Measurement of precision and quality characteristics of lattice structures in metal-based additive manufacturing using computer tomography analysis

Moj, Kevin; Owsiński, Robert; Robak, Grzegorz; Gupta, Munish Kumar; Scholz, Sebastian; Mehta, Harsh

doi:10.1016/j.measurement.2024.114582

Measurement

2024

DOI: 10.1016/j.measurement.2024.114582

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Measurement of precision and quality characteristics of lattice structures in metal-based additive manufacturing using computer tomography analysis

Kevin Moj,

Robert Owsiński,

Grzegorz Robak

et al.

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Cited by 3 publications

References 32 publications

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A short review of molecularly inspired strut-based metal lattice structures

Shivakumar,

Ramesh,

Muthukumaran

2024

Materials Today: Proceedings

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A short review of molecularly inspired strut-based metal lattice structures

Shivakumar,

Ramesh,

Muthukumaran

2024

Materials Today: Proceedings

View full text Add to dashboard Cite

Automatic detection and localization of internal defects in additively manufactured aluminum alloy based on deep learning

Dong,

Ni,

Liang

et al. 2025

Measurement

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Fatigue and fracture surface characteristics of additively manufactured titanium alloy under various loading configurations and build orientations

Owsiński,

Moj,

Lachowicz

et al. 2024

RPJ

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Purpose Computer tomography (CT) is widely used in engineering applications, allowing for precise structural analysis of materials and components, enabling the measurement of internal properties and features, which is crucial for assessing their quality and durability. Therefore, the purpose of this study is to analyze the fatigue fracture surface features of titanium alloy (Ti-6Al-4V) under different loading configurations and structure orientations using computational micro-tomography. Design/methodology/approach In this work, the specimens were fabricated by selective laser melting (SLM) and subjected to fatigue tests to analyze the effects of different printing parameters on mechanical properties and microstructural features. The comprehensive methodology included metallographic testing, fatigue life testing, fractographic analysis and CT analysis, followed by microhardness measurements, providing a detailed assessment of internal defects and their impact on fatigue performance. Findings The fatigue test results showed better fatigue life for samples printed with Y orientation followed by X and Z orientation. The measurement values were fitted to obtain mean variable values of A as 6.522, 10.831 and 6.747 and values of m as −0.587, −2.318 and −0.771 for samples printed with X, Y and Z orientation for the Basquin’s equation to determine fatigue life. CT analysis revealed that the mean equivalent defect diameters were 0.0506, 0.0496 and 0.0513 mm and mean defect volume of 0.000714, 0.000467 and 0.000534 mm3 for X, Y and Z orientation samples, respectively. Originality/value The novel aspect of this study is to investigate the effect of extreme SLM process parameters on the durability of the material subjected to complex multiaxial loading conditions, including nonproportional fatigue loading.

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Measurement of precision and quality characteristics of lattice structures in metal-based additive manufacturing using computer tomography analysis

Cited by 3 publications

References 32 publications

A short review of molecularly inspired strut-based metal lattice structures

A short review of molecularly inspired strut-based metal lattice structures

Automatic detection and localization of internal defects in additively manufactured aluminum alloy based on deep learning

Fatigue and fracture surface characteristics of additively manufactured titanium alloy under various loading configurations and build orientations

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