Remanufacturing of 3D-Damaged Components Based on LDED Technology
Source abstract
Abstract
Laser-directed energy deposition (LDED) provides a fast and environmentally friendly method for remanufacturing high-value engineering parts, but systematic research into the remanufacturing of 3D-damaged components is lacking. In this paper, LDED remanufacturing study of 3D-damaged components using 18Ni300 was conducted for the demand of high-quality repair of broken teeth of 42CrMo gears. First, reasonable process parameters were achieved through optimal matching of laser energy and powder feeding rate, and the microstructure and mechanical properties of the repaired and bonded regions of the simulated fractured tooth specimens were then systematically analyzed. The results show that the microstructure of the 3D remanufactured structure consists of discrete α-Fe dendrites with light-colored reticular γ-Fe and the presence of granular precipitation phase Ni3(Ti, Mo) in reticular γ-Fe. The hardness of the remanufactured tooth is 396.35 ± 10.11 HV0.2. The tensile strength at the bonding interface reached 102.21% of that of the substrate, and the plasticity is essentially similar. The tensile strength of the remanufactured structure in the scanning direction reaches 135.62% of that of the substrate, and the plasticity is increased by 26.62% compared to the matrix. The bending strength at the junction reaches 103.11% of the substrate and 107.75% of the substrate in the remanufactured region. The mechanical properties and three-dimensional dimensions of the remanufactured tooth basically meet the repair requirements, which can significantly extend the service life of the gear. The research in this paper provides a useful reference for laser additive remanufacturing of 3D-damaged structural parts.
Source: expertdata · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Additive Manufacturing Materials and Processes · Welding Techniques and Residual Stresses · High Entropy Alloys Studies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (60)
Show source-provided references
1. H. Liu, Z. Cheng, W. Yu, G. Wang, J. Zhou, and Q. Cai, Deformation Behavior and Constitutive Equation of 42CrMo Steel at High Temperature, Met., 2021, 11(10), p 1614. https://doi.org/10.3390/met1110161410.3390/met11101614 ↗
2. D. Wang, K. Tsui, and Q. Miao, Prognostics and Health Management: a Review of Vibration Based Bearing and Gear Health Indicators, IEEE Access., 2018, 6, p 665–676. https://doi.org/10.1109/ACCESS.2017.277426110.1109/ACCESS.2017.2774261 ↗
3. H.W. Jiang, Study on Discrimination Pricing Model of Closed-Loop Supply Chain with Product Remanufacturing, Adv. Mater. Res., 2012, 452, p 663–668. https://doi.org/10.4028/www.scientific.net/AMR.452-453.66310.4028/www.scientific.net/AMR.452-453.663 ↗
4. Y. Cui, Z. Guan, C. He, and L. Yue, Research on Remanufacturing Scheduling Problem Based on Critical Chain Management, IOP Conf. Series Mater. Sci. Eng., 2017, 215(1), p 12005. https://doi.org/10.1088/1757-899X/215/1/01200510.1088/1757-899X/215/1/012005 ↗
5. M. Andrew-Munot and R.N. Ibrahim, Development and Analysis of Mathematical and Simulation Models of Decision-Making Tools for Remanufacturing, Prod. Plan. Control., 2013, 24(12), p 1081–1100. https://doi.org/10.1080/09537287.2012.65466710.1080/09537287.2012.654667 ↗
6. J. Kenné, P. Dejax, and A. Gharbi, Production Planning of a Hybrid Manufacturing–Remanufacturing System Under Uncertainty Within a Closed-Loop Supply Chain, Int. J. Prod. Econ., 2012, 135(1), p 81–93. https://doi.org/10.1016/j.ijpe.2010.10.02610.1016/j.ijpe.2010.10.026 ↗
7. J. Um, M. Rauch, J. Hascoët, and I. Stroud, STEP-NC Compliant Process Planning of Additive Manufacturing: Remanufacturing, Int. J. Adv. Manuf. Technol., 2017, 88(5–8), p 1215–1230. https://doi.org/10.1007/s00170-016-8791-110.1007/s00170-016-8791-1 ↗
8. V. Vinoth, T. Sekar, and M. Kumaran, Investigations on the Mechanical Characteristics of the Stainless Steel 316L Alloy Fabricated by Directed Energy Deposition for Repairing Application, J. Mater. Eng. Perform., 2023 https://doi.org/10.1007/s11665-023-07884-810.1007/s11665-023-07884-8 ↗
9. M. Marya, V. Singh, J. Hascoet, and S. Marya, A Metallurgical Investigation of the Direct Energy Deposition Surface Repair of Ferrous Alloys, J. Mater. Eng. Perform., 2018, 27(2), p 813–824. https://doi.org/10.1007/s11665-017-3117-510.1007/s11665-017-3117-5 ↗
10. D. Wu, J. Shi, F. Niu, G. Ma, C. Zhou, and B. Zhang, Direct Additive Manufacturing of Melt Growth Al2O3-ZrO2 Functionally Graded Ceramics by Laser Directed Energy Deposition, J. Eur. Ceram. Soc., 2022, 42(6), p 2957–2973. https://doi.org/10.1016/j.jeurceramsoc.2022.01.03410.1016/j.jeurceramsoc.2022.01.034 ↗
11. D. Wu, X. Yu, Z. Zhao, G. Ma, C. Zhou, B. Zhang, G. Ren, J. Han, H. Wang and F. Niu, Direct Additive Manufacturing of TiCp reinforced Al2O3-ZrO2 Eutectic Functionally Graded Ceramics by Laser Directed Energy Deposition, J. Eur. Ceram. Soc., 2023, 43(6), p 2718–2723. https://doi.org/10.1016/j.jeurceramsoc.2022.12.06810.1016/j.jeurceramsoc.2022.12.068 ↗
12. D. Wu, X. Yu, Z. Zhao, G. Ma, C. Zhou, B. Zhang, G. Ren and F. Niu, One-step Additive Manufacturing of TiCp Reinforced Al2O3–ZrO2 Eutectic Ceramics Composites By Laser Directed Energy Deposition, Ceram. Int., 2023, 49(8), p 12758–12771. https://doi.org/10.1016/j.ceramint.2022.12.14110.1016/j.ceramint.2022.12.141 ↗
13. D.A. Wahab and A.H. Azman, Additive Manufacturing for Repair and Restoration in Remanufacturing: An Overview from Object Design and Systems Perspectives, Processes., 2019, 7(11), p 802. https://doi.org/10.3390/pr711080210.3390/pr7110802 ↗
14. S.S. Mad Yusoh, D. Abd Wahab, H. Adil Habeeb and A. Hadi Azman, Intelligent Systems for Additive Manufacturing-based Repair in Remanufacturing: A Systematic Review of its Potential, PeerJ Comput. Sci., 2021, 7, p e808. https://doi.org/10.7717/peerj-cs.80810.7717/peerj-cs.808 ↗
15. M. Leino, J. Pekkarinen and R. Soukka, The Role of Laser Additive Manufacturing Methods of Metals in Repair, Refurbishment and Remanufacturing–Enabling Circular Economy, Phys. Procedia., 2016, 83, p 752–760. https://doi.org/10.1016/j.phpro.2016.08.07710.1016/j.phpro.2016.08.077 ↗
16. K.O. Abdulrahman, E.T. Akinlabi and R.M. Mahamood, Laser Metal Deposition Technique: Sustainability and Environmental Impact, Procedia Manuf., 2018, 21, p 109–116. https://doi.org/10.1016/j.promfg.2018.02.10010.1016/j.promfg.2018.02.100 ↗
17. M.O. Gushchina, Y.O. Kuzminova, E.A. Kudryavtsev et al., Effect of Scanning Strategy on Mechanical Properties of Ti-6Al-4V Alloy Manufactured by Laser Direct Energy Deposition, J. Mater. Eng. Perform., 2022, 31(4), p 2783–2791. https://doi.org/10.1007/s11665-021-06407-710.1007/s11665-021-06407-7 ↗
18. F. Klocke, K. Arntz, M. Teli, K. Winands, M. Wegener and S. Oliari, State-of-the-art Laser Additive Manufacturing for Hot-work Tool Steels, Procedia CIRP., 2017, 63, p 58–63. https://doi.org/10.1016/j.procir.2017.03.07310.1016/j.procir.2017.03.073 ↗
19. H.H. Tang, Direct Laser Fusing to Form Ceramic Parts, Rapid Prototyp. J., 2002, 8(5), p 284–289. https://doi.org/10.1108/1355254021045175010.1108/13552540210451750 ↗
20. Y. Zhao, J. Sun, Z. Jia, W. Cheng and J. Wang, Research on Laser Additive and Milling Subtractive Composite Remanufacturing Process of Compressor Blade, J. Manuf. Mater. Process., 2018, 2(4), p 73. https://doi.org/10.3390/jmmp204007310.3390/jmmp2040073 ↗
21. X. Zhang, W. Li and F. Liou, Damage Detection and Reconstruction Algorithm in Repairing Compressor Blade by Direct Metal Deposition, Int. J. Adv. Manuf. Technol., 2018, 95(5–8), p 2393–2404. https://doi.org/10.1007/s00170-017-1413-810.1007/s00170-017-1413-8 ↗
22. C. Guo, N. Lv, H. Yue, Q. Li and J. Zhang, Laser Additive Remanufacturing Parameters Optimization and Experimental Study of Heavy-Duty Sprocket, Int. J. Adv. Manuf. Technol., 2022, 118(11–12), p 3789–3800. https://doi.org/10.1007/s00170-021-08201-010.1007/s00170-021-08201-0 ↗
23. A. Saboori, A. Aversa, G. Marchese, S. Biamino, M. Lombardi and P. Fino, Application of Directed Energy Deposition-Based Additive Manufacturing in Repair, Appl. Sci., 2019, 9(16), p 3316. https://doi.org/10.3390/app916331610.3390/app9163316 ↗
24. X. Zhang, W. Cui, W. Li and F. Liou, A Hybrid Process Integrating Reverse Engineering, Pre-Repair Processing, Additive Manufacturing, and Material Testing for Component Remanufacturing, Materials., 2019, 12(12), p 1961. https://doi.org/10.3390/ma1212196110.3390/ma12121961 ↗
25. Y. Shen, Y. Wei and R. Liu, A Path Generation Method for Wire and Arc Additive Remanufacturing of Complex Hot Forging Dies, Int. J. Adv. Manuf. Technol., 2021, 117(5–6), p 1935–1943. https://doi.org/10.1007/s00170-021-07813-w10.1007/s00170-021-07813-w ↗
26. Z. Hu, X. Qin and T. Shao, Welding Thermal Simulation and Metallurgical Characteristics Analysis in WAAM for 5CrNiMo Hot Forging Die Remanufacturing, Procedia Engineering., 2017, 207, p 2203–2208. https://doi.org/10.1016/j.proeng.2017.10.98210.1016/j.proeng.2017.10.982 ↗
27. M. Paulic, T. Irgolic, J. Balic, F. Cus, A. Cupar, T. Brajlih and I. Drstvensek, Reverse Engineering of Parts with Optical Scanning and Additive Manufacturing, Procedia Eng., 2014, 69, p 795–803. https://doi.org/10.1016/j.proeng.2014.03.05610.1016/j.proeng.2014.03.056 ↗
28. D. Böckin and A. Tillman, Environmental Assessment of Additive Manufacturing in the Automotive Industry, J. Clean Prod., 2019, 226, p 977–987. https://doi.org/10.1016/j.jclepro.2019.04.08610.1016/j.jclepro.2019.04.086 ↗
29. H. Yu, Modeling a Remanufacturing Reverse Logistics Planning Problem: Some Insights into Disruptive Technology Adoption, Int. J. Adv. Manuf. Technol., 2022, 123(11–12), p 4231–4249. https://doi.org/10.1007/s00170-022-10387-w10.1007/s00170-022-10387-w ↗
30. A. Saboori, A. Aversa, F. Bosio et al., An Investigation on the Effect of Powder Recycling on the Microstructure and Mechanical Properties of AISI 316L Produced by Directed Energy Deposition, Mater. Sci. Eng. A., 2019, 766, p 138360. https://doi.org/10.1016/j.msea.2019.13836010.1016/j.msea.2019.138360 ↗
31. D. Wu, C. Yu, Q. Wang, F. Niu, G. Ma, H. Wang, C. Zhou and B. Zhang, Synchronous-Hammer-forging-Assisted Laser Directed Energy Deposition Additive Manufacturing of High-Performance 316L Samples, J. Mater. Process. Technol., 2022, 307, p 11769. https://doi.org/10.1016/j.jmatprotec.2022.11769510.1016/j.jmatprotec.2022.117695 ↗
32. R.R. Mendonça, I.M.S. Nogueira, J.F.P. Lovo and L.C.F. Canale, Multiple Etchings Methodology: A New Approach in Multiphase Steel Characterization, J. Microsc., 2020, 277(2), p 93–99. https://doi.org/10.1111/jmi.1287110.1111/jmi.12871 ↗
33. M. Bönisch, T. Waitz, M. Calin, W. Skrotzki and J. Eckert, Tailoring the Bain Strain of Martensitic Transformations in Ti Nb Alloys by Controlling the Nb Content, Int. J. Plast., 2016, 85, p 190–202. https://doi.org/10.1016/j.ijplas.2016.07.01010.1016/j.ijplas.2016.07.010 ↗
34. E.A. Jägle, P. Choi, J. Van Humbeeck and D. Raabe, Precipitation and Austenite Reversion Behavior of a Maraging Steel Produced by Selective Laser Melting, J. Mater. Res., 2014, 29(17), p 2072–2079. https://doi.org/10.1557/jmr.2014.20410.1557/jmr.2014.204 ↗
35. N. Raghavan, R. Dehoff, S. Pannala, S. Simunovic, M. Kirka, J. Turner, N. Carlson and S.S. Babu, Numerical Modeling of Heat-Transfer and the Influence of Process Parameters on Tailoring the Grain Morphology of IN718 in Electron Beam Additive Manufacturing, Acta Mater., 2016, 112, p 303–314. https://doi.org/10.1016/j.actamat.2016.03.06310.1016/j.actamat.2016.03.063 ↗
36. Y.T. Tang, C. Panwisawas, J.N. Ghoussoub et al., Alloys-by-design: Application to New Superalloys for Additive Manufacturing, Acta Mater., 2021, 202, p 417–436. https://doi.org/10.1016/j.actamat.2020.09.02310.1016/j.actamat.2020.09.023 ↗
37. A.A. Antonysamy, J. Meyer and P.B. Prangnell, Effect of Build Geometry on the β-grain Structure and Texture in Additive Manufacture of Ti6Al4V by Selective Electron Beam Melting, Mater. Charact., 2013, 84, p 153–168. https://doi.org/10.1016/j.matchar.2013.07.01210.1016/j.matchar.2013.07.012 ↗
38. D. Zhao, D. Wu, J. Shi, F. Niu and G. Ma, Microstructure and Mechanical Properties of Melt-Grown Alumina-mullite/Glass Composites Fabricated by Directed Laser Deposition, J. Adv. Ceram., 2022, 11(1), p 75–93. https://doi.org/10.1007/s40145-021-0518-610.1007/s40145-021-0518-6 ↗
39. Y. Huang, D. Wu, D. Zhao, F. Niu and G. Ma, Investigation of Melt-Growth Alumina/aluminum titanate Composite Ceramics Prepared by Directed Energy Deposition, Int. J. Extreme Manuf., 2021, 3(3), p 35101. https://doi.org/10.1088/2631-7990/abf71a10.1088/2631-7990/abf71a ↗
40. G. Barragan, D.A. Rojas Perilla, J. Grass Nuñez, F. Mariani and R. Coelho, Characterization and Optimization of Process Parameters for Directed Energy Deposition Powder-Fed Laser System, J. Mater. Eng. Perform., 2021, 30(7), p 5297–5306. https://doi.org/10.1007/s11665-021-05762-910.1007/s11665-021-05762-9 ↗
41. W.E. Frazier, Metal Additive Manufacturing: A Review, J. Mater. Eng. Perform., 2014, 23(6), p 1917–1928. https://doi.org/10.1007/s11665-014-0958-z10.1007/s11665-014-0958-z ↗
42. Z. Li, Y. Cui, J. Wang et al., Characterization of Microstructure and Mechanical Properties of Stellite 6 Part Fabricated by Wire Arc Additive Manufacturing, Metals., 2019, 9(4), p 474. https://doi.org/10.3390/met904047410.3390/met9040474 ↗
43. C.L.A. Leung, S. Marussi, R.C. Atwood, M. Towrie, P.J. Withers and P.D. Lee, In situ x-ray imaging of Defect and Molten Pool Dynamics in Laser Additive Manufacturing, Nat. Commun., 2018, 9(1), p 1355. https://doi.org/10.1038/s41467-018-03734-710.1038/s41467-018-03734-7 ↗
44. J.P. Oliveira, T.G. Santos and R.M. Miranda, Revisiting Fundamental Welding Concepts to Improve Additive Manufacturing: From Theory to Practice, Prog Mater Sci, 2020, 107, p 100590. https://doi.org/10.1016/j.pmatsci.2019.10059010.1016/j.pmatsci.2019.100590 ↗
45. D. Wu, D. Zhao, Y. Huang, F. Niu and G. Ma, Shaping Quality, Microstructure, and Mechanical Properties of Melt-Grown Mullite Ceramics by Directed Laser Deposition, J. Alloys Compd., 2021, 871, p 159609. https://doi.org/10.1016/j.jallcom.2021.15960910.1016/j.jallcom.2021.159609 ↗
46. D. Wu, D. Zhao, F. Niu, Y. Huang, J. Zhu and G. Ma, In situ Synthesis of Melt-Grown Mullite Ceramics Using Directed Laser Deposition, J. Mater. Sci., 2020, 55(27), p 12761–12775. https://doi.org/10.1007/s10853-020-04938-310.1007/s10853-020-04938-3 ↗
47. W. Shi, K. Tang, J. Ma, Y. Jia, H. Li and L. Feng, Marangoni Convection Instability in a Sessile Droplet with Low Volatility on Heated Substrate, Int. J. Therm. Sci., 2017, 117, p 274–286. https://doi.org/10.1016/j.ijthermalsci.2017.04.00710.1016/j.ijthermalsci.2017.04.007 ↗
48. Z. Gan, G. Yu, X. He and S. Li, Surface-active Element Transport and its Effect on Liquid Metal Flow in Laser-Assisted Additive Manufacturing, Int. Commun. Heat Mass Transf., 2017, 86, p 206–214. https://doi.org/10.1016/j.icheatmasstransfer.2017.06.00710.1016/j.icheatmasstransfer.2017.06.007 ↗
49. Y.S. Lee and W. Zhang, Modeling of Heat Transfer, Fluid Flow and Solidification Microstructure of Nickel-Base Superalloy Fabricated by Laser Powder Bed Fusion, Addit. Manuf., 2016, 12, p 178–188. https://doi.org/10.1016/j.addma.2016.05.00310.1016/j.addma.2016.05.003 ↗
50. S. Gorsse, C. Hutchinson, M. Gouné and R. Banerjee, Additive Manufacturing of Metals: A Brief Review of the Characteristic Microstructures and Properties of Steels, Ti-6Al-4V and High-entropy Alloys, Sci. Technol. Adv. Mater., 2017, 18(1), p 584–610. https://doi.org/10.1080/14686996.2017.136130510.1080/14686996.2017.1361305 ↗
51. V. Jacquier, J. Zollinger, P. Zeller, M. Dal, F. Schuster, H. Maskrot and W. Pacquentin, Melt Pool Turbulence Effects on the Interface between Dissimilar Materials Manufactured by Directed Energy Deposition with Laser and Powder, J. Mater. Eng. Perform., 2021, 30(12), p 8810–8820. https://doi.org/10.1007/s11665-021-06279-x10.1007/s11665-021-06279-x ↗
52. A.I. Fedyushkin, N.G. Burago and A.A. Puntus, Convective Heat and Mass Transfer Modeling Under Crystal Growth by Vertical Bridgman Method, J. Phys. Conf. Ser., 2020, 1479(1), p 12029. https://doi.org/10.1088/1742-6596/1479/1/01202910.1088/1742-6596/1479/1/012029 ↗
53. V.N. Popov and V. Fomin, The Convective Flows and Mass Transfer of the Alloying Material in the Steel Melt During Heating of the Substrate by a Laser Pulse, AIP Conf Proc., 2018, 2027(1), p 2027. https://doi.org/10.1063/1.506524910.1063/1.5065249 ↗
54. J. Jin, R. Gao, H. Peng, H. Guo, S. Gong and B. Chen, Rapid Solidification Microstructure and Carbide Precipitation Behavior in Electron Beam Melted High-Speed Steel, Metall. Mater. Trans. A., 2020, 51(5), p 2411–2429. https://doi.org/10.1007/s11661-020-05661-z10.1007/s11661-020-05661-z ↗
55. W. Kurz and D.J. Fisher, Dendrite Growth at the Limit of Stability: Tip Radius and Spacing, Acta Metall., 1981, 29(1), p 11–20. https://doi.org/10.1016/0001-6160(81)90082-110.1016/0001-6160(81)90082-1 ↗
56. M. Motyka, Martensite Formation and Decomposition during Traditional and AM Processing of Two-Phase Titanium Alloys—An Overview, Metals., 2021, 11(3), p 481. https://doi.org/10.3390/met1103048110.3390/met11030481 ↗
57. L. Zhu, S. Wang, H. Pan, C. Yuan and X. Chen, Research on Remanufacturing Strategy for 45 Steel Gear Using H13 Steel Powder Based on Laser Cladding Technology[J], J. Manuf. Process., 2020, 49, p 344–354. https://doi.org/10.1016/j.jmapro.2019.12.00910.1016/j.jmapro.2019.12.009 ↗
58. W.J. Sames, F.A. List, S. Pannala, R.R. Dehoff and S.S. Babu, The Metallurgy and Processing Science of Metal Additive Manufacturing, Int. Mater. Rev., 2016, 61(5), p 315–360. https://doi.org/10.1080/09506608.2015.111664910.1080/09506608.2015.1116649 ↗
59. D. Zhang, D. Qiu, M.A. Gibson, Y. Zheng, H.L. Fraser, D.H. StJohn and M.A. Easton, Additive Manufacturing of Ultrafine-Grained High-Strength Titanium Alloys, Nature, 2019, 576(7785), p 91–95. https://doi.org/10.1038/s41586-019-1783-110.1038/s41586-019-1783-1 ↗
60. W. Sun, Y. Ma, W. Huang, W. Zhang and X. Qian, Effects of Build Direction on Tensile and Fatigue Performance of Selective Laser Melting Ti6Al4V Titanium Alloy, Int. J. Fatigue., 2020, 130, p 105260. https://doi.org/10.1016/j.ijfatigue.2019.10526010.1016/j.ijfatigue.2019.105260 ↗