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Journal of Flow Visualization and Image Processing
SJR: 0.161 SNIP: 0.312 CiteScore™: 0.5

ISSN 印刷: 1065-3090
ISSN オンライン: 1940-4336

Journal of Flow Visualization and Image Processing

DOI: 10.1615/JFlowVisImageProc.v16.i3.30
pages 237-253

EVOLUTION OF PARTICLE DIAMETERS AND PARTICLE VELOCITIES DURING LIQUID METAL ATOMIZATION

A. Allimant
UTBM-LERMPS, Site de Sévenans, 90010 Belfort Cedex
Marie-Pierre Planche
LERMPS, Technological University of Belfort- Montbéliard, site de Sévenans, 90010 Belfort Cedex France
L. Dembinski
UTBM-LERMPS, Site de Sévenans, 90010 Belfort Cedex
Christian Coddet
LERMPS, Université de Technologie de Belfort-Montbéliard, site de Sévenans, 90 010 Belfort Cedex
Yannick Bailly
FEMTO-ST Institute, Univ. Bourgogne Franche-Comté, CNRS, Belfort, France
L. Girardot
Institut FEMTO-ST-UMR 6174, Département Energie, Université de Franche-Comté, Parc Technologique, Belfort, France

要約

Gas atomization of liquid metal using the De Laval nozzle is one of the most efficient processes in terms of powder quality including size and composition criteria and in terms of inert gas consumption used to atomize liquid metal. However, the comprehension of the involved events is at that time of prime importance to optimize this process and the researches are focused on both experimental and modelling approaches. For example, very few experimental data are available on liquid metal atomization because of the difficulty to achieve measurements very close to the atomization area. The paper concerns some experimental results obtained with Al−5 wt.% Mn metal spraying. The evolution of the powder characteristics, i.e., particle-size distribution and particle velocity during the process were investigated. Then, some particles were collected in different samples during the atomization process and the relationship between the atomizing pressure and the resulting powder size was analyzed. The particle image velocimetry (PIV) has been used to measure the particle velocity in the atomizing chamber. The results were determined as a function of the process parameters.


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