Abstract: There are disclosed systems and methods for managing object configurations within a structure. For one embodiment, a fixed object profile including dimensions and locations of ventilation of a building space and a non-fixed object profile including dimensions and a location of a non-fixed object are identified. One or more contaminant risk locations of the building space are determined in response to determining the air flow within the building space associated with an HVAC unit. The air flow is determined based on incoming air flow streams to the building space and outgoing air flow streams away from the building space. One or more object positions are provided at an output device based on the contaminant risk location(s). For another embodiment, the contaminant risk location(s) are selected from possible people locations. A person position is displayed at an output device, in proximity to the building space, based on the contaminant risk location(s).

Abstract: A system and method for accelerating topology optimization of a design includes a topology optimization module configured to determine state variables of the topology using a two-scale topology optimization using design variables for a coarse-scale mesh and a fine-scale mesh for a number of optimization steps. A machine learning module includes a fully connected deep neural network having a tunable number of hidden layers configured to execute an initial training of a machine learning-based model using the history data, determine a predicted sensitivity value related to the design variables using the trained machine learning model, execute an online update of the machine learning-based model using updated history data, and update the design variables based on the predicted sensitivity value. The model predictions reduce the number of two-scale optimizations for each optimization step to occur only for initial training and for online model updates.

Abstract: Disclosed is a method of displaying a user interface, the method includes defining a template for the user interface, the template including a plurality of display areas, defining a plurality of components, each of the components configured to perform an associated user interface function, each of the plurality of components being associated with one of the display areas, defining a plurality of states, each of the plurality of states including one or more of the plurality of components, each of the plurality of states defining a configuration of the user interface, defining a table, the table defining a plurality events associated with transitioning between states; and triggering a transition between states based on look-up of the table with a received event.

Abstract: Additive manufacturing methods and corresponding systems and computer-readable mediums. A method includes receiving, by a data processing system, a three-dimensional (3D) model of a product to be manufactured by additive manufacturing. The method includes generating, by the data processing system, a time-based heat map of temperatures of the product during manufacture. The method includes identifying, by the data processing system, hot spots in the heat map where the temperature exceeds a first predetermined threshold. The method includes adding, by the data processing system, heatsink support structures to the 3D model at locations corresponding to the hot spots to produce a modified 3D model. The method includes storing, by the data processing system, the modified 3D model.

Abstract: Additive manufacturing methods and corresponding systems and computer-readable mediums. A method includes receiving, by a data processing system, a three-dimensional (3D) model of a product to be manufactured by additive manufacturing. The method includes generating, by the data processing system, a time-based heat map of temperatures of the product during manufacture. The method includes identifying, by the data processing system, hot spots in the heat map where the temperature exceeds a first predetermined threshold. The method includes adding, by the data processing system, heatsink support structures to the 3D model at locations corresponding to the hot spots to produce a modified 3D model. The method includes storing, by the data processing system, the modified 3D model.

Abstract: A system and method are provided for adaptive domain reduction for thermo-structural simulation of an additive manufacturing process. The system may include a processor configured to carry out a simulation of a part being additively produced according to a set of tool paths. The simulation may include determining an original mesh of the part; determining an order of the elements of the original mesh to deposit; and simulating an incremental deposit of each of the elements of the original mesh for a material in the order that the elements are determined to be deposited. For each incremental deposit of an additional respective element the processor may determine thermal characteristics and structural deformation characteristics of the deposited elements.

Abstract: A system and method are provided for adaptive domain reduction for thermo-structural simulation of an additive manufacturing process. The system may include a processor configured to carry out a simulation of a part being additively produced according to a set of tool paths. The simulation may include determining an original mesh of the part; determining an order of the elements of the original mesh to deposit; and simulating an incremental deposit of each of the elements of the original mesh for a material in the order that the elements are determined to be deposited. For each incremental deposit of an additional respective element the processor may determine thermal characteristics and structural deformation characteristics of the deposited elements.

Abstract: A system includes a meshing module, one or more physics solvers, one or more sensitivity computation modules, and one or more optimizer modules. The meshing module generates a mesh of a design domain corresponding to an object to be manufactured. The physics solvers each generate physical field variables and objective values based on the mesh and boundary conditions specified on solid-void boundaries of the design domain. The sensitivity computation modules compute a sensitivity field based on the mesh and the physical field variables. The optimizer modules generate an updated design comprising new design variables by executing an optimization of the design domain based on the sensitivity field and the objective values. The physics solvers, the sensitivity computation modules, and the optimizer modules are iteratively executed until convergence to generate a final design based on the new design variables generated by the optimizer modules.

Abstract: A system and method is provided for facilitate lattice structure design for additive manufacturing carried out through operation of at least one processor. The processor may be configured via executable instructions included in at least one memory to receive a three dimensional (3D) model of an object. The processor may also receive effective mechanical properties for at least a portion of the 3D model to be filled by a lattice producible by a 3D printer configured to produce the object. In addition the processor may determine lattice design parameters based on the received effective mechanical properties for the portion of the design. Or in the opposite direction, the processor may determine the effective mechanical properties based on the lattice design parameter. Further, the processor may modify the 3D model to include the lattice having the determined lattice design parameters for the portion of the 3D model.

Abstract: A method and system is provided for computer-aided simulation of multi-layer selective laser sintering and melting in an additive manufacturing processes. The method may include receiving a solid model. The method may also include slicing the solid model geometry along a build direction and creating 3D meshes that represent manufacturing layers. In addition, the method may include simulating manufacture of each of the 3D meshes to produce corresponding deformed 3D meshes. Further, the method may include building a 3D mesh model from the deformed 3D meshes and displaying the 3D mesh model.

Abstract: Methods for computer-aided simulation of multi-layer selective laser sintering and melting additive manufacturing processes and corresponding systems and computer-readable mediums. A method includes receiving a solid model. The method includes slicing the solid model geometry along a build direction and creating 3D meshes that represent manufacturing layers. The method includes simulating manufacture of each of the 3D meshes to produce corresponding deformed 3D meshes. The method includes building a 3D mesh model from the deformed 3D meshes. The method includes displaying the 3D mesh model.

Abstract: Disclosed is a method of displaying a user interface, the method includes defining a template for the user interface, the template including a plurality of display areas, defining a plurality of components, each of the components configured to perform an associated user interface function, each of the plurality of components being associated with one of the display areas, defining a plurality of states, each of the plurality of states including one or more of the plurality of components, each of the plurality of states defining a configuration of the user interface, defining a table, the table defining a plurality events associated with transitioning between states; and triggering a transition between states based on look-up of the table with a received event.