A method for recovery of moulding sand from a foundry sand mixture, which includes at least one proportion of moulding material fragments or loose moulding material grains, which accumulates when a cast part is demoulded from a casting mould as a result of the destruction of casting cores which have been formed from the moulding sand and an inorganic binder. The method includes: a) mixing the foundry sand mixture with cleaning water to form a slurry in order to dissolve the inorganic binder residues contained in the foundry sand mixture and optionally present additives from the moulding sand and to rinse them from the foundry sand mixture, and b) separating the cleaning water contaminated with the inorganic binder residues from the moulding sand contained in the slurry, wherein the process temperature of the slurry formed in step a) is 50 to 200° C.

The invention provides a method for the cost-effective, resource-saving and highly productive recovery of moulding sand (F) from a foundry sand mixture (G), which comprises at least one proportion (FAB) of moulding material fragments or loose moulding material grains, which accumulates when a cast part is demoulded from a casting mould as a result of the destruction of casting cores or moulded parts representing the cast part which have been formed from the moulding sand (F) and an inorganic binder and optionally one or a plurality of additives to set the properties of the moulding material, wherein the method comprises the work steps a) mixing the foundry sand mixture (G) with cleaning water (RW) to form a slurry (S) in order to dissolve the inorganic binder residues (AB) contained in the foundry sand mixture (G) and optionally present additives from the moulding sand (F) and to rinse them out of the foundry sand mixture (G),
and b) separating the cleaning water (RWK) contaminated with the inorganic binder residues (AB) from the moulding sand (F) contained in the slurry (S),
and wherein the process temperature of the slurry (S) formed from the cleaning water and the foundry sand mixture (G) (work step a)) is 50 to 200° C.

A green sand treatment equipment monitoring system that detects that the condition of green sand treatment equipment is deteriorating before the green sand treatment equipment fails, or detects that the quality of green sand treated by the green sand treatment equipment and kneaded sand produced from the green sand is deteriorating before it becomes clear that the green sand and the kneaded sand are defective products. The system including: an information collecting device that collects, in real time, data measured by equipment within green sand treatment equipment; and a diagnostic device that compares, in real time, the collected data with a control value, and displays a diagnosis result if the diagnostic device determines that the collected data has deviated from the control value.

An object is to accurately estimate loss-on-ignition in a short time. A loss-on-ignition estimation apparatus includes at least one processor configured to carry out an estimation step, the estimation step including estimating the loss-on-ignition of foundry sand with use of a learned model constructed by means of machine learning. The learned model is configured to receive, as input, (1) sand weight data relating to a weight of the foundry sand detected in a calcination period and (2) at least one of (i) sand property data relating to one or more properties of the foundry sand, (ii) additive data relating to one or more additives added to the foundry sand, and (iii) calcination environment data relating to a calcination environment detected in the calcination period. The learned model is configured to generate, as output, an estimated loss-on-ignition of the foundry sand.

An object is to accurately estimate loss-on-ignition in a short time. A loss-on-ignition estimation apparatus includes at least one processor configured to carry out an estimation step, the estimation step including estimating the loss-on-ignition of foundry sand with use of a learned model constructed by means of machine learning. The learned model is configured to receive, as input, (1) sand weight data relating to a weight of the foundry sand detected in a calcination period and (2) at least one of (i) sand property data relating to one or more properties of the foundry sand, (ii) additive data relating to one or more additives added to the foundry sand, and (iii) calcination environment data relating to a calcination environment detected in the calcination period. The learned model is configured to generate, as output, an estimated loss-on-ignition of the foundry sand.

A mixing and adjusting method for foundry sand includes calculating a total supplied water amount until a compactability (CB) value of mixed sand becomes larger than a lower limit value of a target CB value range, determining the total supplied water amount as a predetermined amount of water associated with an electric resistance of the foundry sand, and determining a ratio of a variation in the CB value corresponding to an additionally supplied water amount from the additionally supplied water amount during an additional water pouring and the CB value of the mixed sand.