DOI QR코드

DOI QR Code

열연 마무리 압연기에서 압연속도 학습보상기능개선을 위한 신경망형 공정 모델

A Neural Net Type Process Model for Enhancing Learning Compensation Function in Hot Strip Finishing Rolling Mill

  • 홍성철 (영남대학교 전기공학과) ;
  • 이해영 (영남대학교 전기공학과)
  • 투고 : 2013.03.02
  • 심사 : 2013.04.14
  • 발행 : 2013.06.30

초록

This paper presents a neural net type process model for enhancing learning compensation function in hot strip finishing rolling mill. Adequate input and output variables of process model are chosen, the proposed model was designed as single layer neural net. Equivalent carbon content, strip thickness and rolling speed are suggested as input variables, and looper's manipulation variable is proposed as output variable. According to simulation result using process data to show the validity of the proposed process model, neural net type process model's outputs give almost similar data to process output under same input conditions.

키워드

참고문헌

  1. Morio Saitoh et al., "Development of high-accuracy control system for hot strip mill", NKK Technical review, No.61 (1991), pp. 10-17.
  2. Minoru Tanaka et al., "Decoupled automatic gauge control for universal rolling mills", NIPPON STEEL Technical report, No.27, Oct., 1985, pp. 51-62.
  3. B. Hum, H. W. Colquboun, J. G. Lenard, "Measurements of friction during hot rolling of aluminum strips", Journal of Materials Processing Technology 60 (1996) 331-338. https://doi.org/10.1016/0924-0136(96)02350-3
  4. J. G. Lenard, "The effect of temperature on the coefficient of friction in flat rolling", Annals of the CIRP, Vol. 40/1/1991, pp.223-226. https://doi.org/10.1016/S0007-8506(07)61973-8
  5. Campbell McConnell, J. G. Lenard, "Friction on cold rolling of a low carbon steel with lubricants", Journal of Materials Processing Technology 99 (2000) 86-93. https://doi.org/10.1016/S0924-0136(99)00391-X
  6. Per A. Munther and John G. Lenard, "A study of friction during hot rolling of steels", Journal of Metallurgy 1997, 26, 231-240.
  7. Koncewicz, S., "Investigation on the forward slip and neutral angle in flat rolling", Archives of Metallurgy, Vol.36., pp.115-130, 1991.
  8. George F. Kelk et al., "New developments improve hot strip shape: Shapemeter-Looper and shape actimeter", Iron and steel engineer, Aug. 1988. pp.48-56.
  9. H.J.Zimmermann, "Fuzzy Set theory - and Its Applications", Kluwer-Nijihoff publishing, 1985.
  10. C. J. Harris, C. G. Moore, and M. Brown, "Intelligent control- Aspects of fuzzy logic and neural nets", World Scientific, 1993.