Abstract: A search apparatus includes a processor and a memory. The processor receives a molding result of a reference sample manufactured by the additive manufacturing apparatus. The processor calculates predicted values from a predictive model. The processor determines whether the evaluation target values are achieved by the measured values. The reference sample has at least three smooth surfaces and a surface having aggregated punched holes formed by straight lines and curved lines that are involved in three types of regions to be set as the conditions.

Abstract: A method and a device for simulating a machining process of a workpiece on an NC-controlled machine tool by means of a self-learning artificial neural network. Process parameters both from a machining process on a real machine tool located in a manufacturing section and a digital machine model implemented in a simulation section are provided to the artificial neural network to learn the behavior of the machine tool including the tools and workpieces used and are reformatted into input parameters by means of mathematical transformation. By learning the behavior of the machining process, the artificial neural network ca, send output files back to the simulation software of the simulation section and optimally adapt the behavior of the digital machine model to the conditions of the real machine tool by adapting the simulation parameters and make it more efficient in order to optimize the machining process on the machine tool.

Abstract: A damper system is configured for installation in ductwork including a duct supplying conditioned air through a register boot to a register vent. A damper is movable between a closed position and an open position. A control module includes a control module housing, a controller, a power supply and a transceiver. The controller monitors a remaining energy level of the power supply and transmits a first low battery message via the transceiver when the remaining energy level drops to a first energy threshold. The controller instructs the damper assembly to move to a predetermined position and to transmit a second low battery message via the transceiver when the remaining energy level drops to a second energy threshold.

Abstract: A control module configured to control operation of a damper assembly includes an air damper configured to be disposed within an air duct and movable between an open end position and a closed end position, the air duct providing conditioned air to a register boot proximate the air duct. The control module includes a control module housing that is securable to the register boot. A controller is disposed within the control module housing and is configured to generate damper position control signals, the controller providing the damper position control signals to the damper assembly via a control cable that operably couples the control module with the damper assembly. An antenna extends from the control module housing and is operably coupled to the controller, and is configured to extend through an opening formed within a wall of the register boot to be positioned exterior to the register boot.

Abstract: Provided herein are methods, apparatuses, and non-transitory computer readable media concerning quality assurance of three-dimensional object(s) and their formation. In some embodiments, a plurality of variables is considered in assessing performance of a manufacturing mechanism (e.g., printer) utilized in forming the three-dimensional object(s). In some embodiments, a plurality of variables is considered in assessing a process for forming the three-dimensional object(s). In some embodiments, a plurality of variables is considered in assessing a quality of the formed three-dimensional object(s).

Abstract: A custom bleaching tray or device with trench and material pocket/reservoir is disclosed. The device comprises a trench to avoid leakage of bleaching material onto the gingiva and a reservoir to precisely hold the bleaching material on the surface of the tooth. A method for forming a 3D-printed custom bleaching tray may include: providing or accessing teeth scan data associated with a patent's mouth; generating a digital model of the patient's mouth based on the teeth scan data, including manipulating the teeth scan data to form: a trench between one or more teeth and a gingiva region of the teeth scan data, and a bleaching material reservoir on a surface of each of the one or more teeth of the teeth scan data; and 3D-printing, based on the digital model, a 3D-printed bleaching tray. A thermoforming process may be applied to the 3D-printed bleaching tray.

Abstract: In an example a tangible machine-readable medium stores instructions which, when executed by a processor, cause the processor to determine an object generation arrangement for additive manufacturing based on a separation distance between objects, wherein the separation distance varies based on an intended location of object generation.

Abstract: The embodiment of the present disclosure provides an Industrial Internet of Things system for inspection operation management of an inspection robot and a method thereof. The system includes a user platform, a service platform, a management platform, a sensor network platform, and an object platform that are interacted sequentially from top to bottom. The management platform is configured to perform operations including: determining an inspection task, the inspection task including detecting at least one detection site; sending instructions to an inspection robot based on the inspection task to move the inspection robot to a target position to be inspected; obtaining detection data based on the inspection robot, and determining subsequent detection or processing operations based on the detection data.

Abstract: A control method includes: calculating a correction value after a predetermined process is executed; and controlling a control target based on an output value of at least one of a real sensor and a virtual sensor during execution of the predetermined process. The calculating includes correcting an output value of the virtual sensor. The controlling includes: controlling the control target based on an output value of the real sensor while monitoring a failure of the real sensor; correcting an output value of the virtual sensor with the correction value when the real sensor fails; and switching from a control based on the output value of the real sensor to a control based on the output value of the virtual sensor after the correcting the output value of the virtual sensor.

Abstract: Methods and systems include ways to implement change analysis of an automated production line including at least one robot. Monitoring a plurality of operating parameters associated with the automated production line including the at least one robot is followed by recording at least one change to the plurality of operating parameters. A notification is then provided identifying the at least one change to the plurality of operating parameters. The notification can include mapping the at least one change onto a graphical representation of the automated production line, thereby identifying a portion of the automated production line affected by the at least one change. As a result, at least one of the operating parameters can be adjusted in response to the notification. An action can also be performed in response to the notification. In this manner, the change analysis can optimize operation of the automated production line.

Abstract: In this disclosure, the energy management problem of the D-IEGS with FFR is analyzed, so as to enhance the frequency stability of the main grid. The post-disturbance frequency response behaviors of both the main grid and the D-IEGS are precisely depicted, where the dead zones, limiting ranges and time constant of the governors are considered. The frequency regulation units of the D-IEGS include GTs and P2G units, whose impacts of providing frequency regulation service on the gas networks are quantified. Considering the time-scale similarity of the frequency dynamics and the dynamics of the GDN, the gas flow dynamics model is adopted. The frequency response dynamics of the GTs and P2G units, and the gas flow dynamics of the GDN, a variable-step difference scheme and a binary variable reduction method are devised.

Abstract: This document describes a system and method for selectively switching the fast-wet-etching direction of crystalline silicon, c-Si, nanostructures between the (100) and the (110) crystallographic planes of c-Si by a simple method of sample agitation. This method effectively allows the invention to achieve anisotropic and isotropic wet-etching of c-Si.

Abstract: A method may include obtaining acquired process data regarding a plant process that is performed by a plant system. The method may further include obtaining from a process model, simulated process data regarding the plant process. The method may further include determining drift data for the process model based on a difference between the acquired process data and the simulated process data. The drift data may correspond to an amount of model drift associated with the process model. The method may further include determining whether the drift data satisfies a predetermined criterion. The method further includes determining, in response to determining that the drift data fails to satisfy the predetermined criterion, a model update for the process model.

Abstract: An apparatus for printing an energy balance formulation, wherein the apparatus includes at least a processor and a memory communicatively connected to the at least a processor, the memory containing instructions configuring the at least a processor to receive an energy quantifier related to a user and generate an energy rebalancing plan wherein the energy rebalancing plan identifies an energy balance formulation includes training a machine-learning process using energy training data, wherein the energy training data contains a plurality of inputs containing energy quantifiers correlated to a plurality of outputs containing energy rebalancing plans. The memory containing instructions further configuring the processor to generate the energy rebalancing plan as a function of the machine-learning process and the energy quantifier. The memory containing instructions further configuring the additive manufacturing device to print the energy balance formulation based on the energy rebalancing plan.

Abstract: A 3D printing and assembly system includes a 3D printer having a build volume; a robotic arm configured to access both within the build volume and outside of the printer. The printing and assembly system and a 3D computer hardware system are connected to both the printer and the robotic arm. An assistive object outside of build volume and accessible by robotic arm is identified. A 3D object assembly to be generated by the printer is identified. The assistive object and the object assembly is real-time analyzed, using the computer hardware system, to generate interdependent sequential instructions for the printer and the robotic arm. The already-generated object is positioned within the build volume using the robotic arm with the sequential instructions for the robotic arm. The object assembly is 3D printed by 3D printing around the already-generated object using the sequential instructions for the 3D printer.

Abstract: The present disclosure provides a method and an Internet of Things system for regulating a gas in-home pressure based on smart gas. The method includes: determining a gas in-home pressure regulation scheme, and the gas in-home pressure regulation scheme including a pressure regulation parameter of a gas device; generating, based on the gas in-home pressure regulation scheme, a pressure regulation instruction; regulating, based on the pressure regulation instruction, a gas in-home pressure of at least one floor; and transmitting the gas in-home pressure regulation scheme to a smart gas user terminal.

Abstract: A method of producing a component part (202, 204) of an aircraft airframe (200), the method comprising: providing a first digital model, the first digital model being a digital model of the component part (202, 204); producing an initial physical part using the first digital model; measuring a surface of the initial physical part; creating a second digital model using the measurements of the surface of the initial physical part, the second digital model being a digital model of the initial physical part; specifying one or more fastener holes (606) in the second digital model; and drilling one or more fastener holes (606) in the initial physical part using the second digital model with the one or more fastener holes specified therein, thereby producing the component part (202, 204) of an aircraft airframe (200).

Abstract: A method includes identifying a recipe for depositing layers on a substrate in a processing chamber of a substrate processing system. The recipe comprises iterations of a set of one or more processes, and wherein each iteration of the iterations is for depositing at least one layer of the layers. The method further includes determining changes to parameters for depositing the at least one layer on the substrate. Each of the changes corresponds to a respective iteration of the iterations and is associated with a relative position of a corresponding layer. The layers are to be deposited on one or more substrates based on the recipe and the changes.

Abstract: An aggregated distribution system includes an HVAC controller, a battery controller, and an aggregated data management engine. The aggregated data management engine is configured to retrieve an HVAC energy usage profile and retrieve a battery energy usage profile. The aggregated distribution system also includes distribution engine configured to forward a first set of HVAC dual variables and forward a first set of battery dual variables to a first neighboring unit of the aggregated distribution system, receive one or more additional sets of HVAC dual variables and one or more additional sets of battery dual variables from one or more neighboring units of the aggregated distribution system, update the HVAC energy usage profile with the one or more additional sets of HVAC dual vehicles and update the battery energy usage profile with the one or more additional sets of battery dual vehicles.

Abstract: A non-transitory computer-readable medium includes instructions that, when executed by processing circuitry, are configured to cause the processing circuitry to receive sensory datasets associated with an industrial automation system from sensors, receive positioning data via an extended reality device associated with a user, determine a first virtual positioning of the user in a virtual coordinate system based on the positioning data, determine a second virtual positioning of an industrial automation system in the virtual coordinate system based on the sensory datasets, determine output representative data to be presented by the extended reality device based on the plurality of sensory datasets and in accordance to the first virtual positioning relative to the second virtual positioning, and instruct the extended reality device to present the output representative data.