metals, ceramics, and composites Multi-scale and in situ characterization of damage initiation and propagation Damage mechanism of AM materials and components under extreme environments Modeling and prediction of defect–damage–fracture relationships Multiple data-driven and computational approaches Strategies for certification, qualification, and design of defect tolerance structures Manuscript submission information: Submission Deadline: 31 August 2026 Submission Site: Editorial Manager® Article Type Name: "VSI: Defect Tolerance Design" - please select this item when you submit manuscripts online. All manuscripts will be peer-reviewed. Submissions will be evaluated based on originality, significance, technical quality, and clarity. Once accepted, articles will be posted online immediately and published in a journal regular issue within weeks. Articles will also be simultaneously collected in the online special issue. For any inquiries about the appropriateness of contribution topics, welcome to contact the Leading Guest Editor. For more information about our Journal, please visit our ScienceDirect Page: Materials and Design. Keywords: Structural Integrity, Defect Tolerance Assessment, Data Fusion, Physics-informed machine learning, Extreme environment https://www.sciencedirect.com/special-issue/328951/defect-tolerance-design-of-additive-manufacturing-components
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