Industrial Tests of Steel Filtering Process

Bulkowski, L.; Galisz, U.; Kania, H.; Kudliński, Z.; Pieprzyca, J.; Barański, Jacek

doi:10.2478/v10172-012-0035-2

Cited by 19 publications

(10 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the technical bibliography [22][23][24][25][26] the authors analyse a very similar topic but they deal with different quality types of steel, and the chemical composition of the non-metallic inclusions differs as well, nevertheless the basic principle is the same. In the given specific literature, the authors underlined the increase of the non-metallic inclusions content that occurred after the increase of the steel cast speed Fig.6.…”

Section: Fig 2 Graphical Dependency Between the Present Non-metallicmentioning

confidence: 99%

Impact of Cast Speed on the Occurrence of the Non-Metallic Inclusions in Steel

Rega¹,

Molnár²,

Jusko³

et al. 2016

Acta Metall Slovaca

View full text Add to dashboard Cite

<p>This paper deals with the examination of the impact of steel cast speed on the occurrence of the non-metallic inclusions due to the investigation of the individual samples taken at different steel cast speeds. The aim of this paper was to identify and describe the relation between the non-metallic inclusions occurring in the metal and the cast speed variations at the continuous casting machine. The non-metallic inclusions within this investigation were identified by the method (AES) based on the atomic emission spectroscopy that evaluates the occurrence of the determined elements in the metal. This method applies the principle of the light emitting acquired by the high-voltage spark supply. The investigation of the impact of both the technological production parameters, and the casting on the cleanliness of the given absorption quality of steel leads to their optimization, as well as, to total minimization of occurrence of the non-metallic inclusions in the steel volume were studied.</p>

show abstract

Section: Fig 2 Graphical Dependency Between the Present Non-metallicmentioning

confidence: 99%

Impact of Cast Speed on the Occurrence of the Non-Metallic Inclusions in Steel

Rega¹,

Molnár²,

Jusko³

et al. 2016

Acta Metall Slovaca

View full text Add to dashboard Cite

show abstract

“…[28,29] Industrial tests indicated that ceramic filters could effectively remove small inclusions in steel by absorbing inclusions. [30,31] Furthermore, ceramic filters can improve the flow conditions of liquid steel, and promote the floating and removal of inclusions in steel. [32] Recently, the microporous magnesia was also applied in ceramic filters and exhibited excellent mechanical properties, thermal shock resistance, and filtration efficiency.…”

Section: Introductionmentioning

confidence: 99%

Effect of Rare‐Earth Oxides Containing Refractories on the Cleanliness of Al‐Killed Steels

Yuan,

Li,

Meng

et al. 2023

steel research int.

View full text Add to dashboard Cite

Refractories have a significant impact on the cleanliness of molten steel, especially when utilized as ceramic filters. To explore the feasibility of applying rare‐earth oxides in ceramic filters, the interactions between CeO2/CeAlO3 functional refractories and steels with different Al contents are explored, and compared with the microporous magnesia refractory. In the test of CeO2 refractory, the total oxygen (T.O) content significantly increases, while the dissolved Al content obviously decreases in 38CrMoAl steel (0.876 wt% [Al]). Furthermore, the T.O contents in 38CrMoAl and X70 steel (0.040 wt% [Al]) in the test of CeAlO3 refractory are 22.9% and 70.9% of that in the test of microporous magnesia refractory, respectively. Meanwhile, the loss of dissolved Al in steel caused by the interaction between CeAlO3 refractory and steel is relatively small. Therefore, CeAlO3 is relatively stable after contact with molten steel and promising to be applicated in the ceramic filter for improving the cleanliness of molten steel.

show abstract

“…With the development of information technology, many methods such as filtering [27,28], estimation [29,30], and online detection [31,32] for industrial processes have been proposed, and most of them involve the soft sensing technology.…”

Section: Introductionmentioning

confidence: 99%

Online Prediction Method of Molten Aluminium Height in Electrolytic Cell Based on Extreme Learning Machine with Kernel Function

Cao

Cui

et al. 2021

Mathematical Problems in Engineering

View full text Add to dashboard Cite

An online prediction method of molten aluminium height is proposed based on extreme learning machine with kernel function (K-ELM). Firstly, relevant variables that can be measured online related to aluminium liquid fluctuations were obtained by analyzing the mechanism model of aluminium liquid fluctuations. Then, the online prediction method of molten aluminium height is proposed based on kernel function and ELM, which just use the anode-cathode voltage and the anode rod current data. Finally, the data collection and experiment of 3 sets of anode rods in the 200 kA series aluminium electrolytic cells are carried out on-site. The results show that the maximum absolute error is only 0.25 cm and relative error is less than 1.4%, which satisfied the production site requirements. Compared with existing methods, it has certain advantages in real-time and prediction accuracy and meets the real-time and accuracy requirements of the actual production process on-site.

show abstract

Industrial Tests of Steel Filtering Process

Cited by 19 publications

References 0 publications

Impact of Cast Speed on the Occurrence of the Non-Metallic Inclusions in Steel

Impact of Cast Speed on the Occurrence of the Non-Metallic Inclusions in Steel

Effect of Rare‐Earth Oxides Containing Refractories on the Cleanliness of Al‐Killed Steels

Online Prediction Method of Molten Aluminium Height in Electrolytic Cell Based on Extreme Learning Machine with Kernel Function

Contact Info

Product

Resources

About