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A method to generate AWJ cutting path for a large-size part without well-defined location characteristics

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Abstract

Machining composite parts is a challenging manufacturing process. Many of these composite parts are not only with very large sizes but also lack of well-defined location characteristics. And usually, these composite parts are with burrs distributed on the periphery that require trimming. An industrial robot equipped with an abrasive water jet (AWJ) has been proved to be an effective method for trimming composite parts. This article proposed a method to solve the problem of trimming large-size composite parts without well-defined location characteristics with an AWJ robot. A standard block is bound on the end effector of the AWJ robot, as a locating reference. Then, by moving the AWJ robot so that this standard block is at the proximity of selected regions, the selected regions, along with this standard block, are scanned with a portable laser scanner. With the help of the standard block, a local coordinate system is established for the point cloud generated at each region. And further, the point clouds of these several regions are constructed into an integrated point cloud system through coordinate system transformation. Therefore, without using a large batch of magnetic stickers, a point cloud system of the large-size part is obtained. Finally, by matching the point cloud system with the 3D model of the expected final product, the 3D model of the expected final product is used to generate the tool cutting path with a special 3D CAM program. With this method, trimming large-size composite parts without well-defined location characteristics becomes realistic.

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References

  1. Wang Q, Deng D, Huang B (2011) Experimental study on 3-phase abrasive waterjet deburring [J]. Adv Mater Res 411:335–338

    Article  Google Scholar 

  2. Wang S, Zhang S, Yuqiang W (2017) A key parameter to characterize the kerf profile error generated by abrasive water-jet [J]. Int J Adv Manuf Technol 90(5-8):1265–1275

    Article  Google Scholar 

  3. Ming Chen, Shijin Zhang, Jiyue Zeng. Correcting shape error on external corners caused by the cut-in/cut-out process in abrasive water jet cutting [J]. The International Journal of Advanced Manufacturing Technology,2019,103(1-4).

  4. Amaia A, Alfredo S, Artaza T, Gustavo E-P (2013) Composite cutting with abrasive water jet [J]. Procedia Engineering 63(Complete):421–429

    Google Scholar 

  5. Song L, Wang P-q, Xi J-t (2015) Multi-view coordinate system transformation based on robot [J]. Optoelectron Lett 11:473–476

    Article  Google Scholar 

  6. Okarma K, Grudzinski M The 3D scanning system for the machine vision based positioning of workpieces on the CNC machine tools [C]. International Conference on Methods & Models in Automation&Robotics. IEEE.

  7. Li Z, He X-l, Wei Y (2017) Blank positioning technology based on the registration and alignment of the scanning point cloud and CAD model [J]. Manufacturing Automation 39(1):53–57

    Google Scholar 

  8. Dong W, Zhou K (2015) Application of point cloud registration in localization for large-size work-piece surface [J]. Computer Application Research 32(8):2347–2349

    Google Scholar 

  9. Yu W, Zhou M (2015) Automatic registration method based on curvature [J]. Journal of System Simulation:27(10)

  10. Yuda Mo, Xiangjun Zou, Weiming Situ, Shaofeng Luo. Target accurate positioning based on the point cloud created by stereo vision [C]// International Conference on Mechatronics & Machine Vision in Practice. IEEE, 2017.

    Google Scholar 

  11. Fuguo Liu, Xiaoping Lou, Naiguang Lv, Peng Sun (2010) Position and orientation measurement for large-size workpiece based on binocular vision [C]// Optical Metrology and Inspection for Industrial Applications. International Society for Optics and Photonics.

  12. Wang W, Yun C (2011) A path planning method for robotic belt surface grinding [J]. Chinese J Aeronaut (English version) 24(4):520–526

    Article  Google Scholar 

  13. Guifang Zhang, Junwei Wang, Feng Cao. 3D curvature grinding path planning based on point cloud data[C]// 2016 12th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA). IEEE, 2016.

    Google Scholar 

  14. Anadil M, Rooh S, Michelle P (2015) Tool path generation, for complex surface machining, using point cloud data [J]. Procedia CIRP 26:397–402

    Article  Google Scholar 

  15. Bian Y, Zhang Y, Gao Z (2013) A path planning method of robotic belt grinding system for grinding workpieces with complex shape surfaces [C]. International Institute Engineers. Proceedings of International Conference on Emerging Trends in Engineering and Technology (ICETET'2013, Phuket). International Institute Engineers: International Institute Engineers:54–59

  16. Aydin N, Wesley E, Jack B (2015) Evolutionary algorithms for generation and optimization of tool paths [J]. CIRP Ann Manuf Technol 64(1):455–458

    Article  Google Scholar 

  17. Song H-c, Song J-b (2013) Precision robotic deburring based on force control for arbitrarily shaped workpiece using CAD model matching [J]. Int J Precis Eng Manuf 14(1):85–91

    Article  Google Scholar 

  18. Vladimir Filaretov, Dmitry Yukhimets, Alexander Zuev, Anton Gubankov. The method of cutting of flexible parts using manipulators and information multiplexing from 3D vision system and CAD model[C]// International Conference on Computer. IEEE, 2016.

    Google Scholar 

  19. Lamovsky D, Lasaruk A (2011) Calibration and reconstruction algorithms for a handheld 3d laser scanner [C]// Advances Concepts for Intelligent Vision Systems - 13th International Conference, ACIVS 2011, Ghent, Belgium, August 22-25, 2011. Springer-Verlag, Proceedings

    Google Scholar 

  20. Gabriele F, Michele M (2015) Laser scanner data machining and 3d modeling using a free and open source software. AIP Conference Proceedings 1648(1)

  21. Guan Y, Cheng X (2008) A robust method for fitting a plane to point clouds [J]. J Tongji Univ (Natural Science Edition) 07:117–120

    Google Scholar 

  22. Ce Han, Dinghua Zhang, Baohai Wu, Kun Pu, Ming Luo. Localization of freeform surface workpiece with particle swarm optimization algorithm [P]. Innovative Design and Manufacturing (ICIDM), Proceedings of the 2014 International Conference on, 2014.

  23. Shi F (2001) Computer aided geometric Design and non-uniform rational B-Spline [M]. Higher education publishing house

  24. Zhang S, Wu Y, Wang S (2015) An exploration of an abrasive water jet cutting front profile [J]. Int J Adv Manuf Technol 80(9-12):1685–1688

    Article  Google Scholar 

  25. Wu Y, Zhang S, Wang S, Yang F, Tao H Method of obtaining accurate jet lag information in abrasive water-jet machining process. Int J Adv Manuf Technol 76(9-12):1827–1835

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Funding

This work was supported by the National Natural Science Foundation of China (Grant No. 51675320).

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Correspondence to Shijin Zhang.

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Zhou, W., Zhang, S. & Xue, J. A method to generate AWJ cutting path for a large-size part without well-defined location characteristics. Int J Adv Manuf Technol 108, 3807–3818 (2020). https://doi.org/10.1007/s00170-020-05592-4

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  • DOI: https://doi.org/10.1007/s00170-020-05592-4

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