A method for efficiently manufacturing low-phosphorus molten steel by use of a steelmaking electric furnace, in which slag resulting from melting a solid iron source is effectively separated from molten steel, and thus a unit consumption of lime required to reduce a phosphorus content in the molten steel is reduced. The method includes: charging a solid iron source and an optional molten iron source and melting and heating these raw materials by using electric energy; partly or entirely removing slag generated during the melting; performing dephosphorization by adding dephosphorization flux; and tapping low-phosphorus molten steel thus refined, and in the method, a slag composition ratio being [CaO]/([SiO.sub.2]+[Al.sub.2O.sub.3]) of the slag to be removed is adjusted to be not less than 0.25 and not more than 0.70.

Technologies are disclosed herein for cross-correlating metrics for anomaly root cause detection. Primary and secondary metrics associated with an anomaly are cross-correlated by first using the derivative of an interpolant of data points of the primary metric to identify a time window for analysis. Impact scores for the secondary metrics can be then be generated by computing the standard deviation of a derivative of data points of the secondary metrics during the identified time window. The impact scores can be utilized to collect data relating to the secondary metrics most likely to have caused the anomaly. Remedial action can then be taken based upon the collected data in order to address the root cause of the anomaly.

A metallurgical furnace including a vessel with a lower shell for containing a metal bath, the metal bath composed of molten metal and an overlying layer of slag. The lower shell is tiltingly supported and provided with a deslagging opening for evacuating the slag and a tapping opening for tapping the molten metal. The vessel includes an upper shell removably positioned on the lower shell and first and second inlet openings for feeding. The vessel includes a closing roof for the upper closing of the vessel removably positioned on the upper shell and a passage opening for the passage, through the same, of at least one electrode, at least one charge opening for feeding, through the same, charge material in the solid state. At least one of the inlet openings, passage opening, and charge opening is closed or associated with a closing element.

A metallurgical furnace including a vessel with a lower shell for containing a metal bath, the metal bath composed of molten metal and an overlying layer of slag. The lower shell is tiltingly supported and provided with a deslagging opening for evacuating the slag and a tapping opening for tapping the molten metal. The vessel includes an upper shell removably positioned on the lower shell and first and second inlet openings for feeding. The vessel includes a closing roof for the upper closing of the vessel removably positioned on the upper shell and a passage opening for the passage, through the same, of at least one electrode, at least one charge opening for feeding, through the same, charge material in the solid state. At least one of the inlet openings, passage opening, and charge opening is closed or associated with a closing element.

Technologies are disclosed herein for cross-correlating metrics for anomaly root cause detection. Primary and secondary metrics associated with an anomaly are cross-correlated by first using the derivative of an interpolant of data points of the primary metric to identify a time window for analysis. Impact scores for the secondary metrics can be then be generated by computing the standard deviation of a derivative of data points of the secondary metrics during the identified time window. The impact scores can be utilized to collect data relating to the secondary metrics most likely to have caused the anomaly. Remedial action can then be taken based upon the collected data in order to address the root cause of the anomaly.

Ti, N, Al, Mg, and Ca concentrations are controlled in order to prevent aggregation of TiN inclusions. Furthermore, not only is a Fe—Cr—Ni alloy having superior surface property provided, but also a method is proposed in which the Fe—Cr—Ni alloy is produced at low cost using commonly used equipment. The Fe—Cr—Ni alloy includes C≤0.05%, Si: 0.1 to 0.8%, Mn: 0.2 to 0.8%, P≤0.03%, S≤0.001%, Ni:16 to 35%, Cr: 18 to 25%, Al: 0.2 to 0.4%, Ti: 0.25 to 0.4%, N≤0.016%, Mg: 0.0015 to 0.008%, Ca≤0.005%, O: 0.0002 to 0.005%, freely selected Mo: 0.5 to 2.5% in mass % and Fe and inevitable impurities as the remainder, wherein Ti and N satisfy % N×% Ti≤0.0045 and the number of TiN inclusions not smaller than 5 μm is 20 to 200 pieces/cm.sup.2 at a freely selected cross section.

Ti, N, Al, Mg, and Ca concentrations are controlled in order to prevent aggregation of TiN inclusions. Furthermore, not only is a Fe—Cr—Ni alloy having superior surface property provided, but also a method is proposed in which the Fe—Cr—Ni alloy is produced at low cost using commonly used equipment. The Fe—Cr—Ni alloy includes C≤0.05%, Si: 0.1 to 0.8%, Mn: 0.2 to 0.8%, P≤0.03%, S≤0.001%, Ni:16 to 35%, Cr: 18 to 25%, Al: 0.2 to 0.4%, Ti: 0.25 to 0.4%, N≤0.016%, Mg: 0.0015 to 0.008%, Ca≤0.005%, O: 0.0002 to 0.005%, freely selected Mo: 0.5 to 2.5% in mass % and Fe and inevitable impurities as the remainder, wherein Ti and N satisfy % N×% Ti≤0.0045 and the number of TiN inclusions not smaller than 5 μm is 20 to 200 pieces/cm.sup.2 at a freely selected cross section.

Ti, N, Al, Mg, and Ca concentrations are controlled in order to prevent aggregation of TiN inclusions. Furthermore, not only is a FeCrNi alloy having superior surface property provided, but also a method is proposed in which the FeCrNi alloy is produced at low cost using commonly used equipment. The FeCrNi alloy includes C0.05%, Si: 0.1 to 0.8%, Mn: 0.2 to 0.8%, P0.03%, S0.001%, Ni:16 to 35%, Cr: 18 to 25%, Al: 0.2 to 0.4%, Ti: 0.25 to 0.4%, N0.016%, Mg: 0.0015 to 0.008%, Ca0.005%, O: 0.0002 to 0.005%, freely selected Mo: 0.5 to 2.5% in mass % and Fe and inevitable impurities as the remainder, wherein Ti and N satisfy % N% Ti0.0045 and the number of TiN inclusions not smaller than 5 m is 20 to 200 pieces/cm.sup.2 at a freely selected cross section.

Ti, N, Al, Mg, and Ca concentrations are controlled in order to prevent aggregation of TiN inclusions. Furthermore, not only is a FeCrNi alloy having superior surface property provided, but also a method is proposed in which the FeCrNi alloy is produced at low cost using commonly used equipment. The FeCrNi alloy includes C0.05%, Si: 0.1 to 0.8%, Mn: 0.2 to 0.8%, P0.03%, S0.001%, Ni:16 to 35%, Cr: 18 to 25%, Al: 0.2 to 0.4%, Ti: 0.25 to 0.4%, N0.016%, Mg: 0.0015 to 0.008%, Ca0.005%, O: 0.0002 to 0.005%, freely selected Mo: 0.5 to 2.5% in mass % and Fe and inevitable impurities as the remainder, wherein Ti and N satisfy % N% Ti0.0045 and the number of TiN inclusions not smaller than 5 m is 20 to 200 pieces/cm.sup.2 at a freely selected cross section.

Technologies are disclosed herein for cross-correlating metrics for anomaly root cause detection. Primary and secondary metrics associated with an anomaly are cross-correlated by first using the derivative of an interpolant of data points of the primary metric to identify a time window for analysis. Impact scores for the secondary metrics can be then be generated by computing the standard deviation of a derivative of data points of the secondary metrics during the identified time window. The impact scores can be utilized to collect data relating to the secondary metrics most likely to have caused the anomaly. Remedial action can then be taken based upon the collected data in order to address the root cause of the anomaly.