Feature Detection in High-Speed Videos During Additive Manufacturing
2025 (English)Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE credits
Student thesis
Abstract [en]
Additive manufacturing with Laser Direct Energy Deposition has become increasingly significant due to its ability to create complex geometries of large size and repair high-value components. However, the process remains difficult to monitor and control, due to complex interactions among various parameters and the incomplete understanding of how powder particles interact with the laser and melt pool. This study addressed the problem by investi-gating how carrier gas flow rate affects particle behaviour and melt pool characteristics during Laser Directed Energy Deposition. The aim was to detect features from high-speed videos of the process, to understand how particle velocity, flow direction, melt pool geometry, par-ticle incorporation, and catchment efficiency are influenced by variations in carrier gas flow rate. The results showed that increasing the gas flow rate led to more focused powder streams, reduced bead width, with increased height of deposition. Higher gas flow also im-proved material catchment efficiency by reducing the number of particles falling outside the melt pool, along with faster particle incorporation
Place, publisher, year, edition, pages
2025. , p. 18
Keywords [en]
Laser DED, High Speed Imaging, Carrier gas flow, Feature detection, Material Catchment, Melt pool geometry
National Category
Manufacturing, Surface and Joining Technology
Identifiers
URN: urn:nbn:se:hv:diva-23713Local ID: EXM710OAI: oai:DiVA.org:hv-23713DiVA, id: diva2:1980986
Subject / course
Mechanical engineering
Educational program
Master in Manufacturing (1 year)
Supervisors
Examiners
2025-07-222025-07-032025-09-30Bibliographically approved