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An adaptive slicing algorithm for laser cladding remanufacturing of complex components

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Abstract

In this paper we aim to solve the problems of laser cladding remanufacturing of damaged complex components. First, a model of a workpiece to be repaired was pre-sliced finely by using the minimum layer thickness. On this basis, an algorithm for calculating step width was proposed. When a workpiece side angle meets |a − 180∣ not more than 40°, the distance from the projection point to the left or right lines of the closest contour point is calculated, and the distance closest to that of the previous contour point as the step width of the current point is noted. When a workpiece side angle meets |a − 180∣ more than 40°, the corner feature of the contour point is obvious, and the distance from the projection point to the corresponding point is taken directly as the step width of the current point. After which, the slices with the minimum layer thickness are merged layer by layer, according to the maximum step width required by the process and the maximum acceptable layer thickness. Finally, the algorithm was verified by using a laser repair example. The method of calculating the step width accurately reflected variations of the curvatures between adjacent layers, or the whole contour profile. Also, the adaptive slicing algorithm balanced the build time and repair qualities, further, which addressed the loss of curvature mutation in conventional stepwise uniform refinement and improved the slicing efficiency.

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References

  1. 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 92:1–10. https://doi.org/10.1007/s00170-017-0384-0

    Article  Google Scholar 

  2. 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. https://doi.org/10.1016/j.jclepro.2014.05.084

    Article  Google Scholar 

  3. Piya C, Wilson JM, Murugappan S, Shin Y, Ramani K (2011) Virtual Repair: Geometric Reconstruction for Remanufacturing Gas Turbine Blades. Proceedings of the ASME 2011 International Design Engineering Technical Conferences & Design for Manufacturing and the Life Cycle Conference,Washington, DC, USA, pp 95–904. https://doi.org/10.1115/detc2011-48652

  4. Bremer C (2000) Adaptive Strategies for Manufacturing and Repair of Blades and Blisks. ASME Turbo Expo 2000: Power for Land, Sea, and Air, pp V004T001A010-V004T001A010. https://doi.org/10.1115/2000-gt-0340

  5. Nan LL, Liu WJ, Zhang K (2011) Laser remanufacturing based on the integration of reverse engineering and laser cladding. Int J Comput Appl Technol 37:116–124. https://doi.org/10.1504/ijcat.2010.032200

    Article  Google Scholar 

  6. Gao J, Chen X, Yilmaz O, Gindy N (2008) An integrated adaptive repair solution for complex aerospace components through geometry reconstruction. Int J Adv Manuf Technol 36:1170–1179. https://doi.org/10.1007/s00170-006-0923-6

    Article  Google Scholar 

  7. Hope RL, Roth RN, Jacobs PA (2013) Adaptive slicing with sloping layer surfaces. Rapid Prototyp J 3:89–98. https://doi.org/10.1108/13552549710185662

    Article  Google Scholar 

  8. Dolenc A, Mäkelä I (1994) Slicing procedures for layered manufacturing techniques. Comput Aided Des 26:119–126. https://doi.org/10.1016/0010-4485(94)90032-9

    Article  Google Scholar 

  9. Sabourin E, Houser SA, Helge Bøhn J (1996) Adaptive slicing using stepwise uniform refinement. Rapid Prototyp J 2:20–26. https://doi.org/10.1108/13552549610153370

    Article  Google Scholar 

  10. Sanii E, Cormier D, Unnanon K (2000) Specifying non-uniform cusp heights as a potential aid for adaptive slicing. Rapid Prototyp J 6:204–212. https://doi.org/10.1108/13552540010337074

    Article  Google Scholar 

  11. Mani K, Kulkarni P, Dutta D (1999) Region-based adaptive slicing. Comput Aided Des 31:317–333. https://doi.org/10.1016/s0010-4485(99)00033-0

    Article  MATH  Google Scholar 

  12. Ma W, He P (1999) An adaptive slicing and selective hatching strategy for layered manufacturing. J Mater Process Technol 89–90:191–197. https://doi.org/10.1016/s0924-0136(99)00043-6

    Article  Google Scholar 

  13. Kumar M, Roy CA (2002) Adaptive slicing with cubic patch approximation. Rapid Prototyp J 8:224–232. https://doi.org/10.1108/13552540210441139

    Article  Google Scholar 

  14. Ma W, But WC, He P (2004) NURBS-based adaptive slicing for efficient rapid prototyping. Comput Aided Des 36:1309–1325. https://doi.org/10.1016/j.cad.2004.02.001

    Article  Google Scholar 

  15. Rianmora S, Koomsap P (2010) Recommended slicing positions for adaptive direct slicing by image processing technique. Int J Adv Manuf Technol 46:1021–1033. https://doi.org/10.1007/s00170-009-2162-0

    Article  Google Scholar 

  16. Pandey PM, Reddy NV, Dhande SG (2003) Real time adaptive slicing for fused deposition modelling. Int J Mach Tool Manu 43:61–71. https://doi.org/10.1016/s0890-6955(02)00164-5

    Article  Google Scholar 

  17. Guo KB, Wang CJ, Zhang LC, Huang SH (2007) Boolean operations of STL models based on loop detection. Int J Adv Manuf Technol 33:627–633. https://doi.org/10.1007/s00170-006-0487-5

    Article  Google Scholar 

  18. Fu G, Fu J, Lin Z, Shen H, Jin YA (2017) A polygons Boolean operations-based adaptive slicing with sliced data for additive manufacturing. P I Mech Eng C-J Mec 231:2783–2799. https://doi.org/10.1177/0954406216640576

    Article  Google Scholar 

  19. Zhou MY (2004) Adaptive slicing of functionally graded material objects for rapid prototyping. Int J Adv Manuf Technol 24:345–352. https://doi.org/10.1007/s00170-003-1623-0

    Article  Google Scholar 

  20. Wang S, Wang Y, Zhu XX, Chen CS (2013) An adaptive slicing algorithm and data format for functionally graded;material objects. Int J Adv Manuf Technol 65:251–258. https://doi.org/10.1007/s00170-012-4164-6

    Article  Google Scholar 

  21. Liang M (2008) Rapid slicing algorithm based on dynamic topological reconstruction for STL model. Chin J Laser 35:1623–1626. https://doi.org/10.3788/cjl20083510.1623

    Article  Google Scholar 

  22. Choi S, Kwok K (2002) A tolerant slicing algorithm for layered manufacturing. Rapid Prototyp J 8:161–179. https://doi.org/10.1108/13552540210430997

    Article  Google Scholar 

  23. Liu B (1996) Research on the automatic compensation for the line-width in the rapid prototyping & manufacturing technology. China Mech Eng 7:43–47

    MathSciNet  Google Scholar 

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Acknowledgements

Financial funding was provided by National Defense Basic Scientific Research Program of China (A0720132003) and National Natural Science Foundation of China (Grant Nos. 51775338 and 51875354).

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Correspondence to Ke Zhang.

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Zhang, K., Li, D., Gui, H. et al. An adaptive slicing algorithm for laser cladding remanufacturing of complex components. Int J Adv Manuf Technol 101, 2873–2887 (2019). https://doi.org/10.1007/s00170-018-3107-2

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  • DOI: https://doi.org/10.1007/s00170-018-3107-2

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