Latest Generation Sinter Process Optimization Systems

Kronberger, Thomas; Schäler, Martin; Schönegger, Christoph

doi:10.5772/35135

Cited by 2 publications

(2 citation statements)

References 3 publications

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“…is process consumes high energy and produces a large amount of CO 2 because of the coke breeze and coke oven gas (COG) combustion. It is crucial to efficiently control the amount of fuel consumption in a sintering plant because it plays a key role in production costs [12].…”

Section: Application Of Carbon-infiltrated Biochar In Sinteringmentioning

confidence: 99%

Innovative Process to Enrich Carbon Content of EFB‐Derived Biochar as an Alternative Energy Source in Ironmaking

Purwanto

Rozhan

Salleh

2018

Advances in Materials Science and Engineering

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This paper describes the mechanism of a developed process—an integrated pyrolysis-tar decomposition process—to produce oil palm empty fruit bunch- (EFB-) derived biochar with additional solid carbon within the biochar bodies, produced by decomposition of tar vapor on its pore surface, using the chemical vapor infiltration (CVI) method. The product, carbon-infiltrated biochar, was characterized to investigate the possibility to be used as partial coke breeze replacement in ironmaking. Carbon-infiltrated biochar is proposed to be utilized for a sintering process that could reduce the consumption of coke and CO2emission in iron-steel industry.

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Section: Application Of Carbon-infiltrated Biochar In Sinteringmentioning

confidence: 99%

Innovative Process to Enrich Carbon Content of EFB‐Derived Biochar as an Alternative Energy Source in Ironmaking

Purwanto

Rozhan

Salleh

2018

Advances in Materials Science and Engineering

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“…This level is defined by the danger of abnormal situation omission. It is useful to identify one more threshold ζ, which defines a level of abnormal situation undetection, ζ = 0.3 . If output of any neuron from output layer is located between these two thresholds, it is a reason to control the process more carefully.…”

Section: Algorithm Of Diagnostic System Operationmentioning

confidence: 99%

Diagnostics of sintering processes on the basis of PCA and two‐level neural network model

Egorova

Rudakova

Rusinov

et al. 2017

Journal of Chemometrics

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The application of chemometrics methods to continuous monitoring and diagnostics of sintering process faults for improving iron‐ore sinter quality is considered in the article. The sintering process is among complex multivariate processes. A number of agglomeration process faults have often similar symptoms, resulting in late fault detection by an operator and as a consequence, wrong process control decisions. To support the efficient operative decision making, it is proposed to use the process fault monitoring and diagnostics system. The proposed system uses a two‐level neural network (NN) diagnostic model. The high‐level neural network is used to localize the process faults whereas their reasons are determined by the low‐level neural networks. To reduce essentially the time of HL‐NN training and retraining, the task dimension is preliminarily reduced with the principal component analysis method so that the scores obtained from initial data are fed into high‐level neural network inputs. The use of principal component analysis allowed detection of sintering process faults with T2 and Q statistics. Only upon detecting the fault, a NN diagnostic model starts working to determine the fault reason. The system algorithm provides for special measures to prevent the NN from possible “loss” of the identified fault due to operator's inactivity. To increase the diagnosis depth for controlling fault symptoms that are evident on the sinter cake surface, optical digital cameras are installed and images from them are processed with proposed algorithms on the basis of fuzzy clusterization to take into account uncertainties in the initial information.

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Latest Generation Sinter Process Optimization Systems

Cited by 2 publications

References 3 publications

Innovative Process to Enrich Carbon Content of EFB‐Derived Biochar as an Alternative Energy Source in Ironmaking

Innovative Process to Enrich Carbon Content of EFB‐Derived Biochar as an Alternative Energy Source in Ironmaking

Diagnostics of sintering processes on the basis of PCA and two‐level neural network model

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