Two-color thermal imaging of the melt pool in powder-blown laser-directed energy deposition

被引:15
作者
Myers, Alexander J. [1 ]
Quirarte, Guadalupe [1 ]
Beuth, Jack L. [1 ]
Malen, Jonathan A. [1 ]
机构
[1] Carnegie Mellon Univ, Dept Mech Engn, 5000 Forbes Ave, Pittsburgh, PA 15213 USA
基金
美国国家科学基金会;
关键词
Two-color thermal imaging; Directed energy deposition; Process monitoring; Melt pool CFD; COOLING RATES; FLOW; TEMPERATURE; MECHANISMS; EVOLUTION; DYNAMICS;
D O I
10.1016/j.addma.2023.103855
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This work demonstrates an experimental technique to image melt pool temperature fields with a commercial color camera for laser-directed energy deposition (L-DED) processes. The technique relies on two-color thermography to construct spatially-resolved temperature fields and is demonstrated on 316L stainless steel (SS) melt pools from solidus to near-boiling temperatures. This two-color thermal imaging system negates the need for a priori knowledge of melt pool emissivity or the camera's view factor and was validated with a calibrated tungsten filament lamp between temperatures of 1220 K and 2850 K. In-situ temperature measurements are combined with ex-situ cross-sectional geometry to determine the material's effective absorptivity and coefficient of temperature-dependent surface tension, which is responsible for Marangoni convection, in a multi-physics computational fluid dynamics (CFD) model. Measured peak melt pool temperatures are important for understanding the molten convection within the melt pool, and measured cooling rates can be related to the resulting part microstructure. Peak temperatures from 1750 K to 3000 K show that below the boiling point, temperature increases with increasing laser power density and decreases with increasing scanning velocity. Thermal images are used to estimate cooling rates in the melt pool tail, which increase with the ratio of scanning velocity to power. Our thermal imaging strategy will advance measurement science in L-DED processes by validating multi-physics CFD models, quantifying cooling rates, providing real-time feedback control, and allowing process mapping of critical melt pool behaviors.
引用
收藏
页数:10
相关论文
共 53 条
[1]  
[Anonymous], 2017, Imaging performance specification FLIR Chameleon 3 USB3 Vision Version 4.1
[2]  
[Anonymous], 50mm Diameter 0-degree AOI hot mirror
[3]  
[Anonymous], Optical Transmission - American Scientific Glassblowers Society
[4]  
Antonysamy A.A., 2012, Microstructure, Texture and Mechanical Property Evolution during Additive Manufacturing of Ti6Al4V Alloy for Aerospace Applications
[5]   Vision-based defect detection in laser metal deposition process [J].
Barua, Shyam ;
Liou, Frank ;
Newkirk, Joseph ;
Sparks, Todd .
RAPID PROTOTYPING JOURNAL, 2014, 20 (01) :77-86
[6]   On the role of the powder stream on the heat and fluid flow conditions during Directed Energy Deposition of maraging steel-Multiphysics modeling and experimental validation [J].
Bayat, Mohamad ;
Nadimpalli, Venkata K. ;
Biondani, Francesco G. ;
Jafarzadeh, Sina ;
Thorborg, Jesper ;
Tiedje, Niels S. ;
Bissacco, Giuliano ;
Pedersen, David B. ;
Hattel, Jesper H. .
ADDITIVE MANUFACTURING, 2021, 43
[7]  
Bayer B.E., 1976, Color Imaging Array
[8]  
Benard H., 1900, REV GEN SCI PURE APP, V11, P1261, DOI DOI 10.1051/JPHYSTAP:019000090051300
[9]   In-situ characterization of laser-powder interaction and cooling rates through high-speed imaging of powder bed fusion additive manufacturing [J].
Bertoli, Umberto Scipioni ;
Guss, Gabe ;
Wu, Sheldon ;
Matthews, Manyalibo J. ;
Schoenung, Julie M. .
MATERIALS & DESIGN, 2017, 135 :385-396
[10]   Characterization of the process control for the direct laser metallic powder deposition [J].
Bi, Guijun ;
Gasser, Andres ;
Wissenbach, Konrad ;
Drenker, Alexander ;
Poprawe, Reinhart .
SURFACE & COATINGS TECHNOLOGY, 2006, 201 (06) :2676-2683