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Design and optimization of machining fixture layout for end-milling operation

  • K. A. SundararamanEmail author
  • S. Guharaja
  • K. P. Padmanaban
  • M. Sabareeswaran
ORIGINAL ARTICLE

Abstract

High product quality and productivity are the important objectives of manufacturing industries. They are greatly affected by the fixture layout design, and it requires modeling and analysis of fixture-workpiece interactions. In particular, the position of fixture elements has explicit influence on the deformation of the workpiece which needs to be minimized during machining. In order to ensure effective fixture layout design, the relationship between the position of fixture elements and workpiece deformation has to be modeled and optimized. In this research paper, workpiece deformation is modeled using response surface methodology. The developed model is tested for model adequacy, and the results obtained are matched with the simulated data. Then, it is used to minimize the workpiece deformation by determining the appropriate positions of locators and clamps using sequential approximation optimization and LINGO solver. It is found that integration of response surface methodology, with sequential approximation optimization, produces better results than LINGO solver.

Keywords

Fixture layout design Finite element method Response surface methodology Sequential approximation optimization 

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References

  1. 1.
    Kang X, Peng Q (2009) Recent research on computer-aided fixture planning. Recent Patents Mech Eng 2:8–18CrossRefGoogle Scholar
  2. 2.
    Vallapuzha S, De Meter EC, Choudhuri S, Khetan RP (2002) An investigation of the effectiveness of fixture layout optimization methods. Int J Mach Tools Manuf 42(2):251–263CrossRefGoogle Scholar
  3. 3.
    Menassa RJ, DeVries WR (1991) Optimization methods applied selecting support positions in fixture design. J Eng Ind ASME Trans 113:412–418Google Scholar
  4. 4.
    Jayaram S, El-Khasawneh BS, Beutel DE, Merchant ME (2000) A fast analytical method to compute optimum stiffness of fixturing locators. CIRP Ann Manuf Technol 49(1):317–320CrossRefGoogle Scholar
  5. 5.
    Wang XC, Liu Q, Gindy N (2006) Optimisation of machining fixture layout under multi-constraints. Int J Mach Tools Manuf 46:1291–1300CrossRefGoogle Scholar
  6. 6.
    Pelinescu DM, Wang MY (2002) Multi-objective optimal fixture layout design. Robot Comput Integr Manuf 18:365–372CrossRefGoogle Scholar
  7. 7.
    Marin RA, Ferreira PM (2003) Analysis of the influence of fixture locator errors on the compliance of work part features to geometric tolerance specifications. J Manuf Sci Eng 125(3):609, 8 pagesCrossRefGoogle Scholar
  8. 8.
    ANSYS 8.0, ANSYS Inc., 2003Google Scholar
  9. 9.
    Kaya N (2005) Machining fixture locating and clamping position optimization using genetic algorithms. Comput Ind 57(2):112–120CrossRefGoogle Scholar
  10. 10.
    Liao X, Gary Wang G (2006) Simultaneous optimization of fixture and joint positions for non-rigid sheet metal assembly. Int J Adv Manuf Technol 36(3–4):386–394Google Scholar
  11. 11.
    Senthil kumar A, Subramaniam V, Seow KC (1999) Conceptual design of fixtures using genetic algorithms. Int J Adv Manuf Technol 15(2):79–84CrossRefGoogle Scholar
  12. 12.
    Krishnakumar K, Melkote SN (2000) Machining fixture layout optimization using genetic algorithm. Int J Mach Tools Manuf 40(4):579–598CrossRefGoogle Scholar
  13. 13.
    Kulankara K, Satyanarayana S, Melkote SN (2002) Iterative fixture layout and clamping force optimization using genetic algorithm. J Manuf Sci Eng 124:119–125CrossRefGoogle Scholar
  14. 14.
    Prabhaharan G, Padmanaban KP, Krishnakumar R (2007) Machining fixture layout optimization using FEM and evolutionary techniques. Int J Adv Manuf Technol 32(11–12):1090–1103CrossRefGoogle Scholar
  15. 15.
    Chen W, Ni L, Xue J (2008) Deformation control through fixture layout design and clamping force optimization. Int J Adv Manuf Technol 38(9–10):860–867CrossRefGoogle Scholar
  16. 16.
    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(9–10):922–934CrossRefGoogle Scholar
  17. 17.
    Siva Kumar, K., & Paulraj, G. Genetic algorithm based deformation control and clamping force optimisation of workpiece fixture system. Int J Prod Res. doi:  10.1080/00207540903499438, published online 13 April 2010
  18. 18.
    Selvakumar, Arulshri KP, & Padmanaban KP (2010) Application of ANN in the machining fixture layout optimization for minimum deformation of workpiece using FEM, Int J Appl Eng Res. 5(10)Google Scholar
  19. 19.
    Myers RH, Montgomery DH (1995) Response surface methodology. John Wiley & Sons, USAzbMATHGoogle Scholar

Copyright information

© Springer-Verlag London 2014

Authors and Affiliations

  • K. A. Sundararaman
    • 1
    Email author
  • S. Guharaja
    • 2
  • K. P. Padmanaban
    • 3
  • M. Sabareeswaran
    • 4
  1. 1.Department of Mechanical EngineeringSSM Institute of Engineering and TechnologyDindigulIndia
  2. 2.M.I.E.T Engineering CollegeTiruchirappalliIndia
  3. 3.SBM College of Engineering & TechnologyDindigulIndia
  4. 4.Department of Mechanical EngineeringSBM College of Engineering & TechnologyDindigulIndia

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