Real-time prediction and precise control of sinter quality are pivotal for energy saving,cost reduction,quality improvement and efficiency enhancement in the ironmaking process.To advance,the accuracy and comprehensiv...Real-time prediction and precise control of sinter quality are pivotal for energy saving,cost reduction,quality improvement and efficiency enhancement in the ironmaking process.To advance,the accuracy and comprehensiveness of sinter quality prediction,an intelligent flare monitoring system for sintering machine tails that combines hybrid neural networks integrating convolutional neural network with long short-term memory(CNN-LSTM)networks was proposed.The system utilized a high-temperature thermal imager for image acquisition at the sintering machine tail and employed a zone-triggered method to accurately capture dynamic feature images under challenging conditions of high-temperature,high dust,and occlusion.The feature images were then segmented through a triple-iteration multi-thresholding approach based on the maximum between-class variance method to minimize detail loss during the segmentation process.Leveraging the advantages of CNN and LSTM networks in capturing temporal and spatial information,a comprehensive model for sinter quality prediction was constructed,with inputs including the proportion of combustion layer,porosity rate,temperature distribution,and image features obtained from the convolutional neural network,and outputs comprising quality indicators such as underburning index,uniformity index,and FeO content of the sinter.The accuracy is notably increased,achieving a 95.8%hit rate within an error margin of±1.0.After the system is applied,the average qualified rate of FeO content increases from 87.24%to 89.99%,representing an improvement of 2.75%.The average monthly solid fuel consumption is reduced from 49.75 to 46.44 kg/t,leading to a 6.65%reduction and underscoring significant energy saving and cost reduction effects.展开更多
In this paper,the cement clinkers from various industrial Kilns were investigated by a superposing peaks method for X-ray quantitative analysis(XRQA)of clinker minerals,the results show that the clinker mineral conten...In this paper,the cement clinkers from various industrial Kilns were investigated by a superposing peaks method for X-ray quantitative analysis(XRQA)of clinker minerals,the results show that the clinker mineral contents measured by XRQA method better accord with the reality of clinkers made in different conditions than theoretic contents calculated by Bouge formula do.The measured contents of C3S of clinkers manufactured in rotary kilns are higher than theoretically calculated values,whereas,the results of clinker man manufactured in shaft kilns are contrary to that.This is because in rotary kiln,the raw meals are fully pre-heated and have high sintering temperature,the clinkers are well solid-solutioned and rapidly cooled,on the contrary,owing to the struetural defects,it is easy to exist reducing atmosphere and lower temperature in shaft kiln,moreover the cooling rate is slower,all these can evidently Lead to worse clinker quality.Adding CaF2-Ca-SO4 complex mineralizer can remarkably modify the sintering situation in shaft kiln,especially can evidently increase C3S content and make it well crystallized,therefore,im prove the sintered quality of clinker.展开更多
This paper deals with a comparative research between two processes of granulation, namely mini-pelletized sintering （MPS） and hybrid pelletized sintering （HPS）, focusing on aspects such as the balling effect, prod...This paper deals with a comparative research between two processes of granulation, namely mini-pelletized sintering （MPS） and hybrid pelletized sintering （HPS）, focusing on aspects such as the balling effect, production, quality, and mineralography and metallurgical performance of sinter. The results indicate that both methods can result in a satisfying capability in balling effect and metallurgical performance of sinter, qualified to meet the plant production requirements, but when the granulation time and granulating moisture are set to around 6 minutes and 7.0% respectively, MPS is better than HPS.展开更多
基金founded by the Open Project Program of Anhui Province Key Laboratory of Metallurgical Engineering and Resources Recycling(Anhui University of Technology)(No.SKF21-06)Research Fund for Young Teachers of Anhui University of Technology in 2020(No.QZ202001).
文摘Real-time prediction and precise control of sinter quality are pivotal for energy saving,cost reduction,quality improvement and efficiency enhancement in the ironmaking process.To advance,the accuracy and comprehensiveness of sinter quality prediction,an intelligent flare monitoring system for sintering machine tails that combines hybrid neural networks integrating convolutional neural network with long short-term memory(CNN-LSTM)networks was proposed.The system utilized a high-temperature thermal imager for image acquisition at the sintering machine tail and employed a zone-triggered method to accurately capture dynamic feature images under challenging conditions of high-temperature,high dust,and occlusion.The feature images were then segmented through a triple-iteration multi-thresholding approach based on the maximum between-class variance method to minimize detail loss during the segmentation process.Leveraging the advantages of CNN and LSTM networks in capturing temporal and spatial information,a comprehensive model for sinter quality prediction was constructed,with inputs including the proportion of combustion layer,porosity rate,temperature distribution,and image features obtained from the convolutional neural network,and outputs comprising quality indicators such as underburning index,uniformity index,and FeO content of the sinter.The accuracy is notably increased,achieving a 95.8%hit rate within an error margin of±1.0.After the system is applied,the average qualified rate of FeO content increases from 87.24%to 89.99%,representing an improvement of 2.75%.The average monthly solid fuel consumption is reduced from 49.75 to 46.44 kg/t,leading to a 6.65%reduction and underscoring significant energy saving and cost reduction effects.
文摘In this paper,the cement clinkers from various industrial Kilns were investigated by a superposing peaks method for X-ray quantitative analysis(XRQA)of clinker minerals,the results show that the clinker mineral contents measured by XRQA method better accord with the reality of clinkers made in different conditions than theoretic contents calculated by Bouge formula do.The measured contents of C3S of clinkers manufactured in rotary kilns are higher than theoretically calculated values,whereas,the results of clinker man manufactured in shaft kilns are contrary to that.This is because in rotary kiln,the raw meals are fully pre-heated and have high sintering temperature,the clinkers are well solid-solutioned and rapidly cooled,on the contrary,owing to the struetural defects,it is easy to exist reducing atmosphere and lower temperature in shaft kiln,moreover the cooling rate is slower,all these can evidently Lead to worse clinker quality.Adding CaF2-Ca-SO4 complex mineralizer can remarkably modify the sintering situation in shaft kiln,especially can evidently increase C3S content and make it well crystallized,therefore,im prove the sintered quality of clinker.
文摘This paper deals with a comparative research between two processes of granulation, namely mini-pelletized sintering （MPS） and hybrid pelletized sintering （HPS）, focusing on aspects such as the balling effect, production, quality, and mineralography and metallurgical performance of sinter. The results indicate that both methods can result in a satisfying capability in balling effect and metallurgical performance of sinter, qualified to meet the plant production requirements, but when the granulation time and granulating moisture are set to around 6 minutes and 7.0% respectively, MPS is better than HPS.
