Computational Fluid Dynamics Modeling of Top-Down Digital Light Processing Additive Manufacturing

粘度 计算流体力学 材料科学 理论(学习稳定性) 数字光处理 工作(物理) 过程(计算) 图层(电子) 沉淀 沉降时间 计算机科学 机械 复合材料 机械工程 光学 物理 工程类 热力学 投影机 控制工程 机器学习 阶跃响应 操作系统
作者
Hesam Moghadasi,Md. Tusher Mollah,Deepak Marla,Hamid Saffari,Jon Spangenberg
出处
期刊:Polymers [Multidisciplinary Digital Publishing Institute]
卷期号:15 (11): 2459-2459 被引量:1
标识
DOI:10.3390/polym15112459
摘要

Digital light processing (DLP) as a vat photopolymerization technique is one of the most popular three-dimensional (3D) printing methods, where chains are formed between liquid photocurable resin molecules to crosslink them and solidify the liquid resin using ultraviolet light. The DLP technique is inherently complex and the part accuracy depends on the process parameters that have to be chosen based on the fluid (resin) properties. In the present work, computational fluid dynamics (CFD) simulations are presented for top-down DLP as photocuring 3D printing. The effects of fluid viscosity, travelling speed of build part, travelling speed ratio (ratio of the up-to-down traveling speeds of build part), printed layer thickness, and travel distance considering 13 various cases are scrutinized by the developed model to obtain a stability time of fluid interface. The stability time describes the time it takes for the fluid interface to show minimum fluctuations. According to the simulations, a higher viscosity leads to prints with higher stability time. However, lower stability times in the printed layers are caused by a higher traveling speed ratio (TSR). The variation in settling times with TSR is extremely small in comparison to that of viscosity and travelling speed variations. As a result, a declining trend can be detected for the stability time by increasing the printed layer thickness, while by enhancing the travel distance values, the stability time demonstrated a descending pattern. In total, it was revealed that it is essential to choose optimal process parameters for achieving practical results. Moreover, the numerical model can assist in the optimizing the process parameters.

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
Jasper应助renpp采纳,获得10
刚刚
Hot发布了新的文献求助10
刚刚
zx发布了新的文献求助10
刚刚
科研通AI6.4应助郭正霄采纳,获得10
1秒前
852应助素爱呆了采纳,获得30
1秒前
stz发布了新的文献求助30
2秒前
2秒前
乐乐应助shy采纳,获得10
3秒前
木颜完成签到 ,获得积分10
3秒前
姜沄沄发布了新的文献求助10
3秒前
4秒前
5秒前
律笺文完成签到,获得积分10
5秒前
ruiwing完成签到,获得积分10
6秒前
abou完成签到 ,获得积分10
6秒前
6秒前
6秒前
6秒前
mads完成签到,获得积分10
7秒前
柠檬糖发布了新的文献求助10
8秒前
乐乐应助julia采纳,获得10
8秒前
8秒前
8秒前
8秒前
律笺文发布了新的文献求助10
9秒前
端庄梦桃发布了新的文献求助10
9秒前
FFFFFFG完成签到,获得积分10
10秒前
10秒前
bhcs发布了新的文献求助50
11秒前
yyy发布了新的文献求助10
11秒前
寒冷的天寿完成签到,获得积分20
11秒前
12秒前
FashionBoy应助专注的祥采纳,获得10
12秒前
13秒前
abour完成签到,获得积分10
13秒前
孙朱珠发布了新的文献求助10
13秒前
UIAU应助linger采纳,获得10
13秒前
13秒前
帅过吴彦祖完成签到,获得积分10
13秒前
Orange应助炙热行云采纳,获得10
13秒前
高分求助中
液晶指向矢仿真分析数据集 8888
GL 2 A method for assessing the in-place cleanability of food processing equipment, Fourth Edition, December 2023 3000
Invited Discussant 63O and 64O 1000
Ideology and Meaning-Making under the Putin Regime 750
Advanced Memory Technology 500
Petrology and Plate Tectonics 500
Writing Systems 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 计算机科学 化学工程 生物化学 物理 内科学 复合材料 催化作用 光电子学 物理化学 电极 细胞生物学 基因 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 6861634
求助须知:如何正确求助?哪些是违规求助? 8565081
关于积分的说明 18213175
捐赠科研通 6228116
什么是DOI,文献DOI怎么找? 3047787
关于科研通互助平台的介绍 2048139
邀请新用户注册赠送积分活动 2025412