Automated Quantitative Inspection Of Metal Castings From X-Ray Film Images

Andrew A. Tvirbutas; Charles A. McPherson

doi:10.1117/12.942849

22 March 1988 Automated Quantitative Inspection Of Metal Castings From X-Ray Film Images

Andrew A. Tvirbutas, Charles A. McPherson

Proceedings Volume 0849, Automated Inspection and High-Speed Vision Architectures; (1988) https://doi.org/10.1117/12.942849
Event: Advances in Intelligent Robotics Systems, 1987, Cambridge, CA, United States

Abstract

An accepted and widely used method of inspecting cast metal parts involves a visual interpretation of X-ray film by a qualified radiographer. The defective areas of the cast-ing are compared to a set of reference standards, and a casting grade is assigned. This method of quality assessment is often to crude for modern applications. An automated inspection technique is presented which provides a quantitative assessment of casting qual-ity. The quantified results of the inspection are advantageous in providing information which can be used to establish an acceptance criterion that can be directly related to part performance. Careful control of geometry, exposure parameters, and inclusion of a calibration wedge during radiography enable calibrated, quantitative analysis of the defective area to be performed. Level preserved smoothing is introduced as a method of smoothing the digitized radiograph while retaining thickness calibration. This technique combined with region labeling, allows the x, y, and z dimensions of individual defects to be measured and defect statistics to be generated. A discussion of a CAD model data to reduce the number of required radiographic views of a part in accurate defect measurement is also pursued.

Citation Download Citation

Andrew A. Tvirbutas and Charles A. McPherson "Automated Quantitative Inspection Of Metal Castings From X-Ray Film Images", Proc. SPIE 0849, Automated Inspection and High-Speed Vision Architectures, (22 March 1988); https://doi.org/10.1117/12.942849

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