高炉水砕スラグの粒度および密度に及ぼす製造条件の影響
The water granulation conditions for producing high density, coarse granulated blast furnace slag were investigated in a laboratory-scale experiment. The influence of the slag temperature, water temperature and nozzle shape on the density and grain size of the granulated slag was clarified. The infl...
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| Published in | 鉄と鋼 Vol. 100; no. 6; pp. 799 - 808 |
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| Main Authors | , , , , , |
| Format | Journal Article |
| Language | Japanese |
| Published |
一般社団法人 日本鉄鋼協会
2014
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0021-1575 1883-2954 |
| DOI | 10.2355/tetsutohagane.100.799 |
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| Abstract | The water granulation conditions for producing high density, coarse granulated blast furnace slag were investigated in a laboratory-scale experiment. The influence of the slag temperature, water temperature and nozzle shape on the density and grain size of the granulated slag was clarified. The influence of these factors on the density and grain size of the slag was confirmed by using various nozzles in the slag water granulation system. Neural network computation was applied to estimation of the density and grain size of granulated blast furnace slag. The influence of the water granulation conditions on the density and grain size predicted by neural network computation corresponded closely to the results of the laboratory-scale experiment. Based on the results of this research, we proposed a new slag granulation system and manufactured a high density, coarse blast furnace slag fine aggregate. |
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| AbstractList | The water granulation conditions for producing high density, coarse granulated blast furnace slag were investigated in a laboratory-scale experiment. The influence of the slag temperature, water temperature and nozzle shape on the density and grain size of the granulated slag was clarified. The influence of these factors on the density and grain size of the slag was confirmed by using various nozzles in the slag water granulation system. Neural network computation was applied to estimation of the density and grain size of granulated blast furnace slag. The influence of the water granulation conditions on the density and grain size predicted by neural network computation corresponded closely to the results of the laboratory-scale experiment. Based on the results of this research, we proposed a new slag granulation system and manufactured a high density, coarse blast furnace slag fine aggregate. |
| Author | 渡辺, 圭児 後藤, 滋明 後藤, 弘樹 當房, 博幸 桑山, 道弘 田中, 敏宏 |
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| Copyright | 2014 一般社団法人 日本鉄鋼協会 |
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| References | 16) T. Koshida, T. Ogasawara and H. Kishidaka: Tetsu-to-Hagané, 67(1981), 1491. 19) M. Imai, H. Ooi and T. Emi: Tetsu-to-Hagané, 48(1962), 111. 9) M. Hanao, M. Kawamoto, T. Tanaka and M. Nakamoto: ISIJ Int., 46(2006),346. 17) M. Sakaeda, H. Ide, K. Morinaga and T. Yanagase: Tetsu-to-Hagané, (1980), S115. 2) D. Shi, Y. Masuda and Y. Lee: AIJ J. Technol, 17(2011), 787. 8) K. Sano and H. Sato: Tetsu-to-Hagané, (1982), S747. 6) A. Ehrenberg: ZKG Int., 66(2013), 64. 10) M. Nakamoto, M. Hanao, T. Tanaka, M. Kawamoto, L. Holappa and M. Hamalainen: ISIJ Int., 47(2007), 1075. 14) Y. Hiraga, Y. Murakami, T. Ushiro, Y. Nakajima, Y. Yashima and K. Takahashi: Nishin Steel Tech. Rep., Mar.(1993), 20. 15) S. Sekino, M. Masao and T. Nishida: Tetsu-to-Hagané, 67(1981), 541. 13) H. Lubanska: Journal of Metals, 22(1970), 45. 7) T. Fuwa, S. Banya, Y. Iguchi and F. Ishi: Tetsu-to-Hagané, 72(1983), 371. 20) T. Tanaka: Electric Furnace Steel, 78(2007), 29. 1) K. Kokubu and Y. Shimoyma: Cement-Concrete, 714(2006), 27. 3) 高炉スラグ細骨材を使用するコンクリートの調合設計・施工指針・同解説第2版，日本建築学会編，東京，(2013), 13. 12) M. Kimura, M. Saino, E. Akimoto, J. Furuya, Y. Ikeda and T. Harada: Kawasaki Steel Giho, 18(1986), 230. 11) B. Derin, M. Suzuki and T. Tanaka: ISIJ Int., 50(2010), 1059. 5) I. Monna, A. Okamoto, S. Suzuki, Y. Nagao, H. Tokumaru and S. Myozin: Tetsu-to-Hagané, 68(1982), 81. 18) S. Banya, Y. Iguchi and S. Nagata: Tetsu-to-Hagané, 71(1985), 55. 4) Y. Shimada, M. Hattori, K. Kajiya and K. Kokubu: Cement Science and Concrete Tecnology, 53(1999), 501. |
| References_xml | – reference: 15) S. Sekino, M. Masao and T. Nishida: Tetsu-to-Hagané, 67(1981), 541. – reference: 5) I. Monna, A. Okamoto, S. Suzuki, Y. Nagao, H. Tokumaru and S. Myozin: Tetsu-to-Hagané, 68(1982), 81. – reference: 13) H. Lubanska: Journal of Metals, 22(1970), 45. – reference: 14) Y. Hiraga, Y. Murakami, T. Ushiro, Y. Nakajima, Y. Yashima and K. Takahashi: Nishin Steel Tech. Rep., Mar.(1993), 20. – reference: 17) M. Sakaeda, H. Ide, K. Morinaga and T. Yanagase: Tetsu-to-Hagané, (1980), S115. – reference: 6) A. Ehrenberg: ZKG Int., 66(2013), 64. – reference: 9) M. Hanao, M. Kawamoto, T. Tanaka and M. Nakamoto: ISIJ Int., 46(2006),346. – reference: 3) 高炉スラグ細骨材を使用するコンクリートの調合設計・施工指針・同解説第2版，日本建築学会編，東京，(2013), 13. – reference: 12) M. Kimura, M. Saino, E. Akimoto, J. Furuya, Y. Ikeda and T. Harada: Kawasaki Steel Giho, 18(1986), 230. – reference: 1) K. Kokubu and Y. Shimoyma: Cement-Concrete, 714(2006), 27. – reference: 18) S. Banya, Y. Iguchi and S. Nagata: Tetsu-to-Hagané, 71(1985), 55. – reference: 11) B. Derin, M. Suzuki and T. Tanaka: ISIJ Int., 50(2010), 1059. – reference: 4) Y. Shimada, M. Hattori, K. Kajiya and K. Kokubu: Cement Science and Concrete Tecnology, 53(1999), 501. – reference: 10) M. Nakamoto, M. Hanao, T. Tanaka, M. Kawamoto, L. Holappa and M. Hamalainen: ISIJ Int., 47(2007), 1075. – reference: 2) D. Shi, Y. Masuda and Y. Lee: AIJ J. Technol, 17(2011), 787. – reference: 20) T. Tanaka: Electric Furnace Steel, 78(2007), 29. – reference: 7) T. Fuwa, S. Banya, Y. Iguchi and F. Ishi: Tetsu-to-Hagané, 72(1983), 371. – reference: 19) M. Imai, H. Ooi and T. Emi: Tetsu-to-Hagané, 48(1962), 111. – reference: 8) K. Sano and H. Sato: Tetsu-to-Hagané, (1982), S747. – reference: 16) T. Koshida, T. Ogasawara and H. Kishidaka: Tetsu-to-Hagané, 67(1981), 1491. |
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| SubjectTerms | blast furnace slag density estimation fine aggregate grain size neural network computation water granulated slag |
| Title | 高炉水砕スラグの粒度および密度に及ぼす製造条件の影響 |
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