A method of three-dimensional fabrication of an object is disclosed. The method comprises: forming a plurality of layers in a configured pattern corresponding to the shape of the three-dimensional object, at least one layer of the plurality of layers being formed at a predetermined and different thickness selected so as to compensate for post-formation shrinkage of the layer along a vertical direction. In various exemplary embodiments of the invention spread of building material of one or more layers is diluted at least locally such as to maintain a predetermined thickness and a predetermined planar resolution for the layer.

A work center for automated subtractive machining includes machine frame components, material and parts handling components, control components, and communications components. The machine frame components may include a fixturing system, a CNC, a column, a spindle, and a cutting tool. The material and parts handling components may include material handling robotics, machined part handling robotics, material viewing, machined part viewing, and racks for stock materials, tools, and finished parts. The control components may include robotics controllers, viewer controllers, fixturing control, and an interactive process plan automation control (IPPAC). The IPPAC may include process planning/editing hardware & software, process control hardware & software, a device command interpreter, CAM hardware & software, SCADA hardware & software, which may include SCADA supervisory control and/or SCADA data acquisition components, database hardware & software, and communications hardware & software.

The invention is directed to maintaining the accuracy in the positional adjustment of a stationary part while shortening a turbine assembly period through the omission of the temporary assembly of a casing. A method of assembling includes gaining measurement data on the configuration of a casing upper half part not fastened to a casing lower half part; gaining measurement data on the configuration of the casing lower half part in an open state in which the casing upper half part and a rotor are removed and in which a stationary part is mounted; comparing measurement data on the configuration of the casing upper half part and the casing lower half part with simulation data on the configuration of the casing upper half part and the casing lower half part previously obtained to select simulation data closest to the measurement data on the configuration of the casing upper half part and the casing lower half part; calculating, based on the selected simulation data, a change amount of the configuration of the casing upper half part and the casing lower half part when the casing upper half part is fastened to the casing lower half part in the open state; and adjusting the installation position of the stationary part inside the casing taking into account the calculated change amount.

The system and method described below allow for real-time control over positioning of a micro-object. A movement of at least one micro-object suspended in a medium can be induced by a generation of one or more forces by electrodes proximate to the micro-object. Prior to inducing the movement, a simulation is used to develop a model describing a parameter of an interaction between each of the electrodes and the micro-object. A function describing the forces generated by an electrode and an extent of the movement induced due to the forces is generated using the model. The function is used to design closed loop policy control scheme for moving the micro-object towards a desired position. The position of the micro-object is tracked and taken into account when generating control signals in the scheme.

Systems and methods are used to determine a defined fastener for fastening two parts together at an assembly fastener location. The defined fastener comprises fastener components selected from a plurality of different fastener components available for use in an assembled fastener. The fastener components of the defined fastener may be selected based on criteria defining characteristics of an assembly stackup including the two parts and the assembled defined fastener. Dimensions of the two parts at respective fastener locations forming the assembly fastener location may be used to determine a part stackup dimension for the assembled fastener at the assembly fastener location.

A method of three-dimensional fabrication of an object is disclosed. The method comprises: forming a plurality of layers in a configured pattern corresponding to the shape of the three-dimensional object, at least one layer of the plurality of layers being formed at a predetermined and different thickness selected so as to compensate for post-formation shrinkage of the layer along a vertical direction. In various exemplary embodiments of the invention spread of building material of one or more layers is diluted at least locally such as to maintain a predetermined thickness and a predetermined planar resolution for the layer.

The present disclosure relates to a simulation apparatus for secondary battery production. The simulation apparatus for secondary battery production comprises a memory configured to store at least one instruction and at least one processor configured to execute the at least one instruction stored in the memory to perform operations including: receiving information related to a user account of a user who uses a simulation apparatus related to secondary battery production; executing an apparatus operating unit including a 3D coater related to secondary battery production, a facility operating unit including a plurality of adjustment parameters for determining operation of the 3D coater, and a quality checking unit including quality information related to quality of a material produced by the 3D coater when information related to the user account is received.

A Multi-Purpose Dynamic Simulation and run-time Control platform includes a virtual process environment coupled to a physical process environment, where components/nodes of the virtual and physical process environments cooperate to dynamically perform run-time process control of an industrial process plant and/or simulations thereof. Virtual components may include virtual run-time nodes and/or simulated nodes. The MPDSC includes an I/O Switch which delivers I/O data between virtual and/or physical nodes, e.g., by using publish/subscribe mechanisms, thereby virtualizing physical I/O process data delivery. Nodes serviced by the I/O Switch may include respective component behavior modules that are unaware as to whether or not they are being utilized on a virtual or physical node. Simulations may be performed in real-time and even in conjunction with run-time operations of the plant, and/or simulations may be manipulated as desired (speed, values, administration, etc.). The platform simultaneously supports simulation and run-time operations and interactions/intersections therebetween.

Systems and methods for implementing an economic model predictive control (EMPC) strategy in any resource-based system include an EMPC tool. The EMPC tool is configured to present user interfaces to a client device. The EMPC tool is further configured to receive first user input including resources and subplants associated with a central plant. The EMPC tool is also configured to receive second user input including sinks and connections between central plant equipment. The EMPC tool also includes a data model extender configured to extend a data model to define new entities and/or relationships specified by user input. The EMPC tool also includes a high level EMPC algorithm configured to generate an optimization problem and an asset allocator configured to solve the resource optimization problem in order to determine optimal control decisions used to operate the central plant.

A method of producing a heat exchanger includes designing the heat exchanger to include a wall with a target thickness. A model is created relating process parameters to geometry of a single track melt pool and relating the single track melt pool geometry to a heat exchanger wall thickness. At least one variable process parameter is defined. The model, heat exchanger wall target thickness, and variable process parameters are used to identify a set of process parameters to produce the heat exchanger wall target thickness. The melt pool geometry is predicted based on the model and process parameters. The heat exchanger wall target thickness is predicted based on the melt pool geometry. The process parameters that will produce the heat exchanger wall target thickness are identified. The additive manufacturing process is controlled based upon the identified set of process parameters to create the heat exchanger wall target thickness.