Title :
Online defect detection in layered manufacturing using process signature
Author :
Fang, Tong ; Jafari, Mohsen A. ; Bakhadyrov, Izzat ; Safari, Ahmad ; Danforth, Stephen ; Langrana, Noshir
Author_Institution :
Dept. of Ind. Eng., Rutgers Univ., Piscataway, NJ, USA
Abstract :
This paper presents the concept of process signature for the use of online defect detection in layered manufacturing. To achieve the high quality of parts built by the fused deposition of ceramics, an online process monitoring system is implemented to detect the processing defects. Using the process signature extracted from the original image captured by the monitoring system, an expected image is created which is then compared to the original image to detect and identify the defects
Keywords :
automatic optical inspection; ceramic industry; computer vision; feature extraction; image matching; manufacturing processes; process monitoring; real-time systems; defect detection; feature extraction; fused deposition of ceramics; image matching; image texture; inspection; layered manufacturing; process monitoring; process signature extraction; real time systems; Ceramics; Fabrication; Hardware; Industrial engineering; Layered manufacturing; Manufacturing processes; Mechanical engineering; Monitoring; Open loop systems; Prototypes;
Conference_Titel :
Systems, Man, and Cybernetics, 1998. 1998 IEEE International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-4778-1
DOI :
10.1109/ICSMC.1998.727536