Abstract

In this paper, a state of the art automated defect recognition (ADR) system is presented that was developed specifically for Non-Destructive Testing (NDT) of powder metallurgy (PM) parts using three dimensional X-ray Computed Tomography (CT) imaging, towards enabling online quality assurance and enhanced integrity confidence. PM parts exhibit typical defects such as microscopic cracks, porosity, and voids, internal to components that without an effective detection system, limit the growth of industrial applications. Compared to typical testing methods (e.g., destructive such as metallography that is based on sampling, cutting, and polishing of parts), CT provides full coverage of defect detection. This paper establishes the importance and advantages of an automated NDT system for the PM industry applications with particular emphasis on image processing procedures for defect recognition. Moreover, the article describes how to establish a reference library based on real 3D X-ray CT images of net-shape parts. The paper follows the development of the ADR system from processing 2D image slices of a measured 3D X-ray image to processing the complete 3D X-ray image as a whole. The introduced technique is successfully integrated into an automated in-line quality control system highly sought by major industry sectors in Oil and Gas, Automotive, and Aerospace.

Highlights

  • Net-shape parts of typically intricate and complex shapes obtained by powder metallurgy and additive manufacturing (AM) are employed in several key mass industry sectors, especially automotive, aerospace and medical

  • As the final step in the process, the automated defect recognition (ADR) system enhances the quality of the 3D Computed Tomography (CT) image in order to highlight the areas of potential defects

  • Real CT images are processed with the procedure shown above

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Summary

Introduction

Net-shape parts of typically intricate and complex shapes obtained by powder metallurgy and additive manufacturing (AM) are employed in several key mass industry sectors, especially automotive, aerospace and medical. Their use is growing rapidly in preference to conventional casting because most PM processes produce parts in the desired precise final shape with little or no further machining requirement. A significant drawback, is that following powder compaction, unwanted features like porosity (Figure 1) and cracks (Figure 2) in the microstructure, may remain [3,4] which can survive into the sintering phase, developing into critical flaws and defects.

Powder part by in
Powder
Computed Tomography in Comparison with Destructive Testing Methods
Structure of Defect Image Library and CT Simulation
For simplicity and and
Image Processing Procedure
Image Registration and Subtraction
Image Segmentation
Morphological
Results
Configuration parameters
Automated
Conclusions
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