Image processing plume fluence for superconducting thin-film depositions

J. G. Jones, R. R. Biggers, J. D. Busbee, D. V. Dempsey, G. Kozlowski

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Process control is a crucial element in all deposition techniques. It is especially elusive in the versatile and efficient deposition technique known as pulsed-laser-deposition (PLD). Image processed emissions from the plume of a YBa2Cu3O/sub 7-x/ (YBCO) target are monitored in situ to determine two dimensional spatial information about the plume. Manual and fuzzy-logic based regulation of laser energy based on this plume emission feedback resulted in improved film quality and repeatability of the PLD thin-film depositions. Imaging of the plume under various deposition conditions, both with and without process control, will help to improve understanding of the effect of changing environmental conditions on the plume characteristics.
Original languageEnglish
Title of host publicationProceedings of the 2nd International Conference on Intelligent Processing and Manufacturing of Materials, IPMM 1999
EditorsMarcello M. Veiga, John A. Meech, Michael H. Smith, Steven R. LeClair
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1317-1320
Number of pages4
Volume2
ISBN (Electronic)9780780354890
ISBN (Print)0-7803-5489-3
DOIs
StatePublished - 1999
Event2nd International Conference on Intelligent Processing and Manufacturing of Materials, IPMM 1999 - Honolulu, United States
Duration: Jul 10 1999Jul 15 1999

Conference

Conference2nd International Conference on Intelligent Processing and Manufacturing of Materials, IPMM 1999
Country/TerritoryUnited States
CityHonolulu
Period7/10/997/15/99

ASJC Scopus Subject Areas

  • Industrial and Manufacturing Engineering
  • Materials Science (miscellaneous)

Keywords

  • Control non-linearities
  • Fuzzy logic
  • Image processing
  • Process control
  • Process identification
  • Superconducting thin films
  • Sputtering
  • Logic

Disciplines

  • Materials Science and Engineering
  • Engineering Physics
  • Artificial Intelligence and Robotics

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