Imaging · dataset · 2025
Data Collection: Electrohydrodynamic redox printing vs magnetron sputtering: Enhancing hardness of nanoporous silver with twinning and structural order
Listed in ETH Zürich Research Collection
Nanoporous (np) metals are used for a variety of applications including actuators, catalysts, and sensors. 3D printing enabled multi-functional design offers a pathway for enhancing performance in these applications.
Description
Electrohydrodynamic redox printing (EHD-RP), is a high resolution additive manufacturing technique which can produce complex 3D metal alloys that allows for the fabrication of np metal structures. To determine the influence of this additive manufacturing process on the mechanical properties, we compare EHD-RP derived np-Ag to films made via magnetron sputtering.
Samples fabricated by EHD-RP exhibit higher hardness than sputtered films for similar relative densities as demonstrated with nanoindentation. To explain these differences we used FIB-tomography to quantify structural features in the np networks including ligament width, relative density, connectivity, and topology. Materials factors like twin density and grain size were investigated using STEM analysis.
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Together, the higher twin density and more ordered network structure found in EHD-RP explain the enhanced mechanical behaviour of np-Ag and highlight a key opportunity for additive manufacturing to enhance both materials and structural design in np networks.
Links
Where it is published
- ETH Zürich Research Collection record hdl.handle.net/20.500.11850/789283 ↗
landing page · from research collection ethz ch
- DOI doi.org/10.3929/ethz-c-000789283 ↗
DOI / persistent id · from research collection ethz ch
Catalogue records · 1
- OAI-PMH record research-collection.ethz.ch/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Awww.… ↗
metadata API · from research collection ethz ch
Topics
- From keywords
- Chemistry · Computer Science & AI · Earth & Environmental Science · Economics & Finance · Engineering · Humanities · Life Sciences · Materials Science · Mathematics & Statistics · Medicine & Health · Physics · Psychology & Behavioral Science · Social Science
- Inferred from text
- Nanotechnology 71%
Provenance · 1 source records, 19 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ETH Zürich Research Collection | oai:www.research-collection.ethz.ch:20.500.11850/789283 | 9 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · research collection ethz ch | connector:research_collection_ethz_ch@1.0.0 | |
| concepts[field].anzsrc:group:4018 | enrichment · research collection ethz ch | taxonomy-embedding@1.0.0 | title+keywords+description (71%) |
| concepts[field].local:field:chemistry | mapping · research collection ethz ch | connector:research_collection_ethz_ch@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · research collection ethz ch | connector:research_collection_ethz_ch@1.0.0 | |
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| concepts[field].local:field:life-sciences | mapping · research collection ethz ch | connector:research_collection_ethz_ch@1.0.0 | |
| concepts[field].local:field:materials-science | mapping · research collection ethz ch | connector:research_collection_ethz_ch@1.0.0 | |
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| concepts[field].local:field:psychology-behavioral | mapping · research collection ethz ch | connector:research_collection_ethz_ch@1.0.0 | |
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| publication_date | source · research collection ethz ch | connector:research_collection_ethz_ch@1.0.0 | |
| title | source · research collection ethz ch | connector:research_collection_ethz_ch@1.0.0 | /metadata/dc/title |