Precontouring as a Tool to Improve the Laser Powder Bed Fusion Printability of Inconel939 Thin Walls

被引:0
作者
Rodriguez-Barber, Ignacio [1 ,2 ]
Fernandez-Blanco, Ana Maria [3 ]
Unanue-Arruti, Iker [3 ]
Madariaga-Rodriguez, Inaki [3 ]
Milenkovic, Srdjan [1 ,2 ]
Perez-Prado, Maria Teresa [1 ]
机构
[1] IMDEA Mat Inst, Sustainable Met Grp, Calle Eric Kandel 2, Getafe 28906, Madrid, Spain
[2] Univ Carlos III Madrid, Mat Sci & Engn Dept, Ave Univ 30, Leganes 28911, Madrid, Spain
[3] Ind Turbopropulsores SAU, Mat & Proc Dept, Parque Tecnol 300, Zamudio 48170, Bizkaia, Spain
关键词
contour scanning; Inconel; 939; laser powder bed fusion; microstructures; Ni superalloy; thin-wall sections;
D O I
10.1002/adem.202401929
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This work investigates the influence of adding a contour scan prior to hatching (precontouring) on the printability of Inconel 939 thin-wall sections produced by laser powder bed fusion. Walls with thicknesses ranging from 500 to 1500 mu m, manufactured with two hatch scanning parameter sets that give rise to different microstructures and very high density in bulk samples of the same alloy, are investigated. It is shown that, while the texture as well as the grain size and shape is only influenced moderately by the contour scanning strategy, precontouring does lead to a significant reduction of the melt pool depth, an effect that is increasingly pronounced with decreasing wall thickness. This work highlights the role of the precontour scan as a heat sink, shifting the normalized enthalpy input toward lower values and thus limiting the accumulation of excess heat. Precontouring is put forward as a scanning strategy to improve the manufacturability of thin sections.
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页数:8
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共 24 条
[1]   Pandora's Box-Influence of Contour Parameters on Roughness and Subsurface Residual Stresses in Laser Powder Bed Fusion of Ti-6Al-4V [J].
Artzt, Katia ;
Mishurova, Tatiana ;
Bauer, Peter-Philipp ;
Gussone, Joachim ;
Barriobero-Vila, Pere ;
Evsevleev, Sergei ;
Bruno, Giovanni ;
Requena, Guillermo ;
Haubrich, Jan .
MATERIALS, 2020, 13 (15)
[2]   Manufacturing of thin wall structures in AlSi10Mg alloy by laser powder bed fusion through process parameters [J].
Calignano, F. ;
Cattano, G. ;
Manfredi, D. .
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2018, 255 :773-783
[3]   Micro-cracking mechanism of RENE 108 thin-wall components built by laser powder bed fusion additive manufacturing [J].
Chakraborty, Apratim ;
Tangestani, Reza ;
Muhammad, Waqas ;
Sabiston, Trevor ;
Masse, Jean-Philippe ;
Batmaz, Rasim ;
Wessman, Andrew ;
Martin, Etienne .
MATERIALS TODAY COMMUNICATIONS, 2022, 30
[4]   Additive manufacturing of metallic lattice structures: Unconstrained design, accurate fabrication, fascinated performances, and challenges [J].
Chen, Liang-Yu ;
Liang, Shun-Xing ;
Liu, Yujing ;
Zhang, Lai-Chang .
MATERIALS SCIENCE & ENGINEERING R-REPORTS, 2021, 146
[5]   The potential benefit of pseudo high thermal conductivity for laser powder bed fusion additive manufacturing [J].
Ding, Huan ;
Emanet, Selami ;
Chen, Yehong ;
Guo, Shengmin .
MATERIALS RESEARCH LETTERS, 2023, 11 (10) :797-805
[6]   Effect of Part Thickness and Build Angle on the Microstructure, Surface Roughness, and Mechanical Properties of Additively Manufactured IN-939 [J].
Fardan, A. ;
Klement, U. ;
Brodin, H. ;
Hryha, E. .
METALLURGICAL AND MATERIALS TRANSACTIONS A-PHYSICAL METALLURGY AND MATERIALS SCIENCE, 2023, 54 (05) :1792-1807
[7]   An effective rule for translating optimal selective laser melting processing parameters from one material to another [J].
Ghasemi-Tabasi, Hossein ;
Jhabvala, Jamasp ;
Boillat, Eric ;
Ivas, Toni ;
Drissi-Daoudi, Rita ;
Loge, Roland E. .
ADDITIVE MANUFACTURING, 2020, 36
[8]   A simple methodology for predicting laser-weld properties from material and laser parameters [J].
Hann, D. B. ;
Iammi, J. ;
Folkes, J. .
JOURNAL OF PHYSICS D-APPLIED PHYSICS, 2011, 44 (44)
[9]   Additive manufacturing of metals [J].
Herzog, Dirk ;
Seyda, Vanessa ;
Wycisk, Eric ;
Emmelmann, Claus .
ACTA MATERIALIA, 2016, 117 :371-392
[10]   Revolutionizing manufacturing: A comprehensive overview of additive manufacturing processes, materials, developments, and challenges [J].
Kanishka, Kumar ;
Acherjee, Bappa .
JOURNAL OF MANUFACTURING PROCESSES, 2023, 107 :574-619