[1] [1] Alcisto Jet al2011 Tensile properties and microstructures of laser-formed Ti-6Al-4VJ. Mater. Eng. Perform.20203–12

[2] [2] Pant H, Arora A, Gopakumar G S, Chadha U, Saeidi A and Patterson A E 2023 Applications of wire arc additive manufacturing (WAAM) for aerospace component manufacturingInt. J. Adv. Manuf. Technol.1274995–5011

[3] [3] Leal R, Barreiros F M, Alves L, Romeiro F, Vasco J C, Santos M and Marto C 2017 Additive manufacturing tooling for the automotive industryInt. J. Adv. Manuf. Technol.921671–6

[4] [4] Puppi D and Chiellini F 2020 Biodegradable polymers for biomedical additive manufacturingAppl. Mater. Today20100700

[5] [5] Li J Y, Duan C H, Zhao M H and Luo X P 2019 A review of metal additive manufacturing application and numerical simulationIOP Conf. Ser.: Earth Environ. Sci.252022036

[6] [6] Bikas H, Stavropoulos P and Chryssolouris G 2016 Additive manufacturing methods and modelling approaches: a critical reviewInt. J. Adv. Manuf. Technol.83389–405

[7] [7] Appleyard D 2015 Powering up on powder technologyMet. Powder Rep.70285–9

[8] [8] Rosli N A, Alkahari M R, Abdollah M F B, Maidin S, Ramli F R and Herawan S G 2021 Review on effect of heat input for wire arc additive manufacturing processJ. Mater. Res. Technol.112127–45

[9] [9] Tabernero I, Paskual A, lvarez P and Surez A I 2018 Study on arc welding processes for high deposition rate additive manufacturingProc. CIRP68358–62

[10] [10] Cunningham C R, Wikshland S, Xu F, Kemakolam N, Shokrani A, Dhokia V and Newman S T 2017 Cost modelling and sensitivity analysis of wire and arc additive manufacturingProc. Manuf.11650–7

[11] [11] Panchenko O, Kurushkin D, Isupov F, Naumov A, Kladov I and Surenkova M 2021 Gas metal arc welding modes in wire arc additive manufacturing of Ti-6Al-4VMaterials142457

[12] [12] Geng H B, Li J L, Xiong J T, Lin X and Zhang F S 2017 Optimization of wire feed for GTAW based additive manufacturingJ. Mater. Process. Technol.24340–47

[13] [13] Duan X M, Li Q, Xie W R and Yang X D 2023 Wire arc metal additive manufacturing using pulsed arc plasma (PAP-WAAM) for effective heat managementJ. Mater. Process. Technol.311117806

[14] [14] Ding D H, Pan Z X, Cuiuri D, Li H J, Larkin N and van Duin S 2016 Automatic multi-direction slicing algorithms for wire based additive manufacturingRobot. Comput. Integr. Manuf.37139–50

[15] [15] Ding D H, Pan Z X, Cuiuri D, Li H J and Larkin N 2016 Adaptive path planning for wire-feed additive manufacturing using medial axis transformationJ. Clean. Prod.133942–52

[16] [16] Ding D H, Pan Z X, Cuiuri D, Li H J, van Duin S and Larkin N 2016 Bead modelling and implementation of adaptive MAT path in wire and arc additive manufacturingRobot. Comput. Integr. Manuf.3932–42

[17] [17] Ramalho A, Santos T G, Bevans B, Smoqi Z, Rao P and Oliveira J P 2022 Effect of contaminations on the acoustic emissions during wire and arc additive manufacturing of 316L stainless steelAddit. Manuf.51102585

[18] [18] Yuan L, Ding D H, Pan Z X, Yu Z P, Wu B T, van Duin S, Li H J and Li W H 2020 Application of multidirectional robotic wire arc additive manufacturing process for the fabrication of complex metallic partsIEEE Trans. Ind. Inf.16454–64

[19] [19] Lopes J G, Machado C M, Duarte V R, Rodrigues T A, Santos T G and Oliveira J P 2020 Effect of milling parameters on HSLA steel parts produced by wire and arc additive manufacturing (WAAM)J. Manuf. Process.59739–49

[20] [20] Yildiz A S, Davut K, Koc B and Yilmaz O 2020 Wire arc additive manufacturing of high-strength low alloy steels: study of process parameters and their influence on the bead geometry and mechanical characteristicsInt. J. Adv. Manuf. Technol.1083391–404

[21] [21] Chandrasekaran S, Hari S and Amirthalingam M 2020 Wire arc additive manufacturing of functionally graded material for marine risersMater. Sci. Eng.A792139530

[22] [22] Fu R, Lu W J, Guo Y L, Lei H S, Cui Y N, Wang J R, Gao D, Wang J C and Liu C M 2022 Achieving high strength-ductility of Al-Zn-Mg-Cu alloys via hot-wire arc additive manufacturing enabled by strengthening precipitatesAddit. Manuf.58103042

[23] [23] Klein T, Schnall M, Gomes B, Warczok P, Fleischhacker D and Morais P J 2021 Wire-arc additive manufacturing of a novel high-performance Al-Zn-Mg-Cu alloy: processing, characterization and feasibility demonstrationAddit. Manuf.37101663

[24] [24] Halisch C, Milcke B, Radel T, Rentsch R and Seefeld T 2023 Influence of oxygen content in the shielding gas chamber on mechanical properties and macroscopic structure of Ti-6Al-4V during wire arc additive manufacturingInt. J. Adv. Manuf. Technol.1241065–76

[25] [25] Alonso U, Veiga F, Surez A and Gil Del Val A 2021 Characterization of Inconel 718®superalloy fabricated by wire arc additive manufacturing: effect on mechanical properties and machinabilityJ. Mater. Res. Technol.142665–76

[26] [26] Xiong J, Yin Z Q and Zhang W H 2016 Forming appearance control of arc striking and extinguishing area in multi-layer single-pass GMAW-based additive manufacturingInt. J. Adv. Manuf. Technol.87579–86

[27] [27] Bermingham M J, Nicastro L, Kent D, Chen Y and Dargusch M S 2018 Optimising the mechanical properties of Ti-6Al-4V components produced by wire + arc additive manufacturing with post-process heat treatmentsJ. Alloys Compd.753247–55

[28] [28] He F Y, Yuan L, Mu H C, Ros M, Ding D H, Pan Z X and Li H J 2023 Research and application of artificial intelligence techniques for wire arc additive manufacturing: a state-of-the-art reviewRobot. Comput. Integr. Manuf.82102525

[29] [29] Zhou X M, Zhang H O, Wang G L and Bai X W 2016 Three-dimensional numerical simulation of arc and metal transport in arc welding based additive manufacturingInt. J. Heat Mass Transfer103521–37

[30] [30] Li F, Chen S J, Shi J B and Zhao Y 2019 In-process control of distortion in wire and arc additive manufacturing based on a flexible multi-point support fixtureSci. Technol. Weld. Join.2436–42

[31] [31] Montevecchi F, Venturini G, Scippa A and Campatelli G 2016 Finite element modelling of wire-arc-additive-manufacturing processProc. CIRP55109–14

[32] [32] Krner C, Markl M and Koepf J A 2020 Modeling and simulation of microstructure evolution for additive manufacturing of metals: a critical reviewMetall. Mater. Trans.A514970–83

[33] [33] Tan J H K, Sing S L and Yeong W Y 2020 Microstructure modelling for metallic additive manufacturing: a reviewVirtual Phys. Prototyp.1587–105

[34] [34] Srivastava S, Garg R K, Sharma V S and Sachdeva A 2021 Measurement and mitigation of residual stress in wire-arc additive manufacturing: a review of macro-scale continuum modelling approachArch. Comput. Methods Eng.283491–515

[35] [35] Wang L, Guo Q L, Chen L Y and Yan W T 2023In-situexperimental and high-fidelity modeling tools to advance understanding of metal additive manufacturingInt. J. Mach. Tools Manuf.193104077

[36] [36] Papazoglou E L, Karkalos N E, Karmiris-Obrataski P and Markopoulos A P 2022 On the modeling and simulation of SLM and SLS for metal and polymer powders: a reviewArch. Comput. Methods Eng.29941–73

[37] [37] Cook P S and Murphy A B 2020 Simulation of melt pool behaviour during additive manufacturing: underlying physics and progressAddit. Manuf.31100909

[38] [38] Wang X X, Zhang J, Tashiro S and Tanaka M 2024 Study of molten pool dynamics in keyhole TIG welding by numerical modellingJ. Manuf. Process.119827–41

[39] [39] Marinelli G, Martina F, Ganguly S and Williams S 2020 Grain refinement in an unalloyed tantalum structure by combining wire + arc additive manufacturing and vertical cold rollingAddit. Manuf.32101009

[40] [40] Jia Y, Naceur H, Saadlaoui Y, Dubar L and Bergheau J M 2024 A comprehensive comparison of modeling strategies and simulation techniques applied in powder-based metallic additive manufacturing processesJ. Manuf. Process.1101–29

[41] [41] Mller J and Hensel J 2024 Potential of thermography for the monitoring of DED-arc processesWeld. World68505–13

[42] [42] Sharma S, Joshi S S, Pantawane M V, Radhakrishnan M, Mazumder S and Dahotre N B 2023 Multiphysics multi-scale computational framework for linking process-structure-property relationships in metal additive manufacturing: a critical reviewInt. Mater. Rev.68943–1009

[43] [43] Turner J Aet al2022 ExaAM: metal additive manufacturing simulation at the fidelity of the microstructureInt. J. High Perform. Comput. Appl.3613–39

[44] [44] D'Emilia G, Di Ilio A, Gaspari A, Natale E, Perilli R and Stamopoulos A G 2019 The role of measurement and simulation in additive manufacturing within the frame of Industry 4.0Proc. 2019 II Workshop on Metrology for Industry 4.0 and IoT(IEEE) pp 382–7

[45] [45] Li R, Xiong J and Lei Y Y 2019 Investigation on thermal stress evolution induced by wire and arc additive manufacturing for circular thin-walled partsJ. Manuf. Process.4059–67

[46] [46] Moreira C A, Caicedo M A, Cervera M, Chiumenti M and Baiges J 2022 A multi-criteriah-adaptive finite-element framework for industrial part-scale thermal analysis in additive manufacturing processesEng. Comput.384791–813

[47] [47] Liang X, Cheng L, Chen Q, Yang Q C and To A C 2018 A modified method for estimating inherent strains from detailed process simulation for fast residual distortion prediction of single-walled structures fabricated by directed energy depositionAddit. Manuf.23471–86

[48] [48] Zhou J B, Barrett R A and Leen S B 2022 Three-dimensional finite element modelling for additive manufacturing of Ti-6Al-4V components: effect of scanning strategies on temperature history and residual stressJ. Adv. Join. Process.5100106

[49] [49] Huang H, Ma N S, Murakawa H and Feng Z L 2019 A dual-mesh method for efficient thermal stress analysis of large-scale welded structuresInt. J. Adv. Manuf. Technol.103769–80

[50] [50] Qvale P, Njaastad E B, Brin T and Ren X B 2024 A fast simulation method for thermal management in wire arc additive manufacturing repair of a thin-walled structureInt. J. Adv. Manuf. Technol.1321573–83

[51] [51] Zhao X F, Wimmer A and Zaeh M F 2023 Experimental and simulative investigation of welding sequences on thermally induced distortions in wire arc additive manufacturingRapid Prototyp. J.2953–63

[52] [52] Ma N S 2016 An accelerated explicit method with GPU parallel computing for thermal stress and welding deformation of large structure modelsInt. J. Adv. Manuf. Technol.872195–1

[53] [53] Bai X W, Colegrove P, Ding J L, Zhou X M, Diao C L, Bridgeman P, Roman Hnnige J, Zhang H O and Williams S 2018 Numerical analysis of heat transfer and fluid flow in multilayer deposition of PAW-based wire and arc additive manufacturingInt. J. Heat Mass Transfer124504–16

[54] [54] Ding J, Colegrove P, Mehnen J, Williams S, Wang F and Almeida P S 2014 A computationally efficient finite element model of wire and arc additive manufactureInt. J. Adv. Manuf. Technol.70227–36

[55] [55] Malmelv A, Lundbck A and Lindgren L-E 2020 History reduction by lumping for time-efficient simulation of additive manufacturingMetals1058

[56] [56] Lu Y H, Zhu S C, Zhao Z T, Chen T L and Zeng J 2020 Numerical simulation of residual stresses in aluminum alloy welded jointsJ. Manuf. Process.50380–93

[57] [57] Huang W J, Wang Q, Ma N S and Kitano H 2022 Distribution characteristics of residual stresses in typical wall and pipe components built by wire arc additive manufacturingJ. Manuf. Process.82434–47

[58] [58] Hashemi S M, Parvizi S, Baghbanijavid H, Tan A T L, Nematollahi M, Ramazani A, Fang N X and Elahinia M 2022 Computational modelling of process-structure-property-performance relationships in metal additive manufacturing: a reviewInt. Mater. Rev.671–46

[59] [59] Ikram A and Chung H 2022 Computational analysis of metal transfer mode, dynamics, and heat transfer under different pulsating frequencies in pulsed wire-arc additive manufacturingJ. Comput. Des. Eng.91045–63

[60] [60] Jayanath S and Achuthan A 2018 A computationally efficient finite element framework to simulate additive manufacturing processesJ. Manuf. Sci. Eng.140041009

[61] [61] Michopoulos J G, Iliopoulos A P, Steuben J C, Birnbaum A J and Lambrakos S G 2018 On the multiphysics modeling challenges for metal additive manufacturing processesAddit. Manuf.22784–99

[62] [62] Ahmad S N, Manurung Y H P, Adenan M S, Yusof F, Mat M F, Prajadhiana K P, Minggu Z, Leitner M and Saidin S 2022 Experimental validation of numerical simulation on deformation behaviour induced by wire arc additive manufacturing with feedstock SS316L on substrate S235Int. J. Adv. Manuf. Technol.1191951–64

[63] [63] Farias F W C, da Cruz Payo Filho J, Moraes E and Oliveira V H P 2021 Prediction of the interpass temperature of a wire arc additive manufactured wall: FEM simulations and artificial neural networkAddit. Manuf.48102387

[64] [64] Ou W, Wei Y, Liu R, Zhao W and Cai J 2020 Determination of the control points for circle and triangle route in wire arc additive manufacturing (WAAM)J. Manuf. Process.5384–98

[65] [65] Denlinger E R, Irwin J and Michaleris P 2014 Thermomechanical modeling of additive manufacturing large partsJ. Manuf. Sci. Eng.136061007

[66] [66] Lee Y, Nycz A, Simunovic S, Meyer L, Vaughan D, Carter W, Babu S S, Vaughan J and Love L 2023 Prediction and understanding of non-linear distortion on large curved wall manufactured by wire-arc direct energy depositionAddit. Manuf. Lett.7100173

[67] [67] Zhou C D, Zhang X Y, Peng Y, Huang Y, Wang K H, Wang J C and Zhou M 2022 Simulation of the influence of the as-deposited wall thickness on arc shape and stability during wire arc additive manufacturingMetals121563

[68] [68] Ling Y, Ni J Y, Antonissen J, Hamouda H B, Voorde J V and Wahab M A 2023 Numerical prediction of microstructure and hardness for low carbon steel wire arc additive manufacturing componentsSimul. Modelling Pract. Theory122102664

[69] [69] Papazoglou V J and Masubuchi K 1982 Numerical analysis of thermal stresses during welding including phase transformation effectsJ. Press. Vessel Technol.104198–203

[70] [70] Zhao W Y, Wei Y H, Tashiro S, Tanaka M and Murphy A B 2023 Numerical investigations of arc plasma characteristic parameters evolution and metal properties in GMAW-based WAAM of Al alloy with an integrated modelJ. Manuf. Process.99321–37

[71] [71] Chen X, Wang C, Ding J L, Qu R D, Wang Y P, Pardal G and Williams S 2023 Thermal fluid dynamics of the effect of filler wire on deposition rate and bead formation intending plasma arc-based DEDJ. Manuf. Process.107199–209

[72] [72] Li C, Denlinger E R, Gouge M F, Irwin J E and Michaleris P 2019 Numerical verification of an Octree mesh coarsening strategy for simulating additive manufacturing processesAddit. Manuf.30100903

[73] [73] Luo Z B and Zhao Y Y 2018 A survey of finite element analysis of temperature and thermal stress fields in powder bed fusion additive manufacturingAddit. Manuf.21318–32

[74] [74] Li M-J, Chen J W, Lian Y P, Xiong F Y and Fang D N 2023 An efficient and high-fidelity local multi-mesh finite volume method for heat transfer and fluid flow problems in metal additive manufacturingComput. Methods Appl. Mech. Eng.404115828

[75] [75] Biegler M, Marko A, Graf B and Rethmeier M 2018 Finite element analysis ofin-situdistortion and bulging for an arbitrarily curved additive manufacturing directed energy deposition geometryAddit. Manuf.24264–72

[76] [76] Zhang W Y, Tong M M and Harrison N M 2019 Resolution, energy and time dependency on layer scaling in finite element modelling of laser beam powder bed fusion additive manufacturingAddit. Manuf.28610–20

[77] [77] Rodrigues T A, Duarte V, Avila J A, Santos T G, Miranda R M and Oliveira J P 2019 Wire and arc additive manufacturing of HSLA steel: effect of thermal cycles on microstructure and mechanical propertiesAddit. Manuf.27440–50

[78] [78] Diourt A, Bugarin F, Bordreuil C and Segonds S 2021 Continuous three-dimensional path planning (CTPP) for complex thin parts with wire arc additive manufacturingAddit. Manuf.37101622

[79] [79] Bag S, De A and DebRoy T 2009 A genetic algorithm-assisted inverse convective heat transfer model for tailoring weld geometryMater. Manuf. Process.24384–97

[80] [80] Mishra S and DebRoy T 2007 Tailoring gas tungsten arc weld geometry using a genetic algorithm and a neural network trained with convective heat flow calculationsMater. Sci. Eng.A454–455477–86

[81] [81] Montevecchi F, Venturini G, Grossi N, Scippa A and Campatelli G 2018 Idle time selection for wire-arc additive manufacturing: a finite element-based techniqueAddit. Manuf.21479–86

[82] [82] Wu B T, Pan Z X, Chen G Y, Ding D H, Yuan L, Cuiuri D and Li H J 2019 Mitigation of thermal distortion in wire arc additively manufactured Ti6Al4V part using active interpass coolingSci. Technol. Weld. Join.24484–94

[83] [83] Cao H J, Huang R F, Yi H, Liu M L and Jia L 2022 Asymmetric molten pool morphology in wire-arc directed energy deposition: evolution mechanism and suppression strategyAddit. Manuf.59103113

[84] [84] Liang L J, Hu R Z, Wang J S, Huang A G and Pang S Y 2021 A thermal fluid mechanical model of stress evolution for wire feeding-based laser additive manufacturingJ. Manuf. Process.69602–12

[85] [85] Gaikwad A, Yavari R, Montazeri M, Cole K, Bian L and Rao P 2020 Toward the digital twin of additive manufacturing: integrating thermal simulations, sensing, and analytics to detect process faultsLise Trans.521204–17

[86] [86] Mu H C, He F Y, Yuan L, Hatamian H, Commins P and Pan Z X 2024 Online distortion simulation using generative machine learning models: a step toward digital twin of metallic additive manufacturingJ. Ind. Inf. Integr.38100563

[87] [87] Lu F G, Wang H-P, Murphy A B and Carlson B E 2014 Analysis of energy flow in gas metal arc welding processes through self-consistent three-dimensional process simulationInt. J. Heat Mass Transfer68215–23

[88] [88] Xu G X, Cao Q N, Hu Q X, Zhang W W, Liu P and Du B S 2016 Modelling of bead hump formation in high speed gas metal arc weldingSci. Technol. Weld. Join.21700–10

[89] [89] Wang X X, Luo Y and Fan D 2019 Investigation of heat transfer and fluid flow in high current GTA welding by a unified modelInt. J. Therm. Sci.14220–29

[90] [90] Ding J, Colegrove P, Mehnen J, Ganguly S, Sequeira Almeida P M, Wang F and Williams S 2011 Thermo-mechanical analysis of wire and arc additive layer manufacturing process on large multi-layer partsComput. Mater. Sci.503315–22

[91] [91] Cadiou S, Courtois M, Carin M, Berckmans W and Le Masson P 2020 3D heat transfer, fluid flow and electromagnetic model for cold metal transfer wire arc additive manufacturing (Cmt-Waam)Addit. Manuf.36101541

[92] [92] Manvatkar V, De A and DebRoy T 2014 Heat transfer and material flow during laser assisted multi-layer additive manufacturingJ. Appl. Phys.116124905

[93] [93] Ogino Y, Asai S and Hirata Y 2018 Numerical simulation of WAAM process by a GMAW weld pool modelWeld. World62393–401

[94] [94] Chen G Y, Williams S, Ding J L, Wang Y P and Suder W 2022 Split anode calorimetry for plasma arc energy density measurement with laser calibrationJ. Manuf. Process.7871–81

[95] [95] Ogino Y, Hirata Y and Asai S 2017 Numerical simulation of metal transfer in pulsed-MIG weldingWeld. World611289–96

[96] [96] Zhang W, Kim C-H and DebRoy T 2004 Heat and fluid flow in complex joints during gas metal arc welding—part I: numerical model of fillet weldingJ. Appl. Phys.955210–9

[97] [97] Turner J S 1979Buoyancy Effects in Fluids(Cambridge University Press)

[98] [98] DebRoy T and David S A 1995 Physical processes in fusion weldingRev. Mod. Phys.6785–112

[99] [99] Kou S and Sun D K 1985 Fluid flow and weld penetration in stationary arc weldsMetall. Trans.A16203–13

[100] [100] Kumar A and DebRoy T 2003 Calculation of three-dimensional electromagnetic force field during arc weldingJ. Appl. Phys.941267–77

[101] [101] Keene B J 1993 Review of data for the surface tension of pure metalsInt. Mater. Rev.38157–92

[102] [102] Cao Z N and Dong P S 1998 Modeling of GMA weld pools with consideration of droplet impactJ. Eng. Mater. Technol.120313–20

[103] [103] Hejripour F, Valentine D T and Aidun D K 2018 Study of mass transport in cold wire deposition for wire arc additive manufacturingInt. J. Heat Mass Transfer125471–84

[104] [104] Huang J K, Li Z X, Yu S R, Yu X Q and Fan D 2022 Real-time observation and numerical simulation of the molten pool flow and mass transfer behavior during wire arc additive manufacturingWeld. World66481–94

[105] [105] Lee Y S and Zhang W 2016 Modeling of heat transfer, fluid flow and solidification microstructure of nickel-base superalloy fabricated by laser powder bed fusionAddit. Manuf.12178–88

[106] [106] Qiu C L, Panwisawas C, Ward M, Basoalto H C, Brooks J W and Attallah M M 2015 On the role of melt flow into the surface structure and porosity development during selective laser meltingActa Mater.9672–79

[107] [107] DebRoy T, Wei H L, Zuback J S, Mukherjee T, Elmer J W, Milewski J O, Beese A M, Wilson-Heid A, De A and Zhang W 2018 Additive manufacturing of metallic components—process, structure and propertiesProg. Mater. Sci.92112–224

[108] [108] Bandyopadhyay A and Traxel K D 2018 Invited review article: metal-additive manufacturing—modeling strategies for application-optimized designsAddit. Manuf.22758–74

[109] [109] Xin J W, Wu D S, Shen C, Wang L, Hua X M, Ma N S, Tashiro S and Tanaka M 2022 Multi-physical modelling of alloy element transportation in wire arc additive manufacturing of a -TiAl alloyInt. J. Therm. Sci.179107641

[110] [110] Chen X, Wang C, Ding J L, Bridgeman P and Williams S 2022 A three-dimensional wire-feeding model for heat and metal transfer, fluid flow, and bead shape in wire plasma arc additive manufacturingJ. Manuf. Process.83300–12

[111] [111] Cai X Y, Dong B L, Lin S B, Li X L and Fan C L 2022 Forming characteristics and mechanism of variable polarity TIG-based wire arc additive manufacturing of Al–Mg-Zn-Cu alloyInt. J. Adv. Manuf. Technol.1233007–20

[112] [112] Ji F L, Hu Z Q, Qin X P, Yin F, Ni M and Xiong X C 2023 Grain refinement and mechanism of steel in ultrasound assisted wire and arc additive manufacturingInt. Commun. Heat Mass Transfer143106724

[113] [113] Ji F L, Qin X P, Hu Z Q, Xiong X C, Ni M and Wu M W 2022 Influence of ultrasonic vibration on molten pool behavior and deposition layer forming morphology for wire and arc additive manufacturingInt. Commun. Heat Mass Transfer130105789

[114] [114] Cadiou S, Courtois M, Carin M, Berckmans W and Le Masson P 2020 Heat transfer, fluid flow and electromagnetic model of droplets generation and melt pool behaviour for wire arc additive manufacturingInt. J. Heat Mass Transfer148119102

[115] [115] Zhao W Y, Wei Y H, Long J W, Chen J C, Liu R P and Ou W M 2021 Modeling and simulation of heat transfer, fluid flow and geometry morphology in GMAW-based wire arc additive manufacturingWeld. World651571–90

[116] [116] Ke W C, Oliveira J P, Cong B Q, Ao S S, Qi Z W, Peng B and Zeng Z 2022 Multi-layer deposition mechanism in ultra high-frequency pulsed wire arc additive manufacturing (WAAM) of NiTi shape memory alloysAddit. Manuf.50102513

[117] [117] Ou W, Mukherjee T, Knapp G L, Wei Y and DebRoy T 2018 Fusion zone geometries, cooling rates and solidification parameters during wire arc additive manufacturingInt. J. Heat Mass Transfer1271084–94

[118] [118] Ou W, Knapp G L, Mukherjee T, Wei Y and DebRoy T 2021 An improved heat transfer and fluid flow model of wire-arc additive manufacturingInt. J. Heat Mass Transfer167120835

[119] [119] Abe T, Kaneko J and Sasahara H 2020 Thermal sensing and heat input control for thin-walled structure building based on numerical simulation for wire and arc additive manufacturingAddit. Manuf.35101357

[120] [120] Zhao W Y, Tashiro S, Murphy A B, Tanaka M, Liu X B and Wei Y H 2023 Deepening the understanding of arc characteristics and metal properties in GMAW-based WAAM with wire retraction via a multi-physics modelJ. Manuf. Process.97260–74

[121] [121] Zhou X M, Fu Z C, Zhou X, Bai X W, Tian Q H, Fu J J and Zhang H O 2024 Numerical simulation of heat and mass transient behavior during WAAM overlapping deposition with external deflection magnetic fieldInt. J. Heat Mass Transfer218124780

[122] [122] Silwal B and Santangelo M 2018 Effect of vibration and hot-wire gas tungsten arc (GTA) on the geometric shapeJ. Mater. Process. Technol.251138–45

[123] [123] Jiang F, Miao Q, Xu B, Tashiro S, Tanaka M, Lin S B, Fan C L and Chen S J 2022 Numerical analysis of physical characteristics and heat transfer decoupling behavior in bypass coupling variable polarity plasma arcMaterials153174

[124] [124] Wang X X, Tashiro S, Tanaka M and Trinh N Q 2023 Numerical investigation of the arc behaviour and air transport during pulsed tungsten inert gas arc-based additive manufacturingInt. J. Adv. Manuf. Technol.1285385–403

[125] [125] Hu R Z, Chen X, Yang G, Gong S L and Pang S Y 2018 Metal transfer in wire feeding-based electron beam 3D printing: modes, dynamics, and transition criterionInt. J. Heat Mass Transfer126877–87

[126] [126] Wei S P, Wang G, Shin Y C and Rong Y M 2018 Comprehensive modeling of transport phenomena in laser hot-wire deposition processInt. J. Heat Mass Transfer1251356–68

[127] [127] Mukherjee T, Wei H L, De A and DebRoy T 2018 Heat and fluid flow in additive manufacturing—part I: modeling of powder bed fusionComput. Mater. Sci.150304–13

[128] [128] Zhang D Y, Zhang P D, Liu Z, Feng Z, Wang C J and Guo Y W 2018 Thermofluid field of molten pool and its effects during selective laser melting (SLM) of Inconel 718 alloyAddit. Manuf.21567–78

[129] [129] Mukherjee T and DebRoy T 2018 Mitigation of lack of fusion defects in powder bed fusion additive manufacturingJ. Manuf. Process.36442–9

[130] [130] Hirt C W and Nichols B D 1981 Volume of fluid (VOF) method for the dynamics of free boundariesJ. Comput. Phys.39201–25

[131] [131] Adalsteinsson D and Sethian J A 1995 A fast level set method for propagating interfacesJ. Comput. Phys.118269–77

[132] [132] Osher S and Sethian J A 1988 Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulationsJ. Comput. Phys.7912–49

[133] [133] Hirt C W, Amsden A A and Cook J L 1974 An arbitrary Lagrangian-Eulerian computing method for all flow speedsJ. Comput. Phys.14227–53

[134] [134] Brent A D, Voller V R and Reid K J 1988 Enthalpy-porosity technique for modeling convection-diffusion phase change: application to the melting of a pure metalNumer. Heat Transfer13297–318

[135] [135] Takada N and Tomiyama A 2006 A numerical method for two-phase flow based on a phase-field modelJSME Int. J.B49636–44

[136] [136] Chiu P-H 2019 A coupled phase field framework for solving incompressible two-phase flowsJ. Comput. Phys.392115–40

[137] [137] Kim Y S and Eager T W 1993 Analysis of metal transfer in gas metal arc weldingWeld. J.726 (available at: https://eagar.mit.edu/publications/Eagar117.pdf)

[138] [138] Esfahani M R N, Coupland J and Marimuthu S 2015 Numerical simulation of alloy composition in dissimilar laser weldingJ. Mater. Process. Technol.224135–42

[139] [139] Mukherjee T, Zuback J S, Zhang W and DebRoy T 2018 Residual stresses and distortion in additively manufactured compositionally graded and dissimilar jointsComput. Mater. Sci.143325–37

[140] [140] Parthasarathy V N and Kodiyalam S 1991 A constrained optimization approach to finite element mesh smoothingFinite Elem. Anal. Des.9309–20

[141] [141] Sypkens Smit M and Bronsvoort W F 2009 Efficient tetrahedral remeshing of feature models for finite element analysisEng. Comput.25327–44

[142] [142] Qingyu S, Anli L, Haiyan Z and Aiping A P 2002 Development and application of the adaptive mesh technique in the three-dimensional numerical simulation of the welding processJ. Mater. Process. Technol.121167–72

[143] [143] Runnemalm H and Hyun S 2000 Three-dimensional welding analysis using an adaptive mesh schemeComput. Methods Appl. Mech. Eng.189515–23

[144] [144] Riedlbauer D, Steinmann P and Mergheim J 2014 Thermomechanical finite element simulations of selective electron beam melting processes: performance considerationsComput. Mech.54109–22

[145] [145] Patil N, Pal D, Khalid Rafi H, Zeng K, Moreland A, Hicks A, Beeler D and Stucker B 2015 A generalized feed forward dynamic adaptive mesh refinement and derefinement finite element framework for metal laser sintering—part I: formulation and algorithm developmentJ. Manuf. Sci. Eng.137041001

[146] [146] Gouge M, Denlinger E, Irwin J, Li C and Michaleris P 2019 Experimental validation of thermo-mechanical part-scale modeling for laser powder bed fusion processesAddit. Manuf.29100771

[147] [147] Goldak J, Chakravarti A and Bibby M 1984 A new finite element model for welding heat sourcesMetall. Trans.B15299–305

[148] [148] Zhang K Y, Dong W C and Lu S P 2022 Residual stress and distortion in thick-plate weld joint of AF1410 steel: finite element simulations and experimental studiesMater. Res. Express9016524

[149] [149] Thompson S M, Bian L K, Shamsaei N and Yadollahi A 2015 An overview of direct laser deposition for additive manufacturing; part I: transport phenomena, modeling and diagnosticsAddit. Manuf.836–62

[150] [150] Huang J K, Guan Z C, Yu S R, Yu X Q, Yuan W, Li N and Fan D 2020 A 3D dynamic analysis of different depositing processes used in wire arc additive manufacturingMater. Today Commun.24101255

[151] [151] Abusalma H, Eisazadeh H, Hejripour F, Bunn J and Aidun D K 2022 Parametric study of residual stress formation in wire and arc additive manufacturingJ. Manuf. Process.75863–76

[152] [152] Derakhshan E D, Yazdian N, Craft B, Smith S and Kovacevic R 2018 Numerical simulation and experimental validation of residual stress and welding distortion induced by laser-based welding processes of thin structural steel plates in butt joint configurationOpt. Laser Technol.104170–82

[153] [153] Wang J N, Chen X, Yang L F and Zhang G C 2022 Sequentially combined thermo-mechanical and mechanical simulation of double-pulse MIG welding of 6061-T6 aluminum alloy sheetsJ. Manuf. Process.77616–31

[154] [154] Cambon C, Rouquette S, Bendaoud I, Bordreuil C, Wimpory R and Soulie F 2020 Thermo-mechanical simulation of overlaid layers made with wire + arc additive manufacturing and GMAW-cold metal transferWeld. World641427–35

[155] [155] Casuso M, Veiga F, Surez A, Bhujangrao T, Aldalur E, Artaza T, Amondarain J and Lamikiz A 2021 Model for the prediction of deformations in the manufacture of thin-walled parts by wire arc additive manufacturing technologyMetals11678

[156] [156] Oyama K, Diplas S, M'hamdi M, Gunns A E and Azar A S 2019 Heat source management in wire-arc additive manufacturing process for Al-Mg and Al-Si alloysAddit. Manuf.26180–92

[157] [157] Montevecchi F, Venturini G, Grossi N, Scippa A and Campatelli G 2018 Heat accumulation prevention in wire-arc-additive-manufacturing using air jet impingementManuf. Lett.1714–18

[158] [158] Gornyakov V, Sun Y L, Ding J L and Williams S 2022 Efficient determination and evaluation of steady-state thermal–mechanical variables generated by wire arc additive manufacturing and high pressure rollingModelling Simul. Mater. Sci. Eng.30014001

[159] [159] Nycz Aet al2021 Effective residual stress prediction validated with neutron diffraction method for metal large-scale additive manufacturingMater. Des.205109751

[160] [160] Prajadhiama K P, Manurung Y H P, Minggu Z D, Pengadau F H S, Graf M, Haelsig A, Adams T-E, Choo H L, Anis M and Munir B 2019 Development of bead modelling for distortion analysis induced by wire arc additive manufacturing using FEM and experimentMATEC Web Conf.vol 269 pp 05003

[161] [161] Braud N, Chergui A, Limousin M, Villeneuve F and Vignat F 2022 An indicator of porosity through simulation of melt pool volume in aluminum wire arc additive manufacturingMech. Ind.231

[162] [162] Wang C, Sun Y L, Chen G Y, Chen X, Ding J L, Suder W, Diao C L and Williams S 2022 A simplified modelling approach for thermal behaviour analysis in hybrid plasma arc-laser additive manufacturingInt. J. Heat Mass Transfer195123157

[163] [163] Srivastava S, Garg R K, Sachdeva A and Sharma V S 2022 A multi-tier layer-wise thermal management study for long-scale wire-arc additive manufacturingJ. Mater. Process. Technol.306117651

[164] [164] Wang Y F, Li Q, Qian L Y and Yang Y B 2021 A modified inherent strain model with consideration of the variance of mechanical properties in metal additive manufacturingJ. Manuf. Process.72115–25

[165] [165] Yang Y B, Zhou X, Li Q and Ayas C 2021 A computationally efficient thermo-mechanical model for wire arc additive manufacturingAddit. Manuf.46102090

[166] [166] Baiges J, Chiumenti M, Moreira C A, Cervera M and Codina R 2021 An adaptive finite element strategy for the numerical simulation of additive manufacturing processesAddit. Manuf.37101650

[167] [167] Huang H, Ma N S, Chen J, Feng Z L and Murakawa H 2020 Toward large-scale simulation of residual stress and distortion in wire and arc additive manufacturingAddit. Manuf.34101248

[168] [168] Sun J M, Hensel J, Khler M and Dilger K 2021 Residual stress in wire and arc additively manufactured aluminum componentsJ. Manuf. Process.6597–111

[169] [169] Nguyen L, Buhl J, Israr R and Bambach M 2021 Analysis and compensation of shrinkage and distortion in wire-arc additive manufacturing of thin-walled curved hollow sectionsAddit. Manuf.47102365

[170] [170] Amal M S, Panicker C T J and Senthilkumar V 2022 Simulation of wire arc additive manufacturing to find out the optimal path planning strategyMater. Today662405–10

[171] [171] Sandeep K J, Teja P J, Choudhary A K and Jain R 2022 Development of correlation between temperature, liquid life span, molten pool, and porosity during wire arc additive manufacturing: a finite element approachCIRP J. Manuf. Sci. Technol.38274–87

[172] [172] Jimenez X, Dong W, Paul S, Klecka M A and To A C 2020 Residual stress modeling with phase transformation for wire arc additive manufacturing of B91 steelJOM724178–86

[173] [173] Xie R S, Chen G Q, Zhao Y, Zhang S, Yan W T, Lin X and Shi Q Y 2019In-situobservation and numerical simulation on the transient strain and distortion prediction during additive manufacturingJ. Manuf. Process.38494–501

[174] [174] Dong W, Jimenez X A and To A C 2023 Temperature-dependent modified inherent strain method for predicting residual stress and distortion of Ti6Al4V walls manufactured by wire-arc directed energy depositionAddit. Manuf.62103386

[175] [175] Tian H, Xin Y, Lu L Z, Chen X Y, Zhang G Y, Cai Y C, Tian Y B and Han J 2022 Heat propagation simulation of thin-walled Ti6Al4V alloy components fabricated by double-wire GTAW additive manufacturingSci. Technol. Weld. Join.27446–54

[176] [176] Huang W J, Wang Q, Ma N S and Kitano H 2023 Characteristics of residual stress distribution in wire-arc additive manufactured layers of low transformation temperature materialInt. Commun. Heat Mass Transfer148107066

[177] [177] Pandey A and Gaur V 2023 Effect of dwell time on fatigue properties of wire-arc additively manufactured IN718 alloyInt. J. Fatigue176107863

[178] [178] Kovca D, Starman B, Klobar D, HaliloviM and Mole N 2023 Towards an automated framework for the finite element computational modelling of directed energy depositionFinite Elem. Anal. Des.221103949

[179] [179] Park S-C, Bang H-S and Seong W-J 2020 Effects of material properties on angular distortion in wire arc additive manufacturing: experimental and computational analysesMaterials131399

[180] [180] Zhao X F, Zapata A, Bernauer C, Baehr S and Zaeh M F 2023 Simulation of wire arc additive manufacturing in the reinforcement of a half-cylinder shell geometryMaterials164568

[181] [181] Liu S Q, Lin M C, Wang X, Fu Y Q, Ren X B, Zhang Z L and He J Y 2022 A framework for predicting the local stress-strain behaviors of additively manufactured multiphase alloys in the sequential layersMater. Sci. Eng.A832142367

[182] [182] Tangestani R, Farrahi G H, Shishegar M, Aghchehkandi B P, Ganguly S and Mehmanparast A 2020 Effects of vertical and pinch rolling on residual stress distributions in wire and arc additively manufactured componentsJ. Mater. Eng. Perform.292073–84

[183] [183] Springer S, Rcklinger A, Leitner M, Grn F, Gruber T, Lasnik M and Oberwinkler B 2022 Implementation of a viscoplastic substrate creep model in the thermomechanical simulation of the WAAM processWeld. World66441–53

[184] [184] Pragana J P M, Bragana I M F, Silva C M A and Martins P A F 2021 Integration of tube end forming in wire arc additive manufacturing: an experimental and numerical investigationInt. J. Adv. Manuf. Technol.1172715–26

[185] [185] Gornyakov V, Sun Y L, Ding J L and Williams S 2022 Modelling and optimising hybrid process of wire arc additive manufacturing and high-pressure rollingMater. Des.223111121

[186] [186] Sydow B, Jhanji A, Hlsig A, Buhl J and Hrtel S 2022 The benefit of the process combination of wire arc additive manufacturing (WAAM) and forming—a numerical and experimental studyMetals12988

[187] [187] Du T C, Yan P, Liu Q Y and Dong L T 2023 A process-based inherent strain method for prediction of deformation and residual stress for wire-arc directed energy depositionComput. Mech.731053–75

[188] [188] Ma N S, Deng D A, Osawa N, Rashed S, Murakawa H and Ueda Y 2022Welding Deformation and Residual Stress Prevention2nd edn (Butterworth-Heinemann)

[189] [189] Bayat M, Dong W, Thorborg J, To A C and Hattel J H 2021 A review of multi-scale and multi-physics simulations of metal additive manufacturing processes with focus on modeling strategiesAddit. Manuf.47102278

[190] [190] Liang X, Chen Q, Cheng L, Hayduke D and To A C 2019 Modified inherent strain method for efficient prediction of residual deformation in direct metal laser sintered componentsComput. Mech.641719–33

[191] [191] Hu Z Q, Hua L, Qin X P, Ni M, Ji F L and Wu M W 2021 Molten pool behaviors and forming appearance of robotic GMAW on complex surface with various welding positionsJ. Manuf. Process.641359–76

[192] [192] Ding D H, Zhang S M, Lu Q H, Pan Z X, Li H J and Wang K 2021 The well-distributed volumetric heat source model for numerical simulation of wire arc additive manufacturing processMater. Today Commun.27102430

[193] [193] van Nuland T F W, van Dommelen J A W and Geers M G D 2021 Microstructural modeling of anisotropic plasticity in large scale additively manufactured 316L stainless steelMech. Mater.153103664

[194] [194] Xi N Y, Ni Z Y, Fang X W, Zhou Y, Tang K X, Zhang H K and Huang K 2023 Role of -phase on mechanical behaviors of additive manufactured Inconel 718: detailed microstructure analysis and crystal plasticity modellingInt. J. Plast.168103708

[195] [195] da Silva L J, Ferraresi H N, Arajo D B, Reis R P and Scotti A 2021 Effect of thermal management approaches on geometry and productivity of thin-walled structures of ER 5356 built by wire + arc additive manufacturingCoatings111141

[196] [196] Shen C, Pan Z X, Cuiuri D, Ding D H and Li H J 2017 Influences of deposition current and interpass temperature to the Fe3Al-based iron aluminide fabricated using wire-arc additive manufacturing processInt. J. Adv. Manuf. Technol.882009–18

[197] [197] Ma Y, Cuiuri D, Shen C, Li H J and Pan Z X 2015 Effect of interpass temperature onin-situalloying and additive manufacturing of titanium aluminides using gas tungsten arc weldingAddit. Manuf.871–77

[198] [198] Shen C, Pan Z X, Ma Y, Cuiuri D and Li H J 2015 Fabrication of iron-rich Fe–Al intermetallics using the wire-arc additive manufacturing processAddit. Manuf.720–26

[199] [199] Zhao H H, Zhang G J, Yin Z Q and Wu L 2011 A 3D dynamic analysis of thermal behavior during single-pass multi-layer weld-based rapid prototypingJ. Mater. Process. Technol.211488–95

[200] [200] Kopf T, Glck T, Gruber D, Staderini V, Eugui P, Fritze G, Mansouri A, Schnall M and Meyer-Heye P 2024 Process modeling and control for additive manufacturing of Ti-6Al-4V using plasma arc welding-methodology and experimental validationJ. Manuf. Process.12612–23

[201] [201] Ackermann M and Haase C 2023 Machine learning-based identification of interpretable process-structure linkages in metal additive manufacturingAddit. Manuf.71103585

[202] [202] Kats D, Wang Z D, Gan Z T, Liu W K, Wagner G J and Lian Y P 2022 A physics-informed machine learning method for predicting grain structure characteristics in directed energy depositionComput. Mater. Sci.202110958

[203] [203] Kim C-H, Zhang W and DebRoy T 2003 Modeling of temperature field and solidified surface profile during gas–metal arc fillet weldingJ. Appl. Phys.942667–79

[204] [204] Fan H G and Kovacevic R 1998 Dynamic analysis of globular metal transfer in gas metal arc welding—a comparison of numerical and experimental resultsJ. Phys. D: Appl. Phys.312929–41

[205] [205] Wu A S, Brown D W, Kumar M, Gallegos G F and King W E 2014 An experimental investigation into additive manufacturing-induced residual stresses in 316L stainless steelMetall. Mater. Trans.A456260–70

[206] [206] Messler R W Jr 2008Principles of Welding: Processes, Physics, Chemistry, and Metallurgy(Wiley) (https://doi.org/10.1002/9783527617487)

[207] [207] Bartlett J L and Li X D 2019 An overview of residual stresses in metal powder bed fusionAddit. Manuf.27131–49

[208] [208] Wei H L, Mukherjee T, Zhang W, Zuback J S, Knapp G L, De A and DebRoy T 2021 Mechanistic models for additive manufacturing of metallic componentsProg. Mater. Sci.116100703

[209] [209] Withers P J and Bhadeshia H K D H 2001 Residual stress. Part 2—nature and originsMater. Sci. Technol.17366–75

[210] [210] Mukherjee T, Zhang W and DebRoy T 2017 An improved prediction of residual stresses and distortion in additive manufacturingComput. Mater. Sci.126360–72

[211] [211] Bailey N S, Katinas C and Shin Y C 2017 Laser direct deposition of AISI H13 tool steel powder with numerical modeling of solid phase transformation, hardness, and residual stressesJ. Mater. Process. Technol.247223–33

[212] [212] Ferro P, Porzner H, Tiziani A and Bonollo F 2006 The influence of phase transformations on residual stresses induced by the welding process—3D and 2D numerical modelsModelling Simul. Mater. Sci. Eng.14117–36

[213] [213] Fang J X, Li S B, Dong S Y, Wang Y J, Huang H S, Jiang Y L and Liu B 2019 Effects of phase transition temperature and preheating on residual stress in multi-pass & multi-layer laser metal depositionJ. Alloys Compd.792928–37

[214] [214] Ghafouri M, Ahn J, Mourujrvi J, Bjrk T and Larkiola J 2020 Finite element simulation of welding distortions in ultra-high strength steel S960 MC including comprehensive thermal and solid-state phase transformation modelsEng. Struct.219110804

[215] [215] Xu K, Qiao G-Y, Shi X-B and Xiao F-R 2021 Effect of stress-relief annealing on the fatigue properties of X80 welded pipesMater. Sci. Eng.A807140854

[216] [216] Wang Z Q, Stoica A D, Ma D and Beese A M 2017 Stress relaxation behavior and mechanisms in Ti-6Al-4V determined viain situneutron diffraction: application to additive manufacturingMater. Sci. Eng.A707585–92

[217] [217] Denlinger E R and Michaleris P 2016 Effect of stress relaxation on distortion in additive manufacturing process modelingAddit. Manuf.1251–59

[218] [218] Wu Q, Mukherjee T, De A and DebRoy T 2020 Residual stresses in wire-arc additive manufacturing–hierarchy of influential variablesAddit. Manuf.35101355

[219] [219] Zhou Z Y, Shen H Y, Liu B, Du W Z, Jin J A and Lin J H 2022 Residual thermal stress prediction for continuous tool-paths in wire-arc additive manufacturing: a three-level data-driven methodVirtual Phys. Prototyp.17105–24

[220] [220] Sanaei N and Fatemi A 2021 Defects in additive manufactured metals and their effect on fatigue performance: a state-of-the-art reviewProg. Mater. Sci.117100724

[221] [221] Brennan M C, Keist J S and Palmer T A 2021 Defects in metal additive manufacturing processesJ. Mater. Eng. Perform.304808–18

[222] [222] Derekar K S 2018 A review of wire arc additive manufacturing and advances in wire arc additive manufacturing of aluminiumMater. Sci. Technol.34895–916

[223] [223] Lee P D and Hunt J D 2001 Hydrogen porosity in directionally solidified aluminium–copper alloys: a mathematical modelActa Mater.491383–98

[224] [224] Bai J, Ding H L, Gu J L, Wang X S and Qiu H 2017 Porosity evolution in additively manufactured aluminium alloy during high temperature exposureIOP Conf. Ser.: Mater. Sci. Eng.167012045

[225] [225] Mojumder S, Gan Z T, Li Y F, Al Amin A and Liu W K 2023 Linking process parameters with lack-of-fusion porosity for laser powder bed fusion metal additive manufacturingAddit. Manuf.68103500

[226] [226] Gawade V, Singh V and Guo W 2022 Leveraging simulated and empirical data-driven insight to supervised-learning for porosity prediction in laser metal depositionJ. Manuf. Syst.62875–85

[227] [227] Israr R, Buhl J and Bambach M 2020 Numerical analysis of different fixation strategies in direct energy deposition processesProc. Manuf.471184–9

[228] [228] Arrizubieta J I, Lamikiz A, Klocke F, Martnez S, Arntz K and Ukar E 2017 Evaluation of the relevance of melt pool dynamics in laser material deposition process modelingInt. J. Heat Mass Transfer11580–91

[229] [229] Zhao X F, Zapata A and Zaeh M F 2024 A semi-analytical approach to wire arc additive manufacturing simulation for deposition sequence optimisationVirtual Phys. Prototyp.19e2368648

[230] [230] Mathews R, Nagaraja K M, Zhang R Y, Sunny S, Yu H L, Marais D, Venter A, Li W, Lu H B and Malik A 2023 Temporally continuous thermofluidic–thermomechanical modeling framework for metal additive manufacturingInt. J. Mech. Sci.254108424

[231] [231] Geng R W, Du J, Wei Z Y and Ma N S 2020 Multiscale modelling of microstructure, micro-segregation, and local mechanical properties of Al-Cu alloys in wire and arc additive manufacturingAddit. Manuf.36101735

[232] [232] Wang L and Wang K H 2019 Investigation on microstructural patterns and hot crack in the molten pool via integrated finite-element and phase-field modelingJ. Manuf. Process.48191–8

[233] [233] Wang J B, Zhao Z Y, Du W B, Bai P K, Wang L Q, Zhang Z and Huang Z Q 2023 Macro-micro numerical simulation and experimental study of Mg-Gd-Y-Zn-Zr alloy fabricated by cold metal transfer wire arc additive manufacturingJ. Mater. Res. Technol.23403–18

[234] [234] Beghini L L, Stender M, Moser D, Trembacki B L, Veilleux M G and Ford K R 2021 A coupled fluid-mechanical workflow to simulate the directed energy deposition additive manufacturing processComput. Mech.671041–57

[235] [235] Geng R W, Du J, Wei Z Y, Xu S Y and Ma N S 2021 Modelling and experimental observation of the deposition geometry and microstructure evolution of aluminum alloy fabricated by wire-arc additive manufacturingJ. Manuf. Process.64369–78

[236] [236] Gao Z N, Li Y F, Shi H Z, Lyu F Y, Li X, Wang L L and Zhan X H 2023 Microstructure characteristics under varying solidification parameters in different zones during CMT arc additive manufacturing process of 2319 aluminum alloyVacuum214112177

[237] [237] Nomoto S, Kusano M, Kitano H and Watanabe M 2022 Multi-phase field method for solidification microstructure evolution for a Ni-based alloy in wire arc additive manufacturingMetals121720

[238] [238] Staroselsky A, Voytovych D and Acharya R 2024 Prediction of Ni-based alloy microstructure in wire arc additive manufacturing from cellular automata modelComput. Mater. Sci.233112721

[239] [239] Paul S, Liu J, Strayer S T, Zhao Y H, Sridar S, Klecka M A, Xiong W and To A C 2020 A discrete dendrite dynamics model for epitaxial columnar grain growth in metal additive manufacturing with application to InconelAddit. Manuf.36101611

[240] [240] Wang Y C and Shi J 2018 Influence of laser scan speed on micro-segregation in selective laser melting of an iron-carbon alloy: a multi-scale simulation studyProc. Manuf.26941–51

[241] [241] Qi Z W, Cong B Q, Qi B J, Sun H Y, Zhao G and Ding J L 2018 Microstructure and mechanical properties of double-wire + arc additively manufactured Al-Cu-Mg alloysJ. Mater. Process. Technol.255347–53

[242] [242] Chen F, Yang M and Yan W T 2022 Data-driven prognostic model for temperature field in additive manufacturing based on the high-fidelity thermal-fluid flow simulationComput. Methods Appl. Mech. Eng.392114652

[243] [243] Gardner L, Kyvelou P, Herbert G and Buchanan C 2020 Testing and initial verification of the world's first metal 3D printed bridgeJ. Constr. Steel Res.172106233

[244] [244] He Y L, Davim J P and Ma Y E 2016 2D macro-mechanical FE simulations for machining unidirectional FRP composite: the influence of damage modelsSci. Eng. Compos. Mater.23659–70

[245] [245] Arrazola P J, Kortabarria A, Madariaga A, Esnaola J A, Fernandez E, Cappellini C, Ulutan D and zel T 2014 On the machining induced residual stresses in IN718 nickel-based alloy: experiments and predictions with finite element simulationSimul. Modelling Pract. Theory4187–103

[246] [246] Krishna Murthy K R, Akyel F, Reisgen U and Olschok S 2022 Simulation of transient heat transfer and phase transformation in laser beam welding for low alloy steel and studying its influences on the welding residual stressesJ. Adv. Join. Process.5100080

[247] [247] Feng G J, Wang H, Wang Y F, Deng D A and Zhang J 2022 Numerical simulation of residual stress and deformation in wire arc additive manufacturingCrystals12803

[248] [248] Tan P F, Shen F, Li B and Zhou K 2019 A thermo-metallurgical-mechanical model for selective laser melting of Ti6Al4VMater. Des.168107642

[249] [249] Chen X, Kong F R, Fu Y H, Zhao X S, Li R S, Wang G L and Zhang H O 2021 A review on wire-arc additive manufacturing: typical defects, detection approaches, and multisensor data fusion-based modelInt. J. Adv. Manuf. Technol.117707–27

[250] [250] Xu X F, Ding J L, Ganguly S and Williams S 2019 Investigation of process factors affecting mechanical properties of INCONEL 718 superalloy in wire + arc additive manufacture processJ. Mater. Process. Technol.265201–9

[251] [251] Wu B T, Pan Z X, Ding D H, Cuiuri D and Li H J 2018 Effects of heat accumulation on microstructure and mechanical properties of Ti6Al4V alloy deposited by wire arc additive manufacturingAddit. Manuf.23151–60

[252] [252] Lin Z D, Song K J and Yu X H 2021 A review on wire and arc additive manufacturing of titanium alloyJ. Manuf. Process.7024–45

[253] [253] Upasiri I, Konthesingha C, Nanayakkara A and Poologanathan K 2023 Determination of elevated temperature material properties by ANN-based FE modelJ. Struct. Fire Eng.14403–24

[254] [254] Bartlett J L, Heim F M, Murty Y V and Li X D 2018In situdefect detection in selective laser melting via full-field infrared thermographyAddit. Manuf.24595–605

[255] [255] Neuenschwander M, Knobloch M and Fontana M 2017 Elevated temperature mechanical properties of solid section structural steelConstr. Build Mater.149186–201

[256] [256] Wu D F, Wang Y W, Shang L, Pu Y and Gao Z T 2016 Thermo-mechanical properties of C/SiC composite structure under extremely high temperature environment up to 1500 ℃CompositesB90424–31

[257] [257] Zhang K Y, Liu B, Lei Y, Guo L, Fu R D, Zhang Y C and Zhang Y G 2023 An iterative algorithm to improve infrared thermographic systems' accuracy in temperature field measurement of aluminum alloysMeasurement210112547

[258] [258] Chen X L and Liu Y J 2018Finite Element Modeling and Simulation with ANSYS Workbench2nd edn (CRC Press)

[259] [259] An N, Yang G Y, Yang K, Wang J, Li M E and Zhou J X 2021 Implementation of Abaqus user subroutines and plugin for thermal analysis of powder-bed electron-beam-melting additive manufacturing processMater. Today Commun.27102307

[260] [260] Li K J, Tian G Y and Ahmed J 2023 Emissivity correction and thermal pattern reconstruction in eddy current pulsed thermographySensors232646

[261] [261] Wen C-D and Mudawar I 2006 Modeling the effects of surface roughness on the emissivity of aluminum alloysInt. J. Heat Mass Transfer494279–89

[262] [262] Ren C-G, Lo Y-L, Tran H-C and Lee M-H 2019 Emissivity calibration method for pyrometer measurement of melting pool temperature in selective laser melting of stainless steel 316LInt. J. Adv. Manuf. Technol.105637–49

[263] [263] AbouelNour Y and Gupta N 2022In-situmonitoring of sub-surface and internal defects in additive manufacturing: a reviewMater. Des.222111063

[264] [264] Xia C Y, Pan Z X, Polden J, Li H J, Xu Y L, Chen S B and Zhang Y M 2020 A review on wire arc additive manufacturing: monitoring, control and a framework of automated systemJ. Manuf. Syst.5731–45

[265] [265] Teng S Y, Dehgahi S, Henein H, Wolfe T and Qureshi A 2023 Effect of surface texture, viewing angle, and surface condition on the emissivity of wire arc directed energy deposition manufactured 7075 nano treated aluminum alloyInt. J. Adv. Manuf. Technol.1262175–89

[266] [266] Li Y X, Polden J, Pan Z X, Cui J Y, Xia C Y, He F Y, Mu H C, Li H J and Wang L 2022 A defect detection system for wire arc additive manufacturing using incremental learningJ. Ind. Inf. Integr.27100291

[267] [267] Yang L, Meng X H and Karniadakis G E 2021 B-PINNs: Bayesian physics-informed neural networks for forward and inverse PDE problems with noisy dataJ. Comput. Phys.425109913

[268] [268] Helm J M, Swiergosz A M, Haeberle H S, Karnuta J M, Schaffer J L, Krebs V E, Spitzer A I and Ramkumar P N 2020 Machine learning and artificial intelligence: definitions, applications, and future directionsCurr. Rev. Musculoskelet. Med.1369–76

[269] [269] Mao Z P, Jagtap A D and Karniadakis G E 2020 Physics-informed neural networks for high-speed flowsComput. Methods Appl. Mech. Eng.360112789

[270] [270] Liao S H, Xue T J, Jeong J, Webster S, Ehmann K and Cao J 2023 Hybrid thermal modeling of additive manufacturing processes using physics-informed neural networks for temperature prediction and parameter identificationComput. Mech.72499–512

[271] [271] Pereira lvarez P, Kerfriden P, Ryckelynck D and Robin V 2021 Real-time data assimilation in welding operations using thermal imaging and accelerated high-fidelity digital twinningMathematics92263

[272] [272] Dong G Y, Wong J C, Lestandi L, Mikula J, Vastola G, Jhon M H, Dao M H, Kizhakkinan U, Ford C S and Rosen D W 2022 A part-scale, feature-based surrogate model for residual stresses in the laser powder bed fusion processJ. Mater. Process. Technol.304117541

[273] [273] Mozaffar M, Liao S H, Lin H, Ehmann K and Cao J 2021 Geometry-agnostic data-driven thermal modeling of additive manufacturing processes using graph neural networksAddit. Manuf.48102449

[274] [274] Brunton S L, Noack B R and Koumoutsakos P 2020 Machine learning for fluid mechanicsAnn. Rev. Fluid Mech.52477–508

[275] [275] Kochkov D, Smith J A, Alieva A, Wang Q, Brenner M P and Hoyer S 2021 Machine learning–accelerated computational fluid dynamicsProc. Natl Acad. Sci. USA118e2101784118

[276] [276] Li K, Ma R J, Qin Y, Gong N, Wu J Z, Wen P, Tan S S, Zhang D Z, Murr L E and Luo J 2023 A review of the multi-dimensional application of machine learning to improve the integrated intelligence of laser powder bed fusionJ. Mater. Process. Technol.318118032

[277] [277] Bossen B, Kuehne M, Kristanovski O and Emmelmann C 2023 Data-driven density prediction of AlSi10Mg parts produced by laser powder bed fusion using machine learning and finite element simulationJ. Laser Appl.35042023

[278] [278] Lu Y Q, Liu C, Wang K I K, Huang H Y and Xu X 2020 Digital twin-driven smart manufacturing: connotation, reference model, applications and research issuesRobot. Comput. Integr. Manuf.61101837

[279] [279] Enders M R and Hobach N 2019 Dimensions of digital twin applications-a literature reviewThe 25th AMCIS(Cancun) (available at: www.researchgate.net/publication/359715537_Dimensions_of_Digital_Twin_Applications_-_A_Literature_Review)

[280] [280] Gunasegaram D R, Murphy A B, Barnard A, DebRoy T, Matthews M J, Ladani L and Gu D 2021 Towards developing multiscale-multiphysics models and their surrogates for digital twins of metal additive manufacturingAddit. Manuf.46102089

[281] [281] Phua A, Davies C H J and Delaney G W 2022 A digital twin hierarchy for metal additive manufacturingComput. Ind.140103667

[282] [282] Gunasegaram D R, Murphy A B, Matthews M J and DebRoy T 2021 The case for digital twins in metal additive manufacturingJ. Phys. Mater.4040401

[283] [283] Rana A K and Sharma S 2019 Industry 4.0 manufacturing based on IoT, cloud computing, and big data: manufacturing purpose scenarioAdvances in Communication and Computational Technologyed G S Hura, A K Singh and L S Hoe (Springer) pp 1109–19

[284] [284] Miras H, Jimnez R, Miras C and Gom C 2013 CloudMC: a cloud computing application for Monte Carlo simulationPhys. Med. Biol.58N125–33

[285] [285] Bello S A, Oyedele L O, Akinade O O, Bilal M, Davila Delgado J M, Akanbi L A, Ajayi A O and Owolabi H A 2021 Cloud computing in construction industry: use cases, benefits and challengesAutom. Constr.122103441

[286] [286] Liu X, Liang Z Z, Meng S W, Tang C A and Tao J P 2022 Numerical simulation study of brittle rock materials from micro to macro scales using digital image processing and parallel computingAppl. Sci.123864

[287] [287] Xu Y, Hu Z Q, Ringsberg J W and Chen G 2019 Nonlinear viscoelastic-plastic material modelling for the behaviour of ice in ice-structure interactionsOcean Eng.173284–97

[288] [288] Pagac M, Hajnys J, Halama R, Aldabash T, Mesicek J, Jancar L and Jansa J 2021 Prediction of model distortion by FEM in 3D printing via the selective laser melting of stainless steel AISI 316LAppl. Sci.111656