Instituições de ensino: Universidade do Estado de Santa Catarina, Autônomo, SENAI, Universidade Federal de Santa Catarina
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With the growth of additive manufacturing applications and its importance in the worldwide manufacturing scenario, the concern about quality has gained significance position. Understand all features related to the process is a key factor to control it and with this improve quality. Laser Metal Deposition (LMD) is one of the available technologies to build parts, clad or repair damaged surfaces. This technique consists of a powder jet, which meets with laser beam, forming a melt pool and a deposition track. Understand the behavior of this powder beam is very important to assure the quality and reproducibility of the process. The focal position is one of the most important features since it is responsible to determinate the diameter size of powder jet that reaches the processed surface. The geometry of the powder stream is a consequence of many different variables, as gas flux, particle size distribution, nozzle geometry, and others. Because of this complex interaction is difficult to preview and modeling the powder beam behavior. This article presents a method to characterize the powder jet geometry using a processing image algorithm capable to determine the focus position. Three different software solutions were implemented, making possible a comparison between the computational results. A picture of a consistent and visible powder jet was analyzed by the three different algorithm solution. The comparison of the processing times is carried out, mainly aiming the viability from the computational point of view for each of the proposals.
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