Single-track geometrical characteristics under different energy input and mass addition in coaxial laser cladding

Yan-Hua Bian , Chong-Xin Tian , Bo Chen , Bin-Xin Dong , Shao-Xia Li , Zhi-Yong Li , Yang-Rui Nan , Xiu-Li He , Gang Yu

Advances in Manufacturing ›› : 1 -22.

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Advances in Manufacturing ›› : 1 -22. DOI: 10.1007/s40436-023-00478-6
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Single-track geometrical characteristics under different energy input and mass addition in coaxial laser cladding

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Abstract

To provide a broad processing window with a high deposition rate, a comprehensive analysis of single-track geometrical characteristics over a wide range of laser energies and mass inputs in laser cladding is necessary. The formation of a single cladding track of Inconel 718 on a substrate by coaxial laser cladding, with a wide range of laser power from 1 200 W to 3 900 W and a powder feeding rate from 5 g/min to 35 g/min, was studied from both theoretical and experimental points of view. A quantitative model of powder concentration distribution was developed based on the powder transport morphology obtained by high-speed photography. Linear regression models were established between nine geometrical characteristics and the combined process parameters of laser power and powder feeding rate, written as P α F β, to quantitatively analyze the geometrical characteristics of the clad. These were confirmed by large correlation coefficients and analysis of residuals. From the findings we deduced that more energy input enhanced the outward direction of Marangoni convection, leading to the melt pool undergoing evolution from shallow dilution and flat dilution to fluctuating dilution. An almost linear relationship was found between the cladding width, W, and the laser power, indicating that laser energy accumulation was a major factor in the evolution of W. The increase ratio of the cladding height, h c, ranged from 640% to 360% along with an increase in the powder feeding rate, implying that the evolution of h c, was dominated by the powder feeding rate. The total area of the cross-section, A; the area of the clad, A c; the area of the molten substrate, A m; the total height of the cross-section, H; the penetration depth, h m; the dilution ratio, D; and the wetting angle, θ, were determined by a complex coupling of energy input and mass accumulation, and they are proportional to P 0.5 F 0.2, P 0.2 F 0.5, P 0.5/F 0.2, P 0.3 F, P 0.5/F 0.2, P 0.2/F 0.2, and P 0.2/F 0.2, respectively. This research aims to provide general knowledge on the influence of energy input and mass addition on the geometrical characteristics of the clad and its related influence mechanism. Such information could provide a reference and basis for promoting the practical application of laser cladding technology.

Keywords

Laser cladding / Inconel 718 / Clad geometry / Linear regression analysis / Powder concentration

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Yan-Hua Bian, Chong-Xin Tian, Bo Chen, Bin-Xin Dong, Shao-Xia Li, Zhi-Yong Li, Yang-Rui Nan, Xiu-Li He, Gang Yu. Single-track geometrical characteristics under different energy input and mass addition in coaxial laser cladding. Advances in Manufacturing 1-22 DOI:10.1007/s40436-023-00478-6

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References

[1]

Zhang DK, Yu RQ, Chen K, et al. Corrosion and corrosion-friction properties of plasma cladding wear-resistant layer on Fe-based alloy. Mater Res Express, 2018, 5(2): .

[2]

Tarasova T, Gvozdeva G, Ableyeva R. Aluminium matrix composites produced by laser based additive manufacturing. Mater Today Proc, 2019, 11: 305-310.

[3]

Onuike B, Heer B, Bandyopadhyay A. Additive manufacturing of Inconel 718-Copper alloy bimetallic structure using laser engineered net shaping (LENS (TM)). Addit Manuf, 2018, 21: 133-140.

[4]

Liu ZC, Jiang QH, Li T, et al. Environmental benefits of remanufacturing: a case study of cylinder heads remanufactured through laser cladding. J Clean Prod, 2016, 133: 1027-1033.

[5]

Hosseini E, Popovich VA. A review of mechanical properties of additively manufactured Inconel 718. Addit Manuf, 2019, 30.

[6]

Lewandowski JJ, Seifi M. Metal additive manufacturing: a review of mechanical properties. Annu Rev Mater Res, 2016, 46(1): 151-186.

[7]

Shao JY, Yu G, Li SX, et al. Crystal growth control of Ni-based alloys by modulation of the melt pool morphology in DED. J Alloys Compd, 2022, 898(25): .

[8]

Limmaneevichitr C, Kou S. Experiments to simulate effect of Marangoni convection on weld pool shape. Weld J, 2000, 79(8): 231S-237S.

[9]

Wei PS, Ting CN, Yeh JS, et al. Origin of wavy weld boundary. J Appl Phys, 2009, 105(5): .

[10]

Robert A, Debroy T. Geometry of laser spot welds from dimensionless numbers. Metall Mater Trans B, 2001, 32(5): 941-947.

[11]

Lu NN, Lei ZL, Yu XF, et al. Effects of melt convection on stray grain formation in single crystal superalloys during directed energy deposition. Addit Manuf, 2021, 48.

[12]

Zhang J, Yang L, Zhang W, et al. Numerical simulation and experimental study for aerodynamic characteristics and powder transport behavior of novel nozzle. Opt Laser Eng, 2020, 126.

[13]

Kovalev OB, Kovaleva IO, Smurov IY. Numerical investigation of gas-disperse jet flows created by coaxial nozzles during the laser direct material deposition. J Mater Process Technol, 2017, 249: 118-127.

[14]

Nagulin KY, Iskhakov FR, Shpilev AI, et al. Optical diagnostics and optimization of the gas-powder flow in the nozzles for laser cladding. Opt Laser Technol, 2018, 108: 310-320.

[15]

Tan H, Zhang FY, Wen RJ, et al. Experiment study of powder flow feed behavior of laser solid forming. Opt Laser Eng, 2012, 50(3): 391-398.

[16]

Wu JZ, Zhao PH, Wei HY, et al. Development of powder distribution model of discontinuous coaxial powder stream in laser direct metal deposition. Powder Technol, 2018, 340: 449-458.

[17]

Amirjan M, Khodabandeh M. Correlation between processing parameters in direct metal deposition of IN625 Nickel-base superalloy. J Mater Eng Perform, 2022, 31: 1373-1386.

[18]

Shayanfar P, Daneshmanesh H, Janghorban K. Parameters optimization for laser cladding of Inconel 625 on ASTM A592 steel. J Mater Res Technol, 2020, 9(4): 8258-8265.

[19]

Mazzarisi M, Campanelli SL, Angelastro A, et al. Phenomenological modelling of direct laser metal deposition for single tracks. Int J Adv Manuf Technol, 2020, 111(7/8): 1955-1970.

[20]

Alizadeh-Sh M, Marashi SPH, Ranjbarnodeh E, et al. Laser cladding of Inconel 718 powder on a non-weldable substrate: clad bead geometry-solidification cracking relationship. J Manuf Process, 2020, 56: 54-62.

[21]

Jelvani S, Razavi RS, Barekat M, et al. Empirical-statistical modeling and prediction of geometric characteristics for laser-aided direct metal deposition of Inconel 718 superalloy. Met Mater Int, 2020, 26(5): 668-681.

[22]

Bax B, Rajput R, Kellet R, et al. Systematic evaluation of process parameter maps for laser cladding and directed energy deposition. Addit Manuf, 2018, 21: 487-494.

[23]

Nabhani M, Razavi RS, Barekat M. An empirical-statistical model for laser cladding of Ti-6Al-4V powder on Ti-6Al-4V substrate. Opt Laser Technol, 2018, 100: 265-271.

[24]

Erfanmanesh M, Abdollah-Pour H, Mohammadian-Semnani H, et al. An empirical-statistical model for laser cladding of WC-12Co powder on AISI 321 stainless steel. Opt Laser Technol, 2017, 97: 180-186.

[25]

Ansari M, Razavi RS, Barekat M. An empirical-statistical model for coaxial laser cladding of NiCrAlY powder on Inconel 738 superalloy. Opt Laser Technol, 2016, 86: 136-144.

[26]

Barekat M, Razavi RS, Ghasemi A. Nd: YAG laser cladding of Co-Cr-Mo alloy on γ-TiAl substrate. Opt Laser Technol, 2016, 80: 145-152.

[27]

El Cheikh H, Courant B, Branchu S, et al. Analysis and prediction of single laser tracks geometrical characteristics in coaxial laser cladding process. Opt Laser Eng, 2012, 50(3): 413-422.

[28]

Ocelík V, de Oliveira U, de Boer M, et al. Thick Co-based coating on cast iron by side laser cladding: analysis of processing conditions and coating properties. Surf Technol, 2007, 201(12): 5875-5883.

[29]

de Oliveira U, Ocelik V, De Hosson JTM. Analysis of coaxial laser cladding processing conditions. Surf Technol, 2005, 197(2/3): 127-136.

[30]

Costa L, Felde I, Reti T, et al. Simplified semi-empirical method to select the processing parameters for laser clad coatings. Mater Sci Forum, 2003, 414/415: 385-394.

[31]

El Cheikh H, Courant B, Hascoet JY. Prediction and analytical description of the single laser track geometry in direct laser fabrication from process parameters and energy balance reasoning. J Mater Process Technol, 2012, 212(9): 1832-1839.

[32]

Davim JP, Oliveira C, Cardoso A. Predicting the geometric form of clad in laser cladding by powder using multiple regression analysis (MRA). Mater Des, 2008, 29(2): 554-557.

[33]

Gullipalli C, Thawari N, Chandak A. Statistical analysis of clad geometry in direct energy deposition of Inconel 718 single tracks. J Mater Eng Perform, 2022, 31(8): 6922-6932.

[34]

Zhao Y, Guan C, Chen LY, et al. Effect of process parameters on the cladding track geometry fabricated by laser cladding. Optik, 2020, 223.

[35]

Pant P, Chatterjee D, Nandi T, et al. Statistical modelling and optimization of clad characteristics in laser metal deposition of austenitic stainless steel. J Braz Soc Mech Sci Eng, 2019, 41: 283.

[36]

Saqib S, Urbanic RJ, Aggarwal K. Analysis of laser cladding bead morphology for developing additive manufacturing travel paths. Procedia CIRP, 2014, 17: 824-829.

[37]

Sun YW, Hao MZ. Statistical analysis and optimization of process parameters in Ti6Al4V laser cladding using Nd: YAG laser. Opt Laser Eng, 2012, 50(7): 985-995.

[38]

Zhang J, Zhang QL, Chen ZJ, et al. Experimental and statistical analyses of geometry characteristics of Inconel 718 laser clad layer with response surface methodology. J Laser Appl, 2019, 31(3): .

[39]

Wang SH, Zhu LD, Fuh JYH, et al. Multi-physics modeling and Gaussian process regression analysis of cladding track geometry for direct energy deposition. Opt Laser Eng, 2020, 127.

[40]

Pant P, Chatterjee D. Prediction of clad characteristics using ANN and combined PSO-ANN algorithms in laser metal deposition process. Surf Interfaces, 2020, 21.

[41]

Guo CG, He SZ, Yue HT, et al. Prediction modelling and process optimization for forming multi-layer cladding structures with laser directed energy deposition. Opt Laser Technol, 2021, 134.

[42]

Nenadl O, Kuipers W, Koelewijn N, et al. A versatile model for the prediction of complex geometry in 3D direct laser deposition. Surf Coat Technol, 2016, 307: 292-300.

[43]

Guo PF, Lin X, Ren YM, et al. Microstructure and electrochemical anodic behavior of Inconel 718 fabricated by high-power laser solid forming. Electrochim Acta, 2018, 276: 247-260.

[44]

Ren YM, Lin X, Fu X, et al. Microstructure and deformation behavior of Ti-6A1-4V alloy by high-power laser solid forming. Acta Mater, 2017, 132: 82-95.

[45]

Zhong CL, Gasser A, Backes G, et al. Laser additive manufacturing of Inconel 718 at increased deposition rates. Mater Sci Eng A-Struct, 2022, 844.

[46]

Bian YH, He XL, Yu G, et al. Powder-flow behavior and process mechanism in laser directed energy deposition based on determined restitution coefficient from inverse modeling. Powder Technol, 2022, 402.

[47]

Toyserkani E, Khajepour A, Corbin S. 3-D finite element modeling of laser cladding by powder injection: effects of laser pulse shaping on the process. Opt Laser Eng, 2004, 41(6): 849-867.

[48]

Atamert S, Bhadeshia H. Comparison of the microstructures and abrasive wear properties of stellite hardfacing alloys deposited by arc welding and laser cladding. Metall Trans A, 1989, 20: 1037-1054.

[49]

Gedda H, Powell J, Wahlstrom G, et al. Energy redistribution during CO2 laser cladding. J Laser Appl, 2002, 14(2): 78-82.

[50]

Lee YS, Nordin M, Babu SS, et al. Influence of fluid convection on weld pool formation in laser cladding a transient 3D transport model was used to generate insight into details of melt pool formation, fluid convection, and solidification in Inconel (R) 718 laser claddings. Weld J, 2014, 93(8): 292S-300S.

[51]

Parent A, Morin M, Lavigne P. Propagation of super-Gaussian field distributions. Opt Quantum Electron, 1992, 24: 1071-1079.

[52]

Wei PS, Liu HJ, Lin CL. Scaling weld or melt pool shape induced by thermocapillary convection. Int J Heat Mass Transf, 2012, 55(9/10): 2328-2337.

[53]

Mills KC, Youssef YM, Li ZS, et al. Calculation of thermophysical properties of Ni-based superalloys. ISIJ Int, 2006, 46(5): 623-632.

[54]

Sahoo P, Debroy T, Mcnallan MJ. Surface tension of binary metal—surface active solute systems under conditions relevant to welding metallurgy. Metall Trans B, 1988, 19(3): 483-491.

Funding

the National Natural Science Foundation of China(11672304)

plan of Beijing Municipal Commission of Science and Technology(Z181100003818015)

the National Natural Science Foundation of China(11502269)

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