Casting facility includes a pouring machine for pouring molten metal in a ladle into a mold molded by a molding machine and conveyed to a pouring site, and the pouring machine includes a plan acquisition unit configured to acquire a planned temperature range of the molten metal for the mold, a temperature sensor configured to detect a temperature of a pouring flow during pouring of the molten metal into the mold, and a temperature determination unit configured to determine whether or not the temperature of the pouring flow is within the planned temperature range, and the pouring machine stops the pouring of the molten metal into the mold when it is determined that the temperature of the pouring flow is not within the planned temperature range.

The present disclosure addresses the technical problem of prediction of a preheat refractory temperature profile of a ladle furnace. Operational temperature of the ladle furnace, stability of sensors and placement make sensors not feasible. Computational Fluid Dynamics (CFD) simulations require large computation time and cannot be used for runtime applications in plants. The method and system of the present disclosure uses CFD modeling to carry out parametric study to generate data which is further processed to train an Artificial Neural Network (ANN) model that serves as a prediction model for predicting the preheat refractory temperature profile for at least a portion of the side refractory and at least a portion of the bottom refractory layer separately for which a new set of input data is obtained. The trained prediction model of the present disclosure provides a quick runtime prediction in plants.

The present invention reasonably sets a molding condition of a mold for casting. A molding condition deriving device (i) collects a molding condition of a mold which molding condition excludes at least one molding condition, a sand property condition, and a quality condition of the mold, (ii) inputs the molding condition, the sand property condition, and the quality condition into a learned model learned with use of the molding condition, the sand property condition, and the quality condition, and (iii) derives the at least one molding condition.

The present invention reasonably sets a molding condition of a mold for casting. A molding condition deriving device (i) collects a molding condition of a mold which molding condition excludes at least one molding condition, a sand property condition, and a quality condition of the mold, (ii) inputs the molding condition, the sand property condition, and the quality condition into a learned model learned with use of the molding condition, the sand property condition, and the quality condition, and (iii) derives the at least one molding condition.

A continuously casting method including arranging temperature measuring elements according to specified conditions, selecting as evaluation targets for temperatures of copper plates on a wide face of mold values measured by the temperature measuring elements arranged closer to a center in a width direction of a cast slab than short sides of the cast slab under continuous casting at levels of 50 mm or more lower in a slab withdrawal direction than a meniscus of a molten steel in a mold, and adjusting a casting condition such that a standard deviation of the values measured over the width direction of the copper plates on the wide face of mold at a same level in the slab withdrawal direction is 20° C. or lower.

Steam exhaust ports are located around a perimeter of a direct chill casting pit, at various locations from below the top of the pit to the pit bottom to rapidly remove steam from the casting pit with addition of dry excess air. Gas introduction ports are also located around a perimeter of the casting pit and configured to introduce an inert gas into the casting pit interior.

Steam exhaust ports are located around a perimeter of a direct chill casting pit, at various locations from below the top of the pit to the pit bottom to rapidly remove steam from the casting pit with addition of dry excess air. Gas introduction ports are also located around a perimeter of the casting pit and configured to introduce an inert gas into the casting pit interior.

A three-dimensional (3D) metal object manufacturing apparatus has a thermally insulative layer between a platform on which an ejection head ejects drops of melted metal and a X-Y translation mechanism on which the platform is moved within an X-Y plane opposite the ejection head. The apparatus also includes a housing having an internal volume in which the platform and X-Y translation mechanism are located. In one embodiment, the thermally insulative layer is a plurality of spheres made of a thermally insulative material such as a ceramic made of zirconium dioxide or zirconium oxide. The thermally insulative layer protects the X-Y mechanism while the housing helps keep the surface temperature of the object being formed on the platform in an optimal range for bonding of the ejected melted metal drops to the object's surface.

A three-dimensional (3D) metal object manufacturing apparatus has a thermally insulative layer between a platform on which an ejection head ejects drops of melted metal and a X-Y translation mechanism on which the platform is moved within an X-Y plane opposite the ejection head. The apparatus also includes a housing having an internal volume in which the platform and X-Y translation mechanism are located. In one embodiment, the thermally insulative layer is a plurality of spheres made of a thermally insulative material such as a ceramic made of zirconium dioxide or zirconium oxide. The thermally insulative layer protects the X-Y mechanism while the housing helps keep the surface temperature of the object being formed on the platform in an optimal range for bonding of the ejected melted metal drops to the object's surface.

Systems and methods are provided for designing casting and finished component models used to fabricate corresponding casting hardware for a casted component and mechanical components fabricated therefrom. One exemplary method involves identifying a first subset of machined casting surfaces in a casting model of the casted component, identifying a second subset of machined feature surfaces in a finished model of the mechanical component, determining respective machine stock values associated the machined feature surfaces based on distances between the respective machined feature surfaces and the machined casting surfaces, and providing graphical indicia of the respective machine stock values that are influenced by the relationship between the respective machine stock values and a machine stock threshold.