Advertisement

Recognition of Fault Signature Patterns Using Fuzzy Logic for Prevention of Breakdowns in Steel Continuous Casting Process

  • Arya K. Bhattacharya
  • P. S. Srinivas
  • K. Chithra
  • S. V. Jatla
  • Jadav Das
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3776)

Abstract

In the continuous casting process of steel, a thin solid shell gradually forms around the cooling copper mould inner perimeter as liquid steel flows through it. By the time steel emerges from mould bottom, the perimetric solid shell acquires sufficient thickness and strength to support ferrostatic pressure of liquid steel in its interior. However, the formative shell can tear, stick to mold wall or fail to thicken adequately – in all cases leading to massive leakage of liquid steel out of mold bottom and consequent breakdown of continuous casting. All such phenomena leading to process disruption are preceded by typical patterns in temperature history data recorded at arrays of thermocouples embedded in mould walls. A fuzzy system is developed to accurately recognize these patterns in real time and regulate the speed of casting to prevent breakdowns. The system designed and implemented is fail-safe, has a low false-alarm ratio, and provides online diagnostics of the continuous casting process.

Keywords

Continuous Casting Liquid Steel Casting Speed Mold Wall Slab Caster 
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.

References

  1. 1.
    Madill, J.D.: Application of Mold Thermal Monitoring to Avesta Sheffield SMACC Slab Caster. Ironmaking and Steelmaking 23(3), 223–234 (1996)Google Scholar
  2. 2.
    Lu, M.J., Lin, K.J.: Sticker Breakout Theory and its Prediction in Slab Continuous Casting. In: 1993 Steelmaking Conference Proceedings, pp. 343–352 (1993)Google Scholar
  3. 3.
    Richard, T., Grass, G.W.: Reduction of Breakouts at Ispat Inland Inc. In: Steelmaking Conference Proceedings, pp. 41–52 (2001)Google Scholar
  4. 4.
    Srinivas, P.S., Chithra, K., Jatla, S., Bhattacharya, A.K.: Global Design for mould breakout detection system for slab casters, Tata Steel Internal Report No. AUT/PRJ/01019/GDD (July 2004)Google Scholar
  5. 5.
    Mahashabde, V.V., Bhaduri, R., Das, S., Kukreja, B.K., Agarwal, A.K.: Breakout Detection System at Tata Steel’s slab caster using Neural Network., Tata Search, pp. 91–94 (1999)Google Scholar
  6. 6.
    Srinivas, P.S., Chithra, K., Jatla, S., Bhattacharya, A.K.: Field Testing Strategy for Mould Breakout Detection System, Tata Steel Internal Report No. AUT/PRJ/01019/FTS (September 2003)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Arya K. Bhattacharya
    • 1
  • P. S. Srinivas
    • 1
  • K. Chithra
    • 1
  • S. V. Jatla
    • 1
  • Jadav Das
    • 1
  1. 1.Automation DivisionTata SteelJamshedpurIndia

Personalised recommendations