Advertisement

Optimization of hot stamping cooling system using segmented model

  • Jieshi Chen
  • Pihao Gong
  • Yishun Liu
  • Xingyue Zheng
  • Feng Ren
ORIGINAL ARTICLE

Abstract

The quenching operation during the hot stamping process is critical to the final properties of formed parts. Current design for die-cooling system uses gun-drilled straight channels and the optimization of design parameters is based on the results of a large number of finite element simulations. The simulation process will be time consuming if the entire model is used. In this paper, to reduce time cost of the FE simulation, segmented FE models were developed to optimize the geometries of the cooling system and response surface method was used. A typical U-shape component was used in the optimization process. To verify the optimization results with segmented models, simulations with the entire model were carried out. The results show that very good agreement was achieved and the computational time saves up to 92.6% compared with the entire model of the U-shape component.

Keywords

Hot stamping Cooling efficiency Optimization Segmented model Computational efficiency 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Turetta A, Bruschi S, Ghiotti A (2006) Investigation of 22MnB5 formability in hot stamping operations. J Mater Process Technol 177:396–400CrossRefGoogle Scholar
  2. 2.
    Karbasian H, Tekkaya AE (2010) A review on hot stamping. J Mater Process Technol 210(15):2103–2118CrossRefGoogle Scholar
  3. 3.
    Steinbeiss H, So H, Michelitsch T, Hoffmann H (2007) Method for optimizing the cooling design of hot stamping tools. Prod Eng Res Devel 1:149–155CrossRefGoogle Scholar
  4. 4.
    Xu Y, Shan ZD (2014) Design parameter investigation of cooling systems for UHSS hot stamping dies. Int J Adv Manuf Technol 70:257–262CrossRefGoogle Scholar
  5. 5.
    Ming DH, Bao YW, Jing Z (2015) Hot stamping parameters optimization of boron steel using a response surface methodology based on central composite design. J Iron Steel Res Int 22(6):519–526CrossRefGoogle Scholar
  6. 6.
    Yu GW, Qi HS, Guo HL, Yu JC (2012) Cooling system CAE analysis and optimization design of hot stamping for high strength steel sheet. Appl Mech Mater 152-154:531–535CrossRefGoogle Scholar
  7. 7.
    Jansson T, Nilsson L, Redhe M (2003) Using surrogate models and response surfaces in structural optimization—with application to crashworthiness design and sheet metal forming. Struct Multidisc Optim 25:129–140CrossRefGoogle Scholar
  8. 8.
    Lu B, Ou H, Long H (2011) Die shape optimisation for net-shape accuracy in metal forming using direct search and localised response surface methods. Struct Multidisc Optim 44:529–545MathSciNetCrossRefMATHGoogle Scholar
  9. 9.
    Avalle M, Chiandussi G, Belingardi G (2002) Design optimization by response surface methodology: application to crashworthiness design of vehicle structures. Struct Multidisc Optim 24:325–332CrossRefGoogle Scholar
  10. 10.
    Xing ZW, Bao J, Yang YY (2009) Numerical simulation of hot stamping of quenchable boron steel. Mater Sci Eng A 499:28–31CrossRefGoogle Scholar
  11. 11.
    Åkerström P, Bergman G, Oldenburg M (2007) Numerical implementation of a constitutive model for simulation of hot stamping. Model Simul Mater Sci Eng 15:105–119CrossRefGoogle Scholar
  12. 12.
    Hoffmann H, So H, Steinbeiss H (2007) Design of hot stamping tools with cooling system. CIRP Ann-Manuf Technol 56(1):269–272CrossRefGoogle Scholar
  13. 13.
    Merklein M, Lechler J (2006) Investigation of the thermo-mechanical properties of hot stamping steels. J Mater Process Technol 177:452–455CrossRefGoogle Scholar
  14. 14.
    Li FF, Fu MW, Lin JP, Wang XN (2014) Experimental and theoretical study on the hot forming limit of 22MnB5 steel. Int J Adv Manuf Technol 71:297–306CrossRefGoogle Scholar
  15. 15.
    Kang J, Omer EF, Hao XG, Li LW (2015) Determination of heat transfer coefficient for hot stamping process. In: Joint 3rd UK-China Steel Research Forum & 15th CMA-UK Conference on Materials Science and Engineering. pp 434–439Google Scholar

Copyright information

© Springer-Verlag London 2017

Authors and Affiliations

  • Jieshi Chen
    • 1
  • Pihao Gong
    • 1
  • Yishun Liu
    • 1
  • Xingyue Zheng
    • 1
  • Feng Ren
    • 2
  1. 1.Institute of Forming Technology & Equipment, School of Materials Science & EngineeringShanghai Jiao Tong UniversityShanghaiChina
  2. 2.Research & Advanced EngineeringFord Motor CompanyDearbornUSA

Personalised recommendations