A conveying device for conveying a viscous material from a container includes a follower plate that can be inserted into the container, and a pump by means of which the viscous material can be conveyed through the follower plate. Moreover, a measuring chamber for accommodation of a measuring sample of the viscous material is provided. The measuring chamber includes a closable material inlet opening for this purpose. A closable disposal line leads away from the measuring chamber. Moreover, a closable material return line extends from the measuring chamber via the follower plate into the container. The conveying device also includes a controller that is designed and can be operated appropriately such that it determines the compressibility of each of multiple measuring samples. The controller opens the disposal line or the material return line to the measuring sample present in the measuring chamber as a function of the compressibility thus determined.

A method for determining optimized shape data representing a shape of a molded workpiece formed from a molded material or/and a mold cavity of a molding tool, wherein the molded material hardens depending on at least one solidification parameter, the method including: a) providing shape data representing a shape of the workpiece or/and cavity, b) providing material data representing the molded material, c) providing molding process data representing the molding process, d) providing tool data representing the tool embodying the cavity, e) determining predictive shape data based on initial model data comprising the at least one solidification parameter and data provided in steps a), b), c), and d) simulating the molding process, f) generating optimized predictive shape data as the optimized shape data based on at least predictive shape data determined in step e) and based on first initial AI data comprising the at least one solidification parameter and data provided in steps a, b), c), and d), by means of an artificial neural simulation optimization network trained to optimize predictive shape data.

Non-time dependent measured variables are used to effectively determine an optimal ejection time of a part from a mold cavity. A system and/or approach may first measure at least one non-time dependent variable during an injection molding cycle. The part is ready to be ejected from the mold upon the measured variable reaching a threshold value indicative of, for example, a part temperature dropping below an activation temperature.

Non-time dependent measured variables are used to effectively determine an optimal ejection time of a part from a mold cavity. A system and/or approach may first measure at least one non-time dependent variable during an injection molding cycle. The part is ready to be ejected from the mold upon the measured variable reaching a threshold value indicative of, for example, a part temperature dropping below an activation temperature.

A casting tool, for example a core shooting tool or a permanent mould, having an upper tool part and a lower tool part, which on opposite sides each have at least one engraving formed as a shell engraving and which form a mould cavity, characterized in that the shell engraving on an outer side facing away from the mould cavity comprises at least one physical sensor which is configured to measure a physical quantity with respect to a material accommodated in the mould cavity. Furthermore, a corresponding casting method is described.

A conveying device for conveying a viscous material from a container includes a follower plate that can be inserted into the container, and a pump by means of which the viscous material can be conveyed through the follower plate. Moreover, a measuring chamber for accommodation of a measuring sample of the viscous material is provided. The measuring chamber includes a closable material inlet opening for this purpose. A closable disposal line leads away from the measuring chamber. Moreover, a closable material return line extends from the measuring chamber via the follower plate into the container. The conveying device also includes a controller that is designed and can be operated appropriately such that it determines the compressibility of each of multiple measuring samples. The controller opens the disposal line or the material return line to the measuring sample present in the measuring chamber as a function of the compressibility thus determined.

The present disclosure discloses an ultrasonic online nondestructive measurement method for a melt density in injection molding, which solves the problems of difficult installation, high cost, influence on product surface quality, and the like existing in an existing density measurement method. According to the present disclosure, an ultrasonic velocity is obtained from a time domain signal with reference to time domain and frequency domain signal analysis of ultrasonic echo signals, an acoustic impedance is calculated by full spectrum analysis of a frequency domain signal, and the melt density is calculated from a correlation of the ultrasonic velocity, the acoustic impedance, and the density. The method has the advantages of having high measurement accuracy and being nondestructive, online and low in cost, and has a great application value in the injection molding industry.

Non-time dependent measured variables are used to effectively determine an optimal ejection time of a part from a mold cavity. A system and/or approach may first measure at least one non-time dependent variable during an injection molding cycle. The part is ready to be ejected from the mold upon the measured variable reaching a threshold value indicative of, for example, a part temperature dropping below an activation temperature.