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Low-pressure turbine blade leading edge protection using robotic laser cladding technology

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Abstract

Low-pressure turbine blades are the most erosion-exposed moving parts of the steam turbine. This article brings a detailed overview of an innovative system applying a stellite coating to the leading edge of the steam turbine blades using the robotic laser cladding technology. The system is based on a software that gathers scanned data of the shape-specific workpiece from a laser profile scanner, creates a 3D model of the workpiece and generates a set of laser cladding trajectories that are used for the task of robot navigation during the laser cladding process. The navigation algorithm accounts for the workpiece-specific requirements of the laser cladding process as well as collision avoidance necessities. The shape and thickness of the resulting layer of the laser-cladded coating alloy are verified by an external 3D scanning system showing the compliance of the system with the requirements as well as a space for future development. The feasibility of the developed method is also verified by multiple material and metallographic tests.

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References

  1. Zhu L, Xue P, Lan Q, Meng G, Ren Y, Yang Z, Peihua X, Liu Z (2021) Recent research and development status of laser cladding: A review. Opt Laser Technol 138:106915

    Article  Google Scholar 

  2. Shrivastava A, Mukherjee S, Chakraborty SS (2021) Addressing the challenges in remanufacturing by laser-based material deposition techniques. Opt Laser Technol 144:107404

    Article  Google Scholar 

  3. Bax B, Rajput R, Kellet R, Reisacher M (2018) Systematic evaluation of process parameter maps for laser cladding and directed energy deposition. Addit Manuf 21:487–494

    Google Scholar 

  4. González-Barrio H, Calleja-Ochoa A, López N, de Lacalle L, Lamikiz A (2022) Hybrid manufacturing of complex components: Full methodology including laser metal deposition (LMD) module development, cladding geometry estimation and case study validation. Mech Syst Signal Process 179:109337

    Article  Google Scholar 

  5. Lim W Y S, Cao J, Suwardi A, Meng T L, Tan C K I, Liu H (2022) Recent advances in laser-cladding of metal alloys for protective coating and additive manufacturing. J Adhes Sci Technol

  6. Eboo GM, Blake AG (1986) Laser cladding of gas turbine components. Am Soc Mech Engi Turbo Expo 79320:V005T11A007

  7. Shepeleva L, Medres B, Kaplan WD, Bamberger M, Weisheit A (2000) Laser cladding of turbine blades. Surf Coat Technol 125(1–3):45–48

    Article  Google Scholar 

  8. Brandt M, Sun S, Alam N, Bendeich P, Bishop A (2009) Laser cladding repair of turbine blades in power plants: From research to commercialization. Int Heat Treat Surf Eng 3:105–114

    Article  Google Scholar 

  9. Wittig N (2018) Digitalization: laser metal deposition - the future of spare parts and repairs for industrial steam turbines. Am Soc Mech Eng Turbo Expo 51173:V008T29A002

  10. Zheng H, Cong M, Dong H, Liu Y, Liu D (2017) CAD-based automatic path generation and optimization for laser cladding robot in additive manufacturing. Int J Adv Manuf Technol 92:3605–3614

    Article  Google Scholar 

  11. Gao J, Chen X, Yilamz O, Gindy N (2008) An integrated adaptive repair solution for complex aerospace components through geometry reconstruction. Int J Adv Manuf Technol 36:1170–1179

    Article  Google Scholar 

  12. Jones JB, McNutt P, Tosi R, Perry C, Wimpenny DI (2012) Remanufacture of turbine blades by laser cladding, machining and in-process scanning in a single machine. Ann Int Solid Freeform Fabr Symp, Austin, USA 23:821–827

    Google Scholar 

  13. Liu Y, Bobek T, Klocke F (2015) Laser path calculation method on triangulated mesh for repair process on turbine parts. Comput Aided Des 66:73–81

    Article  Google Scholar 

  14. Wilson JM, Piya C, Shin YC, Zhao F, Ramani K (2014) Remanufacturing of turbine blades by laser direct deposition with its energy and environmental impact analysis. J Clean Prod 80:170–178

    Article  Google Scholar 

  15. Imam HZ, Zheng Y, Ahmad R (2021) An efficient tool-path planning approach for repair of cylindrical components via laser cladding. J Remanuf 11(2):137–146

    Article  Google Scholar 

  16. Shin T, Park SJ, Kang KS, Kim JS, Kim Y, Lim Y, Lim D (2017) A laser-aided direct metal tooling technology for artificial joint surface coating. Int J Precis Eng Manuf 18(2):233–238

    Article  Google Scholar 

  17. Li Y, Chen T, Liu D (2020) Path planning for laser cladding robot on artificial joint surface based on topology reconstruction. Algorithms 13(4):93

    Article  Google Scholar 

  18. Masood A, Siddiqui R, Pinto M, Rehman H, Khan MA (2015) Tool path generation, for complex surface machining, using point cloud data. Procedia CIRP 26:397–402

    Article  Google Scholar 

  19. Mineo C, Pierce SG, Nicholson PI, Cooper I (2017) Introducing a novel mesh following technique for approximation-free robotic tool path trajectories. J Comput Des Eng 4(3):192–202

    Google Scholar 

  20. Wang X, Sun W, Chen Y, Zhang J, Huang Y, Huang H (2018) Research on trajectory planning of complex curved surface parts by laser cladding remanufacturing. Int J Adv Manuf Technol 96(5):2397–2406

    Article  Google Scholar 

  21. Zheng Y, Liu J, Liu Z, Wang T, Ahmad R (2019) A primitive-based 3D reconstruction method for remanufacturing. Int J Adv Manuf Technol 103(9):3667–3681

    Article  Google Scholar 

  22. Vaníček O, Chaluš M, Liška J (2020) Automatic Navigation System for 3D Robotic Laser Cladding. IEEE Int Carpathian Control Conf (ICCC) 21:1–6

    Google Scholar 

  23. Hao J, Meng Q, Li C, Li Z, Wu D (2019) Effects of tilt angle between laser nozzle and substrate on bead morphology in multi-axis laser cladding. J Manuf Process 43(A):311–322

    Article  Google Scholar 

  24. Wirth F, Wegener K (2018) A physical modeling and predictive simulation of the laser cladding process. Addit Manuf 22:307–319

    Google Scholar 

  25. Liška J, Vaníček O, Chaluš M (2018) Hand-eye calibration of a laser profile scanner in robotic welding. IEEE/ASME Int Conf Adv Intell Mechatron (AIM) 316–321

  26. Liška J, Chaluš M, Vaníček O (2018) Iterative refinement of hand-eye calibration. IEEE Int Conf Autom Sci Eng (CASE) 14:457–462

    Google Scholar 

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Funding

This work was supported from ERDF under project “Research Cooperation for Higher Efficiency and Reliability of Blade Machines (LoStr)” No. CZ.02.1.01/0.0/0.0/16_026/ 0008389.

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Contributions

The used measurement, processing and robot control software was developed by Michal Chaluš, Jindřich Liška and Ondřej Vaníček. The leading edge detection, clad bead emplacement and collision avoidance algorithm was developed by Ondřej Vaníček. The cladding area design was proposed by Tomáš Glusa and Jakub Vlasák. The laser cladding process was performed by Karel Brom and his colleagues. The verification 3D scanning and geometric analysis was performed by Eva Vašíčková. The material tests were performed by Tomáš Glusa. The first draft of the manuscript was written by Ondřej Vaníček, and all authors commented on previous versions of the manuscript.

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Correspondence to Ondřej Vaníček.

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Vaníček, O., Chaluš, M., Liška, J. et al. Low-pressure turbine blade leading edge protection using robotic laser cladding technology. Int J Adv Manuf Technol 122, 2543–2559 (2022). https://doi.org/10.1007/s00170-022-10006-8

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  • DOI: https://doi.org/10.1007/s00170-022-10006-8

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