Effects of deposition variables on molten pool temperature during laser engineered net shaping of Inconel 718 superalloy
The molten pool temperature during laser engineered net shaping (LENS) could directly affect the microstructure and phase compositions of materials in the molten pool, thereby affecting the mechanical properties of the fabricated parts. To achieve a well-built solid structure, the research on fundamentals and methods of molten pool thermal behavior monitoring is of great significance. Using a high-resolution infrared camera, this paper realized real-time temperature tracking of Inconel 718 deposition in the LENS process. The effects of deposition variables, such as laser power and scanning speed, on the molten pool temperature and cooling rate have been investigated. In addition, the effects of the molten pool temperature on the molten pool depth and dendrite arm spacing (DAS) have been analyzed. The results suggest that the molten pool temperature increases with increasing of the laser power while it drops first and then rises with increasing of the scanning speed. The molten pool temperature increases nonlinearly with increasing of the number of layers during the material deposition process.
KeywordsMolten pool temperature measurement Laser engineered net shaping Infrared camera Inconel 718
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The authors would like to extend the acknowledgements to the Foundation of the Whitacre College of Engineering and the Office of Vice President for Research at Texas Tech University.
- 3.Dong S, Yan S, Xu B, Wang Y, Ren W (2013) Laser cladding remanufacturing technology of cast iron cylinder head and its quality evaluation. J Acad Armor Force Eng 27(1):90–93Google Scholar
- 5.Atwood C, Ensz M, Greene D, Griffith M, Harwell L, Reckaway D, Smugeresky J (1998) Laser engineered net shaping (LENS (TM)): a tool for direct fabrication of metal parts (No. SAND98-2473C). Sandia National Laboratories, AlbuquerqueGoogle Scholar
- 7.Liu B, Wildman R, Tuck C, Ashcroft I, Hague R (2011) Investigation the effect of particle size distribution on processing parameters optimisation in selective laser melting process. Additive Manufacturing Research Group, Loughborough UniversityGoogle Scholar
- 21.Masoomi M, Gao X, Thompson SM, Shamsaei N, Bian L, Elwany A (2015) Modeling, simulation and experimental validation of heat transfer during selective laser melting. In: ASME 2015 International Mechanical Engineering Congress and Exposition. American Society of Mechanical EngineersGoogle Scholar
- 24.Burns GW, Scroger MG (1989) The calibration of thermocouples and thermocouple materials (Vol. 250, No. 35). US Department of Commerce, National Institute of Standards and TechnologyGoogle Scholar
- 25.Kiss, L. I., & Bui, R. T (1999) Error sources during the measurement of surface temperatures and heat flux on the aluminium electrolysis cells. Proceedings of 38th Annual Meeting of CIM, QuébecGoogle Scholar
- 26.Tang L, Landers RG (2010) Melt pool temperature control for laser metal deposition processes-part I: online temperature control. J Manuf Sci Eng 132(1):1–9Google Scholar
- 28.Kleszczynski S, Zur Jacobsmühlen J, Sehrt JT, Witt G (2012) Error detection in laser beam melting systems by high resolution imaging. In: Proceedings of the Twenty Third Annual International Solid Freeform Fabrication SymposiumGoogle Scholar
- 42.Pavlović-Krstić J, Bähr R, Krstić G, Putić S (2009) The effect of mould temperature and cooling conditions on the size of secondary dendrite arm spacing in Al-7Si-3Cu alloy. Metalurgija 15(2):106–113Google Scholar
- 44.Farrokhi F (2018) Hybrid laser welding of large steel structures: an experimental and numerical study Doctoral dissertation, Aalborg UniversitetsforlagGoogle Scholar
- 45.Zhang B, Garro M, Leghissa M, Giglio A, Tagliano C (2005) Effect of dendrite arm spacing on mechanical properties of aluminum alloy cylinder heads and engine blocks (No. 2005-01-1683). SAE Technical PaperGoogle Scholar