Swedish Aerospace Technology Congress 2016

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Swedish Aerospace Technology Congress 2016 A review of selective laser melting - Process parameters and its influence on microstructure, defects and strength in superalloy Alloy 718 Authors: Tahira Raza 1, Joel Andersson 1, Lars-Erik Svensson 1 and Magnus Holmquist 2 1 Dept of Engineering Science, University West, SE-46186 Trollhättan, Sweden 2 GKN Aerospace Sweden AB, SE-46181 Trollhättan tahira.raza@hv.se 1 12th October 2016

Selective laser melting (SLM) Process chain CAD-based 3D model.stl file Sliced layers SLM system Post processing Final product 2 [Adapted from: http://dupress.com/articles/additive-manufacturing-3d-opportunity-in-aerospace/. Accessed 2016-10-02]

Advantages Prototyping Low-volume fabrication of expensive components Individually customized products Possibility of producing geometrically complex components Minimum waste of material Challenges Surface roughness Internal pores Delamination due to residual stresses Long processing time SLM process 3

SLM process Powder delivering system Powder roller Laser Beam Unmelted powder Manufactured part Substrate plate Moveable platforms 4

SLM process parameters Laser related parameters Laser power, spot size, pulse frequency, pulse duration Scan related parameters Scanning strategy, scanning speed, hatch distance Powder related parameters Particle size, shape and distribution, powder bed density, layer thickness, material properties, such as melting temperature, thermal conductivity Temperature related parameters Powder bed temperature, powder feeder temperature, temperature uniformity 5

Process parameters Parameter Unit Description Laser power W The power of the laser beam which fuses the powder with the substrate Scanning speed mm/s Travel speed of the laser Powder layer thickness mm The height of each powder layer Hatch distance mm The distance between two scanned lines Point distance mm The distance between laser hits Exposure time ms The time that laser remains at 1 point 6

Energy density Eρ = P V H T Where Eρ = Energy density [J/mm 3 ] P = Laser power [W] V = Scanning speed [mm/s] => H = Hatch distance [mm] Point distance Laser exposure time Laser power T = Powder layer thickness [mm] Point distance Powder layer thickness Hatch distance 7 Gibson et al. Additive manufacturing technologies, 3D Printing, Rapid Prototyping, and Direct Digital Manufacturing. Springer, 2015. Louvis et al. Selective laser melting of aluminium components. Journal of Materials Processing Technology, vol. 211, pp. 275-284. 2011. Former layer

Alloy 718 Ni Cr Fe Nb Mo Ti Mn C Al Co Bal. 19 18 5 3 0.90 0.04 0.05 0.48 0.08 Si N Cu B Ca Mg P S Se 0.04 0.02 0.02 <0.006 <0.010 <0.010 0.015 <0.010 <0.001 (ppm) (ppm) (ppm) (ppm) (ppm) (ppm) Chemical composition, wt % Iron-nickel based superalloy Nuclear, aerospace, oil and gas industry Excellent creep properties, oxidation resistance and hot corrosion resistance Excellent weldability 8 Geddes et al. Superalloys: Alloying and Performance. Materials Park, OH: ASM International. 2010. R. Reed. The Superalloys, Fundamentals and Applications. Cambridge, UK: Cambridge University Press. 2006.

Microstructure of SLM-manufactured a) b) B 50 µm B OM image of as-manufactured Alloy 718. SEM image of layer development. 9 Raza et al. A review of the effect of selective laser melting process parameters and its influence on microstructure, defects and strength in the iron-nickel based superalloy Alloy 718. 2016

Microstructure of SLM-manufactured Alloy 718 a) b) 10 SEM images showing a) columnar grain structures and b) segregation of Nb and Mo. Columnar dendrite grains Segregation of Nb and Mo Laves phase Raza et al. A review of the effect of selective laser melting process parameters and its influence on microstructure, defects and strength in the iron-nickel based superalloy Alloy 718. 2016

Process induced defects: porosity 2 3 Gas porosity - entrapped gas in the powder particles. Lack of fusion - insufficient heat input to the material. 1 50 µm OM image of as-manufactured Alloy 718, showing (1) build direction, (2) gas porosity, (3) lack of fusion. 11 G.K.L. Ng, A.E.W. Jarfors, G. Bi, H.Y. Zheng. Porosity formation and gas bubble retention in laser metal deposition. Applied Physics A, 97 (2009), 641-649., 2009. Raza et al. A review of the effect of selective laser melting process parameters and its influence on microstructure, defects and strength in the iron-nickel based superalloy Alloy 718. 2016

Process induced defects: residual stresses Process parameters: Part height Scanning strategy Heating conditions Mechanism causing residual stresses Temperature gradient Thermal contraction 12 Kempen et al. Lowering thermal gradients in selective laser melting by pre-heating the baseplate. 2013. Mercelis et al. Residual stresses in selective laser sintering and selective laser melting. Rapid Prototyping Journal, vol. 12, pp. 254-265. 2006. Chlebus et al. Effect of heat treatment on the microstructure and mechanical properties of Inconel 718 processed by selective laser melting. Materials Science and Engineering: A, vol. 639, pp. 647-655. 2015.

Mechanical properties of SLM-manufactured Alloy 718 Ultimate tensile strength SLM [4] SLM + SOLUTION + AGING SLM [3] SLM + SOLUTION + AGING SLM [2] SLM + SOLUTION + AGING 1126 1143 1117 1371 1319 1457 SLM [1] SLM + HIP CAST WROUGHT 862 1120 1200 1276 0 200 400 600 800 1000 1200 1400 1600 [MPa] 13 [1] Amato et al. Acta Materialia, vol. 60, pp. 2229-2239. 2012. [2] Chlebus et al. Materials Science and Engineering: A, vol. 639, pp. 647-655. 2015. [3] Wang et al. Journal of Alloys and Compounds, vol. 513, pp. 518-523. 2012. [4] Zhang et al. Materials Science and Engineering: A, vol. 644, pp. 32-40. 2015.

Summary Laser power, scanning speed, layer thickness and hatch distance. Columnar dendrite grains Laves phases Strength and hardness of the SLM-manufactured Alloy 718 increases with heat treatments and are comparable with wrought Alloy 718. Common voids in SLM-manufactured Alloy 718: Gas porosity Lack of fusion Residual stresses Surface roughness Heat treatment necessary to achieve desired properties. 14

Thank you Tahira Raza tahira.raza@hv.se 15

Solutions Residual stresses Heating of substrate plate Scanning strategy Surface roughness and porosity Re-melting strategies Island scanning strategy 16 Kempen et al. Lowering thermal gradients in selective laser melting by pre-heating the baseplate. 2013. Mercelis et al. Residual stresses in selective laser sintering and selective laser melting. Rapid Prototyping Journal, vol. 12, pp. 254-265. 2006. Chlebus et al. Effect of heat treatment on the microstructure and mechanical properties of Inconel 718 processed by selective laser melting. Materials Science and Engineering: A, vol. 639, pp. 647-655. 2015.

Mechanical properties of SLM-manufactured Alloy 718 Reference Experiment Hardness [HV] Tensile strength [Mpa] Yield strength [Mpa] Amato et al. [1] SLM 398 1120 830 SLM + HIP 571 1200 930 SLM + HIP + Solution 469 Chlebus et al. [2] SLM 313 1117 723 SLM + Solution + aging 463 1457 1241 Wang et al. [3] SLM 365 1143 903 SLM + Solution + aging 470 1319 1132 Zhang et al. [4] SLM 323 1126 849 SLM + Solution + aging 423 1371 1084 SLM + Homogenization + Solution + aging 417 1371 1046 17 [1] Amato et al. Microstructures and mechanical behavior of Inconel 718 fabricated by selective laser melting. Acta Materialia, vol. 60, pp. 2229-2239. 2012. [2] Chlebus et al. Effect of heat treatment on the microstructure and mechanical properties of Inconel 718 processed by selective laser melting. Materials Science and Engineering: A, vol. 639, pp. 647-655. 2015. [3] Wang et al. The microstructure and mechanical properties of deposited-in718 by selective laser melting. Journal of Alloys and Compounds, vol. 513, pp. 518-523. 2012. [4] Zhang et al. Effect of standard heat treatment on the microstructure and mechanical properties of selective laser melting manufactured Inconel 718 superalloy. Materials Science and Engineering: A, vol. 644, pp. 32-40. 2015.

Mechanical properties of SLM-manufactured Alloy 718 Hardness SLM [4] SLM + SOLUTION + AGING 323 423 SLM [3] SLM + SOLUTION + AGING 365 470 SLM [2] SLM + SOLUTION + AGING 313 463 SLM [1] SLM + HIP 398 571 0 100 200 300 400 500 600 [HV] 18