Prediction and analysis of breakthrough extruding force based on a modified FE-model in large-scale extrusion process

  • Yilin Jiang
  • Rendong WuEmail author
  • Chaolong Yuan
  • Wenzhu Wang
  • Wei Jiao


P91 steel is considered an appropriate material for high-quality pipes used in nuclear plant. In the extrusion process on 680-million-newton-tonnage forging and extruding machine to manufacture long seamless P91 pipes with large diameter and wall-thickness, the extruding force peak during the process will exceed 500 million newtons. For security consideration, prediction of extruding force, especially breakthrough force, must be accurate to avoid accidents like jamming. A modified finite element model has been developed to predict the extruding force in large-scale glass lubricant hot extrusion of P91 pipes and declare the relationship between the friction ratio and container temperature. On the basis of the practical extrusion results obtained on 360-million-newton-tonnage extruding machine and characteristics of large-scale extrusion, the billet cooling period and new viscous friction model on billet–container interface are added or established as the modification on the most significant sensitive factors. Using the modified model, the average temperature error after cooling is 3.23 °C and the maximum decrease of simulation results of breakthrough extruding force on 360-MN machine is 17 MN. The predicted results correspond to the decreasing tendency of the measured ones. The deviation between the simulated breakthrough extruding force and measured one on 680-MN machine is only 0.3%, which validates the accuracy of force-predicting model. This study may offer the basis for precise prediction for complete large-scale extrusion process and provide guidance to reduce the breakthrough force in the extrusion process.


P91 steel Extruding force FE-model Temperature distribution Glass lubricant Viscous friction model 



The authors are grateful to Inner Mongolia North Heavy Industry Group Corp. Ltd and Qinghai Kangtai Casting and Forging Machinery Corp. Ltd, for providing the production data and experimental equipment. And the authors are very grateful to all the reviewers and editors of the present paper, who gave very constructive comments and kind help.

Authors’ contributions

YLJ, RDW, CLY, WZW, and WJ were involved in designing experiments, carrying out experiments, developing the simulation model, and analyzing the results. RDW designed and modified the manuscript. All authors read and approved the final manuscript.

Compliance with ethical standards

Competing interests

The authors declare that they have no competing interests.


  1. 1.
    Li S, Ren S, Zhang Y, Deng D, Murakawa H (2017) Numerical investigation of formation mechanism of welding residual stress in P92 steel multi-pass joints. J Mater Process Technol 244:240–252CrossRefGoogle Scholar
  2. 2.
    Vaillant JC, Vandenberghe B, Hahn B, Heuser H, Jochum C (2008) T/P23, 24, 911 and 92: New grades for advanced coal-fired power plants—properties and experience. Int J Press Vessel Pip 85(1-2):38–46CrossRefGoogle Scholar
  3. 3.
    Dunđer M, Vuherer T, Samardžić I (2019) Analysis of heat-affected zone microstructures of steel P92 after welding and after post-weld heat treatment. Int J Adv Manuf Technol 102(1–12):3801–3812Google Scholar
  4. 4.
    Dang L, Yang H, Guo LG, Zeng W, Zhang J (2014) Study on exit temperature evolution during extrusion for large-scale thick-walled Inconel 625 pipe by FE simulation. Int J Adv Manuf Technol 76(5-8):1421–1435CrossRefGoogle Scholar
  5. 5.
    Fang XD, Li Y, Han PD (2015) Influence of hot extrusion process parameters on the peak extrusion force of TG700C alloy tube. Steel Rolling and Journal of Plasticity Engineering 32(4):27–29Google Scholar
  6. 6.
    Hsiang SH, Kuo JL (2005) Applying ANN to predict the forming load and mechanical property of magnesium alloy under hot extrusion. Int J Adv Manuf Technol 26(917):970–977CrossRefGoogle Scholar
  7. 7.
    Huang CB (2015) The research on extrusion process of large diameter steel pipe of ferrous metals, Master Thesis of Tsinghua University, Beijing, ChinaGoogle Scholar
  8. 8.
    Hansson S, Fisk M (2010) Simulations and measurements of combined induction heating and extrusion processes. Finite Elem Anal Des 46(10):905–915CrossRefGoogle Scholar
  9. 9.
    Hansson S, Jansson T (2010) Sensitivity analysis of a finite element model for the simulation of stainless steel tube extrusion. J Mater Process Technol 210(10):1386–1396CrossRefGoogle Scholar
  10. 10.
    Damodaran D, Shivpuri R (2004) Prediction and control of part distortion during the hot extrusion of titanium alloys. J Mater Process Technol 150(1-2):70–75CrossRefGoogle Scholar
  11. 11.
    Damodaran D, Shivpuri R (1997) Effect of glass lubricant behavior on the surface quality of extrudates in glass-lubricated hot extrusion. CIRP Ann Manuf Technol 46(1):179–182CrossRefGoogle Scholar
  12. 12.
    Liu CY, Zhang RJ, Yan YN, Lin F, Zhang L (2011) Lubrication behavior of the glass lubricated hot extrusion process. J Mech Eng 47(20):127–134CrossRefGoogle Scholar
  13. 13.
    Brabie LC, Mori KI, Wang T, Kawakami M (2000) Heat transfer analysis in heating of steel cylinder in a graphite vessel. ISIJ Int 40(Suppl):S115–S119CrossRefGoogle Scholar
  14. 14.
    Wu RD, Wang XF, Zhang L (2009) Boundary parameters during glass lubricated hot extrusion of steel pipes. Journal of Plasticity Engineering 16(4):95–99Google Scholar
  15. 15.
    Liu CY, Zhang RJ, Yan YN, Lin F, Zhang L (2011) Investigation on heat transfer coefficient of glass lubricated interface between P92 heat resistant steel and H13 steel. Journal of Plasticity Engineering 18(5):24–28Google Scholar

Copyright information

© Springer-Verlag London Ltd., part of Springer Nature 2019

Authors and Affiliations

  • Yilin Jiang
    • 1
  • Rendong Wu
    • 1
    Email author
  • Chaolong Yuan
    • 1
  • Wenzhu Wang
    • 1
  • Wei Jiao
    • 1
  1. 1.Key Laboratory for Advanced Material Processing Technology, Ministry of Education, Department of Mechanical EngineeringTsinghua UniversityBeijingPeople’s Republic of China

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