Advances and opportunities in high-throughput small-scale mechanical testing

IF 12.2 2区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY
Daniel S. Gianola , Nicolò Maria della Ventura , Glenn H. Balbus , Patrick Ziemke , McLean P. Echlin , Matthew R. Begley
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引用次数: 2

Abstract

The quest for novel materials used in technologies demanding extreme performance has been accelerated by advances in computational materials screening, additive manufacturing routes, and characterization probes. Despite tremendous progress, the pace of adoption of new materials has still not met the promise of global initiatives in materials discovery. This challenge is particularly acute for structural materials with thermomechanical and environmental demands whose performance depends on microstructure as well as material composition. In this prospective article, we review advances in high-throughput mechanical testing, and the associated specimen fabrication, materials characterization, and modeling tasks that show promise for acceleration of the materials development cycle. We identify a critical need to develop rapid testing and characterization strategies that faithfully reproduce design-relevant properties and circumvent the time and expense of conventional high fidelity testing. We identify small-scale mechanical testing workflows that can incorporate real-time decision making based on feedback from multimodal characterization and computational modeling. These workflows will require site-specific specimen fabrication procedures that are agnostic to the synthesis route and have the ability to modulate microstructure and defect characteristics. We close our review by conceptualizing a fully integrated high-throughput testing platform that addresses the speed-fidelity tradeoff in pursuit of a design-relevant suite of properties for new materials.

高通量小规模机械测试的进展与机遇
计算材料筛选、增材制造路线和表征探针的进步加速了对新材料的探索,这些新材料用于要求极端性能的技术。尽管取得了巨大的进步,但采用新材料的步伐仍未达到全球材料发现倡议的承诺。对于具有热机械和环境要求的结构材料来说,这一挑战尤其严峻,其性能取决于微观结构和材料成分。在这篇前瞻性的文章中,我们回顾了高通量机械测试的进展,以及相关的样品制造、材料表征和建模任务,这些任务显示了加速材料开发周期的希望。我们确定了开发快速测试和表征策略的关键需求,这些策略可以忠实地再现与设计相关的特性,并规避传统高保真测试的时间和费用。我们确定了小规模的机械测试工作流程,可以结合基于多模态表征和计算建模反馈的实时决策。这些工作流程将需要特定地点的样品制造程序,这些程序与合成路线无关,并且具有调节微观结构和缺陷特征的能力。我们通过概念化一个完全集成的高通量测试平台来结束我们的审查,该平台解决了在追求与新材料设计相关的性能套件时的速度-保真度权衡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Current Opinion in Solid State & Materials Science
Current Opinion in Solid State & Materials Science 工程技术-材料科学:综合
CiteScore
21.10
自引率
3.60%
发文量
41
审稿时长
47 days
期刊介绍: Title: Current Opinion in Solid State & Materials Science Journal Overview: Aims to provide a snapshot of the latest research and advances in materials science Publishes six issues per year, each containing reviews covering exciting and developing areas of materials science Each issue comprises 2-3 sections of reviews commissioned by international researchers who are experts in their fields Provides materials scientists with the opportunity to stay informed about current developments in their own and related areas of research Promotes cross-fertilization of ideas across an increasingly interdisciplinary field
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