A water supply and kneading system for green sand, including: a weighing hopper that stores green sand that has been weighed; a kneading machine that kneads the green sand and water; a sand loading means for releasing the green sand in the weighing hopper into the kneading machine, or shutting off the release; a water supply device that supplies water to the green sand in the kneading machine; a moisture sensor that includes a pair of electrodes and measures the moisture content of the green sand stored in the weighing hopper by measuring an electric potential difference between the electrodes; and a kneading control device that controls the amount of water supplied by the water supply device and controls the sand loading means on the basis of the output of the moisture sensor.

A core forming device is equipped with a kneading tank in which raw materials of a core are kneaded, a raw material supply unit that supplies the raw materials to the kneading tank, a mold that accommodates a kneaded material including the raw materials kneaded in the kneading tank and that forms the core, a piston that injects the kneaded material into the mold, a position sensor that detects a position of the piston, and a control unit that controls a supply amount of the raw materials supplied to the kneading tank from the raw material supply unit. The control unit determines the supply amount of the raw materials based on a difference between the position of the piston upon completion of injection and a reference position of the piston.

A core blowing device comprises a hopper, a fluidizer, a shooting head, and a robotic arm fitting. The core blowing device is configured to removeably couple to a free end of a robotic arm and is configurable to implement a variety of core casting processes using different aggregate materials, binders, catalysts, and/or curing processes.

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 kneaded sand property adjusting system including: a kneading device; a kneaded sand storage hopper that stores kneaded sand; a molding device that molds the sand conveyed from the sand storage hopper; a control device that controls water injection until a property of the sand meets a kneaded sand target property; and kneaded sand amount measuring instruments that measure the amount of sand stored in storage hopper, wherein the control device stores the batch number of each kneaded batch and the kneaded sand property measured at the time of kneading, calculates the batch number of the kneaded batch that corresponds to the molding sand being loaded into the molding device by the kneaded sand amount measuring instruments, associates the property of the molding sand with the property stored on by the batch number that was calculated, and corrects the target property on the basis of the values of the properties.

Provided is a decompression kneader capable of stabilizing a moisture content of resultant kneaded sand. The decompression kneader includes a kneader main body configured to knead casting sand and water, a decompression pump configured to reduce a pressure inside the kneader main body, a condenser configured to condense water vapor sucked by the decompression pump, a tank configured to store water condensed by the condenser, and a supply amount calculation apparatus configured to calculate an amount of water supplied from the tank to the kneader main body. The tank comprises a water gauge and a weighing scale, and the supply amount calculation apparatus estimates an amount of the casting sand contained in the tank based on measured values of the water gauge and the weighing scale and corrects the amount of the water supplied from the tank with reference to the amount of the casting 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.

Teaching storage means stores teaching data created on the basis of signals from a first pulse generator, a first shaft detector, a second pulse generator, and a second shaft detector, in a storage unit as a sequence control program of molding operation of a self-hardening mold when teaching operation of throwing kneaded self-hardening foundry sand from a discharge port into a molding flask is performed by manually moving a conveyor arm and a kneading arm. Molding playback means reads out the sequence control program from the storage unit to control and drive a first pivot motor and a second pivot motor on the basis of the sequence control program to pivot the conveyor arm and the kneading arm, and then throws the self-hardening foundry sand from the discharge port of the kneading arm into the molding flask to reproduce the molding operation.

Provided is a method of producing foamed sand (s) for forming a sand mold. The foamed sand (s) includes sand particles (p) and foam (f) adhering to surfaces of the sand particles (p). The foam (f) contains water glass (b), water (w), and a surfactant (c). According to the method, an aqueous surfactant solution (e) in which the surfactant (c) is dissolved is frothed to generate froth (d) from the aqueous surfactant solution (e). Then, the generated froth (d), the water glass (b), and the water (w) are kneaded with the sand constituted by the sand particles (p).

Teaching storage means stores teaching data created on the basis of signals from a first pulse generator, a first shaft detector, a second pulse generator, and a second shaft detector, in a storage unit as a sequence control program of molding operation of a self-hardening mold when teaching operation of throwing kneaded self-hardening foundry sand from a discharge port into a molding flask is performed by manually moving a conveyor arm and a kneading arm. Molding playback means reads out the sequence control program from the storage unit to control and drive a first pivot motor and a second pivot motor on the basis of the sequence control program to pivot the conveyor arm and the kneading arm, and then throws the self-hardening foundry sand from the discharge port of the kneading arm into the molding flask to reproduce the molding operation.