Micro-flow investigation on laying process in Al2O3 stereolithography forming

机械 格子Boltzmann方法 流量(数学) 立体光刻 流线、条纹线和路径线 流变学 牛顿流体 涡流 流速 过程(计算) 机械工程 物理 材料科学 复合材料 计算机科学 工程类 操作系统
作者
Weiwei Wu,Ding Xu,Shuang Ding,Yanjun Zhang,Tang Bing,Binquan Shi
出处
期刊:Physics of Fluids [American Institute of Physics]
卷期号:35 (3) 被引量:2
标识
DOI:10.1063/5.0141852
摘要

When printing Al2O3 parts by stereolithography technology, the laying process is an extremely important part. In the current work, the referred flow analysis was numerically investigated. The rheological behavior was measured to determine the rheological type of the slurry. According to the fitting analysis, a Sisko model was available to describe the non-Newtonian behavior. Then, the modified multiple relaxation time lattice Boltzmann method was proposed and validated to effectively improve the stability of the simulation. Based on the proposed method, the situations without and with printed solids in the previous layer were investigated by a series of simulations. The laying velocity and layer thickness were considered as two important factors on the laying process. When the situation without printed solids in the previous layer is analyzed, the streamlines and flow velocities curves were almost horizontal. With different laying velocities, the flow velocities show obvious differences at the same thickness. With different layer thicknesses, the difference is mainly embodied in the vertical velocity component. When the printed solid is considered, the solid seriously affected the smooth flow. The vortices appeared near the printed solid, which also caused the disturbance in both horizontal and vertical velocity components. The mentioned interfering factors indicated different actions on the flow. The research will contribute to understanding the flow of the laying process. It can help to select suitable laying velocity and layer thickness to avoid severe flow velocity fluctuation and redundant vertical velocity components.

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
CPUPPer发布了新的文献求助10
3秒前
5秒前
5秒前
完美凝海完成签到 ,获得积分10
6秒前
7秒前
7秒前
celinewu完成签到,获得积分10
8秒前
有归完成签到,获得积分20
10秒前
10秒前
陌路发布了新的文献求助10
10秒前
10秒前
10秒前
王书妍发布了新的文献求助10
11秒前
Hh发布了新的文献求助30
12秒前
科研通AI6.4应助崔伟采纳,获得10
12秒前
tszjw168发布了新的文献求助10
14秒前
15秒前
呼呼呼发布了新的文献求助10
16秒前
16秒前
天天快乐应助kururu采纳,获得10
16秒前
无奈的迎天完成签到,获得积分10
17秒前
17秒前
烟花应助陌路采纳,获得10
18秒前
19秒前
希望天下0贩的0应助Jim采纳,获得10
20秒前
科研通AI6.1应助王书妍采纳,获得10
20秒前
williamwzt完成签到,获得积分10
20秒前
sunfengbbb发布了新的文献求助10
21秒前
22秒前
科研通AI6.4应助泊远轩采纳,获得30
22秒前
22秒前
zsj发布了新的文献求助10
24秒前
大梦想家完成签到,获得积分10
25秒前
岳莹晓完成签到 ,获得积分10
25秒前
27秒前
27秒前
Jim完成签到,获得积分20
29秒前
阿里发布了新的文献求助10
29秒前
29秒前
xiantao完成签到,获得积分10
30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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Mass participant sport event brand associations: an analysis of two event categories 500
Photodetectors: From Ultraviolet to Infrared 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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6354890
求助须知:如何正确求助?哪些是违规求助? 8170067
关于积分的说明 17198597
捐赠科研通 5410877
什么是DOI,文献DOI怎么找? 2864148
邀请新用户注册赠送积分活动 1841683
关于科研通互助平台的介绍 1690112