PDF (6.2 MB)
Collect
Submit Manuscript
Show Outline
Figures (12)

Show 3 more figures Hide 3 figures
Tables (3)
Table 1
Table 2
Table 3
Research Article | Open Access | Online First

Multi-scale simulation of thermal processes and microstructure evolution in wire arc additive manufacturing of 921A steel

Lei Shi1()Xiaohui Lyu1Ji Chen1Chuansong Wu1Ashish Kumar1Ming Zhai2Wenjian Ren3
MOE Key Lab for Liquid–Solid Structure Evolution and Materials Processing, Institute of Materials Joining, Shandong University, Jinan 250061, China
Metals and Chemistry Research Institute, China Academy of Railway Sciences Co., Ltd., Beijing 100081, China
Shandong Aotai Electric Co., Ltd., Jinan 250101, China
Show Author Information

Graphical Abstract

View original image Download original image

Abstract

Wire arc additive manufacturing (WAAM) offers distinct advantages, including low equipment cost, high deposition efficiency, and suitability for fabricating large-scale components. 921A steel (10CrNi3MoV) is widely used in the offshore industry and shipbuilding, making the development of WAAM technology for 921A steel crucial for manufacturing and repairing ship components. In this study, a two-dimensional melting‒solidification model was developed to investigate the melt pool dynamics and microstructure evolution during the WAAM process. This model integrates computational fluid dynamics (CFD) with the cellular automata (CA) method, utilizing the open-source ExaCA code for microstructural simulation. The model successfully predicted the temperature and flow fields, as well as the microstructural evolution within the deposition layer. Macroscopic metallography revealed columnar grains aligned with the heat flow direction, accompanied by acicular and granular ferrite, as well as bainitic morphologies. The simulated forming dimensions at various deposition speeds agreed reasonably well with the experimental results. An increased deposition speed reduced the fluid flow intensity within the molten pool. The ExaCA simulation demonstrated that columnar grains grew perpendicular to the fusion line, whereas nucleated equiaxed grains formed in the center of the molten pool under low-temperature gradients, obstructing the progression of the original columnar grains.

References

[1]

Yi H, Jia L, Ding JL, et al. Achieving material diversity in wire arc additive manufacturing: Leaping from alloys to composites via wire innovation. Int J Mach Tools Manuf 2024, 194: 104103.

[2]

Bayat M, Zinovieva O, Ferrari F, et al. Holistic computational design within additive manufacturing through topology optimization combined with multiphysics multi-scale materials and process modelling. Prog Mater Sci 2023, 138: 101129.

[3]

Zhang XT, Wang L, Zhao N, et al. The effect of thermal cycle on microstructure evolution and mechanical properties of Co-free maraging steel produced by wire arc additive manufacturing. J Mater Process Technol 2024, 332: 118582.

[4]

Li C, Duan CH, Qi YC, et al. Effect of shielding gas on MIG welding performance with austenitic wire. Mater Lett 2023, 339: 134118.

[5]

Peng K, Yang CL, Lin SB, et al. Thermal cycles and its effect on HAZ microstructure and mechanical properties of 10CrNi3MoV steel in double-sided double arc welding. Int J Adv Manuf Technol 2017, 93: 967–974.

[6]

Tian G, Wang XM, Wang WY, et al. Microstructure, mechanical properties, and galvanic corrosion of 10CrNi3MoV fabricated by wire arc additive manufacturing. Metals 2021, 11: 1235.

[7]

Ou W, Mukherjee T, Knapp GL, et al. Fusion zone geometries, cooling rates and solidification parameters during wire arc additive manufacturing. Int J Heat Mass Tran 2018, 127: 1084–1094.

[8]

Cadiou S, Courtois M, Carin M, et al. 3D heat transfer, fluid flow and electromagnetic model for cold metal transfer wire arc additive manufacturing (Cmt-Waam). Addit Manuf 2020, 36: 101541.

[9]

Ji FL, Qin XP, Hu ZQ, et al. Influence of ultrasonic vibration on molten pool behavior and deposition layer forming morphology for wire and arc additive manufacturing. Int Commun Heat Mass 2022, 130: 105789.

[10]

Rodrigues TA, Duarte V, Avila JA, et al. Wire and arc additive manufacturing of HSLA steel: Effect of thermal cycles on microstructure and mechanical properties. Addit Manuf 2019, 27: 440–450.

[11]
Meier C, Penny RW, Zou Y, et al. Thermophysical phenomena in metal additive manufacturing by selective laser melting: Fundamentals, modeling, simulation and experimentation. In: Annual Review of Heat Transfer, Zhang ZM, Prasad V, Jaluria Y, Eds. Danbury (USA): Begell House Inc., 2017: 241–316.
[12]

Chen JW, Huang CY, Lian YP, et al. Numerical simulation on metallic additive manufacturing. Sci Sin Phys Mech Astron 2020, 50: 090007.

[13]

Körner C, Markl M, Koepf JA. Modeling and simulation of microstructure evolution for additive manufacturing of metals: A critical review. Metall Mater Trans A 2020, 51: 4970–4983.

[14]

Yang Z, Sista S, Elmer JW, et al. Three dimensional Monte Carlo simulation of grain growth during GTA welding of titanium. Acta Mater 2000, 48: 4813–4825.

[15]

Mishra S, DebRoy T. Measurements and Monte Carlo simulation of grain growth in the heat-affected zone of Ti–6Al–4V welds. Acta Mater 2004, 52: 1183–1192.

[16]

Tourret D, Song Y, Clarke AJ, et al. Grain growth competition during thin-sample directional solidification of dendritic microstructures: A phase-field study. Acta Mater 2017, 122: 220–235.

[17]

Echebarria B, Folch R, Karma A, et al. Quantitative phase-field model of alloy solidification. Phys Rev E 2004, 70: 061604.

[18]

Rappaz M, Gandin CA. Probabilistic modelling of microstructure formation in solidification processes. Acta Metall Mater 1993, 41: 345–360.

[19]

Gandin CA, Rappaz M. A coupled finite element-cellular automaton model for the prediction of dendritic grain structures in solidification processes. Acta Metall Mater 1994, 42: 2233–2246.

[20]

Janssens KGF. Random grid, three-dimensional, space-time coupled cellular automata for the simulation of recrystallization and grain growth. Model Simul Mater Sc 2003, 11: 157–171.

[21]

Koepf JA, Soldner D, Ramsperger M, et al. Numerical microstructure prediction by a coupled finite element cellular automaton model for selective electron beam melting. Comput Mater Sci 2019, 162: 148–155.

[22]

Shi RP, Khairallah S, Heo TW, et al. Integrated simulation framework for additively manufactured Ti–6Al–4V: Melt pool dynamics, microstructure, solid-state phase transformation, and microelastic response. JOM 2019, 71: 3640–3655.

[23]

Zinoviev A, Zinovieva O, Ploshikhin V, et al. Evolution of grain structure during laser additive manufacturing. Simulation by a cellular automata method. Mater Des 2016, 106: 321–329.

[24]

Gu C, Wei Y, Zhan X, et al. A three-dimensional cellular automaton model of dendrite growth with stochastic orientation during the solidification in the molten pool of binary alloy. Sci Technol Weld Joi 2017, 22: 47–58.

[25]

Chen SJ, Guillemot G, Gandin CA. Three-dimensional cellular automaton-finite element modeling of solidification grain structures for arc-welding processes. Acta Mater 2016, 115: 448–467.

[26]

Xue CD, Blanc N, Soulié F, et al. Structure and texture simulations in fusion welding processes–comparison with experimental data. Materialia 2022, 21: 101305.

[27]

Koepf JA, Gotterbarm MR, Markl M, et al. 3D multi-layer grain structure simulation of powder bed fusion additive manufacturing. Acta Mater 2018, 115: 119–126.

[28]

Rolchigo M, Reeve ST, Stump B, et al. ExaCA: A performance portable exascale cellular automata application for alloy solidification modeling. Comput Mater Sci 2022, 214: 111692.

[29]

Rolchigo M, Carson R, Belak J. Understanding uncertainty in microstructure evolution and constitutive properties in additive process modeling. Metals 2022, 12: 324.

[30]

Cho DW, Cho WI, Na SJ. Modeling and simulation of arc: Laser and hybrid welding process. J Manuf Process 2014, 16: 26–55.

[31]

Gao ZG, Wu YX, Huang J. Analysis of weld pool dynamic during stationary laser–MIG hybrid welding. Int J Adv Manuf Technol 2009, 44: 870–879.

[32]

Li JH, Zhou XL, Brochu M, et al. Solidification microstructure simulation of Ti–6Al–4V in metal additive manufacturing: A review. Addit Manuf 2020, 31: 100989.

[33]

Liang GD, Qin GL, Cao PZ, et al. Numerical investigation of sidewall penetration in narrow gap oscillating laser welding process. Opt Laser Technol 2024, 170: 110282.

[34]

Wu DS, Tashiro S, Wu ZA, et al. Analysis of heat transfer and material flow in hybrid KPAW–GMAW process based on the novel three dimensional CFD simulation. Int J Heat Mass Tran 2020, 147: 118921.

[35]

Song W, Liu XS, Wang P, et al. Strength mismatch effect on residual stress of 10CrNi3MoV steel considering the back-chipping process. Int J Press Vessels Pip 2022, 195: 104570.

[36]

Rai A, Helmer H, Körner C. Simulation of grain structure evolution during powder bed based additive manufacturing. Addit Manuf 2017, 13: 124–134.

[37]

Kurz W, Giovanola B, Trivedi R. Theory of microstructural development during rapid solidification. Acta Metall 1986, 34: 823–830.

[38]

Li XX, Tan WD. Numerical investigation of effects of nucleation mechanisms on grain structure in metal additive manufacturing. Comput Mater Sci 2018, 153: 159–169.

[39]

Lian YP, Lin S, Yan WT, et al. A parallelized three-dimensional cellular automaton model for grain growth during additive manufacturing. Comput Mech 2018, 61: 543–558.

[40]

Antonysamy AA, Meyer J, Prangnell PB. Effect of build geometry on the β-grain structure and texture in additive manufacture of Ti–6Al–4V by selective electron beam melting. Mater Charact 2013, 84: 153–168.

[41]

Al-Bermani SS, Blackmore ML, Zhang W, et al. The origin of microstructural diversity, texture, and mechanical properties in electron beam melted Ti–6Al–4V. Metall Mater Trans A 2010, 41: 3422–3434.

[42]

Bachmann F, Hielscher R, Schaeben H. Texture analysis with MTEX–free and open source software toolbox. Solid State Phenom 2010, 160: 63–68.

Materials and Solidification
Cite this article:
Shi L, Lyu X, Chen J, et al. Multi-scale simulation of thermal processes and microstructure evolution in wire arc additive manufacturing of 921A steel. Materials and Solidification, 2025, https://doi.org/10.26599/MAS.2025.9580003
Metrics & Citations  
Article History
Copyright
Rights and Permissions
Return