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

Chang, Jincai; Wang, Jiecheng; Wang, Zhuo; Shan, Shuaijie; Liu, Chunfeng

doi:10.1155/2018/8682725

Cited by 3 publications

(3 citation statements)

References 18 publications

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“…e adjustable pressure range of this low-pressure chamber is 0.045 -0.10 MPa. Images are widely used for the observation of ame morphology [27]. A high-de nition camera was used to record the ame in the low-pressure chamber no.…”

Section: Experimental Devicementioning

confidence: 99%

Combustion Characteristics of Horizontal Diesel Spray Burner in Low‐Pressure Chamber Based on Multivariate Correlation Analysis

et al. 2019

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At present, the burning problem of low power burners widely used in emergency and stove heating on the plateau has gradually attracted people’s attention. The fuel injection pressure, inlet air flow, air distribution regulation coefficient, and environmental pressure were considered respectively, and then the four factors and six levels of a uniform experimental investigation were conducted in a low-pressure chamber with adjustable atmospheric pressure. The flame morphology, flame temperature, and NO emission were investigated, and their correlation with each independent variable was analyzed. In addition, burning of droplet swarm was obtained with the simulate numerical calculation by the ANSYS FLUENT. The results showed that the low-pressure environment had a negative correlation with the maximum width and position of flame, the characteristics of flame uplifted and NO emission. Air volume determines the length of the flame, and atmospheric pressure and fuel injection pressure determine the maximum width of the flame. The shape of the horizontal jet flame in plateau environment is more dependent on the regulation of air volume. In order to reduce NO emission in plateau environment, it may be necessary to maintain a large air supply volume and reduce fuel injection pressure appropriately. At the microscopic level of droplet combustion, change mechanisms of macro flame shape in different sub-atmosphere were analyzed. The mechanism of flame morphological change in the plateau environment is the increase in droplet burning time and path. The adjustment of flame under sub-atmospheric pressure through the change of operating parameters is essential to improve the burning rate of droplets.

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Section: Experimental Devicementioning

confidence: 99%

Combustion Characteristics of Horizontal Diesel Spray Burner in Low‐Pressure Chamber Based on Multivariate Correlation Analysis

et al. 2019

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“…Converter steelmaking is the main steelmaking production mode in China. Due to the limitation of scrap shortage, converter steelmaking will be dominant for a long time [1]. Oxygen converter mainly blows high-pressure and high-purity oxygen from the oxygen lance on the top of the converter to reduce the content of carbon, phosphorus, and other elements in hot metal and increase the temperature, so as to obtain molten steel with composition and temperature meeting the target requirements [2,3].…”

Section: Introductionmentioning

confidence: 99%

Continuous Prediction Model of Carbon Content in 120 t Converter Blowing Process

Wang

Gao

Xing

et al. 2022

Metals

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A continuous prediction model of carbon content of 120 t BOF is established in this paper. Based on the three-stage decarburization theory and combined with the production process of 120 t converter, the effects of oxygen lance height and top blowing oxygen flow rate are also considered in the model. The explicit finite difference method is used to realize continuous prediction of carbon content in the converter blowing process. The model parameters such as ultimate carbon content in molten pool are calculated according to the actual data of 120 t BOF, which improves the hit rate of the model. Process verification and end-point verification for the continuous prediction model have been carried out, and the results of process verification indicate that the continuous prediction model established in the paper basically accords with the actual behavior of decarburization. Moreover, the hit ratio of the continuous prediction model reached 85% for the prediction of end-point carbon content within a tolerance of ±0.02%.

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“…Since the combustion flame is one of the most direct characteristics that reflect the combustion status inside the industrial furnace, the accurate detection of combustion flame can effectively help operators adjust combustion strategies to improve combustion utilization and ensure safe operation. erefore, various approaches were developed and applied to measure the combustion flame inside the industrial furnace [6][7][8], such as spectral analysis technology [6], optical fiber sensor technology [7], and temperature sensor technology [8].…”

Section: Introductionmentioning

confidence: 99%

A Novel Segmentation Method for Furnace Flame Using Adaptive Color Model and Hybrid‐Coded HLO

et al. 2021

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In recent years, the combustion furnace has been widely applied in many different fields of industrial technology, and the accurate detection of combustion states can effectively help operators adjust combustion strategies to improve combustion utilization and ensure safe operation. However, the combustion states inside the industrial furnace change according to the production needs, which further challenges the optimal set of model parameters. To effectively segment the flame pixels, a novel segmentation method for furnace flame using adaptive color model and hybrid-coded human learning optimization (AHcHLO) is proposed. A new adaptive color model with mixed variables (NACMM) is designed for adapting to different combustion states, and the AHcHLO is developed to search for the optimal parameters of NACMM. Then, the best NACMM with optimal parameters is adopted to segment the combustion flame image more precisely and effectively. Finally, the experiment results show that the developed AHcHLO obtains the best-known overall results so far on benchmark functions and the proposed NACMM outperforms state-of-the-art flame segmentation approaches, providing a high detection accuracy and a low false detection rate.

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

Cited by 3 publications

References 18 publications

Combustion Characteristics of Horizontal Diesel Spray Burner in Low‐Pressure Chamber Based on Multivariate Correlation Analysis

Combustion Characteristics of Horizontal Diesel Spray Burner in Low‐Pressure Chamber Based on Multivariate Correlation Analysis

Continuous Prediction Model of Carbon Content in 120 t Converter Blowing Process

A Novel Segmentation Method for Furnace Flame Using Adaptive Color Model and Hybrid‐Coded HLO

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