自主传感结构材料(add . function)板牙。11/2025)

IF 19 1区 材料科学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Mattia Utzeri, Hülya Cebeci, Shanmugam Kumar
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引用次数: 0

摘要

自主传感材料在文章编号2411975中,Shanmugam Kumar, Mattia Utzeri和h lya Cebeci介绍了一种结合理论,实验和有限元建模的新框架,以开发用于增材制造的压阻晶格复合材料的多尺度,多物理场模型。通过结合应力相关的电阻率,并考虑材料、几何和接触非线性,该模型可以准确预测结构相关的响应,并通过红外热成像进行验证。封闭形式的测量因子表达式优化了压阻性能,而Ashby图表分析揭示了缩放定律,为智能骨科、结构健康监测等打开了大门。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Autonomous Sensing Architected Materials (Adv. Funct. Mater. 11/2025)

Autonomous Sensing Architected Materials (Adv. Funct. Mater. 11/2025)

Autonomous Sensing Materials

In article number 2411975, Shanmugam Kumar, Mattia Utzeri, and Hülya Cebeci introduce a novel framework combining theory, experiments, and finite element modeling to develop multiscale, multiphysics models for additive manufacturing-enabled piezoresistive lattice composites. By incorporating stress-dependent electrical resistivity and accounting for material, geometric, and contact nonlinearities, the model accurately predicts architecture-dependent responses, validated through infrared thermography. A closed-form gauge factor expression optimizes piezoresistive performance, while an Ashby chart analysis reveals a scaling law, opening doors to smart orthopaedics, structural health monitoring, and more.

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来源期刊
Advanced Functional Materials
Advanced Functional Materials 工程技术-材料科学:综合
CiteScore
29.50
自引率
4.20%
发文量
2086
审稿时长
2.1 months
期刊介绍: Firmly established as a top-tier materials science journal, Advanced Functional Materials reports breakthrough research in all aspects of materials science, including nanotechnology, chemistry, physics, and biology every week. Advanced Functional Materials is known for its rapid and fair peer review, quality content, and high impact, making it the first choice of the international materials science community.
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