Resizable Rigid Body Simulation in CAD Systems
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Solution Overview
Problem
In computer-aided design (CAD) systems, repeatedly resizing rigid parts for motion analysis is inefficient as users must discard and rebuild models with new dimensions, leading to time-consuming processes.
Innovation Solution
A method to automatically adjust the size of rigid bodies by representing them as geometric primitives with constraints, allowing for resizing without rebuilding models, enabling the reuse of rigid body models in simulation processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If rigid parts are resized for motion analysis iterations, then design optimization can be performed, but the rigid body model must be discarded and rebuilt each time, leading to time consumption
Solution Approach 1:
The patent applies the dynamics principle by transforming static rigid body definitions into dynamic parameterized models. The rigid body is defined using geometric primitives (vertices, edges, faces) with parameters that can be modified without rebuilding the entire model. This allows the model to adapt to different size requirements while maintaining its structural integrity and simulation capabilities.
Solution Approach 2:
The patent implements parameter changes by representing rigid bodies through parameterized geometric primitives rather than fixed geometry. Key parameters such as vertex positions, edge lengths, and face orientations are defined as modifiable variables. When resizing is needed, only these parameters are updated while the underlying model structure remains intact, eliminating the need to discard and rebuild the entire model.
2Manufacturing precision
If rigid body models are rebuilt in every iteration cycle, then accurate motion analysis can be performed with correct dimensions, but the process becomes inefficient and time consuming
Solution Approach 1:
The patent applies preliminary action by pre-defining the rigid body structure using geometric primitives and establishing the relationships between vertices, edges, and faces before simulation. This preliminary parameterized framework allows rapid iteration where only numerical values need adjustment rather than complete model reconstruction, thus maintaining accuracy while improving productivity.
Solution Approach 2:
The patent uses copying by creating a parameterized template of the rigid body that can be instantiated multiple times with different parameter values. Instead of rebuilding the model from scratch each iteration, the same structural template is copied and adjusted with new dimensional parameters, ensuring consistency and accuracy while significantly reducing the time required for each iteration cycle.
3Ease of operation
If conventional rigid body models are used, then motion analysis can be performed, but resizing requires discarding the model and building new ones
Solution Approach 1:
The patent applies segmentation by dividing the rigid body into geometric primitives (vertices, edges, faces) that can be independently parameterized and modified. This segmentation allows the model to be resized by adjusting individual primitive parameters rather than managing entire model assemblies, simplifying the operation while reducing the complexity of model management through modular parameter control.
Data Source
AI summary
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.