Optimization of the number and positions of fixture locators in the peripheral milling of a low-rigidity workpiece | The International Journal of Advanced Manufacturing Technology
Skip to main content

Optimization of the number and positions of fixture locators in the peripheral milling of a low-rigidity workpiece

  • ORIGINAL ARTICLE
  • Published:
The International Journal of Advanced Manufacturing Technology Aims and scope Submit manuscript

Abstract

In this paper, a method is proposed to optimize the fixture layout in the peripheral milling of a low-rigidity workpiece. Because the locators on the secondary locating surface directly influence the deformation of the workpiece in peripheral milling, this paper deals with the optimization of the number and positions of the locators on the secondary locating surface. The method proposed in this paper includes two stages. In the first stage, the initial number and positions of the locators are determined by adding the locators at the position with the maximum deformation. In the second stage, the number and positions of the locators are optimized. Using the method proposed in this paper, the number of locators is reduced, while the machining accuracy of the workpiece is retained.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
¥17,985 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (Japan)

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Menassa RJ, DeVries WR (1991) Optimization methods applied to selecting support positions in fixture design. Trans ASME J Eng Ind 113:412–418

    Google Scholar 

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

    Google Scholar 

  3. Roy U, Liao JM (1999) Geometric reasoning for re-allocation of supporting and clamping positions in the automated fixture design system. IIE Trans 31(4):313–322

    Article  Google Scholar 

  4. Vallapuzha S, DeMeter EC, Choudhuri S, Khetan RP (2002) An investigation into the use of spatial coordinates for the genetic algorithm based solution of the fixture layout optimization problem. Int J Mach Tools Manuf 42(2):265–275

    Article  Google Scholar 

  5. Kulankara K, Satyanarayana S, Melkote SN (2002) Iterative fixture layout and clamping force optimization using the genetic algorithm. Trans ASME J Manuf Sci Eng 124(1):119–125

    Article  Google Scholar 

  6. Tan EYT, Kumar AS, Fuh JYH, Nee AYC (2004) Modeling, analysis, and verification of optimal fixturing design. IEEE Trans Automat Sci Eng 1(2):121–132

    Article  Google Scholar 

  7. Rearick MR, Hu SJ, Wu SM (1993) Optimal fixture design for deformable sheet metal workpieces. Trans NAMRI/SME 21:407–412

    Google Scholar 

  8. Liao YG (2003) A genetic algorithm-based fixture locating positions and clamping schemes optimization. Proc Inst Mech Eng B J Eng Manuf 217(8):1075–1083

    Google Scholar 

  9. Li B, Shiu BW, Lau KJ (2001) Principle and simulation of fixture configuration design for sheet metal assembly with laser welding. Part 1: finite-element modelling and a prediction and correction method. Int J Adv Manuf Technol 18(4):266–275

    Article  MATH  Google Scholar 

  10. Li B, Shiu BW (2001). Principle and simulation of fixture configuration design for sheet metal assembly with laser welding. Part 2: optimal configuration design with the genetic algorithm. Int J Adv Manuf Technol 18(4):276–284

    Article  Google Scholar 

  11. Sutherland JW, DeVor RE (1986) An improved method for cutting force and surface error prediction in flexible end milling systems. Trans ASME J Eng Ind 108(4):269–279

    Article  Google Scholar 

  12. Zheng L, Liang SY, Melkote SN (1998) Angle domain analytical model for end milling forces. Trans ASME J Manuf Sci Eng 120(2):252–258

    Google Scholar 

  13. Zheng HQ, Li XP, Wong YS, Nee AYC (1999) Theoretical modelling and simulation of cutting forces in face milling with cutter runout. Int J Mach Tools Manuf 39(12):2003–2018

    Article  Google Scholar 

  14. Liu XW, Cheng K, Webb D, Luo XC (2002) Improved dynamic cutting force model in peripheral milling. Part I: theoretical model and simulation. Int J Adv Manuf Technol 20(9):631–638

    Article  Google Scholar 

  15. Budak E, Altintas Y (1995) Modeling and avoidance of static form errors in peripheral milling of plates. Int J Mach Tools Manuf 35(3):459–476

    Article  Google Scholar 

  16. Tsai JS, Liao CL (1999) Finite-element modeling of static surface errors in the peripheral milling of thin-walled workpieces. J Mater Process Technol 94(2–3):235–246

    Article  Google Scholar 

  17. Ratchev S, Huang W, Liu S, Becker AA (2004) Modelling and simulation environment for machining of low-rigidity components. J Mater Process Technol 153:67–73

    Article  Google Scholar 

  18. Liu SG, Zheng L, Zhang ZH, Wen DH (2006) Optimal fixture design in peripheral milling of thin-walled workpiece. Int J Adv Manuf Technol 28(7–8):653–658

    Article  Google Scholar 

Download references

Acknowledgment

The authors would like to acknowledge the financial support from the Rolls-Royce Company for this investigation.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Shao-Gang Liu.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Liu, SG., Zheng, L., Zhang, ZH. et al. Optimization of the number and positions of fixture locators in the peripheral milling of a low-rigidity workpiece. Int J Adv Manuf Technol 33, 668–676 (2007). https://doi.org/10.1007/s00170-006-0507-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-006-0507-5

Keywords