Large‐Scale, Abrasion‐Resistant, and Solvent‐Free Superhydrophobic Objects Fabricated by a Selective Laser Sintering 3D Printing Strategy

Abstract: Manufacturing abrasion‐resistant superhydrophobic matters is challenging due to the fragile feature of the introduced micro‐/nanoscale surface roughness. Besides the long‐term durability, large scale at meter level, and 3D complex structures are of great importance for the superhydrophobic objects used across diverse industries. Here it is shown that abrasion‐resistant, half‐a‐meter scaled superhydrophobic objects can be one‐step realized by the selective laser sintering (SLS) 3D printing technology using hydrophobic‐fumed‐silica (HFS)/polymer composite grains. The HFS grains serve as the hydrophobic guests while the sintered polymeric network provides the mechanical strength, leading to low‐adhesion, intrinsic superhydrophobic objects with desired 3D structures. It is found that as‐printed structures remained anti‐wetting capabilities even after undergoing different abrasion tests, including knife cutting test, rude file grinding test, 1000 cycles of sandpaper friction test, tape test and quicksand impacting test, illustrating their abrasion‐resistant superhydrophobic stability. This strategy is applied to manufacture a shell of the unmanned aerial vehicle and an abrasion‐resistant superhydrophobic shoe, showing the industrial customization of large‐scale superhydrophobic objects. The findings thus provide insight for designing intrinsic superhydrophobic objects via the SLS 3D printing strategy that might find use in drag‐reduce, anti‐fouling, or other industrial fields in harsh operating environments.

Location
Deutsche Nationalbibliothek Frankfurt am Main
Extent
Online-Ressource
Language
Englisch

Bibliographic citation
Large‐Scale, Abrasion‐Resistant, and Solvent‐Free Superhydrophobic Objects Fabricated by a Selective Laser Sintering 3D Printing Strategy ; day:20 ; month:01 ; year:2023 ; extent:7
Advanced science ; (20.01.2023) (gesamt 7)

Creator
Wu, Zhenhua
Shi, Congcan
Chen, Aotian
Li, Yike
Chen, Shuang
Sun, Dong
Wang, Changshun
Liu, Zhufeng
Wang, Qi
Huang, Jianyu
Yue, Yamei
Zhang, Shanfei
Liu, Zichuan
Xu, Yizhuo
Su, Jin
Zhou, Yan
Wen, Shifeng
Yan, Chunze
Shi, Yusheng
Deng, Xu
Jiang, Lei
Su, Bin

DOI
10.1002/advs.202207183
URN
urn:nbn:de:101:1-2023012114052323684842
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
15.08.2025, 7:33 AM CEST

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Associated

  • Wu, Zhenhua
  • Shi, Congcan
  • Chen, Aotian
  • Li, Yike
  • Chen, Shuang
  • Sun, Dong
  • Wang, Changshun
  • Liu, Zhufeng
  • Wang, Qi
  • Huang, Jianyu
  • Yue, Yamei
  • Zhang, Shanfei
  • Liu, Zichuan
  • Xu, Yizhuo
  • Su, Jin
  • Zhou, Yan
  • Wen, Shifeng
  • Yan, Chunze
  • Shi, Yusheng
  • Deng, Xu
  • Jiang, Lei
  • Su, Bin

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