多元合金力学性能数据库

IF 2.218 Q2 Chemistry
Z. Li , Z.R. Zeng , R. Tan , M.L. Taheri , N. Birbilis
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引用次数: 1

摘要

多主元素合金(mpea)由于其优异的力学性能而成为一种很有前途的材料。在本文中,我们提出了一个综合数据库的力学性能的mpea -基于报告的工作,迄今为止。该数据库包含一系列性能,包括屈服强度、极限抗拉强度和伸长率(来自拉伸测试);以及抗压强度和塑性(来自抗压试验)。该数据库整合了有价值的信息,包括合金成分,硬度,相存在,加工和热处理条件。这些信息的包含使研究人员能够将机械性能与合金成分和加工参数相关联,从而帮助mpea的数字化设计具有定制的机械性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A database of mechanical properties for multi principal element alloys

A database of mechanical properties for multi principal element alloys

Multi-principal element alloys (MPEAs) have emerged as a promising class of materials due to their exceptional mechanical properties. In this paper, we present a comprehensive database of mechanical properties for MPEAs – based upon reported works to date. The database encompasses a range of properties, including yield strength, ultimate tensile strength and elongation (from tensile testing); and compressive strength and plasticity (from compression testing). The database incorporates a consolidation of valuable information, including alloy composition, hardness, phases present, processing, and heat treatment conditions. The inclusion of such information allows researchers to correlate mechanical properties with alloy composition and processing parameters, aiding in the digital design of MPEAs with tailored mechanical performance.

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来源期刊
Chemical Data Collections
Chemical Data Collections Chemistry-Chemistry (all)
CiteScore
6.10
自引率
0.00%
发文量
169
审稿时长
24 days
期刊介绍: Chemical Data Collections (CDC) provides a publication outlet for the increasing need to make research material and data easy to share and re-use. Publication of research data with CDC will allow scientists to: -Make their data easy to find and access -Benefit from the fast publication process -Contribute to proper data citation and attribution -Publish their intermediate and null/negative results -Receive recognition for the work that does not fit traditional article format. The research data will be published as ''data articles'' that support fast and easy submission and quick peer-review processes. Data articles introduced by CDC are short self-contained publications about research materials and data. They must provide the scientific context of the described work and contain the following elements: a title, list of authors (plus affiliations), abstract, keywords, graphical abstract, metadata table, main text and at least three references. The journal welcomes submissions focusing on (but not limited to) the following categories of research output: spectral data, syntheses, crystallographic data, computational simulations, molecular dynamics and models, physicochemical data, etc.
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