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Fixture layout optimization for deformable sheet metal workpiece

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Abstract

The purpose of the fixture layout design is to ensure the fixture positioning accuracy, which affects the resultant geometric variation of the positioned workpiece directly. The N–2–1 locating principle is widely applied in the fixture design for deformable sheet metal workpiece, not only for locating the workpiece, but also for restraining the excessive workpiece deformation. This paper proposes an approach to optimizing fixture layout for the sheet metal workpiece based on the 4–2–1 locating scheme. Firstly, three fixture locating points on the primary datum surface are optimized with genetic algorithm based on the rigid model considering the robustness and the geometry stability. Then based on finite element analysis, a back propagation neural network model is built to predict the deformation of the sheet metal workpiece under different fixture layouts and different fixture locator errors, and a genetic algorithm is used to find the optimal position of the fourth fixture locator based on the neural network prediction model. Finally, a case study is given to verify the proposed approach.

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References

  1. Cai W, Hu SJ, Yuan JX (1997) A variational method of robust fixture configuration design for 3-D workpieces. ASME J Manuf Sci Eng 119(4):593–602

    Article  Google Scholar 

  2. Wang BF, Nee AYC (2011) Robust fixture layout with the multi-objective non-dominated ACO/GA approach. CIRP Ann Manuf Technol 60(1):183–186

    Article  Google Scholar 

  3. Jiang K, Zhou X, Li M, Kong X (2013) A multi-objective optimization and decision algorithm for locator layout continuous searching in checking fixture design. Int J Adv Manuf Technol 67:357–366

    Article  Google Scholar 

  4. Diana Pelinescu M, Michael Wang Y (2002) Multi-objective optimal fixture layout design. Robot Comput Integr Manuf 18:365–372

    Article  Google Scholar 

  5. Wang Y, Chen X, Liu Q, Gindy N (2006) Optimisation of machining fixture layout under multi-constraints. Int J Mach Tools Manuf 46:1291–1300

    Article  Google Scholar 

  6. Prabhaharan G, Padmanaban KP, Krishnakumar R (2007) Machining fixture layout optimization using FEM and evolutionary techniques. Int J Adv Manuf Technol 32:1090–1103

    Article  Google Scholar 

  7. Selvakumar S, Arulshri KP, Padmanaban KP, Sasikumar KSK (2013) Design and optimization of machining fixture layout using ANN and DOE. Int J Adv Manuf Technol 65:1573–1586

    Article  Google Scholar 

  8. Selvakumar S, Arulshri KP, Padmanaban KP (2013) Machining fixture layout optimization using genetic algorithm and artificial neural network. Int J Manuf Res 8(2):171–195

    Article  Google Scholar 

  9. Padmanaban KP, Arulshri KP, Prabhakaran G (2009) Machining fixture layout design using ant colony algorithm based continuous optimization method. Int J Adv Manuf Technol 45:922–934

    Article  Google Scholar 

  10. Liu Z, Michael Wang Y, Wang K, Mei X (2013) Multi-objective optimization design of a fixture layout considering locator displacement and force-deformation. Int J Adv Manuf Technol 67:1267–1279

    Article  Google Scholar 

  11. Zheng Y, Chew CM (2010) A geometric approach to automated fixture layout design. Comput Aided Des 42:202–212

    Article  Google Scholar 

  12. Cai W (2006) Robust pin layout design for sheet-panel locating. Int J Adv Manuf Technol 29(5–6):486–494

    Article  Google Scholar 

  13. Cheng H, Li Y, Zhang KF, Su JB (2011) Efficient method of positioning error analysis for aeronautical thinwalled structures multi-state riveting. Int J Adv Manuf Technol 55:217–233

    Article  Google Scholar 

  14. Cheng H, Li Y, Zhang KF (2012) Optimization method of fixture layout for aeronautical thin-walled structures with automated riveting. Assem Autom 32(4):323–332

    Article  Google Scholar 

  15. Cai W, Hu SJ, Yuan JX (1996) Deformable sheet metal fixturing: principles, algorithms and simulations. ASME J Manuf Sci Eng 118(3):318–324

    Article  Google Scholar 

  16. Li B, Tang H, Yang XP, Wang H (2007) Quality design of fixture planning for sheet metal assembly. Int J Adv Manuf Technol 32(7/8):690–697

    Article  Google Scholar 

  17. Xiong L, Molfino R, Zoppi M (2013) Fixture layout optimization for flexible aerospace parts based on self-reconfigurable swarm intelligent fixture system. Int J Adv Manuf Technol 66:1305–1313

    Article  Google Scholar 

  18. Xing Y, Wang Y (2012) Fixture layout design based on two-stage method for sheet metal components. Proc IMechE Part B: J Eng Manuf 227(1):162–172

    Article  Google Scholar 

  19. Camelio J, Hu SJ, Ceglarek D (2004) Impact of fixture design on sheet metal assembly variation. J Manuf Syst 23(3):182–193

    Article  Google Scholar 

  20. Kang Y, Rong Y, Yang J, Ma W (2002) Computer aided fixture design verification. Assem Autom 22(4):350–359

    Article  Google Scholar 

  21. Xiong C, Xiong Y (1998) Stability index and contact configuration planning for multifingered grasp. J Robot Syst 15(4):183–190

    Article  MATH  Google Scholar 

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Correspondence to Cong Lu.

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Lu, C., Zhao, HW. Fixture layout optimization for deformable sheet metal workpiece. Int J Adv Manuf Technol 78, 85–98 (2015). https://doi.org/10.1007/s00170-014-6647-0

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  • DOI: https://doi.org/10.1007/s00170-014-6647-0

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