Research Papers

Research on Constant Velocity Extruding Process Control for 36,000-Ton Vertical Extrusion Press

[+] Author and Article Information
Wanzhou Li

e-mail: lwz@tsinghua.edu.cn

Tao Sun

e-mail: t-sun10@mails.tsinghua.edu.cn

Yuechen Hu

e-mail: huyc08@mails.tsinghua.edu.cn

Wei Li

e-mail: liwei86621@163.com
Department of Automation,
Tsinghua University,
Beijing 100084, China

Contributed by the Dynamic Systems Division of ASME for publication in the Journal of Dynamic Systems, Measurement, and Control. Manuscript received July 8, 2012; final manuscript received February 21, 2013; published online May 17, 2013. Assoc. Editor: Won-jong Kim.

J. Dyn. Sys., Meas., Control 135(4), 041009 (May 17, 2013) (13 pages) Paper No: DS-12-1212; doi: 10.1115/1.4023895 History: Received July 08, 2012; Revised February 21, 2013

Metal extrusion is one of the most significant methods in the field of plastic deformation. The 36,000-ton vertical extrusion press uses one-piece hot extrusion molding method to produce high-pressure, large-diameter, thick-walled, seamless, alloy-steel pipe, which is required by ultrasupercritical power generator units and the third generation of nuclear power plants. The main table (extruding platform) is driven by 36,000-ton thrust. The extrusion process is a typical nonlinear multivariable strong-coupling finite-time system. In this paper, we analyze and solve the large-scaled engineering control problems, including (1) discussion of the mechanical structure of the controlled object and the feature of multivariable strongly coupling for large-scaled parallel-driving hydraulic system, (2) research on the engineering practical simplified control algorithm for multivariable system and propose a way to solve the coupling problem of the hydraulic system, and (3) design of double closed-loop control of velocity and pressure for the new technology of constant velocity extrusion. In our paper, we have proven through practice that the traditional proportional intergral (PI) controlling method, with proper controlling strategy, is still the most efficient and practicable way for a large-dimension complex object in industry.

Copyright © 2013 by ASME
Your Session has timed out. Please sign back in to continue.


Yoshimura, H., and Tanaka, K., 2000, “Precision Forging of Aluminum and Steel,” J. Mater. Process. Technol., 98, pp. 196–204. [CrossRef]
Song, Y. Q., Wang, M. H., and Guan, X. F., 2009, “Development of Self-Adjusting Hydraulic Machine for Combination Forming of Upsetting and Extruding,” Sci. China, Ser. E: Technol. Sci., 52, pp. 2785–2790. [CrossRef]
Vickery, J., and Monaghan, J., 1994, “An Investigation of the Early Stages of a Forging/Extrusion Process,” J. Mater. Process. Technol., 43, pp. 37–50. [CrossRef]
Williams, A. J., Croft, T. N., and Cross, M., 2002, “Computational Modelling of Metal Extrusion and Forging Processes,” J. Mater. Process. Technol., 125–126, pp. 573–582. [CrossRef]
Tomov, B. I., Gagov, V. I., and Radev, R. H., 2004, “Numerical Simulations of Hot Die Forging Processes Using Finite Element Method,” J. Mater. Process. Technol., 153–154, pp. 352–358. [CrossRef]
Hansson, S., and Jansson, T., 2010, “Sensitivity Analysis of a Finite Element Model for the Simulation of Stainless Steel Tube Extrusion,” J. Mater. Process. Technol., 210, pp. 1386–1396. [CrossRef]
Chin, S. M., Lee, C. O., and Chang, P. H., 1994, “An Experimental Study on the Position Control of an Electrohydraulic Servo System Using Time Delay Control,” Control Eng. Pract., 2, pp. 41–48. [CrossRef]
Alleyne, A., and Liu, R., 2000, “A Simplified Approach to Force Control for Electro-Hydraulic Systems,” Control Eng. Pract., 8, pp. 1347–1356. [CrossRef]
Bonchis, A., Corke, P. I., Rye, D. C., and Ha, Q. P., 2001, “Variable Structure Methods in Hydraulic Servo Systems Control,” Automatica, 37, pp. 589–595. [CrossRef]
Lee, Y. H., and Kopp, R., 2001, “Application of Fuzzy Control for a Hydraulic Forging Machine,” Fuzzy Sets Syst., 118, pp. 99–108. [CrossRef]
Zheng, J. M., Zhao, S. D., and Wei, S. G., 2009, “Application of Self-Tuning Fuzzy PID Controller for a SRM Direct Drive Volume Control Hydraulic Press,” Control Eng. Pract., 17, pp. 1398–1404. [CrossRef]
Liu, T., 2002, “Research on the Control System for 50,000KN Hydraulic Press for Side Rails of Automotive Frame,” M.S. thesis, Zhejiang University, Hangzhou City, Zhejiang Province, China.
Huang, C., 2007, “Research on Dynamic Response Characteristic and Speed Control of Moving Beam Drive System for 300MN Die Forging Hydraulic Press,” Ph.D. dissertation, Central South University, Changsha City, Hunan Province, China.
Yao, J., 2009, “Research on Key Technology of Hydraulic Control System in Forging Oil Press,” Ph.D. dissertation, Yanshan University, Qinhuangdao City, Hebei Province, China.
Olfati-Saber, R., Fax, J. A., and Murray, R. M., 2007, “Consensus and Cooperation in Networked Multi-Agent Systems,” Proc. IEEE, 95(1), pp. 215–233. [CrossRef]
Wei, R., and Beard, R. W., 2005, “Consensus Seeking in Multiagent Systems Under Dynamically Changing Interaction Topologies,” IEEE Trans. Autom Control, 50(5), pp. 655–661. [CrossRef]
Xie, G., and Wang, L., 2007, “Consensus Control for a Class of Networks of Dynamic Agents,” Int. J. Robust Nonlinear Control, 17(10–11), pp. 941–959. [CrossRef]
Brezina, T., Hadas, Z., and Vetiska, J., 2011, “Using of Co-Simulation ADAMS-SIMULINK for Development of Mechatronic Systems,” MECHATRONIKA, 2011 14th International Symposium, Trencianske Teplice, Slovakia, IEEE, pp. 59–64. [CrossRef]


Grahic Jump Location
Fig. 1

The 360-MN vertical extrusion press and the large-diameter thick-walled seamless tubes

Grahic Jump Location
Fig. 2

The 360-MN extrusion press

Grahic Jump Location
Fig. 3

The main cylinders and the extruding ram

Grahic Jump Location
Fig. 4

The main table force diagram

Grahic Jump Location
Fig. 5

The main pump groups

Grahic Jump Location
Fig. 6

The hydraulic control system

Grahic Jump Location
Fig. 7

Velocity control in the extrusion process

Grahic Jump Location
Fig. 8

The little deflection, almost straight-extruded tubes, and the grinded tubes

Grahic Jump Location
Fig. 9

Pressure control in the upsetting process

Grahic Jump Location
Fig. 10

The effect of the upsetting control

Grahic Jump Location
Fig. 11

Pressure control in the upsetting process

Grahic Jump Location
Fig. 12

The balance error when kr = 0.98

Grahic Jump Location
Fig. 13

The balance error when kr = 0.95

Grahic Jump Location
Fig. 14

Extruded tubes with and without velocity control

Grahic Jump Location
Fig. 15

Furnace No. 013527 extruded tubes (the lower five ones)

Grahic Jump Location
Fig. 16

360-MN topological structure under consensus control

Grahic Jump Location
Fig. 17

The Cosimulation of ADAMS and EASY5

Grahic Jump Location
Fig. 18

Two eccentric resistance loads in ADAMS



Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In