Online melt pool depth estimation in laser metal deposition using a coaxial thermography system

被引:4
|
作者
Jeon, Ikgeun [1 ]
Sohn, Hoon [1 ,2 ]
机构
[1] Korea Adv Inst Sci & Technol KAIST, Dept Civil & Environm Engn, Daehakro 291, Daejeon 34141, South Korea
[2] Korea Adv Inst Sci & Technol KAIST, Ctr Printing Nondestruct Testing 3D, Daehakro 291, Daejeon 34141, South Korea
基金
新加坡国家研究基金会;
关键词
melt pool depth; online estimation; coaxial thermography; laser metal deposition; additive manufacturing; POWDER-BED FUSION; ENERGY; HEIGHT; PREDICTION; GEOMETRY; DILUTION; TRACK;
D O I
10.2351/7.0000618
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
One of the most important parameters influencing the quality of laser metal deposition (LMD) parts is the melt pool depth, which is defined as the distance from the top surface of the substrate to the deepest point of the melt pool. In this study, an online melt pool depth estimation technique is developed using a coaxial thermography system integrated into the LMD process. First, using an infrared camera and a charge-coupled device camera, the melt pool width and length as well as the layer height were measured in real time. The surface melt pool profile was then defined, and the temperature distribution within the deposited layer was calculated by solving a laser-induced heat conduction equation. Finally, the melt pool depth is estimated online. Variations in the laser power, printing speed, build temperature, and material were used in validation tests of the proposed technique, and the results were compared with microscopic inspections. The results showed that the proposed technique can accurately estimate the melt pool depth to within 2%.
引用
收藏
页数:17
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