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

Author:

Moghadasi Hesam12ORCID,Mollah Md Tusher2ORCID,Marla Deepak3ORCID,Saffari Hamid1ORCID,Spangenberg Jon2

Affiliation:

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

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

3. Department of Mechanical Engineering, Indian Institute of Bombay, Mumbai 400076, India

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.

Funder

Independent Research Fund Denmark

Publisher

MDPI AG

Subject

Polymers and Plastics,General Chemistry

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