Process Control and Materials Characterization within the Steel Industry

  • James R. Cook
  • Brian G. Frock
Part of the Sagamore Army Materials Research Conference Proceedings book series (PHAE, volume 26)


Within the steel industry, chemical, thermal and mechanical processing of materials are the means by which the final properties are developed within the material. Historically, these procedures often evolved as an art perfected by practice over an extended period of time. The processes can be complex, interactive, and extremely rapid and though the processing steps may not always be completely understood, the outcome is generally known and controllable within limits. The control problem is complicated by the unhappy circumstance that important processing parameters may not be measured and in some cases are unobservable.

The approach to many of these control problems may lie in the development of sensor systems which are able to comment more directly on the controlled parameters. Some can be approached by using multiple sensory information, mathematical algorithms, and inference. Other problems can benefit from the use of a reference process model, particularly if imbedded within the control system. Some control problems are best solved by modifying the process to something which is inherently more controllable.


Steel Industry Task Group Rolling Force Important Processing Parameter Pacific Northwest Laboratory 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    J. R. Cook, T. R. Dishun, and D. F. Ellerbrock. “A Systematic Study of the Factors Influencing Ingot-to-Strip Yield, Energy and Quality”. Iron & Steelmaker.Google Scholar
  2. 2.
    R. Whiteley. “Steel Industry Priorities for Process Control and Sensor Development”. AISI Research Task Force Report, Jan. 8, (1981).Google Scholar
  3. 3.
    AISI Task Group 3-4; C.D. Rogers Chairman. “Automatic Detec¬tion of Pipe and Gross Porosity in Hot Steel Billets, Blooms or Slabs”.Google Scholar
  4. 4.
    “Progress in Development of Ultrasonic Sensors for Monitoring Hot Steel Product”, M. Linzer, B. Droney, F. Mauer, S. Norton, C. Rogers, R. Rudolph, K. Sandstrom, J. Toth, & H. Wad- ley, private communication, to be published. Report on some aspects of NBS efforts for AISI Task Groups 3-4 (above), and 5-4, “Rapid Measurement of Temperature Distribution within a Solid or Solidifying Body of Hot Steel”. J.R. Cook, Chairman.Google Scholar
  5. 5.
    “Rapid Analysis of Steel using Laser-Based Techniques”, D. Cremers, F. Archuleta, & H. Dilworth, private communica¬tion, to be published; AISI Task Group; F. Achey Chairman.Google Scholar
  6. 6.
    AISI Task Group 4-2; D Huffman, Chairman. “Detection of Slag in Liquid Steel During Teeming”.Google Scholar
  7. 7.
    G. Bryant, J. Swab and T. Hynes. “Development of a Sheath for Sensor Protection in Molten Steel Applications”. U.S. Army Materials & Mechanics Research Centre; AMMRC–DOE Agreement #DE-AIOI-82-CE4()552.Google Scholar
  8. 8.
    “Mold Lubrication and Oscillation Monitoring for Optimizing Continuous Casting”, B. Mairy, D. Ramelot, M. Dutrieux, L. Deliege, M. Nourricier, private communication, to be published.Google Scholar
  9. 9.
    Thermophil STOR Datalogger, Ultrakust-Geratebau, GMBH & Co., Ruhmannsfelden, NDB.Google Scholar
  10. 10.
    AISI Task Group 4-5; W. Wilson, Chairman. “On-Line Inspec¬tion for Surface Defects on Hot and Cold Strip”.Google Scholar
  11. 11.
    Stereoscopic Width Gauge; European Electronics Systems Limited, Maldon, Essex, United Kingdom CM9 6SI/f. Drawing courtesy of H. Wadley, National Bureau of Standards.Google Scholar

Copyright information

© Plenum Press, New York 1986

Authors and Affiliations

  • James R. Cook
    • 1
  • Brian G. Frock
    • 1
  1. 1.ARMCO ResearchMiddletownUSA

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