journal article·2023-01Open access

3D Printing and Rapid Replication of Advanced Numerically Generated Rough Surface Topographies in Numerous Polymers

Jack Perris, Charchit Kumar, Yang Xu, Manlio Tassieri, Mehmet E. Kartal, Nikolaj Gadegaard, Daniel M. Mulvihill

Advanced Engineering Materials· Volume 25· Issue 1

Abstract

An approach to rapidly produce high‐quality polymer surface topographies from numerically generated surfaces is presented. The approach uses an advanced surface generation tool to flexibly design surfaces with user‐defined topography characteristics over a large range of surface roughness. Roughness instances with root mean square roughness 25, 50, and 100 μm are studied. 3D printing is used to create a master surface and polymer casting and injection molding are employed to enable rapid replication in various polymers. The cross‐correlation ratio (CCR) and a mean difference approach were used to assess replication quality. Injection molding provides high throughput with high replication quality up to CCR ≈ 0.74. While casting in low‐viscosity polymer resins enables slightly improved high‐quality replication (CCR up to ≈0.82) with reduced throughput. Key results include the ability of the 3D‐printed surfaces to replicate tailored variations in surface topography (e.g., amplitude and frequency) and the importance of low viscosity resins in maximizing replication quality in polymer casting. Several interfacial and surface phenomena (both mechanical and biological) are sensitive to surface roughness. The main application lies in providing a valuable tool for research looking at topography influencing phenomena ranging from friction and lubrication to aerodynamic drag, algae growth, and cell growth.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Additive Manufacturing and 3D Printing Technologies · Adhesion, Friction, and Surface Interactions · 3D Printing in Biomedical Research

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

James Watt School of Engineering University of Glasgow Glasgow G12 8QQ UK

School of Mechanical Engineering Hefei University of Technology Hefei 230009 China

School of Engineering University of Aberdeen Aberdeen AB24 3UE UK

Funding

Leverhulme Trust · Norges Forskningsråd

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