C21C7/076

METHOD FOR DEPHOSPHORIZATION OF MOLTEN IRON, AND REFINING AGENT

When performing dephosphorization treatment of hot metal by adding a refining agent as a lime source and an oxygen source (dephosphorizing agent(s) and a gaseous oxygen source into the hot metal accommodated in a hot metal holding container, the refining agent used is a refining agent having an Ig-loss value of from 4.0% by mass to 35.0% by mass and including 60% by mass or more of quicklime.

Method for obtaining calcium aluminates from non-saline aluminum slags

The present invention relates to a method for obtaining calcium aluminates for metallurgical use from non-saline aluminum slags by means of reactive grinding and thermal treatment.

Method for obtaining calcium aluminates from non-saline aluminum slags

The present invention relates to a method for obtaining calcium aluminates for metallurgical use from non-saline aluminum slags by means of reactive grinding and thermal treatment.

Fe-Cr-Ni ALLOY AND METHOD FOR PRODUCTION THEREOF

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.

Fe-Cr-Ni ALLOY AND METHOD FOR PRODUCTION THEREOF

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.

Method of producing exothermic mold powder in form of sprayed granules

A method of producing an exothermic mold powder in a form of sprayed granules of the present invention includes spray-drying into granules, an aqueous slurry containing: a raw material blend; and a metal silicon powder and/or a silicon alloy powder, the method comprising adjusting the pH of the aqueous slurry to 13 or less.

Method of producing exothermic mold powder in form of sprayed granules

A method of producing an exothermic mold powder in a form of sprayed granules of the present invention includes spray-drying into granules, an aqueous slurry containing: a raw material blend; and a metal silicon powder and/or a silicon alloy powder, the method comprising adjusting the pH of the aqueous slurry to 13 or less.

Granules containing agglomerated bulk material
10781500 · 2020-09-22 · ·

The invention relates to granules composed of agglomerated reactive bulk material and a binder matrix, the binder matrix comprising as binder an organic or inorganic salt.

Granules containing agglomerated bulk material
10781500 · 2020-09-22 · ·

The invention relates to granules composed of agglomerated reactive bulk material and a binder matrix, the binder matrix comprising as binder an organic or inorganic salt.

CROSS-CORRELATION OF METRICS FOR ANOMALY ROOT CAUSE IDENTIFICATION

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.