Mesh Transformation Engine for Manufacturing Simulation
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Solution Overview
Problem
Current manufacturing process simulations are computationally expensive and require complex mesh transformations, often requiring manual scripting by experts, which can be time-consuming and may not accurately depict physical and state changes due to underlying factors like symmetry and physics of the phenomenon.
Innovation Solution
A computer-implemented method and system for transforming mesh using transformation rules and operators, automatically generating a transformation chain based on the current problem context to efficiently transform meshes for simulation, reducing computational burden and ensuring accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual scripting by experts is used for mesh transformations, then transformation accuracy may be improved, but time consumption and device complexity increase significantly
Solution Approach 1:
The system enables self-service through automatic mesh transformation. The transformation engine automatically selects appropriate transformation rules and executes transformations without requiring manual scripting by experts. The system serves itself by having the transformation engine autonomously determine the sequence of operations and apply them to the mesh data, eliminating the need for manual intervention while maintaining transformation accuracy.
Solution Approach 2:
The patent replaces the mechanical system of manual scripting with an automated computational system. Instead of experts manually creating and executing transformation scripts, the system uses a transformation engine that automatically selects and executes transformation rules based on the mesh data and simulation requirements. This substitution of manual mechanical processes with automated computational processes reduces time consumption while maintaining accuracy.
2Manufacturing precision
If complex mesh transformations are performed manually, then transformation detail may be improved, but device complexity and operational difficulty increase
Solution Approach 1:
The patent applies segmentation by breaking down complex mesh transformations into discrete transformation rules. Each rule represents a specific transformation operation that can be independently selected and executed. The transformation engine segments the overall transformation process into a sequence of manageable rules, making the complex process systematic and automated rather than requiring manual handling of entire complex transformations.
Solution Approach 2:
The transformation engine provides universality by being able to execute multiple different transformation rules through a single unified system. Rather than requiring separate complex systems for different transformation types, the engine can select and execute various transformation rules (such as symmetry-based transformations, physics-based transformations, or geometry-based transformations) through the same automated framework, reducing overall system complexity.
3Productivity
If assumptions are made for processing analytical model information, then computational efficiency is improved, but simulation accuracy may deteriorate
Solution Approach 1:
The patent applies parameter changes by using different transformation rules for different regions or conditions of the mesh. Instead of applying a single assumption-based transformation to the entire mesh, the system can select different transformation rules (with different levels of assumption and computational complexity) for different parts of the mesh, thereby maintaining accuracy in critical regions while achieving computational efficiency in less critical regions.
Solution Approach 2:
The system implements local quality by allowing different transformation rules to be applied to different regions of the mesh based on local requirements. Critical regions that require high accuracy can use more precise transformation rules, while less critical regions can use simpler, more computationally efficient rules. This localized approach maintains overall simulation accuracy while improving computational efficiency.
Data Source
AI summary
A method and system is provided for transforming mesh for simulating manufacturing processes and products. The present application provides a method and system for transforming mesh for simulating at least one manufacturing process and at least one product comprises of selecting one or more transformation rules; executing the selected one or more transformation rules for obtaining a transformation chain; and executing the obtained transformation chain for obtaining a transformed mesh data using a transformation engine.