"In-process monitoring and prediction of droplet quality in ..."

Aniruddha Gaikwad et al. (2022)

> Home

Details and statistics

DOI: 10.1007/S10845-022-01977-2

access: open

type: Journal Article

metadata version: 2023-02-24

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/jim/GaikwadCGWMPSR22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/jim/GaikwadCGWMPSR22
Aniruddha Gaikwad, Tammy Chang, Brian Giera, Nicholas W. Watkins, Saptarshi Mukherjee, Andrew Pascall, David Stobbe, Prahalada Rao:
In-process monitoring and prediction of droplet quality in droplet-on-demand liquid metal jetting additive manufacturing using machine learning. J. Intell. Manuf. 33(7): 2093-2117 (2022)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.