System assessment of recycling of steel slag in converter steelmaking

Diao, Jiang; Zhou, Wang; Ke, Zhaoqun; Qiao, Yunfeng; Zhang, Tao; Li, Xuan; Xie, Bing

doi:10.1016/j.jclepro.2016.03.040

Cited by 40 publications

(19 citation statements)

References 18 publications

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“…e final weight of the experts is calculated as Nozzle aging M 3 Large return water flow difference M 4 Abnormal oxygen supply M 5 Lower OL position M 6 Cooling water flange damaged M 7 Pipe blockage M 8 Pipeline weld cracking M 9 Larger oxygen pressure M 10 Excessive internal pressure BE 1…”

Section: Fuzzy Eory Fuzzy Theory Is a Methods Proposed Bymentioning

confidence: 99%

“…Oxygen flange failure BE 3 Oxygen pressure monitoring failure BE 4 Switching oxygen timing inappropriate BE 5 OL position shows abnormal BE 6 Lifetime reached BE 7 Nozzle not replaced in time BE 8 Water valve failure BE 9 Backwater flange damaged BE 10 Inlet flange damaged BE 11 OL pipe scaling BE 12 OL pipe not cleaned in time BE 13 Design defect BE 14 Water vapor condensation BE 15 Abnormal water circulation…”

Section: Fuzzy Eory Fuzzy Theory Is a Methods Proposed Bymentioning

confidence: 99%

“…It can be seen that in the process of metal smelting, once the high-temperature molten metal is in contact with water, the accident consequences are extremely critical [1,2]. However, only a few domestic and foreign scholars have investigated the risk of converter device failures, and most of them concentrated only on the methods to increase production or reduce energy consumption [3][4][5][6]. erefore, it is necessary to study the causes of OL failure in converter steel making and determine the occurrence probability of the OLBL, based on which reasonable and effective measures can be proposed to prevent the occurrence of major accidents.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Risk Assessment of Oxygen Lance Burning Loss Using Bow-Tie Analysis Based on Fuzzy Theory

Fan

et al. 2020

Mathematical Problems in Engineering

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Oxygen lances (OLs) are important devices used in converter steel making. However, the occurrence of OL burning loss (OLBL) failure may lead to explosion accidents. To better prevent OLBL failure, it is necessary to perform a probabilistic assessment. Bow-tie analysis based on fuzzy theory was proposed to assess OLBL, which represents a hazardous event. In this paper, fuzzy theory based on triangular fuzzy numbers (TFNs) was applied to calculate the failure data. Fuzzy fault tree analysis (FFTA) in combination with the improved similarity aggregation method (ISAM) was employed to reduce the error generated due to the subjective judgement of experts. Furthermore, a comprehensive importance analysis method was developed to rank the importance of basic events (BEs), facilitating the adoption of the corresponding safety decisions. When performing fuzzy event tree analysis (FETA), the occurrence probability of outcome events (OEs) was determined by conducting a layer of protection analysis (LOPA). Finally, safety measures were proposed based on the assessment results to achieve safe production. The results indicated that the use of bow-tie analysis is appropriate to perform qualitative and quantitative assessment. Through bow-tie analysis based on fuzzy theory, the occurrence probability of OLBL was determined to be in the interval (5.34E − 02, 2.69E − 01). By adding independent protective layers (IPLs), the occurrence probability of OEs caused by OLBL can be effectively reduced.

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Section: Fuzzy Eory Fuzzy Theory Is a Methods Proposed Bymentioning

confidence: 99%

Section: Fuzzy Eory Fuzzy Theory Is a Methods Proposed Bymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Risk Assessment of Oxygen Lance Burning Loss Using Bow-Tie Analysis Based on Fuzzy Theory

Fan

et al. 2020

Mathematical Problems in Engineering

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“…According to the second trend, steel slag is used in agriculture [12]. The third trend shows that the steel converter slag is added directly into a blast-furnace, agglomeration, or steel charge [13,14].…”

Section: Introductionmentioning

confidence: 99%

Change of the Chemical and Mineralogical Composition of the Slag during Oxygen Blowing in the Oxygen Converter Process

Baricová

Pribulová

Futáš

et al. 2018

Metals

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The article presents the results of the investigation of changes in the chemical and mineralogical composition of slag during steel production in a blown oxygen converter. This process was monitored using the slag samples that were collected during the period when oxygen blowing into an oxygen converter was interrupted. The slag samples were collected after 150 s (2.5 min), then after 5, 8, 11, and 24 min of oxygen blowing, and in minute 27 when oxygen blowing was terminated. The sampling was carried out within five consecutive melting processes. The article presents and documents the changes in the contents of CaO, CaO (free), Fe (total), FeO, SiO2, and in the basicity of the slag during oxygen blowing. It also provides the characteristics of individual structural components formed during oxygen blowing and a detailed description of the lime assimilation process, including the formation of the final structure of the slag, consisting of dicalcium silicate (2CaO·SiO2), tricalcium silicate (3CaO·SiO2), RO-phase, and calcium ferrites (2CaO·Fe2O3). The results of the investigation of the changes in the chemical composition of the slag during oxygen blowing in an oxygen converter were compared with the changes in the structural composition of the slag.

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“…Small-and medium-sized converter production accounts for about 75% of the total in China at present. The most commonly used of these plants is the empirical steelmaking method [7], which is a static control based on material balance and heat balance. In the production, it is often necessary to melt down, which makes it difficult to ensure a high hit rate, resulting in waste of resources and inefficiency.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Converter Combustion Flame Spectrum Big Data Sets Based on HHT

Chang

Wang

et al. 2018

Complexity

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The characteristics of the converter combustion flame are one of the key factors in the process control and end-point control of steelmaking. In a big data era, it is significant to carry out high-speed and effective processing on frame spectrum data. By installing data acquisition devices at the converter mouth and separating the spectrum according to the wave length, high-dimensional converter flame spectrum big data sets are achieved. The data of each converter is preprocessed after information fusion. By applying the SM software, the correspondence with the carbon content is obtained. Selecting the relative data of the two peak ratios and the single-peak absolute data as a one-dimensional signal, due to the obvious nonlinear and nonstationary characteristics, using HHT to do empirical mode decomposition and Hilbert spectrum analysis, the variation characteristics after 70% of the converter steelmaking process are obtained. From data acquisition, data preprocessing to data analysis and results, it provides a new perspective and method for the study of similar problems.

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System assessment of recycling of steel slag in converter steelmaking

Cited by 40 publications

References 18 publications

Risk Assessment of Oxygen Lance Burning Loss Using Bow-Tie Analysis Based on Fuzzy Theory

Risk Assessment of Oxygen Lance Burning Loss Using Bow-Tie Analysis Based on Fuzzy Theory

Change of the Chemical and Mineralogical Composition of the Slag during Oxygen Blowing in the Oxygen Converter Process

Analysis of Converter Combustion Flame Spectrum Big Data Sets Based on HHT

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