Abstract: Aspects of the disclosure relate to dynamic model configuration and execution. A computing platform may receive first model data comprising first model execution configuration data and first model output configuration data. The computing platform may generate a first model based on the first model execution configuration data. The computing platform may distribute, to a plurality of computing platforms, the first model, the first model execution configuration data, and the first model output configuration data. The computing platform may receive a second request to execute one or more models from a third computing platform. The computing platform may receive, from the third computing platform, first model execution data. The computing platform may execute the first model based on the first model execution data and the first model execution configuration data to generate a first model output score.

Abstract: Aspects of the disclosure relate to dynamic model configuration and execution. A computing platform may receive first model data comprising first model execution configuration data and first model output configuration data. The computing platform may generate a first model based on the first model execution configuration data. The computing platform may distribute, to a plurality of computing platforms, the first model, the first model execution configuration data, and the first model output configuration data. The computing platform may receive a second request to execute one or more models from a third computing platform. The computing platform may receive, from the third computing platform, first model execution data. The computing platform may execute the first model based on the first model execution data and the first model execution configuration data to generate a first model output score.

Abstract: Aspects of the disclosure relate to dynamic model configuration and execution. A computing platform may receive first model data comprising first model execution configuration data and first model output configuration data. The computing platform may generate a first model based on the first model execution configuration data. The computing platform may distribute, to a plurality of computing platforms, the first model, the first model execution configuration data, and the first model output configuration data. The computing platform may receive a second request to execute one or more models from a third computing platform. The computing platform may receive, from the third computing platform, first model execution data. The computing platform may execute the first model based on the first model execution data and the first model execution configuration data to generate a first model output score.

Abstract: Aspects of the disclosure relate to dynamic model configuration and execution. A computing platform may receive first model data comprising first model execution configuration data and first model output configuration data. The computing platform may generate a first model based on the first model execution configuration data. The computing platform may distribute, to a plurality of computing platforms, the first model, the first model execution configuration data, and the first model output configuration data. The computing platform may receive a second request to execute one or more models from a third computing platform. The computing platform may receive, from the third computing platform, first model execution data. The computing platform may execute the first model based on the first model execution data and the first model execution configuration data to generate a first model output score.

Abstract: Methods, systems, and devices for determining construction data for producing a forming die are provided. Using an electronic computing device, a simulation is carried out that includes moving die parts of a die toward each other to a closed position, reshaping a workpiece reshaping a workpiece from an initial state to a first deformed state due to the moving of the die parts to the closed position, keeping the die parts at least temporarily in the closed state to maintain the workpiece in the first deformed state, moving the die parts away from each other to an open position, and deforming the workpiece to a second deformed state from the first deformed state due to internal stresses of the workpiece and due to moving of the die parts to the open position. A geometry of a new die part that influences the reshaping is determined.

Abstract: Aspects of the disclosure relate to dynamic model configuration and execution. A computing platform may receive first model data comprising first model execution configuration data and first model output configuration data. The computing platform may generate a first model based on the first model execution configuration data. The computing platform may distribute, to a plurality of computing platforms, the first model, the first model execution configuration data, and the first model output configuration data. The computing platform may receive a second request to execute one or more models from a third computing platform. The computing platform may receive, from the third computing platform, first model execution data. The computing platform may execute the first model based on the first model execution data and the first model execution configuration data to generate a first model output score.

Abstract: An apparatus for predicting and/or reducing a deformation of an assembly brought about during production of a weld seam that connects a first component and a second component of the assembly includes a device that is configured to determine and/or provide a finite element (FE) model of the assembly where the FE model includes a set of FEs for the weld seam and a set of FEs for the first component and the second component. The device is further configured to induce a spatial contraction of the set of FEs for the weld seam, determine an effect of the spatial contraction on the set of FEs for the first component and/or the second component, and predict a spatial deformation of the first component and/or of the second component on a basis of the effect on the set of FEs for the first component and/or the second component.

Abstract: A pulse generator with adjustable pulse frequency, pulse width and pulse delay contains a start-stop oscillator (1) whose oscillator pulses are counted by a counter (2) in adjustable counting cycles. After each counting cycle, the oscillator (1) is shut down for an adjustable time interval. The pulses of the output signal of the pulse generator are produced at the occurrence of a predetermined count value, and the end of these pulses is essentially determined by a second predetermined count value. As the oscillator (1) has a fixed operating frequency and for the purpose of frequency interpolation is periodically shut down during short time intervals and then restarted, a pulse generator is obtained having very small frequency deviations over a wide frequency spectrum.