Distortion and Residual Stress Reduction Using Asynchronous Heating Sources for Multi-Robot Coordinated Wire-Arc Directed Energy Deposition
Abstract
:1. Introduction
1.1. Background and Motivation
1.2. Literature Study
1.3. Objective and Content
2. Materials and Methods
2.1. Experimental Setup
2.2. Finite Element Modeling
- The thermophysical properties of the material are isotropic and independent of temperature, including the density of the material, the coefficient of thermal expansion, specific heat at constant pressure, thermal conductivity, etc.;
- The material of the substrate remains stable during the AM process, ignoring the effect of solid-state phase changes;
- The heat source model maintains a consistent morphology during the AM process;
- The thermal convection effect of liquefaction in the molten pool is neglected. The size and retention time of the molten pool liquid phase are negligible compared to the overall component simulation.
3. Results
3.1. The CHSs Effect in a Layer
3.1.1. Model Validation
3.1.2. Temperature Evolution
3.1.3. Residual Stresses
3.1.4. Distortion
3.2. The Effect of CHSs in a Ten-Layer Component
3.2.1. Simulation Results of Stress and Distortion
3.2.2. Experimentation in Practice
3.2.3. Microstructure
4. Conclusions
- (1)
- CHS-WA-DED exhibits superior stress distribution when the time interval between CHSs is 5 s. This improvement is attributed to the preheating and remelting effects between the CHSs, resulting in a reduced cooling temperature gradient and more homogeneous temperature distribution;
- (2)
- The maximum distortion reduction condition is achieved when two parallel heating sources move simultaneously (i.e., time interval is 0 s). The high instantaneous heat input and thermal gradient cause significant bulging near the arc starting point. According to the simulation result, the optimal time interval between the CHSs is determined to be 5 s. The maximum and average distortions are 56.1% and 49.1% of those resulting from a SHS, respectively.
- (3)
- The obtained optimal scheme was validated by comparing ten-layer dual-bead components deposited by a SHS and CHSs. According to the results of the simulative study, the average residual stress of the CHSs component along the deposition direction was reduced by 4.1% and 6.2% at the end of deposition and the end of cooling, respectively, while the maximum distortion amount decreased by 11.2%.
- (4)
- As validated by experimental results, the synergic effect of CHSs reduced the average residual stress of the component along the deposition direction and the perpendicular direction by 6.5% and 6.1%, respectively. Although CHSs increased grain size and non-uniformity in the deposit, the synergic effect of CHSs is beneficial to stress and distortion reduction, which is the most crucial factor for fabricating large-scale parts by WA-DED and thereby preventing cracks during deposition.
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
Abbreviations
MRC | Multi-robot coordinated |
WA-DED | Wire-arc directed energy deposition |
CHSs | Coordinated heating sources |
SHS | Single heating source |
AM | Additive manufacturing |
GMA | Gas metal arc |
HAZ | Heat-affected zone |
References
- Xiong, J.; Wen, C. Arc plasma, droplet, and forming behaviors in bypass wire arc-directed energy deposition. Addit. Manuf. 2023, 70, 103558. [Google Scholar] [CrossRef]
- Duan, X.; Li, Q.; Xie, W.; Yang, X. Wire arc metal additive manufacturing using pulsed arc plasma (PAP-WAAM) for effective heat management. J. Mater. Process. Technol. 2023, 311, 117806. [Google Scholar] [CrossRef]
- Chen, C.; Sun, G.; Du, W.; Liu, J.; Zhang, H. Effect of equivalent heat input on WAAM Al-Si alloy. Int. J. Mech. Sci. 2023, 238, 107831. [Google Scholar] [CrossRef]
- He, T.; Yu, S.; Huang, A.; Yu, G. Path planning and forming of wire multi-arc additive collaborative manufacture for marine propeller bracket. J. Manuf. Processes 2021, 68, 1191–1201. [Google Scholar] [CrossRef]
- Nagamatsu, H.; Sasahara, H.; Mitsutake, Y.; Hamamoto, T. Development of a cooperative system for wire and arc additive manufacturing and machining. Addit. Manuf. 2020, 31, 100896. [Google Scholar] [CrossRef]
- Hollander, D.A.; von Walter, M.; Wirtz, T.; Sellei, R.; Schmidt-Rohlfing, B.; Paar, O.; Erli, H.-J. Structural, mechanical and in vitro characterization of individually structured Ti–6Al–4V produced by direct laser forming. Biomaterials 2006, 27, 955–963. [Google Scholar] [CrossRef]
- Dai, Y.; Yu, S.; Shi, Y.; He, T.; Zhang, L. Wire and arc additive manufacture of high-building multi-directional pipe joint. Int. J. Adv. Manuf. Technol. 2018, 96, 2389–2396. [Google Scholar] [CrossRef]
- Chen, S.; Gao, H.; Zhang, Y.; Wu, Q.; Gao, Z.; Zhou, X. Review on residual stresses in metal additive manufacturing: Formation mechanisms, parameter dependencies, prediction and control approaches. J. Mater. Res. Technol. 2022, 17, 2950–2974. [Google Scholar] [CrossRef]
- Denlinger, E.R.; Heigel, J.C.; Michaleris, P.; Palmer, T.A. Effect of inter-layer dwell time on distortion and residual stress in additive manufacturing of titanium and nickel alloys. J. Mater. Res. Technol. 2015, 215, 123–131. [Google Scholar] [CrossRef]
- Yi, H.; Jia, L.; Ding, J.; Li, H. Achieving material diversity in wire arc additive manufacturing: Leaping from alloys to composites via wire innovation. Int. J. Mach. Tools Manuf. 2024, 194, 104103. [Google Scholar] [CrossRef]
- Szost, B.A.; Terzi, S.; Martina, F.; Boisselier, D.; Prytuliak, A.; Pirling, T.; Hofmann, M.; Jarvis, D.J. A comparative study of additive manufacturing techniques: Residual stress and microstructural analysis of CLAD and WAAM printed Ti–6Al–4V components. Mater. Des. 2016, 89, 559–567. [Google Scholar] [CrossRef]
- Li, Y.; Meng, L.; Li, M.; Zhou, Y.; Liu, X.; Li, X.; Zhang, G. Allocation and scheduling of deposition paths in a layer for multi-robot coordinated wire and arc additive manufacturing of large-scale parts. Virtual Phys. Prototyp. 2024, 19, e2300680. [Google Scholar] [CrossRef]
- Cadiou, S.; Courtois, M.; Carin, M.; Berckmans, W.; Le masson, P. 3D heat transfer, fluid flow and electromagnetic model for cold metal transfer wire arc additive manufacturing (Cmt-Waam). Addit. Manuf. 2020, 36, 101541. [Google Scholar] [CrossRef]
- Gokhale, N.P.; Kala, P. Thermal analysis of TIG-WAAM based metal deposition process using finite element method. Mater. Today Proc. 2021, 44, 453–459. [Google Scholar] [CrossRef]
- Huang, H.; Ma, N.; Chen, J.; Feng, Z.; Murakawa, H. Toward large-scale simulation of residual stress and distortion in wire and arc additive manufacturing. Addit. Manuf. 2020, 34, 101248. [Google Scholar] [CrossRef]
- Evans, S.I.; Wang, J.; Qin, J.; He, Y.; Shepherd, P.; Ding, J. A review of WAAM for steel construction—Manufacturing, material and geometric properties, design, and future directions. Structures 2022, 44, 1506–1522. [Google Scholar] [CrossRef]
- Jafari, D.; Vaneker, T.H.J.; Gibson, I. Wire and arc additive manufacturing: Opportunities and challenges to control the quality and accuracy of manufactured parts. Mater. Des. 2021, 202, 109471. [Google Scholar] [CrossRef]
- Hönnige, J.R.; Colegrove, P.A.; Ganguly, S.; Eimer, E.; Kabra, S.; Williams, S. Control of residual stress and distortion in aluminium wire + arc additive manufacture with rolling. Addit. Manuf. 2018, 22, 775–783. [Google Scholar] [CrossRef]
- Sun, R.; Li, L.; Zhu, Y.; Guo, W.; Peng, P.; Cong, B.; Sun, J.; Che, Z.; Li, B.; Guo, C.; et al. Microstructure, residual stress and tensile properties control of wire-arc additive manufactured 2319 aluminum alloy with laser shock peening. J. Alloys Compd. 2018, 747, 255–265. [Google Scholar] [CrossRef]
- Dong, W.; Jimenez, X.A.; To, A.C. Temperature-dependent modified inherent strain method for predicting residual stress and distortion of Ti6Al4V walls manufactured by wire-arc directed energy deposition. Addit. Manuf. 2023, 62, 103386. [Google Scholar] [CrossRef]
- Abusalma, H.; Eisazadeh, H.; Hejripour, F.; Bunn, J.; Aidun, D.K. Parametric study of residual stress formation in Wire and Arc Additive Manufacturing. J. Manuf. Processes 2022, 75, 863–876. [Google Scholar] [CrossRef]
- Lu, X.; Zhou, Y.F.; Xing, X.L.; Shao, L.Y.; Yang, Q.X.; Gao, S.Y. Open-source wire and arc additive manufacturing system: Formability, microstructures, and mechanical properties. Int. J. Adv. Manuf. Technol. 2017, 93, 2145–2154. [Google Scholar] [CrossRef]
- Wu, B.; Pan, Z.; Ding, D.; Cuiuri, D.; Li, H.; Fei, Z. The effects of forced interpass cooling on the material properties of wire arc additively manufactured Ti6Al4V alloy. J. Mater. Process. Technol. 2018, 258, 97–105. [Google Scholar] [CrossRef]
- Zhang, K.; Wang, S.; Liu, W.; Long, R. Effects of substrate preheating on the thin-wall part built by laser metal deposition shaping. Appl. Surf. Sci. 2014, 317, 839–855. [Google Scholar] [CrossRef]
- Wang, J.; Pan, Z.; Carpenter, K.; Han, J.; Wang, Z.; Li, H. Comparative study on crystallographic orientation, precipitation, phase transformation and mechanical response of Ni-rich NiTi alloy fabricated by WAAM at elevated substrate heating temperatures. Mater. Sci. Eng. A 2021, 800, 140307. [Google Scholar] [CrossRef]
- Goviazin, G.G.; Rittel, D.; Shirizly, A. Achieving high strength with low residual stress in WAAM SS316L using flow-forming and heat treatment. Mater. Sci. Eng. A 2023, 873, 145043. [Google Scholar] [CrossRef]
- Xin, B.; Zhou, X.; Cheng, G.; Yao, J.; Gong, Y. Microstructure and mechanical properties of thin-wall structure by hybrid laser metal deposition and laser remelting process. Opt. Laser Technol. 2020, 127, 106087. [Google Scholar] [CrossRef]
- Chen, G.; Williams, S.; Ding, J.; Wang, C.; Suder, W. Multi-energy source (MES) configuration for bead shape control in wire-based directed energy deposition (w-DED). J. Mater. Process. Technol. 2022, 304, 117549. [Google Scholar] [CrossRef]
- Zhang, H.J.; Zhang, G.J.; Cai, C.B.; Gao, H.M.; Wu, L. Numerical simulation of three-dimension stress field in double-sided double arc multipass welding process. Mater. Sci. Eng. A 2009, 499, 309–314. [Google Scholar] [CrossRef]
- Zhou, Z.; Cai, S.; Chi, Y.; Wei, L.; Zhang, Y. Numerical analysis and experimental investigation of residual stress and properties of T-joint by a novel in-situ laser shock forging and arc welding. J. Manuf. Processes 2023, 104, 164–176. [Google Scholar] [CrossRef]
- Evans, R.; Gockel, J. Modeling the effects of coordinated multi-beam additive manufacturing. Int. J. Adv. Manuf. Technol. 2021, 115, 1075–1087. [Google Scholar] [CrossRef]
- Wu, Q.; Tang, W.; Yang, J.; Shi, X. Comparison of thermomechanical responses of single-arc and dual-arc parallel additive manufacturing. Sci. Technol. Weld. Join. 2023, 28, 580–588. [Google Scholar] [CrossRef]
- He, T.; Yu, S.; Lei, Y.; Yu, W. Design of multi-arc collaborative additive manufacturing system and forming performance research. J. Manuf. Processes 2024, 109, 313–325. [Google Scholar] [CrossRef]
- Yu, Y.; Xiong, J.; Chen, Y.; Zhao, H. Process stability control of corner structures in robotic gas tungsten arc additive manufacturing via arc sensing. J. Manuf. Processes 2023, 101, 156–170. [Google Scholar] [CrossRef]
- Schoinochoritis, B.; Chantzis, D.; Salonitis, K. Simulation of metallic powder bed additive manufacturing processes with the finite element method: A critical review. Proc. Inst. Mech. Eng. Part B J. Eng. Manuf. 2016, 231, 96–117. [Google Scholar] [CrossRef]
- Wu, Q.; Mukherjee, T.; De, A.; DebRoy, T. Residual stresses in wire-arc additive manufacturing—Hierarchy of influential variables. Addit. Manuf. 2020, 35, 101355. [Google Scholar] [CrossRef]
- Wang, L.; Wu, T.; Wang, D.; Liang, Z.; Yang, X.; Peng, Z.; Liu, Y.; Liang, Y.; Zeng, Z.; Oliveira, J.P. A novel heterogeneous multi-wire indirect arc directed energy deposition for in-situ synthesis Al-Zn-Mg-Cu alloy: Process, microstructure and mechanical properties. Addit. Manuf. 2023, 72, 103639. [Google Scholar] [CrossRef]
Parameter | Value and Unit |
---|---|
Speed of deposition | 6 mm/s |
Voltage | 21 V |
Current | 153 A |
Nozzle-to-plate distance | 12 mm |
Wire feed speed | 3.7 m/min |
Bead width | 7.5 mm |
Bead height in the first layer | 2.5 mm |
Bead height in the other layers | 2.0 mm |
Step-over distance between beads | 5.0 mm |
Parameter | Value and Unit |
---|---|
Melting point of substrate material | 1520 °C |
Density of substrate material (27 °C) | 7850 kg/m3 |
Convective heat transfer coefficient (27 °C) | 15 W/m2·°C |
Substrate thermal conductivity (27 °C) | 55 W/M·°C |
Heat source input power | 3197.7 J/cm |
Radiation intensity | 0.6 |
The initial temperature of the substrate and wire | 27 °C |
The Leading Heating Source | The Subsequent Heating Source | Maximum Residual Stress (MPa) | ||
---|---|---|---|---|
Input Power (J/cm) | Current (A) | Voltage (V) | Input Power (J/cm) | |
3197.7 | 173 | 22.1 | 3814.9 | 388.7 |
3197.7 | 163 | 21.5 | 3500.5 | 382.4 |
3197.7 | 153 | 20.9 | 3197.7 | 380.5 |
3197.7 | 143 | 20.3 | 2906.4 | 382.2 |
3197.7 | 133 | 19.4 | 2626.5 | 380.9 |
Max Distortion | Average Distortion | |||
---|---|---|---|---|
Absolute Value/mm | Compared with SHS | Absolute Value/mm | Compared with SHS | |
SHS | 0.173 | - | 0.114 | - |
0 | 0.090 | 52.0% | 0.051 | 44.7% |
5 | 0.097 | 56.1% | 0.056 | 49.1% |
10 | 0.122 | 70.5% | 0.076 | 66.7% |
20 | 0.148 | 85.5% | 0.099 | 86.8% |
30 | 0.155 | 89.6% | 0.102 | 89.5% |
40 | 0.172 | 99.4% | 0.115 | 100.9% |
Hardness/HV | Average | ||||||
---|---|---|---|---|---|---|---|
Point 1 | Point 2 | Point 3 | Point 4 | Point 5 | Point 6 | ||
SHS | 198.2 | 210.2 | 200.5 | 186.9 | 192.2 | 184.8 | 195.5 |
CHSs | 162.6 | 163.7 | 158.9 | 156.2 | 158.1 | 155.9 | 159.2 |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Li, Y.; Zhang, C.; Huang, C.; Wang, X.; Zhang, G.; Zhou, Y. Distortion and Residual Stress Reduction Using Asynchronous Heating Sources for Multi-Robot Coordinated Wire-Arc Directed Energy Deposition. Crystals 2025, 15, 155. https://doi.org/10.3390/cryst15020155
Li Y, Zhang C, Huang C, Wang X, Zhang G, Zhou Y. Distortion and Residual Stress Reduction Using Asynchronous Heating Sources for Multi-Robot Coordinated Wire-Arc Directed Energy Deposition. Crystals. 2025; 15(2):155. https://doi.org/10.3390/cryst15020155
Chicago/Turabian StyleLi, Yongzhe, Chenxiao Zhang, Caowei Huang, Xiaoyu Wang, Guangjun Zhang, and Yijun Zhou. 2025. "Distortion and Residual Stress Reduction Using Asynchronous Heating Sources for Multi-Robot Coordinated Wire-Arc Directed Energy Deposition" Crystals 15, no. 2: 155. https://doi.org/10.3390/cryst15020155
APA StyleLi, Y., Zhang, C., Huang, C., Wang, X., Zhang, G., & Zhou, Y. (2025). Distortion and Residual Stress Reduction Using Asynchronous Heating Sources for Multi-Robot Coordinated Wire-Arc Directed Energy Deposition. Crystals, 15(2), 155. https://doi.org/10.3390/cryst15020155