Evaluating interactions between the heavy forging process and the assisting manipulator combining FEM simulation and kinematics analysis

Original Article


In heavy forging, a manipulator is indispensable to assist and help the precision of the forming process. This paper presents a multi-system simulation methodology combining the forging finite element method (FEM) simulation and the kinematics analysis to evaluate the mutual reaction loads between the forging process and the assisting manipulator. The forging is realized by the thermal–mechanical FEM simulation and the kinematics movements are analyzed based on the statics and dynamics modeling of the manipulator. The reaction load generating from the forging process to the manipulator clamps is treated as an input parameter for the kinematics analysis system, which will then calculate the movement of the manipulator. And this movement is regarded as the passive compliant movement constraint and applied on the forging process through the manipulator clamps. Using this coupled system, the study compares the reaction loads with and without the active vertical compliant movement and/or the passive horizontal compliant movement and reveals the effect of these compliant movements on the reaction loads.


Forging Kinematics Multi-system simulation Manipulator 


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  1. 1.
    Lv C, Zhang LW, Mu ZJ, Tai QG, Zheng QY (2008) 3D FEM simulation of the multi-stage forging process of a gas turbine compressor blade. J Mater Process Tech 198:463–470CrossRefGoogle Scholar
  2. 2.
    Wilson WRD, Schmid SR, Liu JY (2004) Advanced simulations for hot forging: heat transfer model for use with the finite element method. J Mater Process Tech 155–156:1912–1917CrossRefGoogle Scholar
  3. 3.
    Kong TF, Chan LC, Lee TC (2004) Prediction of a billet shape for axisymmetric warm forming using variational analysis. Key Eng Mat 274–276:733–738CrossRefGoogle Scholar
  4. 4.
    Kong TF, Chan LC, Lee TC (2005) Numerical determination of blank shapes for warm forming of non-axisymmetric components. J Mater Process Tech 167:472–479CrossRefGoogle Scholar
  5. 5.
    Kong TF, Chan LC, Lee TC (2008) Numerical and experimental investigation of preform design in non-axisymmetric warm forming. Int J Adv Manuf Technol 37:908–919CrossRefGoogle Scholar
  6. 6.
    Ou H, Armstrong CG (2006) Evaluating the effect of press and die elasticity in forging of aerofoil sections using finite element simulation. Finite Elem Anal Des 42:856–867CrossRefGoogle Scholar
  7. 7.
    Hino R, Sasaki A, Yoshida F, Toropov VV (2008) A new algorithm for reduction of number of press-forming stages in forging process using numerical optimization and FE simulation. Int J of Mech Sci 50(5):1089–1104Google Scholar
  8. 8.
    Ma Q, Lin ZQ, Yu ZQ (2009) Prediction of deformation behavior and microstructure evolution in heavy forging by FEM. Int J Adv Manuf Technol 40:253–260CrossRefGoogle Scholar
  9. 9.
    Lee MC, Chung SH, Joun MS (2009) Automatic and precise simulation of multistage automatic cold-forging processes by combined analyses of two- and three-dimensional approaches. Int J Adv Manuf Technol 41:1–7CrossRefGoogle Scholar
  10. 10.
    Hartley P, Pillinger I (2006) Numerical simulation of the forging process. Comput Methods Appl Mech Engrg 195:6676–6690MATHCrossRefGoogle Scholar
  11. 11.
    Bhattacharya S, Hatwal H, Ghosh A (1997) An on-line parameter estimation scheme for generalized stewart platform type parallel manipulators. Mech & Mach Theor 32(1):79–89MATHCrossRefGoogle Scholar
  12. 12.
    Lu Y, Hu B (2007) Analyzing kinematics and solving active/constrained forces of a 3SPU+UPR parallel manipulator. Mech & Mach Theor 42:1298–1313MATHCrossRefGoogle Scholar
  13. 13.
    Shi ZX, Fung HK, Li YC (1999) Dynamic modeling of a rigid-flexible manipulator for constrained motion task control. App Math Model 23:509–525MATHCrossRefGoogle Scholar
  14. 14.
    Wang SC, Hikita H, Kubo H, Zhao YS, Huang Z, Ifukube T (2003) Kinematics and dynamics of a 6 degree-of-freedom fully parallel manipulator with elastic joints. Mech & Mach Theor 38:439–461MATHCrossRefGoogle Scholar
  15. 15.
    Parikh PJ, Lam SS (2009) Solving the forward kinematics problem in parallel manipulators using an iterative artificial neural network strategy. Int J Adv Manuf Technol 40:595–606CrossRefGoogle Scholar
  16. 16.
    Lilly KW, Melligeri AS (1996) Dynamic simulation and neural network compliance control of an intelligent forging center. J Intell Rob Syst Theor Appl 17:81–99CrossRefGoogle Scholar
  17. 17.
    Liu WS, Nye TJ (2004) Adaptive control for intelligent open die forging. ASME International Mechanical Engineering Congress and Exposition, IMECE 2004, Anaheim, CA, USA, 759–766Google Scholar

Copyright information

© Springer-Verlag London Limited 2009

Authors and Affiliations

  • Wu-rong Wang
    • 1
  • Kai Zhao
    • 1
  • Zhong-qin Lin
    • 1
    • 2
  • Hao Wang
    • 1
  1. 1.School of Mechanical EngineeringShanghai JiaoTong UniversityShanghaiChina
  2. 2.State Key Laboratory of Mechanical System and VibrationShanghai JiaoTong UniversityShanghaiChina

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