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Low-temperature Alloy Mechanical Properties Database

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DataCite Commons2025-06-01 更新2024-08-19 收录
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https://figshare.com/articles/dataset/Low-temperature_Alloy_Mechanical_Properties_Database/25912267/4
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资源简介:
Low-temperature alloys are important for a wide spectrum of modern technologies ranging from liquid hydrogen, superconductivity to the quantum technology. These applications push the limit of material performance into extreme coldness, often demanding a combination of strength and toughness to address various challenges.Steel is one of the most widely used materials in cryogenic applications. With the deployment in aerospace liquid hydrogen storage and transportation, aluminum and titanium alloys are also gaining increasing attention. Emerging medium-entropy alloys (MEAs) and high-entropy alloys (HEAs) demonstrate excellent low-temperature mechanical performance with a much-expanded space of material design. A database of low-temperature metallic alloys is reported here by collecting the literature data published from 1991 to 2023, which is hosted in an open repository. The workflow of data collection includes automated extraction based on machine learning and natural language processing, supplemented by manual inspection and correction, to enhance data extraction efficiency and database quality. The product datasets cover key performance parameters including yield strength, tensile strength, elongation at fracture, Charpy impact energy, as well as detailed information on materials such as their types, chemical compositions, processing and testing conditions. Data statistics are analyzed to elucidate the research and development patterns and clarify the challenges in both scientific exploration and engineering deployment.

低温合金(low-temperature alloys)在覆盖液氢、超导乃至量子技术的广泛现代科技领域中具有重要应用价值。此类应用将材料性能的极限推至极寒环境,往往需要材料兼具强度与韧性以应对各类挑战。钢材是低温应用场景中使用最广泛的材料之一。随着航空航天液氢储运场景的推广应用,铝及钛合金也受到越来越多的关注。新兴的中熵合金(medium-entropy alloys, MEAs)与高熵合金(high-entropy alloys, HEAs)展现出优异的低温力学性能,同时拥有更为广阔的材料设计空间。本研究通过收集1991年至2023年发表的文献数据,构建了低温金属合金数据库,并将其托管于开源仓库中。数据采集流程包括基于机器学习与自然语言处理的自动提取环节,并辅以人工核查与修正,以提升数据提取效率与数据库质量。本次产出的数据集涵盖多项关键性能参数,包括屈服强度、抗拉强度、断裂伸长率、夏比冲击功,同时包含材料类型、化学成分、制备工艺与测试条件等详细材料信息。通过对数据进行统计分析,本研究阐明了该领域的研发规律,并厘清了科学探索与工程应用中面临的挑战。
提供机构:
figshare
创建时间:
2024-07-07
搜集汇总
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背景与挑战
背景概述
该数据集是一个低温合金机械性能数据库,收集了1991至2023年间多种合金类型的关键性能参数,采用自动化与人工结合的方法确保数据质量,适用于航空航天等低温技术应用研究。
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