Abstract: A method, computer system, and a computer program product for object modeling is provided. The present invention may include generating a temporary modeling structure based on at least a digital model and one or more printing preferences. The present invention may include sending printing instructions to a 3D printer based on the temporary modeling structure. The present invention may include receiving feedback from a sensory based system, the sensory based system monitoring a printing chamber of the 3D printer. The present invention may include updating the printing instructions based on an analysis of the feedback of the feedback received from the sensory based system.

Abstract: A device may obtain measurement data concerning a three-dimensional (3D) printed object, where the 3D printed object has a plurality of physical elements that comprise a plurality of different physical attributes, and where the plurality of physical elements and the plurality of different physical attributes are designed to exhibit one or more printing capabilities of a 3D printer that printed the 3D printed object. The device may process the measurement data to determine one or more printing anomalies relating to one or more physical elements, of the plurality of physical elements, and one or more physical attributes of the plurality of different physical attributes. The device may generate a set of instructions to permit the 3D printer to be adjusted to address the one or more printing anomalies, and may cause an action to be performed based on generating the set of instructions.

Abstract: A control system estimates a numerical value range within which a command value can fall from a distribution of second data relating to the command value in a learning data set used to construct a prediction model, and in such a manner that a first acceptable range prescribed by a preset first threshold value with respect to a command value for a subject device is extended, decides a second threshold value with respect to the command value for the subject device on the basis of the estimated numerical value range. Further, in an operational phase, on the basis of an output value from the prediction model, the control system decides a command value for the subject device within a second acceptable range prescribed by the decided second threshold value, and controls an operation of the subject device on the basis of the decided command value.

Abstract: In one embodiment, a method for maintaining a threshold operating temperature in an information handling system includes: identifying an operating temperature associated with the information handling system; determining a first fan speed associated with one or more fans of the information handling system based on the operating temperature; causing the one or more fans to rotate based on the first fan speed; identifying that the operating temperature has increased to reach the threshold operating temperature; and in response to identifying that the operating temperature has increased to reach the threshold operating temperature: identifying a power consumption level associated with the information handling system; determining a second fan speed associated with the one or more fans based on the power consumption level; and causing the one or more fans to rotate based on the second fan speed.

Abstract: A collection of camera-based monitoring sub-systems can be added to a composite-based additive manufacturing (CBAM) system to autonomously inspect the integrity of each layer and remediate issues in real time. Cameras are located at various stations throughout the process. Resulting images are analyzed to see if processed pages are within tolerance based on comparison with models. Cameras can be placed at the print platen, on a rear conveyor that conveys powdered pages to the stacker and in the stacker itself to make sure pages are stacked and aligned properly. The present invention provides quality assurance and quality control to validate the build process at the layer level. This reduces the amount of post-build labor to perform, and since it shows data internal to the part, it dramatically reduces the amount of destructive testing required.

Abstract: A method and a device for acquiring a volume of a structure, a non-transitory computer-readable storage medium, and a printer are provided. The method includes for a model placed on a specified plane, determining at least one reference plane in a direction parallel to the specified plane. The method also includes for the at least one reference plane, obtaining at least one vertical projection area by acquiring a vertical projection area of the model above each reference plane projected on a corresponding reference plane. Further, the method includes according to the at least one vertical projection area, obtaining a total volume; and according to the total volume and a volume of the model, obtaining the volume of the supporting structure of the model.

Abstract: Apparatus and methods for additive manufacturing with variable extruder profiles are described herein. An extruder print head with multiple nozzles placed at different angles allows for additional degrees of freedom to additively manufacture parts with complex shapes. In addition with the use of shape memory alloy materials, the diameter of one or more nozzles can be adjusted during the additive manufacturing process. This allows for independent control of the build resolution and of the build rate.

Abstract: An analytics engine is provided for industrial automation applications. The engine may be modular, and may be instantiated upon receipt of a data structure, such as containing annotated data from or relating to a monitored and/or controlled machine or process. The module may be data-driven so that it is instantiated only as needed, upon receipt of the input data structure. The module then carries out analysis on the data, and outputs a data structure that can be used for further analysis, or directly by other modules for modeling, classification, optimization and/or control.

Abstract: Provided is a system, method, and computer program product for generating a three-dimensional (3D) printable file of a complete object by re-assembling pieces of a broken object using generative adversarial network techniques. A processor may generate a 3D scan of each piece of a plurality of pieces of a broken object. The processor may assemble the 3D scan of each piece of the plurality of pieces to generate a re-assembled object, where the re-assembled object includes one or more gaps. The processor may fill the one or more gaps in the re-assembled object to create a complete object. The processor may generate a 3D printable file of the complete object.

Abstract: In one example, a 3D printing system includes a support structure generator to identify a breakaway support to temporarily support part of the object, to design a wedge shaped groove between a portion of the object and the support, the groove ending at a line along which the support intersects the object, and to generate a digital object model that includes the support and the groove. The system also includes a 3D printer to print the object, support and groove based on the object model.

Abstract: Various embodiments of the teachings herein include an apparatus for identifying a smoke event in an electron beam melting installation comprising: a current meter measuring a grounding current; and a processor programmed to identify a smoke event by evaluating the grounding current.

Abstract: A system for interactively designing a support structure for a three-dimensionally printed object having user-defined surface quality, the system including a processor and a non-transitory computer-readable medium communicatively coupled to the processor and storing instructions executable by the processor is provided. When executed, the instructions cause the processor perform operations including receiving a digital model of the object to be three-dimensionally printed, receiving user input related to a desired surface quality at one or more portions of the digital model, determining a printing orientation of the object based on the digital model and the user input; determining a support layout for the object, based on the printing orientation and the user input, and transmitting the support layout, the printing orientation, and the digital model to a three-dimensional printer.

Abstract: Methods and devices for additive manufacturing of workpieces are provided. For analysis during production, a test is carried out using a selected test method. The test results are compared with simulated test results derived during a simulation of the manufacturing and testing. The test may use one or more of a laser ultrasound test unit, an electronic laser speckle interferometry test unit, an infrared thermography test unit, or an x-ray test unit.

Abstract: The disclosure notably relates to a computer-implemented method for designing a part by topology optimization. The method comprises defining a working volume for the optimization of the part and at least one boundary condition applied to the part, computing a vector field over the working volume, each vector of the field representing an optimal direction and a quantity of material corresponding to satisfy the at least one boundary condition, computing a set of flow lines by propagating from starting points in the vector field. For each flow line of the set, an element for the primary structure of the part is computed and a secondary structure of the part linking the set of primary as well as the secondary structure elements together is computed.

Abstract: A computing system includes a target device to be cooled, a fan unit, a storage device storing a first portion and a second portion of firmware, and a baseboard management controller (BMC). In the firmware, only the first portion is related to heat-dissipation control. The BMC executes the firmware for monitoring the target device, generating a monitoring report for the target device, and controlling the rotational speed of the fan unit based on the monitoring report thus generated and on cooling parameters and cooling algorithms stored in the first portion of the firmware.

Abstract: The current disclosure describes techniques for managing vertical alignment or overlay in semiconductor manufacturing using machine learning. Alignments of interconnection features in a fan-out WLP process are evaluated and managed through the disclosed techniques. Big data and neural networks system are used to correlate the overlay error source factors with overlay metrology categories. The overlay error source factors include tool related overlay source factors, wafer or die related overlay source factors and processing context related overlay error source factors.

Abstract: A system includes a memory module configured to store a computer model of a part for manufacturing with an additive manufacturing machine, and a processor communicatively coupled to the memory module. The processor is configured to receive the computer model, discretize the computer model into a mesh, predict a deformation behavior the plurality of nodes of the mesh under a simulated sintering process, determine a buckling factor for the part based on the predicted deformation behavior of the mesh, determine whether the buckling factor exceeds a threshold, in response to determining that the buckling factor exceeds the threshold, export the computer model to the additive manufacturing machine for pre-build processing, and in response to determining that the buckling factor does not exceeds the threshold, output, to a display of the system, at least one of an alert that the part is unstable or the buckling factor.

Abstract: A method for predicting when energy consumption will exceed normal production capacity for buildings including generating data sets for each of the buildings, where energy consumption values within each set are shifted by one of a plurality of lag values relative to time and temperature values, and where each lag value is different; performing a regression model analysis on each set to yield corresponding regression model parameters and a corresponding residual; determining a least valued residual indicating a corresponding energy lag for each of the buildings; using outside temperatures, regression model parameters, and energy lags for all of the buildings to estimate a cumulative energy consumption for the buildings, and to predict the time when energy consumption will exceed normal production capacity; and receiving the time when energy consumption will exceed normal production capacity, and preparing and commencing exceptional measures required to manage the energy consumption.

Abstract: An information handling system may detect fan blockage for one or more fans using a target value such as the rotational rate of a fan or a duty cycle value of the pulse width modulation (PWM) signal for a fan, and a monitored value includes at least the other one of the rotational rate of the fan or the duty cycle value of the PWM signal for the fan. The information handling system may determine whether either the duty cycle value of the PWM signal for a fan or the rotational rate of the fan meets or crosses a threshold value. The threshold value, for example, may include an intake blocking warning limit or a rotational rate limit. The information handling system may then generate a notification to the user, such as a re-positioning notification. The methods described or illustrated may be entirely implemented in an embedded controller.

Abstract: A method of making a three-dimensional object from an object geometry data file that includes (a) slicing said object geometry data file to produce a rasterized image sequence file; (b) generating a signed distance field from said object geometry data file; (c) selecting, from a library of procedural texture functions, a procedural texture function defining a continuous internal or external set of features; (d) modifying said rasterized image sequence to include said internal or external set of features based on said signed distance field to thereby produce a modified image sequence file; and then (e) producing said three-dimensional object by additive manufacturing from said modified image sequence file, said three-dimensional object having said selected internal feature included therein and/or external feature included thereon.