Signature analysis and defect detection in layered manufacturing of ceramic sensors and actuators

Tong Fang, Mohsen A. Jafari, Stephen C. Danforth, Ahmad Safari

Research output: Contribution to journalArticlepeer-review

46 Scopus citations

Abstract

This paper presents the concept of a process signature for the use of online signature analysis and defect detection in the layered manufacturing (LM) of ceramic sensors and actuators. To achieve the high quality of parts built by the fused deposition of ceramics (FDC), an online process-monitoring system is implemented to detect the processing defects. Using a process signature extracted from the image of a layer captured by the monitoring system, an ideal image is created that is then compared to the original image to detect and identify the defects. Some results of signature analysis and defect detection for single-material and multi-material parts are also presented.

Original languageEnglish (US)
Pages (from-to)63-75
Number of pages13
JournalMachine Vision and Applications
Volume15
Issue number2
DOIs
StatePublished - Dec 2003

All Science Journal Classification (ASJC) codes

  • Software
  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Computer Science Applications

Keywords

  • Defect detection
  • Fused deposition of ceramics
  • Inspection system
  • Layered manufacturing
  • Signature analysis

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