Skip to main content

Advertisement

SpringerLink
Log in

An investigation of the optimal load paths for the hydroforming of T-shaped tubes

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

Abstract

This paper proposes a new method to design the optimal load curves for hydroforming T-shaped tubular parts. In order to assess the mathematical models, a combination of design of experiment and finite element simulation was used. The optimum set of loading variables was obtained by embedding the mathematical models for tube formability indicators into a simulated annealing algorithm. The adequacy of the optimum results was evaluated by genetic algorithm. Using this method, the effect of all loading paths was considered in hydroforming of T-shaped tubes. Eliminating of variables with lower effect could simplify the problem and help designers to study the effect of other parameters such as geometrical conditions and loading parameters. Applying the optimal load paths obtained with the proposed method caused an improvement in the thickness distribution in the part as well as a decrease in maximum pressure.

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Bardelcik A, Worswick MJ (2008) The effect of end-feed on straight and pre-bent tubular hydroforming of DP600 tubes, NUMISHEET 2008, September 1–5, Interlaken, Switzerland, 651–656

  2. Rimkus W, Bauer H, Mihsein MJA (2000) Design of load-curves for hydroforming applications. J Mater Process Technol 108:97–105

    Article  Google Scholar 

  3. Imaninejad M, Subhash G, Loukus A (2005) Loading path optimization of tube hydroforming process. Int J Mach Tools Manuf 45:1504–1514

    Article  Google Scholar 

  4. Koç M, Altan T (2002) Application of two dimensional (2D) FEA for the tube hydroforming process. Int J Mach Tools Manuf 42:1285–1295

    Article  Google Scholar 

  5. Lang L, Yuan S, Wang X, Wang ZR, Fu Z, Danckert J, Nielsen KBA (2004) Study on numerical simulation of hydroforming of aluminum alloy tube. J Mater Process Technol 146:377–388

    Article  Google Scholar 

  6. Cherouat A, Saanouni K, Hammi Y (2002) Numerical improvement of thin tubes hydroforming with respect to ductile damage. Int J Mech Sci 44:2427–2446

    Article  MATH  Google Scholar 

  7. Hama T, Ohkubo T, Kurisu K, Fujimoto H, Takuda H (2006) Formability of tube hydroforming under various loading paths. J Mater Process Technol 177:676–679

    Article  Google Scholar 

  8. Jirathearanat S, Hartl C, Altan T (2004) Hydroforming of Y-shapes-product and process design using FEA simulation and experiments. J Mater Process Technol 146:124–129

    Article  Google Scholar 

  9. Ray P, Mac Donald BJ (2004) Determination of the optimal load path for tube hydroforming processes using a fuzzy load control algorithm and finite element analysis. Finite Elem Anal Des 41:173–192

    Article  Google Scholar 

  10. Boudeau N, Lejeune A, Gelin JC (2002) Influence of material and process parameters on the development of necking and bursting in flange and tube hydroforming. J Mater Process Technol 125–126:849–855

    Article  Google Scholar 

  11. Cheng DM, Teng BG, Guo B, Yuan SJ (2009) Thickness distribution of a hydroformed Y-shape tube. Mater Sci Eng A 499:36–39

    Article  Google Scholar 

  12. Lin FC, Kwan CT (2004) Application of abductive network and FEM to predict an acceptable product on T-shape tube hydroforming process. Comput Struct 15–16:1189–1200

    Article  Google Scholar 

  13. Hwang YM, Lin TC, Chang WC (2007) Experiments on T-shape hydroforming with counter punch. J Mater Process Technol 192–193:243–248

    Article  Google Scholar 

  14. Douglas CM (1996) Introduction to linear regression analysis, 2nd edn. Wiley, New York, pp 8–15

    Google Scholar 

  15. Catoni O (1996) Metropolis, Simulated annealing and iterated energy transformation algorithms: theory and experiments. J Complex 12:595–623

    Article  MathSciNet  MATH  Google Scholar 

  16. Teodorovic D, Pavkovic G (1992) A simulated annealing technique approach to the vehicle routing problem in the case of stochastic demand. Transport Plan Technol 16:261–273

    Google Scholar 

  17. Holland J (1975) Adaptation in natural and artificial systems. University of Michigan Press, Ann Arbor

    Google Scholar 

  18. Kaya IA (2009) Genetic algorithm approach to determine the sample size for attribute control charts. Inf Sci 179:1552–1566

    Article  MathSciNet  Google Scholar 

  19. Koç M, Altan T (2001) An overall review of the tube hydroforming (THF) technology. J Mater Process Technol 108:384–393

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Mechanical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran

    M. Kadkhodayan & A. Erfani-Moghadam

Authors
  1. M. Kadkhodayan
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. A. Erfani-Moghadam
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to M. Kadkhodayan.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Kadkhodayan, M., Erfani-Moghadam, A. An investigation of the optimal load paths for the hydroforming of T-shaped tubes. Int J Adv Manuf Technol 61, 73–85 (2012). https://doi.org/10.1007/s00170-011-3700-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-011-3700-0

Keywords

Search

Navigation