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自上而下数字光处理增材制造的计算流体动力学建模

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

作者信息

Moghadasi Hesam, Mollah Md Tusher, Marla Deepak, Saffari Hamid, Spangenberg Jon

机构信息

School of Mechanical Engineering, Iran University of Science and Technology (IUST), Narmak, Tehran 16846-13114, Iran.

Department of Mechanical Engineering, Technical University of Denmark, Kgs, Lyngby 2800, Denmark.

出版信息

Polymers (Basel). 2023 May 26;15(11):2459. doi: 10.3390/polym15112459.

Abstract

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.

摘要

数字光处理(DLP)作为一种光固化聚合技术,是最流行的三维(3D)打印方法之一,在该方法中,液态光固化树脂分子之间形成链以交联它们,并使用紫外线使液态树脂固化。DLP技术本质上很复杂,零件精度取决于必须根据流体(树脂)特性选择的工艺参数。在本工作中,针对自上而下的DLP光固化3D打印进行了计算流体动力学(CFD)模拟。通过所开发的模型,对流体粘度、成型部件行进速度、行进速度比(成型部件上下行进速度之比)、打印层厚度和行进距离等因素在13种不同情况下的影响进行了仔细研究,以获得流体界面的稳定时间。稳定时间描述了流体界面出现最小波动所需的时间。根据模拟结果,较高的粘度会导致打印件具有更长的稳定时间。然而,打印层中较短的稳定时间是由较高的行进速度比(TSR)引起的。与粘度和行进速度变化相比,沉降时间随TSR的变化极小。因此,随着打印层厚度的增加,可以检测到稳定时间呈下降趋势,而通过增加行进距离值,稳定时间呈现出下降模式。总的来说,结果表明选择最佳工艺参数对于获得实际效果至关重要。此外,数值模型可以帮助优化工艺参数。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff4b/10255172/5c8a94a8563b/polymers-15-02459-g001.jpg

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