Method for estimating slag composition and slag properties at ladle furnace station using basic oxygen furnace and LF-in slag estimation system, involves determining high temperature slag properties based on input parameters using trained neural network model
	RAJASEKAR K; SRINIVAS P S; SAHOO P P; ROY T K; SRIVASTAVA K
	2023-06-30
专利权人	TATA STEEL LTD (TAST-C)
申请日期	2023-06-30
专利号	IN202331044139-A
成果简介	NOVELTY - The method involves determining a basic oxygen furnace (BOF) slag composition based on first parameter using a trained first neural network model (108) by a processor (102) of a BOF and LF-in slag estimation system (101). A LF-slag composition is determined based on second input parameters and the BOF slag composition determined as output from the network model using a principle based model (110). High temperature slag properties are determined by the processor based on third input parameters using trained second network model (112), where the third parameters comprise incoming temperature of the LF-lag composition. USE - Method for estimating slag composition and slag properties at a ladle furnace station using a BOF and LF-in slag estimation system (claimed). ADVANTAGE - The method enables simply and efficiently utilizing the BOF-LF-in slag composition determining module to accurately determine the composition of slag and high temperature slag properties of the slag. The method enables allowing an operator to obtain optimal slag formation in a steel refining process, so that operators can have to be aware of composition of a slag, thus effectively ensuring steel making results with appropriate composition in the steel, and hence reliably improving the steel making process. DETAILED DESCRIPTION - An INDEPENDENT CLAIM is also included for a BOF and LF-in slag estimation system for estimating a slag composition and slag properties at a ladle furnace station. DESCRIPTION OF DRAWING(S) - The drawing shows a block diagram of a BOF and LF-in slag estimation system. 101BOF and LF-in slag estimation system 102Processor 108Trained first neural network model 110Principle based model 112Trained second neural network model
IPC 分类号	C21C-007/00 ; C21C-007/076 ; C21C-007/10 ; G06N-003/04 ; G06N-003/08
国家	印度
专业领域	材料科学
语种	英语
成果类型	专利
文献类型	科技成果
条目标识符	http://119.78.100.226:8889/handle/3KE4DYBR/21438
专题	中国科学院新疆生态与地理研究所
作者单位	TATA STEEL LTD (TAST-C)
推荐引用方式 GB/T 7714	RAJASEKAR K,SRINIVAS P S,SAHOO P P,et al. Method for estimating slag composition and slag properties at ladle furnace station using basic oxygen furnace and LF-in slag estimation system, involves determining high temperature slag properties based on input parameters using trained neural network model. IN202331044139-A[P]. 2023.

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