Patent classifications
G06F111/10
Method and apparatus for providing pre-manufacturing feedback on the design of an object to be formed through solidification of a fluid in a mold
A computer-implemented method, computer program, system and apparatus for computing a thermal thickness and providing pre-manufacturing feedback on a design of a three-dimensional physical object that is to be formed by solidification of a fluid in a mold. An equation is solved, representing heat release through the cavity-mold interface when the object is formed. The thermal thickness and its uniformity provide insight in the manufacturability of the object, and may be used to automatically generate pre-manufacturing feedback. The thermal thickness and pre-manufacturing feedback are transmitted or displayed to a user.
Methods and systems for component-based reduced order modeling for industrial-scale structural digital twins
A method for maintaining a physical asset based on recommendations generated by analyzing operational data and a composite model of a plurality of models representing the physical asset includes constructing, by a computing device, using a port-reduced static condensation reduced basis element approximation of at least a portion of a partial differential equation, the composite model. The computing device analyzes an error indicator associated with at least one model within the composite model to determine that the error indicator exceeds a tolerance level and increases a number of basis functions in the port-reduced static condensation reduced basis element approximation accordingly. The computing device receives first operational data associated with at least one region of the physical asset and updates the composite model. The computing device provides a recommendation for maintaining the physical asset, based upon the updated composite model.
Three-dimensional road geometry estimation
A system and method including identifying lane line data associated with a road within the sensor data; modelling a geometry of the road as a sequence of road segments, each road segment being defined by parameters including a curvature rate and a road grade rate; generating, based on a mathematical representation of the modelled road geometry, an approximation of each road segment; and generating, based on the generated approximation of each road segment, a three-dimensional representation of the road including the sequence of segments.
Systems and methods for utilizing a 3D CAD point-cloud to automatically create a fluid model
A multiple fluid model tool for utilizing a 3D CAD point-cloud to automatically create a fluid model is presented. For example, a system includes a modeling component, a machine learning component, and a three-dimensional design component. The modeling component generates a three-dimensional model of a mechanical device based on point cloud data indicative of information for a set of data values associated with a three-dimensional coordinate system. The machine learning component predicts one or more characteristics of the mechanical device based on input data and a machine learning process associated with the three-dimensional model. The three-dimensional design component that provides a three-dimensional design environment associated with the three-dimensional model. The three-dimensional design environment renders physics modeling data of the mechanical device based on the input data and the one or more characteristics of the mechanical device on the three-dimensional model.
Parameter sensing and computer modeling for gas delivery health monitoring
A method includes receiving measurement data from multiple sensors positioned along a delivery line that delivers a liquid as a gas to one of a gas panel or a processing chamber; simulating, using a computer-generated model, one or more process parameters associated with the delivery line and a plurality of heater jackets positioned around the delivery line; comparing the measurement data with values of the one or more process parameters; and determining, based on at least a threshold deviation between the measurement data and the values of the one or more process parameters, that a fault exists that is associated with maintaining temperature within the delivery line consistent with a gaseous state of the liquid.
Autonomous vehicle simulation system for analyzing motion planners
An autonomous vehicle simulation system for analyzing motion planners is disclosed. A particular embodiment includes: receiving map data corresponding to a real world driving environment; obtaining perception data and configuration data including pre-defined parameters and executables defining a specific driving behavior for each of a plurality of simulated dynamic vehicles; generating simulated perception data for each of the plurality of simulated dynamic vehicles based on the map data, the perception data, and the configuration data; receiving vehicle control messages from an autonomous vehicle control system; and simulating the operation and behavior of areal world autonomous vehicle based on the vehicle control messages received from the autonomous vehicle control system.
Method for parameter design and numerical simulation of jet trencher nozzle
The present disclosure provides a parameter design and numerical simulation method for jet trencher nozzle, comprising the following steps: S1. designing parameters of nozzle; S2. selecting the parameters of nozzle; S3. establishing a geometric model; S4. setting boundary conditions and delineating grids; S5. performing numerical simulation using Flow-3D; and S6. performing results processing and analysis. According to the present invention, the whole process of nozzle flushing and ground breaking can be simulated, the size of the cross-section of the flushing trench is measured, and by analyzing the obtained result, the reasonability of nozzle radius parameter design can be verified, and a certain reference is provided for design of inclination angle parameters.
Integrated process-structure-property modeling frameworks and methods for design optimization and/or performance prediction of material systems and applications of same
Integrated process-structure-property modeling framework and method for design optimization and/or performance prediction of a material system are provided. The Integrated process-structure-property modeling framework includes a powder spreading model using a discrete element method to generate a powder bed; a thermal-fluid flow model of the powder melting process to predict voids and temperature profile; a cellular automaton model to simulate grain growth based on the temperature profile; and a reduced-order micromechanics model to predict mechanical properties and fatigue resistance of resultant structures by resolving the voids and grains.
Systems and methods for combined physical and numerical simulation of subterranean characteristics
Techniques for modeling subterranean characteristics by combining physical and numerical simulations using limited amounts of subsurface full diameter core samples via orthogonal experimentation schemes. Systems and methods applying synchronous fitting and prediction of physical simulation and numerical simulation to obtain the equivalent permeability of fracture cells in numerical simulation, to provide a basis for assigning a value to the equivalent fracture cell permeability during numerical simulation. According to the specific subterranean reservoir characteristics, the water invasion orthogonal experiments are completed by combining physical simulation with numerical simulation to analyze the main factors of water invasion in reservoirs.
Diffusion flux inclusion for a reservoir simulation for hydrocarbon recovery
A method includes selecting a model for a simulation of hydrocarbon recovery from a reservoir having a plurality of fractures during injection of an injected gas into the plurality of fractures. Selecting the model includes determining a flux ratio of a convection rate to a diffusion rate for the reservoir, determining whether the flux ratio is less than a threshold, and in response to the flux ratio being less than the threshold, selecting the model that includes diffusion. Selecting the model includes performing the simulation of the hydrocarbon recovery from the reservoir based on the model.