Bidirectional Link for Multiphysics Modeling via Design Interface
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Solution Overview
Problem
Current computer design systems lack the capability to effectively model and simulate complex multiphysics environments, where multiple physical phenomena such as chemical kinetics, fluid mechanics, and electromagnetic phenomena need to be combined and solved using coupled systems of partial differential equations (PDEs), requiring an efficient and flexible method to represent and solve these interactions.
Innovation Solution
A method and system for dynamically controlling a multiphysics modeling system through a design system, where settings are transmitted and results are displayed in a graphical user interface, allowing for the combination of physical phenomena and the solution of coupled PDEs, using a model tree structure to represent and solve multiphysics problems by establishing a bidirectional link between the design system and the multiphysics modeling system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a design system is enhanced to model and simulate complex multiphysics environments by combining multiple physical phenomena and solving coupled PDEs, then the capability to analyze complex environments is improved, but the device complexity and computational requirements increase
Solution Approach 1:
The system is divided into separate functional modules: a design system for geometry creation, a multiphysics modeling system for PDE solving, and a graphical user interface for integration. This segmentation allows each component to specialize in specific tasks while reducing overall system complexity through modular architecture.
Solution Approach 2:
A graphical user interface acts as an intermediary layer between the design system and the multiphysics modeling system. This mediator translates design system outputs into multiphysics model inputs and presents simulation results in a user-friendly format, enabling complex multiphysics capabilities without directly increasing design system complexity.
2Measurement precision
If multiple physical phenomena are combined and coupled PDEs are solved to model complex environments, then the measurement precision and analysis capability are improved, but the computational time and complexity increase
Solution Approach 1:
The system performs preliminary actions by automatically generating multiphysics model definitions from design system geometry and parameters before simulation execution. This pre-processing step prepares the coupled PDE system in advance, reducing computational time during the actual simulation phase while maintaining analysis precision.
Solution Approach 2:
The system dynamically adjusts simulation parameters and model complexity based on design requirements and computational resources. By optimizing parameter selections and model fidelity, the system achieves high analysis precision for critical aspects while reducing computational time for less critical regions through adaptive parameter changes.
Data Source
AI summary
Systems and methods for controlling settings of a design system include receiving, via a communications interface, identifying data associated with a multiphysics modeling system. Instructions are transmitted via the communication interface or another interface. The instructions include model settings related to a multiphysics model at least partially residing in the multiphysics modeling system. Model results are received that are at least partially derived from the transmitted model settings. At least a portion of the received model results are displayed in a graphical user interface associated with the design system.