Versatile Patterning of Liquid Metal via Multiphase 3D Printing
Abstract: This paper presents a scalable and straightforward technique for the immediate patterning of liquid metal/polymer composites via multiphase 3D printing. Capitalizing on the polymer's capacity to confine liquid metal (LM) into diverse patterns. The interplay between distinctive fluidic properties of liquid metal and its self‐passivating oxide layer within an oxidative environment ensures a resilient interface with the polymer matrix. This study introduces an inventive approach for achieving versatile patterns in eutectic gallium indium (EGaIn), a gallium alloy. The efficacy of pattern formation hinges on nozzle's design and internal geometry, which govern multiphase interaction. The interplay between EGaIn and polymer within the nozzle channels, regulated by variables such as traverse speed and material flow pressure, leads to periodic patterns. These patterns, when encapsulated within a dielectric polymer polyvinyl alcohol (PVA), exhibit an augmented inherent capacitance in capacitor assemblies. This discovery not only unveils the potential for cost‐effective and highly sensitive capacitive pressure sensors but also underscores prospective applications of these novel patterns in precise motion detection, including heart rate monitoring, and comprehensive analysis of gait profiles. The amalgamation of advanced materials and intricate patterning techniques presents a transformative prospect in the domains of wearable sensing and comprehensive human motion analysis.
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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Versatile Patterning of Liquid Metal via Multiphase 3D Printing ; day:08 ; month:06 ; year:2024 ; extent:15
Small ; (08.06.2024) (gesamt 15)
- Urheber
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Patil, Dhanush
Liu, Siying
Ravichandran, Dharneedar
Thummalapalli, Sri Vaishnavi
Zhu, Yuxiang
Tang, Tengteng
Golan, Yuval
Miquelard‐Garnier, Guillaume
Asadi, Amir
Li, Xiangjia
Chen, Xiangfan
Song, Kenan
- DOI
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10.1002/smll.202402432
- URN
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urn:nbn:de:101:1-2406081426200.835813598775
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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14.08.2025, 10:58 MESZ
Datenpartner
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Patil, Dhanush
- Liu, Siying
- Ravichandran, Dharneedar
- Thummalapalli, Sri Vaishnavi
- Zhu, Yuxiang
- Tang, Tengteng
- Golan, Yuval
- Miquelard‐Garnier, Guillaume
- Asadi, Amir
- Li, Xiangjia
- Chen, Xiangfan
- Song, Kenan
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