Revisit the VEC rule in high entropy alloys (HEAs) with high-throughput CALPHAD approach and its applications for material design-A case study with Al–Co–Cr–Fe–Ni system

灰烬 高熵合金 材料科学 合金 价电子 热力学 耐火材料(行星科学) 难熔金属 相图 冶金 相(物质) 电子 化学 物理 量子力学 有机化学
作者
Songge Yang,Jun Lü,Fangzhou Xing,Lijun Zhang,Yu Zhong
出处
期刊:Acta Materialia [Elsevier BV]
卷期号:192: 11-19 被引量:192
标识
DOI:10.1016/j.actamat.2020.03.039
摘要

Valence electron concentration (VEC) was treated as a useful parameter to predict solid solution phases, and the VEC rule was proposed for high entropy alloys (HEAs). However, this empirical rule has its limitations, which restricts its applications for phase predictions in HEAs. In this paper, we revisited the empirical VEC rule with the HT-CALPHAD approach in the Al–Co–Cr–Fe–Ni system. Our investigation showed that more than 90% compositions are observed to have BCC structures when 5.7≤VEC≤7.2 and we got 100% FCC structures when VEC≥8.4. Meanwhile, we proposed a data screening procedure to classify and discover the new HEAs. The concepts of average density (ρHEA), highest BCC/FCC temperatures (TBCC/FCCmax), and temperature ranges (ΔTBCC/FCC) were introduced as useful data screening criteria to down-screen the candidate alloy compositions for specific engineering applications. In the current work, we have identified three HEA categories (refractory BCC HEAs, light-weight BCC HEA and refractory FCC HEAs) in the Al–Co–Cr–Fe–Ni system and proposed the best candidate in each group. More importantly, our investigation showed the HEA non-equiatomic composition space provides ample opportunities for the discovery of the next-generation HEAs.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
李文亚应助科研通管家采纳,获得20
1秒前
白石人家应助科研通管家采纳,获得10
1秒前
FashionBoy应助科研通管家采纳,获得10
1秒前
顾矜应助科研通管家采纳,获得10
1秒前
1秒前
科研通AI6.4应助柚子采纳,获得10
2秒前
jjjie发布了新的文献求助10
3秒前
楼carbon发布了新的文献求助10
4秒前
wangxiangqin发布了新的文献求助10
6秒前
xielunwen发布了新的文献求助10
6秒前
7秒前
8秒前
大模型应助jjj采纳,获得30
8秒前
8秒前
Jasper应助jiaojiao采纳,获得10
8秒前
Oliver发布了新的文献求助10
9秒前
Soda完成签到,获得积分20
10秒前
11秒前
THREE完成签到 ,获得积分10
11秒前
情怀应助山雀采纳,获得10
12秒前
完美世界应助Shandongdaxiu采纳,获得10
14秒前
14秒前
ophir完成签到,获得积分10
15秒前
飛666发布了新的文献求助10
16秒前
Oliver完成签到,获得积分10
18秒前
19秒前
19秒前
20秒前
tcc发布了新的文献求助10
20秒前
zzz发布了新的文献求助10
21秒前
SciGPT应助yzxzdm采纳,获得10
21秒前
可爱的函函应助楼carbon采纳,获得10
22秒前
22秒前
Andy1201应助魏冉采纳,获得10
22秒前
小不正经发布了新的文献求助10
24秒前
24秒前
彭于晏应助kaojirayu采纳,获得30
24秒前
24秒前
贝贝发布了新的文献求助10
25秒前
25秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Evidence Summary. Injection (subcutaneous):op- timal administration 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
Curating Socialism: A Handbook of International Art Exhibitions 1947-1989 530
Lengua e imagen en la comunicación digital 500
A First Course in Options Pricing Theory 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7480896
求助须知:如何正确求助?哪些是违规求助? 9074200
关于积分的说明 19350636
捐赠科研通 7097536
什么是DOI,文献DOI怎么找? 3247566
关于科研通互助平台的介绍 2416494
邀请新用户注册赠送积分活动 2232864