A novel integrated process-performance model for laser welding of multi-layer battery foils and tabs

焊接 堆栈(抽象数据类型) 材料科学 激光束焊接 激光器 机械工程 有限元法 点焊 流离失所(心理学) 计算流体力学 图层(电子) 结构工程 工程类 复合材料 光学 计算机科学 航空航天工程 物理 程序设计语言 心理治疗师 心理学
作者
Shardul Kamat,Wayne Cai,Teresa J. Rinker,Jennifer Bracey,Xi Liang,Wenda Tan
出处
期刊:Journal of Materials Processing Technology [Elsevier]
卷期号:320: 118121-118121 被引量:6
标识
DOI:10.1016/j.jmatprotec.2023.118121
摘要

In this work, a novel, integrated multi-physics process-performance modeling approach for multi-layered copper laser welds is developed and validated. A new Reduced Fluid Fraction Region (RFFR) method for modeling the laser welding of thin foils stack-ups with air gaps has been created as part of this approach. The approach consists of two modeling steps, both of which are experimentally validated. First, the laser welding process was predicted using a Computational Fluid Dynamics (CFD) model, the results of which were validated against laser weld dimensions from experiments. Second, the structural performance of the CFD simulated welds was predicted using a Finite Element Analysis (FEA) model, the results of which were validated against lap-shear force-displacement results of experimental welds. Two stack-ups, i.e., tab-tab (two 0.2 mm thick Cu tabs) and foils-tab (30 layers of 9 μm thick Cu foils and one 0.2 mm thick Cu tab), served as test cases and were simulated and validated for a variation of laser welding process parameters. Results demonstrated that predictions of both stack-ups matched experiments well, in terms of the weld dimensions, force-displacement response, failure mode, and the presence of weld undercuts. The results of this work enable the simulation of multi-layer stack-ups with thin foils by tackling the problem of air gaps in laser welding. These simulations also enhance the understanding of mechanisms behind the laser welding process and weld performance and have important applications in endeavors such as the design and manufacturing of battery electric vehicles.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
三月聚粮应助StevenCai采纳,获得20
1秒前
缓慢山柳完成签到,获得积分10
1秒前
大花猫完成签到,获得积分10
2秒前
佟韩完成签到,获得积分10
2秒前
2秒前
4秒前
英俊的铭应助xiaozeze采纳,获得10
5秒前
zw驳回了mhl11应助
7秒前
慕青应助稚于采纳,获得10
7秒前
7秒前
调研昵称发布了新的文献求助10
8秒前
拓跋太英发布了新的文献求助10
8秒前
阳光的寒凡完成签到 ,获得积分10
9秒前
淡然面包发布了新的文献求助10
11秒前
FashionBoy应助文艺寄灵采纳,获得10
12秒前
cctv18应助清脆一德采纳,获得10
12秒前
13秒前
黎明发布了新的文献求助10
15秒前
斯文忆梅完成签到,获得积分10
16秒前
faker发布了新的文献求助10
17秒前
烟花应助淡然面包采纳,获得10
17秒前
SnEBiotech完成签到,获得积分10
19秒前
20秒前
20秒前
23秒前
我是老大应助稳重的若雁采纳,获得10
23秒前
张姐发布了新的文献求助10
24秒前
26秒前
科研通AI2S应助faker采纳,获得10
28秒前
29秒前
走四方发布了新的文献求助10
29秒前
因几发布了新的文献求助20
29秒前
黎明完成签到,获得积分10
29秒前
xuening完成签到,获得积分10
31秒前
33秒前
34秒前
ZH完成签到 ,获得积分10
36秒前
蜂蜜罐头发布了新的文献求助10
36秒前
CipherSage应助楠楠采纳,获得10
36秒前
36秒前
高分求助中
Licensing Deals in Pharmaceuticals 2019-2024 3000
Cognitive Paradigms in Knowledge Organisation 2000
Mantiden: Faszinierende Lauerjäger Faszinierende Lauerjäger Heßler, Claudia, Rud 1000
PraxisRatgeber: Mantiden: Faszinierende Lauerjäger 1000
Natural History of Mantodea 螳螂的自然史 1000
A Photographic Guide to Mantis of China 常见螳螂野外识别手册 800
How Maoism Was Made: Reconstructing China, 1949-1965 800
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 内科学 物理 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 免疫学 细胞生物学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 3322268
求助须知:如何正确求助?哪些是违规求助? 2953558
关于积分的说明 8566044
捐赠科研通 2631115
什么是DOI,文献DOI怎么找? 1439660
科研通“疑难数据库(出版商)”最低求助积分说明 667171
邀请新用户注册赠送积分活动 653598