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Volumn 18, Issue 3, 2003, Pages 401-408

Process control and optimization of the AOD process using genetic algorithm

Author keywords

[No Author keywords available]

Indexed keywords

DECARBURIZATION; GENETIC ALGORITHMS; PROCESS CONTROL; RATE CONSTANTS; STAINLESS STEEL;

EID: 0042154407     PISSN: 10426914     EISSN: None     Source Type: Journal    
DOI: 10.1081/AMP-120022018     Document Type: Article
Times cited : (9)

References (18)
  • 1
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    • Semin, A.E.1
  • 2
    • 0041300260 scopus 로고
    • Stainless steel making
    • Chapter 13. Taylor, C.R., Ed.; The Iron and Steel Society of AIME: USA
    • Hilty, D.C. Stainless steel making (Chapter 13). In Electric Furnace Steelmaking; Taylor, C.R., Ed.; The Iron and Steel Society of AIME: USA, 1985; 143-157.
    • (1985) Electric Furnace Steelmaking , pp. 143-157
    • Hilty, D.C.1
  • 4
    • 0016891264 scopus 로고
    • Reaction model for the AOD process
    • Fruehan, R.J. Reaction model for the AOD process. Ironmaking and Steelmaking 1977, 4, 153-158.
    • (1977) Ironmaking and Steelmaking , vol.4 , pp. 153-158
    • Fruehan, R.J.1
  • 5
    • 0018060366 scopus 로고
    • Mathematical model for stainless steelmaking parts 1 and 2
    • Deb Roy, T.; Robertson, D.G.C. Mathematical model for stainless Steelmaking Parts 1 and 2. Ironmaking and Steelmaking 1978, 5, 198-205, 207-210.
    • (1978) Ironmaking and Steelmaking , vol.5 , pp. 198-205
    • Deb Roy, T.1    Robertson, D.G.C.2
  • 6
    • 0017417154 scopus 로고
    • AOD process and its eighty-six months of growth
    • Hodge, A.L. AOD process and its eighty-six months of growth. Ironmaking and Steelmaking 1977, 4, 81-87.
    • (1977) Ironmaking and Steelmaking , vol.4 , pp. 81-87
    • Hodge, A.L.1
  • 8
    • 0038427148 scopus 로고
    • Making stainless steel in the argon-oxygen reactor at Joslyn
    • Saccomano, J.M.; Choulet, R.J.; Ellis, J.D. Making stainless steel in the argon-oxygen reactor at Joslyn. J. Metals 1969, 21, 59-64.
    • (1969) J. Metals , vol.21 , pp. 59-64
    • Saccomano, J.M.1    Choulet, R.J.2    Ellis, J.D.3
  • 9
    • 0041800823 scopus 로고
    • Effect of oxygen input rates in the decarburization of chromium steel
    • Healy, G.W.; Hilty, D.C. Effect of oxygen input rates in the decarburization of chromium steel. J. Metals 1957, 9, 695-707.
    • (1957) J. Metals , vol.9 , pp. 695-707
    • Healy, G.W.1    Hilty, D.C.2
  • 11
    • 17444453741 scopus 로고    scopus 로고
    • 2 mixtures on heat transfer and fluid flow characteristics in AOD nozzles
    • 2 mixtures on heat transfer and fluid flow characteristics in AOD nozzles. Steel Research 2000, 71, 429-434.
    • (2000) Steel Research , vol.71 , pp. 429-434
    • Tilliander, A.1    Jönson, P.2    Jönson, L.3
  • 15
    • 0028545948 scopus 로고
    • Genetic adaptive search model of hot metal desulphurization
    • Rastogi, R.; Deb, K.; Deo, B.; Boom, R. Genetic adaptive search model of hot metal desulphurization. Steel Research 1994, 65, 412-478.
    • (1994) Steel Research , vol.65 , pp. 412-478
    • Rastogi, R.1    Deb, K.2    Deo, B.3    Boom, R.4
  • 16
    • 0031672695 scopus 로고    scopus 로고
    • Optimal operating conditions of the primary end of and integrated steel plant: Genetic adaptive search versus classical techniques
    • Deo, B.; Deb, K.; Jha, S.; Sudhakar, V.; Sridhar, N.V. Optimal operating conditions of the primary end of and integrated steel plant: genetic adaptive search versus classical techniques. Iron and Steel Inst. Jpn. Int. 1998, 38, 98-105.
    • (1998) Iron and Steel Inst. Jpn. Int. , vol.38 , pp. 98-105
    • Deo, B.1    Deb, K.2    Jha, S.3    Sudhakar, V.4    Sridhar, N.V.5
  • 17
    • 0042301910 scopus 로고    scopus 로고
    • Prediction of silicon content of hot metal using fuzzy-GA regression
    • July 13-17; AAAI: Orlando
    • Sheel, P.; Deo, B. Prediction of silicon content of hot metal using fuzzy-GA regression. In Genetic Evolutionary Computation Conference (GECCO), July 13-17; AAAI: Orlando, 1999; pp. 1685-1690.
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  • 18
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    • Optimization of back propagation algorithm and genetic adaptive search assisted ANN models
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.