Evaluation of Aluminium Alloy (AlSi9Cu3(Fe)) Porosity by Destructive and Non-destructive Method (Computed Tomography)

Kritikos, Michaela; Kusá, Martina; Kusý, Martin

doi:10.1007/978-3-030-90421-0_15

Cited by 2 publications

(1 citation statement)

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“…In this study the porosity analyses were performed by the VGDefX porosity algorithm using 'standard' configuration settings. This porosity detection algorithm was chosen because it is well recognized method for assessing the porosity of aluminum parts [14]. However, using the internal defect inspection procedure developed in this paper, the accuracy of different detection algorithms could also be estimated.…”

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confidence: 99%

CT-Based Dimensional Metrology for Quality Assessment of the Internal Structure of Additive Manufactured Aluminum Parts

Holgado,

Ortega,

Yagüe-Fabra

et al. 2023

KEM

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Two common types of internal defects of additively manufactured (AM) samples are lack-of-fusion and gas-entrapped porosities. These internal defects can have different physical origins and particular local characteristics (e.g., different shape, size). Thus, the use of reliable non-destructive inspection techniques is essential for the accurate assessment of integrity, allowing the applicable AM processing parameters correction. To overcome this challenge, this work aims to evaluate the accuracy of volumetric characteristics measured by computed tomography for porosity evaluations in AM samples, including assessment of measurement uncertainty. The effect of different cumulative thickness on the evaluated measurements accuracy is also assessed. The results show that deviations of defect size measurements can be below 2% if the proposed procedure is followed. In addition, the expanded uncertainty can be up to 10% of the measured magnitude when the cumulative thickness is increased to 70 mm. The physical relationships obtained between the cumulative thickness and the individual measurements are also presented.

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confidence: 99%