Embodiments concern a plant for melting and/or heating metal material and a corresponding method to supply electrical energy. The plant comprises at least one induction furnace (11) and means (12) for supplying electrical energy to the induction furnace 11), wherein the electric power supply means (12) comprise at least one transformer (13) connected to an alternating current mains power network (14), at least one rectifier (15) located downstream of the transformer (13), at least one converter (16) located downstream of the rectifier device (15), and at least one coil (17) for melting and/or heating metal material.

A method for computer numerically controlled processing may include receiving configurations for a fabrication in which a computer numerically controlled machine processes a material to achieve one or more designs. An analysis may be performed to determine whether a thermal event occurs during the fabrication. The analysis may include performing one or more of a time-variant simulation and a time-invariant simulation of the fabrication. The thermal event may include one or more regions of the material exhibiting an undesirable response to the electromagnetic energy delivered to the material. One or more outputs may be generated based on the result of the thermal verification. The outputs may include a visualization of the quantity of energy exposure across the material, an alert if a thermal event is determined to occur during the fabrication, and corrective actions for resolving potential thermal events.

The present invention is a system and predictive modeling method specially designed to improve process control and energy efficiency for a smelting process used to produce pure metal from an ore containing said metal. Data is collected from various sensor sources in the smeltering process to predict whether an increase or decrease is needed in controlling two variables comprising temperature and an additive that allows the reaction in the electrolytic process to proceed at a lower bath temperature. The invention provides a generalized framework to learn the complex heterogeneity embedded in the collected data, and employs a regularized non-negative matrix factorization problem, which simultaneously decomposes the instance-feature and instance-label matrices, while enforcing task relatedness, feature type consistency and label correlations on the collected data. The predictive modeling method disclosed herein effectively mines the hidden correlation among the heterogeneous data and improves the prediction accuracy.

The present invention is a system and predictive modeling method specially designed to improve process control and energy efficiency for a smelting process used to produce pure metal from an ore containing said metal. Data is collected from various sensor sources in the smeltering process to predict whether an increase or decrease is needed in controlling two variables comprising temperature and an additive that allows the reaction in the electrolytic process to proceed at a lower bath temperature. The invention provides a generalized framework to learn the complex heterogeneity embedded in the collected data, and employs a regularized non-negative matrix factorization problem, which simultaneously decomposes the instance-feature and instance-label matrices, while enforcing task relatedness, feature type consistency and label correlations on the collected data. The predictive modeling method disclosed herein effectively mines the hidden correlation among the heterogeneous data and improves the prediction accuracy.

A method for computer numerically controlled processing may include receiving configurations for a fabrication in which a computer numerically controlled machine processes a material to achieve one or more designs. An analysis may be performed to determine whether a thermal event occurs during the fabrication. The analysis may include performing one or more of a time-variant simulation and a time-invariant simulation of the fabrication. The thermal event may include one or more regions of the material exhibiting an undesirable response to the electromagnetic energy delivered to the material. One or more outputs may be generated based on the result of the thermal verification. The outputs may include a visualization of the quantity of energy exposure across the material, an alert if a thermal event is determined to occur during the fabrication, and corrective actions for resolving potential thermal events.

A method for computer numerically controlled processing may include receiving configurations for a fabrication in which a computer numerically controlled machine processes a material to achieve one or more designs. An analysis may be performed to determine whether a thermal event occurs during the fabrication. The analysis may include performing one or more of a time-variant simulation and a time-invariant simulation of the fabrication. The thermal event may include one or more regions of the material exhibiting an undesirable response to the electromagnetic energy delivered to the material. One or more outputs may be generated based on the result of the thermal verification. The outputs may include a visualization of the quantity of energy exposure across the material, an alert if a thermal event is determined to occur during the fabrication, and corrective actions for resolving potential thermal events.

Embodiments concern a plant for melting and/or heating metal material and a corresponding method to supply electrical energy. The plant comprises at least one induction furnace (11) and means (12) for supplying electrical energy to the induction furnace 11), wherein the electric power supply means (12) comprise at least one transformer (13) connected to an alternating current mains power network (14), at least one rectifier (15) located downstream of the transformer (13), at least one converter (16) located downstream of the rectifier device (15), and at least one coil (17) for melting and/or heating metal material.