Lattice Structure Inspection in Additively Manufactured Parts

Recently published in Welding in the World is new research on defect detection and classification for additively manufactured parts with lattice structures.

Testing and quality control for additively manufactured parts with complex geometries, including those with lattice structures, can be challenging. Lattice structures are common to medical implants and lightweight aerospace parts. In both the medical and aerospace industries, quality control is essential. Resonant Ultrasound Spectroscopy (RUS), a non-destructive testing technique, is ideal for sorting parts with and without defects. Studies are underway to develop a process to further classify parts by type and location of defect, including details such as number and location of missing struts. Non-Destructive Testing Resonant Acoustic Method (NDT-RAM), an RUS technique, together with the machine learning method RLDA is an effective solution for detailed defect classification.

See the article “A non-destructive resonant acoustic testing and defect classification of additively manufactured lattice structures” in Welding in the World to learn more.