ISSN: 0090-3973
Page Count: 6

Morphological Structures in Analysis and Inspection of Hole Quality in Fiber Composites
Griswold, NC
Associate Professor, Texas A&M University, TX

Massarweh, WA
Graduate Student, Texas A&M University, TX

Hough, CL
Associate Professor, Texas A&M University, TX

(Received 16 July 1988; accepted 30 January 1989)

Abstract

Use of vision systems for evaluating hole quality in fiber composites is gaining acceptance. As cost of production becomes increasingly critical, manufacturers are seeking methods for production which have high speed through-put and are less computationally intensive. The solution to these types of dilemmas is in the algorithm structure as opposed to simply more computing power. This paper presents algorithms for high quality evaluation of composite machining and drill wear. This research applies mathematical morphology as an image processing construct and demonstrates its utility by evaluating several drilling operations with fiber composites. It is concluded that this method allows higher through-put and less cost of checking holes during the machining process. The algorithm's structure is implementable on most personal computers compatible with the IBM PC-AT class.

Keywords:
fiber composites, inspection, computer vision, pattern recognition, morphological filtering

Paper ID: JTE11129J
DOI: 10.1520/JTE11129J
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