Multi-Zonal Analysis of Physical Objects
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Solution Overview
Problem
Current computational simulation methods are limited in their ability to perform multi-zonal analysis of physical objects, as they often require a single model and solution method across all zones, failing to account for varying physical characteristics and behaviors within different zones of a physical object.
Innovation Solution
A processor-implemented system that divides a physical object into multiple zones based on common physical characteristics, allowing for the selection and application of different engineering models, solution methods, and parameters in each zone to analyze and simulate the physical behavior, enabling varied models and discretization schemes per zone.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single model and solution method is used across all zones, then the system complexity is reduced and ease of operation is improved, but the measurement precision and manufacturing precision of physical behavior analysis deteriorate due to inability to account for varying physical characteristics in different zones
Solution Approach 1:
The physical object is divided into multiple zones based on common physical characteristics, allowing different models and solution methods to be applied to each zone. This segmentation enables precise modeling of varying physical behaviors while maintaining systematic organization through automated zone identification and model assignment.
Solution Approach 2:
Different engineering models, solution methods, and parameters are selected and applied to specific zones based on their unique physical characteristics. This local customization allows each zone to be analyzed with the most appropriate model for its specific physical behavior, thereby improving overall analysis precision without requiring manual configuration for each zone.
2Adaptability or versatility
If different models and solution methods are selected for each zone, then the measurement precision and adaptability are improved, but the device complexity and difficulty of operation increase due to multiple model selections and configurations
Solution Approach 1:
The system performs preliminary automated classification of zones based on their physical characteristics before model selection. By pre-identifying zone types and their dominant physical behaviors, the system prepares the foundation for automatic model assignment, eliminating the need for manual model selection and simplifying user operation while maintaining high adaptability.
Solution Approach 2:
The system automatically selects appropriate engineering models, solution methods, and parameters for each zone based on their physical characteristics without requiring manual intervention. The automated model selection process serves itself by using the classified zone information to directly assign the most suitable models, thereby maintaining versatility while improving ease of operation.
3Manufacturing precision
If detailed multi-zonal analysis is performed with zone-specific models, then the manufacturing precision and reliability of simulation results are improved, but the productivity and loss of time increase due to complex computational requirements
Solution Approach 1:
The system changes the parameters of computational complexity by automatically selecting appropriate model fidelity levels for each zone based on their physical characteristics. Critical zones with complex physics receive detailed models, while less critical zones use simplified models, thereby maintaining high simulation accuracy for important regions while improving overall computational efficiency and reducing analysis time.
Solution Approach 2:
The system applies detailed multi-zonal analysis with high-fidelity models only to zones where it is most needed based on their physical characteristics and importance to the overall system behavior. Less critical zones receive adequate but less computationally intensive modeling, thereby achieving sufficient simulation accuracy while significantly reducing overall computational requirements and improving productivity.
Data Source
AI summary
A multi-zonal analysis processor-implemented system is provided for analyzing physical behavior of a multi-zonal physical object. Candidate multi-zonal engineering models, solution methods, and parameters associated with the engineering models and solution methods are selected for use in analyzing different zones of the physical object.