Fabrication of micro-structured surfaces by additive manufacturing, with simulation of dynamic contact angle

被引:28
|
作者
Davoudinejad, Ali [1 ]
Cai, Yukui [2 ]
Pedersen, David Bue [1 ]
Luo, Xichun [2 ]
Tosello, Guido [1 ]
机构
[1] Tech Univ Denmark, Dept Mech Engn, Bldg 427 A, DK-2800 Lyngby, Denmark
[2] Univ Strathclyde, DMEM, Ctr Precis Mfg, Glasgow, Lanark, Scotland
基金
英国工程与自然科学研究理事会; 欧盟地平线“2020”;
关键词
Additive manufacturing; Microstructure surfaces; Precision manufacturing; Functional surfaces; Volume of fluid; LATTICE BOLTZMANN SIMULATION; SUPERHYDROPHOBIC SURFACES; MECHANICAL-PROPERTIES; NANOSECOND LASER; DROP IMPACT; WATER; MICROSTRUCTURE; BIOMATERIALS; PARAMETERS; BEHAVIOR;
D O I
10.1016/j.matdes.2019.107839
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This work presents an Additive Manufacturing (AM) based method for production of components with micro-structured surfaces. Vat photopolymerization was used for the experiments by an AM custom-build machine at the Technical University of Denmark (DTU). Components with micro holes were printed in different sizes and the uniformity of them analyzed. Subsequently, in order to assess the functionality of the surface, the water droplet contact angle was measured to evaluate the wettability of the different components with micro holes. Itwas found that it was possible to fabricate the componentswithmicro holes using precision AMprocess. The printed substrate exhibited hydrophobicity as a hydrophilic material (intrinsic contact angle of 65 degrees). A hydrophobic surfacewas achievedwith the printed features exhibiting amaximumcontact angle of 113 degrees. Additionally, the volume of fluid (VOF) method was employed to predict the surface contact angle. The predicted results were validated by comparison against the experiments. The average value from experiments was predicted by the model. However, it was noted that the cross-sectional height profile of the structures and the surface roughness of the printed samples, were not precisely replicated as designed, which slightly affects the prediction results, though, similar prediction trend was observed. (c) 2019 Published by Elsevier Ltd.
引用
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页数:11
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