Dassault Systemes Solidworks Corporation

Solidworks Corporation

Dassault Systems Solidworks Corporation

Kyeong Hwi Lee

Shrikant Savant

Robert P Zuffante

Marc Joel Leizza

Girish Mule

Boris C Shoov

Bowen Yu

Mark G Gibson

David Blumenthal

A method preserves shapes in a solid model when distributing material during topological optimization. A 3D geometric model of a part having a boundary shape is received. The geometric model is pre-processed to produce a variable-void distance field and to produce a frozen distance field representing the boundary shape. The geometric model is apportioned into a plurality of voxels, and a density value is adjusted for each voxel according to an optimization process. An iso-surface mesh is extracted from the voxel data, and an iso-surface distance field is generated from the extracted iso-surface mesh. A distance field intersection is derived between the iso-surface distance field and the variable-void distance field. A distance field union is performed between the distance field intersection and the frozen distance field, and a result iso-surface mesh is produced from the distance field union.

Method for preserving shapes in solid model when distributing material during topological optimization with distance fields

A method preserves shapes in a solid model when distributing material during topological optimization. A 3D geometric model of a part having a boundary shape is received. The geometric model is pre-processed to produce a variable-void mesh and to produce a frozen mesh representing the boundary shape. The geometric model is apportioned into a plurality of voxels, and a density value is adjusted for each voxel according to an optimization process. An iso-surface mesh is extracted from the voxel data, and a mesh Boolean intersection is derived between the extracted iso-surface mesh and the variable-void mesh. A mesh Boolean union between the mesh Boolean intersection and the frozen mesh.

Method for preserving shapes in solid model when distributing material during topological optimization

A computer-implemented method and system automatically solves constraints in a computer-aided design (CAD) model. A CAD model of a real-world object capable of assuming various positions is constructed and a constraint solver process is initiated and executes while a user defines multiple positions of the CAD model. Input of data specified during a CAD design workflow is automatically input to the constraint solver process, and unknown variables are solved for as part of the CAD design workflow.

Mechanism synthesis approach to solving design problems with position based constraints

A computer-implemented method automates motion of a computer-aided design (CAD) model. The CAD model represents a real-world object comprised of a number of parts. The part containing a user-specified entity is analyzed to collect data relevant to a motion study, for example, size data, location data, and material type data are collected. Based on the user-specified entity, parameters for automating motion are inferred and used to automate motion. The parameters include at least one of a part that is moved directly by a motor, a location on the part where the motor is mounted, a motor type, an axis of motion of the part, and a motion function indicating a change of motion over time.

Automatic motion of a computer-aided design model

A computer-implemented method and system automatically adjusts the size of a rigid body model. The method and system construct a two-dimensional model or a three-dimensional model, where the model has one or more rigid bodies. The rigid bodies are converted into geometric primitives that represent a respective rigid body and enable the respective rigid body to resize. One or more of the primitives are constrained to one another. A solver process changes a size of at least one geometric primitive and a rigid body simulation process uses the resized primitive(s) as input.

Simulation of resizable bodies using a rigid body solver

A computer-implemented method and system automatically manages relationships between moving parts of a computer-aided design model. Two parts are selected, the parts being structurally independent of one another. One of the parts is determined to be a driving part and the other part is determined to be a driven part. A new position is applied to the driving part, and temporary constraints between the driving part and the driven part are added. A constraint solver is executed to move the two parts into solved positions. Additionally, after execution of the constraint solver, the added temporary constraints are removed.

Automatic creation of temporary rigid relationships between moving parts in motion simulation

Automatically computing the reflected mass or reflected inertia of a computer-aided design model comprised of a motor includes executing a simulation of the model, using the simulation results to compute the reflected mass or reflected inertia, and treating the non-motor parts of the model as a virtual body having a time-varying mass or a time-varying inertia. The mass or inertia of the virtual body at a specific time is the reflected mass or reflected inertia, respectively, of the model at the specific time.

Automatic computation of reflected mass and reflected inertia

Computer-implemented method and apparatus for processing data representing a three-dimensional object model includes generating an image of a modeled object. The modeled object is formed from a number of different components that can be arranged in different positions, and the generated image depicts a change in a position of a first one of the components with respect to a second one of the components.

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Lexington, MA, United States of America

Kyeong Hwi Lee