Zur Hauptnavigation wechseln Zur Suche wechseln Zum Hauptinhalt wechseln

Practical Assessment of Payload- Header Switching in Microfluidic Networks

  • Medina Hamidović
  • , Gerold Fink
  • , Robert Wille
  • , Andreas Springer
  • , Werner Haselmayr
  • Johannes Kepler University Linz

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

1 Zitat (Scopus)

Abstract

To this date, microfluidic networks have been dominantly evaluated theoretically, with very few existing experimental proofs to validate the proposed concepts. In this work, we focus on practical assessment of the crucial part of such networks-microfluidic switching. This way, we aim at closing the existing gap between theory and practice. In particular, we practically realize and investigate payload-header switching in microfluidic networks. First, we introduce different switching mechanisms. Then, the most promising approach, mainly distance-based switching is practically evaluated. Finally, the switching method is discussed and assessed. Channel noise effects, such as interdroplet distance reduction are also discussed and experimentally evaluated.

OriginalspracheEnglisch
TitelProceedings of the 8th ACM International Conference on Nanoscale Computing and Communication, NANOCOM 2021
Herausgeber (Verlag)Association for Computing Machinery, Inc
ISBN (elektronisch)9781450387101
DOIs
PublikationsstatusVeröffentlicht - 7 Sept. 2021
Extern publiziertJa
Veranstaltung8th ACM International Conference on Nanoscale Computing and Communication, NANOCOM 2021 - Virtual, Online, Italien
Dauer: 7 Sept. 20219 Sept. 2021

Publikationsreihe

NameProceedings of the 8th ACM International Conference on Nanoscale Computing and Communication, NANOCOM 2021

Konferenz

Konferenz8th ACM International Conference on Nanoscale Computing and Communication, NANOCOM 2021
Land/GebietItalien
OrtVirtual, Online
Zeitraum7/09/219/09/21

Fingerprint

Untersuchen Sie die Forschungsthemen von „Practical Assessment of Payload- Header Switching in Microfluidic Networks“. Zusammen bilden sie einen einzigartigen Fingerprint.

Dieses zitieren