Experimental analysis of the powder flow in a continuous coaxial nozzle for laser metal deposition

Abstract This work presents an experimental analysis of the powder flow from a continuous coaxial nozzle for Laser Metal Deposition (LMD), demonstrating the ability to identify the transients and high-speed process flow dynamics. High-speed video tracking of individual particles enabled detailed analysis of size, spatial distribution, and velocities, revealing significant flowrate variations over time of up to $$20\%$$ , which may compromise deposition quality. These oscillations emerge from the large number of interactions among particles, carrier gas, and nozzle walls, reflecting complex, self-excited flow dynamics not captured by time-averaged measurements. The standoff distance, defined as the optimal distance between the nozzle and the workpiece, was determined with unprecedented temporal resolution. In the most representative case, the average standoff distance was found to be approximately $$16.0~\textrm{mm}$$ , with oscillations over time of up to $$19\%$$ , due to variations in both particle trajectories and quantity over time. The particle size distribution was consistent with the manufacturer’s specifications, a good indication of the method’s accuracy, and an error estimation is performed to determine the expected precision of the measurements. A key aspect of this work, and its main contribution, is the development of a workflow capable of tracking individual particles to determine the instantaneous powder mass flowrate, providing a reliable approach to monitor and optimize powder delivery in the LMD process.

Authors

Institutions

Publication Details

Journal
Progress in Additive Manufacturing
Published
2026-03-11
DOI
https://doi.org/10.1007/s40964-026-01600-3
Primary Topic
Additive Manufacturing Materials and Processes
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Experimental analysis of the powder flow in a continuous coaxial nozzle for laser metal deposition

Alejandro López, Beatriz Achiaga, Jon Inaki Arrizubieta Arrate, Giulio Bonifazi et al.
Progress in Additive Manufacturing
Additive Manufacturing Materials and Processes
article

Experimental analysis of the powder flow in a continuous coaxial nozzle for laser metal deposition

Alejandro López, Beatriz Achiaga, Jon Inaki Arrizubieta Arrate, Giulio Bonifazi, Aitzol Lamíkiz, Lorenzo Pedrolli
article en

Abstract

Abstract This work presents an experimental analysis of the powder flow from a continuous coaxial nozzle for Laser Metal Deposition (LMD), demonstrating the ability to identify the transients and high-speed process flow dynamics. High-speed video tracking of individual particles enabled detailed analysis of size, spatial distribution, and velocities, revealing significant flowrate variations over time of up to $$20\%$$ , which may compromise deposition quality. These oscillations emerge from the large number of interactions among particles, carrier gas, and nozzle walls, reflecting complex, self-excited flow dynamics not captured by time-averaged measurements. The standoff distance, defined as the optimal distance between the nozzle and the workpiece, was determined with unprecedented temporal resolution. In the most representative case, the average standoff distance was found to be approximately $$16.0~\textrm{mm}$$ , with oscillations over time of up to $$19\%$$ , due to variations in both particle trajectories and quantity over time. The particle size distribution was consistent with the manufacturer’s specifications, a good indication of the method’s accuracy, and an error estimation is performed to determine the expected precision of the measurements. A key aspect of this work, and its main contribution, is the development of a workflow capable of tracking individual particles to determine the instantaneous powder mass flowrate, providing a reliable approach to monitor and optimize powder delivery in the LMD process.

Progress in Additive Manufacturing
Universidad de Deusto (ES), University of the Basque Country (ES)
Openalex Percentile: Top 26%
Additive Manufacturing Materials and Processes
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.