Direct Current Electrodeposition of Fe-Ni INVAR Alloy Films and Numerical Simulation of Thickness Uniformity

因瓦 材料科学 电流(流体) 合金 冶金 计算机模拟 复合材料 电气工程 计算机科学 工程类 模拟
作者
Xiaohong Lü,Guoqing Xv,Guanghao Zhang,Zhenda Wang,Steven Y. Liang
标识
DOI:10.1115/msec2025-155501
摘要

Abstract Fine Metal Mask (FMM) is an expendable thin film densely covered with arrays of micropores, which is used in the evaporation process of manufacturing OLED. Its material is INVAR alloy (Fe-Ni 36 wt.%) with low coefficient of thermal expansion. When the INVAR alloy film is manufactured by direct current (DC) electrodeposition. Controlling the composition of the electrodeposited layer and ensuring uniform thickness of the deposited layer is a challenge. To solve the above problems, the authors combine experimental and simulation methods. Firstly, orthogonal experiments L16 (44) with four factors and four levels are conducted, which use NiSO4 concentration, current density, pH value, and temperature as influencing factors. Based on the results of the experiment, range analysis demonstrates the consequence of four factors on the Fe content of electroforming films. Then, the electroforming films conforming to INVAR alloy composition are obtained by single-factor experiments. Aiming at the problems of time-consuming and poor universality of traditional experimental methods to solve the problem of uneven thickness of the electroforming layer, a simulation model of INVAR alloy electrodeposition process based on COMSOL is established. The effects of stirring speed and the distance between anode and cathode on thickness uniformity are investigated. Finally, through the reasonable selection of stirring speed and the distance between anode and cathode, the problem of uneven thickness of sediment layer is effectively solved. Electrodeposited layers with uneven thickness of only 7.8% can be obtained by selecting suitable process parameters. The research findings can provide theoretical guidance and technical support for the fabrication of high-resolution and high-precision FMM through electrodeposition.

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
1秒前
完美世界应助栗Lina采纳,获得30
5秒前
科研通AI6.2应助XFF采纳,获得10
6秒前
8秒前
传奇3应助春日午后采纳,获得10
8秒前
9秒前
Carrie完成签到,获得积分10
9秒前
爆米花应助单纯的手机采纳,获得10
12秒前
12秒前
霖晚完成签到 ,获得积分10
14秒前
14秒前
甜蜜寻琴完成签到,获得积分10
16秒前
完美世界应助乙酰乙酰CoA采纳,获得10
16秒前
lalala发布了新的文献求助10
16秒前
栗Lina发布了新的文献求助30
18秒前
科研通AI6.4应助成博采纳,获得10
19秒前
可靠连虎发布了新的文献求助10
19秒前
爆米花应助秀丽人杰采纳,获得10
20秒前
kkk驳回了Orange应助
20秒前
在水一方应助寒山采纳,获得10
22秒前
22秒前
CodeCraft应助beili采纳,获得10
25秒前
思及我完成签到,获得积分20
25秒前
Requiem发布了新的文献求助10
27秒前
28秒前
28秒前
28秒前
斯文败类应助成博采纳,获得10
29秒前
29秒前
29秒前
30秒前
31秒前
Richardxu完成签到,获得积分10
31秒前
8232发布了新的文献求助10
31秒前
庄霁发布了新的文献求助10
32秒前
32秒前
Owen应助鳗鱼思真采纳,获得10
34秒前
wantingqq123完成签到,获得积分10
34秒前
我是老大应助Cornelius采纳,获得10
34秒前
34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
An Introduction to Foreign Language Learning and Teaching 750
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 500
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
煤炭地下气化渗流燃烧方法的研究 400
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 7632680
求助须知:如何正确求助?哪些是违规求助? 9207019
关于积分的说明 19746501
捐赠科研通 7201947
什么是DOI,文献DOI怎么找? 3274880
关于科研通互助平台的介绍 2436787
邀请新用户注册赠送积分活动 2271639