Modeling of charge-mass transport in solid electrolyte-based electrochemical nanomanufacturing process

Keng Hsu, Nicholas Fang, Gautam Panikkar, Placid Ferreira

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

A numerical model was developed to capture the charge-mass transport in electrochemical nanomanufacturing processes based on mixed-conducting solid electrolyte material systems. This model was verified by the matching of numerical predictions and experimental measurements of process parameters. The model was also used to predict parameters affecting ionic current flow, and to study the temporal and spatial transport properties of solid electrolyte silver sulfide during an electrode dissolution process. Conditions in which phase separation could occur in silver sulfide were found. Enhanced transport properties due to confinement in lateral dimensions were also observed through the developed model.

Original languageEnglish (US)
Pages (from-to)60-66
Number of pages7
JournalJournal of Manufacturing Processes
Volume18
DOIs
StatePublished - Apr 1 2015

Fingerprint

Solid electrolytes
Mass transfer
Transport properties
Silver
Phase separation
Numerical models
Dissolution
Electrodes
Charge
Modeling
Sulfides

Keywords

  • Electrochemical Nanoimprint
  • Nanoimprint
  • Nanomanufacturing
  • Solid-state Electrochemical Imprint
  • Solid-State Ionics

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Management Science and Operations Research
  • Strategy and Management

Cite this

Modeling of charge-mass transport in solid electrolyte-based electrochemical nanomanufacturing process. / Hsu, Keng; Fang, Nicholas; Panikkar, Gautam; Ferreira, Placid.

In: Journal of Manufacturing Processes, Vol. 18, 01.04.2015, p. 60-66.

Research output: Contribution to journalArticle

Hsu, Keng ; Fang, Nicholas ; Panikkar, Gautam ; Ferreira, Placid. / Modeling of charge-mass transport in solid electrolyte-based electrochemical nanomanufacturing process. In: Journal of Manufacturing Processes. 2015 ; Vol. 18. pp. 60-66.
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