Szczegóły publikacji
Opis bibliograficzny
Application of micro-CT for characterization and analysis of 3D-printed samples produced using the FDM additive manufacturing method / Paweł MADEJSKI, Isyna Izzal MUNA // Procedia Structural Integrity [Dokument elektroniczny]. — Czasopismo elektroniczne ; ISSN 2452-3216 . — 2026 — vol. 77, s. 357–364. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 364, Abstr. — Publikacja dostępna online od: 2026-02-04. — International Conference on Structural Integrity 2025 : 1–4 September 2025, Funchai, Madeira, Portugal
Autorzy (2)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 166014 |
|---|---|
| Data dodania do BaDAP | 2026-03-09 |
| Tekst źródłowy | URL |
| DOI | 10.1016/j.prostr.2026.01.046 |
| Rok publikacji | 2026 |
| Typ publikacji | referat w czasopiśmie |
| Otwarty dostęp |  |
| Creative Commons | |
| Czasopismo/seria | Procedia Structural Integrity |
Abstract
Additive manufacturing (AM) using fused deposition modeling (FDM) offers unique advantages for producing complex geometries with minimal waste; however, the mechanical performance of printed polylactic acid (PLA) parts is often limited by process-induced defects, such as porosity and inter-layer delamination. Infill geometry plays a crucial role in defect formation and distribution, influencing both material efficiency and structural integrity. To address this challenge, this study utilizes X-ray computed tomography (μCT) to assess internal porosity in PLA specimens with cubic and triangular infill patterns. An image processing workflow was developed to distinguish between true material defects and intentional infill voids, enabling the precise quantification of defect count, size, and spatial distribution. μCT-derived measurements were further used to compute effective material density, which was correlated with tensile test data to assess the influence of porosity on strength and failure modes. Results demonstrate that μCT provides critical insights into the relationship between infill design, defect morphology, and mechanical reliability, establishing its potential as a robust tool for quality assurance in polymer-based additive manufacturing.
