Study of Sphericity and Compactness Parameters in Spheroidal Graphite Iron Using X-Ray Micro-computed Tomography and Image Processing

Díaz, F. V.; Peralta, Matías; Fernandino, Diego Omar

doi:10.1007/s10921-020-00738-6

Cited by 3 publications

(4 citation statements)

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“…Furthermore, the count is meagre for nodules with high SG and low C and nodules with high C and low SG. It should be noted that, in the work of Díaz et al[21], the graphite nodule shape is more sensitive to C values than SG values.…”

mentioning

confidence: 89%

“…30 tomographic images of steel wire patterns were used to obtain the dimensional uncertainty, which was about ± 5.8 μm, with a confidence level of 95%. Details of the uncertainty calculation can be found in Díaz et al (2021) [21].…”

Section: X-ray Micro-tomographymentioning

confidence: 99%

“…1, where G1, G2, and G3 correspond to small, medium, and large nodules, respectively. It is worth noting that these values were obtained from an exhaustive evaluation of the SG and C distributions for 9238 nodules, which is detailed in Díaz et al ( 2021) [21].…”

Section: Processing Of the Data Retrieved From µCt Analysismentioning

confidence: 99%

“…Although this parameter is not usually used as a nodular quality estimator in SGI, the authors recently evaluated SG and C parameters to establish quality categories for graphite nodules from a SGI sample by µCT [21]. In that work, the C parameter was identified as a very good geometric parameter to adequately classify the graphite nodule quality, even better than SG since, although the SG distributions associated with subpopulations of high and medium compactness are similar, the tomographic images show substantial differences in terms of nodular quality of both subpopulations.…”

Section: Introductionmentioning

confidence: 99%

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High-quality nodule analysis in spheroidal graphite cast iron using X-ray micro-computed tomography

Toledo

Díaz

Peralta

et al. 2022

Frattura Ed Integrità Strutturale

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This work is a continuation of the studies presented in a recent paper by the authors, where a methodology to obtain different nodule quality categories in spheroidal graphite cast iron, was proposed. In this study, an exhaustive analysis of the highest-quality graphite nodules was performed. The experimental methodology involves X-ray micro-computed tomography analysis and digital image post-processing of the high-quality graphite nodule population. Furthermore, different subpopulations were selected, following a nodular size criterion. The procedure involves the evaluation and comparison of the sphericity and compactness distributions and the distances between neighbouring nodules by using ad-hoc image processing software. The results reveal the complementary nature of the sphericity and compactness parameters, which allow classifying, with great accuracy, different nodular quality categories of spheroidal graphite cast iron. Additionally, new viewpoints about the nodular morphology study and the distribution of quality nodules in the metallic matrix was provided, which could be extended to other heterogeneous materials.

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mentioning

confidence: 89%

Section: X-ray Micro-tomographymentioning

confidence: 99%

Section: Processing Of the Data Retrieved From µCt Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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