Superhydrophobic surface processing for selective laser melting of metal parts

Wuji Huang; Benjamin Nelson; Ryan Mullennex; Dariush Kokabi; Haiyang Hu; Chukwudum Eluchie; Hui Hu; Avik Samanta; Hongtao Ding

doi:10.1016/j.procir.2022.03.065

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Superhydrophobic surface processing for selective laser melting of metal parts

Journal article

Open access

Peer reviewed

Superhydrophobic surface processing for selective laser melting of metal parts

Wuji Huang, Benjamin Nelson, Ryan Mullennex, Dariush Kokabi, Haiyang Hu, Chukwudum Eluchie, Hui Hu, Avik Samanta and Hongtao Ding

Procedia CIRP, Vol.108, pp.418-423

2022

DOI: 10.1016/j.procir.2022.03.065

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https://doi.org/10.1016/j.procir.2022.03.065View

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Abstract

Surface modification has been extensively applied to metal alloys to achieve extraordinary surface wettability for a wide range of applications. However, only limited research has been done on the surface wettability modification of 3D-printed metal parts. In this study, AlSi10Mg and Ti6Al4V parts fabricated using selective laser melting (SLM) were functionalized with silane reagent. With the assist of laser texturing or not, the surface showed different wetting behaviors, as the surfaces only treated by chemical solutions showed higher water adhesion (rose petal effect), while the surfaces gone through laser texturing exhibited lower water adhesion (lotus effect). The formation mechanism of the different wetting regimes was investigated. The results showed that the surface topography played an important role in determination of the wetting behavior. By applying surface topography parameters including Sa, Spc, and Sdr, the distinction in terms of surface topography between the surfaces with petal effect and lotus effect was quantitatively described.

laser surface texturing

lotus effect

rose petal effect

Selective laser melting

superhydrophobic

Details

Title: Subtitle: Superhydrophobic surface processing for selective laser melting of metal parts
Creators: Wuji Huang - University of Iowa
Benjamin Nelson - Department of Mechanical Engineering, University of Iowa, Iowa City, IA 52242, USA
Ryan Mullennex - Department of Mechanical Engineering, University of Iowa, Iowa City, IA 52242, USA
Dariush Kokabi - Department of Mechanical Engineering, University of Iowa, Iowa City, IA 52242, USA
Haiyang Hu - Iowa State University
Chukwudum Eluchie - Iowa State University
Hui Hu - Iowa State University
Avik Samanta - Pacific Northwest National Laboratory
Hongtao Ding - Department of Mechanical Engineering, University of Iowa, Iowa City, IA 52242, USA
Resource Type: Journal article
Publication Details: Procedia CIRP, Vol.108, pp.418-423
DOI: 10.1016/j.procir.2022.03.065
ISSN: 2212-8271
eISSN: 2212-8271
Publisher: Elsevier B.V
Grant note: DOI: 10.13039/100000001, name: National Science Foundation, award: CMMI-1762353; DOI: 10.13039/100003187, name: NSF
Language: English
Date published: 2022
Academic Unit: IIHR--Hydroscience and Engineering; Mechanical Engineering
Record Identifier: 9984264760102771

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