Flow-Guided Domain Decomposition for Low-Diffusion Physical Simulation
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Solution Overview
Problem
Current domain decomposition methods for complex shapes and free-form surfaces in product simulation rely heavily on skilled engineers' intuition, leading to inconsistent and inefficient numerical diffusion during physical simulations.
Innovation Solution
An information processing apparatus and method that automates domain decomposition by first randomly decomposing object data into pre-meshes, performing physical operations, and then further decomposing based on streamlines and normal lines to minimize numerical diffusion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If domain decomposition is performed manually by skilled engineers based on intuition, then the decomposition can be adapted to specific problems, but it requires strong know-how and is time-consuming
Solution Approach 1:
The system performs domain decomposition automatically without requiring manual intervention from skilled engineers. The algorithm autonomously analyzes the object data, executes physical operations, determines stream tubes/streamlines/stream surfaces, and generates the final decomposition based on objective criteria rather than human judgment
Solution Approach 2:
The patent replaces the manual mechanical process of engineer judgment and intuition with an automated computational system. The decomposition is achieved through algorithmic processing of object data using physical operation results and streamline analysis, substituting human expertise with automated computational mechanisms
2Manufacturing precision
If manual domain decomposition is used, then engineering judgment can be applied, but numerical diffusion occurs and simulation accuracy deteriorates
Solution Approach 1:
The system uses feedback from physical operation results to guide the domain decomposition process. By determining stream tubes, streamlines, or stream surfaces based on the physical operation results, the decomposition is continuously optimized to minimize numerical diffusion and maximize simulation accuracy
Solution Approach 2:
The patent changes the parameters of domain decomposition from subjective engineer judgment to objective physical operation results. The decomposition is based on measurable physical quantities and streamline characteristics, transforming the process into a precise, repeatable computational method that minimizes numerical diffusion
3Ease of operation
If automated domain decomposition is implemented, then dependency on human judgment is reduced, but the process requires multiple execution steps
Solution Approach 1:
The system performs preliminary actions by first executing a physical operation on the object data to generate results that will be used for decomposition. This preliminary physical operation prepares the necessary information (stream tubes, streamlines, stream surfaces) that enables subsequent automated decomposition, making the overall process more efficient despite the multiple steps
Data Source
AI summary
An information processing device is configured so as to execute a first division execution step, a physical computation step, and a second division execution step. The target data is mesh data, polygon data, or CAD data for an object or a space, and the regional division is computation for dividing the target data into a plurality of regions. In the first division execution step, first regional division of the target data is executed. In the physical computation step, physical computation is performed on the target data subjected to the first regional division. In the second division execution step, the result of the physical computation is used as a basis to determine a plurality of flow tubes, flow lines, or flow surfaces. In the second division execution step, second regional division is executed on the basis of the flow tubes, the flow lines, or the flow surfaces.