Hexahedral Mesh Generator Using Shape Decomposition

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Solution Overview

Problem

Existing hexahedral mesh generation techniques require significant expertise and labor to decompose analysis models into shapes suitable for hexahedral mesh generation, and are inefficient in handling parts with differing shapes, limiting the effective use of existing mesh data.

Innovation Solution

A hexahedral mesh generator that compares existing analysis models with the target model, extracts and displays coinciding shape decomposition parts, and uses these parts to decompose the target model, thereby generating hexahedral mesh efficiently.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of manufacture

If conventional hexahedral mesh generation techniques are used, then mesh generation can be performed, but significant expertise and labor are required to decompose analysis models into shapes suitable for hexahedral mesh generation

Engineering Contradiction:

Improveease of mesh generationVSAvoidtime required for model decomposition

Core Design Contradiction:

Ease of manufactureVSLoss of time

Solution Approach 1:

The system performs shape decomposition automatically in advance before mesh generation is needed. By pre-decomposing the analysis model into suitable shapes and storing the decomposition results, the system eliminates the need for manual decomposition labor during the actual mesh generation process, thus resolving the contradiction between ease of manufacture and time loss.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system enables itself to perform the shape decomposition task that previously required human expertise. Through automated algorithms that compare existing analysis models with the target model and automatically decompose shapes, the system serves itself rather than requiring manual intervention, thereby improving ease of manufacture while reducing time loss.

Inventive Principle:

Principle #25Self-service

2Productivity

If existing analysis models are used as templates, then mesh generation efficiency is improved, but the shapes of existing models differ partially from the target model shape, limiting the usable region

Engineering Contradiction:

Improvemesh generation efficiencyVSAvoidadaptability to shape differences

Core Design Contradiction:

ProductivityVSAdaptability or versatility

Solution Approach 1:

The system segments the analysis model into multiple shape components through automatic shape decomposition. By dividing the complex model into simpler, recognizable shapes and comparing them with existing analysis models, the system can selectively reuse mesh data from existing models for matching regions while generating new mesh for differing regions, thus improving both efficiency and adaptability.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system applies different handling strategies to different regions of the analysis model based on their similarity to existing models. For regions with matching shapes, existing mesh data is reused; for regions with differing shapes, new mesh is generated. This local differentiation allows the system to maintain high efficiency where possible while adapting to shape differences where necessary.

Inventive Principle:

Principle #3Local quality

3Manufacturing precision

If manual decomposition of analysis models is performed, then shape decomposition can be achieved, but the number of steps and man-hours are determined by skill level

Engineering Contradiction:

Improveaccuracy of shape decompositionVSAvoidcomplexity of decomposition process

Core Design Contradiction:

Manufacturing precisionVSDevice complexity

Solution Approach 1:

The system replaces the manual mechanical process of shape decomposition with an automated computational system. The automated system uses algorithms to compare existing analysis models with the target model, automatically identify matching shapes, and perform decomposition without human intervention. This substitution maintains decomposition accuracy while eliminating the complexity and variability associated with manual processes.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS9202314B2Hexahedral mesh generator

Publication Date: 2015.12.01 HITACHI LTD

AI summary

A hexahedral mesh generator for an analysis model generation target includes an existing analysis model database that stores shape data of existing analysis models before and after shape decomposition, a shape decomposition part extracting module that compares the shapes existing analysis models before and after the shape decomposition, a shape comparison module that compares each shape decomposition part with the analysis model generation target and checks whether the shape decomposition part coincides with at least part of the analysis model generation target, a coinciding shape decomposition part display/selection module that displays coinciding shape decomposition parts and outputs shape decomposition parts selected by the user, a shape decomposition module that decomposes the shape of the analysis model generation target in the same way as the outputted shape decomposition parts, and a hexahedral mesh generating module that generates the hexahedral mesh for the analysis model generation target after undergoing the shape decomposition.